AI is transforming the types of skills employers are looking for

AI is transforming the skills needed in the workplace.

However, human skills remain fundamental.

The following contribution comes from the World Economic Forum’s «Jobs and the Future of Work» portal. It is authored by Karin Kimbrough, Chief Economist at LinkedIn.

 

 

Today, people are more than twice as likely to acquire AI skills than they were in 2018.

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According to a new report, AI is accelerating the pace of change in the workplace.

Today, people are more than twice as likely to acquire AI skills than they were in 2018. Paradoxically, this increased focus on technology also means a greater demand for human skills. In the workplace, things are changing, and that pace of change is accelerating.

Globally, more than 10% of workers employed today hold positions that didn’t exist in 2000 (in the US, the figure is approaching 20%).

 

As our recently published Workplace Change Report: AI Comes to Work reveals, for companies, leaders, and professionals, the work environment is virtually unrecognizable compared to just a generation ago.

 

From the growing influence of artificial intelligence on everyday tasks and new skills, to the creation of entirely new jobs, these trends are beginning to redefine today’s work environment.

 

A new study reveals that AI is placing greater emphasis on interpersonal skills at work.

As companies adapt to trends such as technological innovation and demographic shifts, leaders are empowering their teams to adapt and thrive in a constantly evolving environment. At the same time, professionals are responding to these changes, often updating their skills, retraining, or embarking on entirely new career paths.

 

The path will be very different for those entering the workforce today than it was 15 years ago. Professionals are likely to hold twice as many jobs throughout their careers compared to their predecessors: 20 jobs now versus 11 in 2010.

 

While these changes present unique challenges for businesses, such as talent retention and continuous training, they also create new opportunities for innovation and a dynamic labor market.

Let’s take a closer look at how work is changing in the emerging age of AI: AI skills are everywhere: Today, people are more than twice as likely to acquire AI skills than they were in 2018. Even occupations that were previously less likely to value AI skills—for example, recruiters, marketing professionals, salespeople, and healthcare professionals—are now seven times more likely to acquire them than they were just six years ago.

Furthermore, digital literacy (AI) skills are a key factor for job seekers: professionals who master AI will stay ahead of the competition and secure long-term career success.

Hiring managers know this, and more than half say they wouldn’t hire someone without these skills.

In fact, while only one in 500 job postings on LinkedIn mentions digital literacy, it’s no surprise that the demand for these skills has increased more than sixfold in the last year.

 

Workers are expanding their skills

Globally, today’s professionals are adding 40% more skills to their profiles than in 2018.

And it’s not just professionals: companies and leaders are beginning to understand the importance of training their teams in AI.

 

Digital literacy skills, such as process engineering and proficiency with tools like ChatGPT or Copilot, are equally important. Since 2023, the number of AI-related skills added by LinkedIn members has increased by 177%.

Interpersonal skills are becoming increasingly important

In roles that previously didn’t value human skills as highly, the importance of these specific skills has grown by 20% since 2018. As organizations understand the full potential of AI, they are also realizing its limitations: those tasks that require the unique human skills every business needs.

 

The current evolution of the work environment is prompting both managers and employees to rethink their working methods.

 

While the accelerated pace of change, compared to previous technological transformations, can be overwhelming, it also opens the door to significant opportunities for those who adapt proactively and develop new skills.

 

 

AI is changing who gets hired: what skills will keep you employed?

The following contribution comes from «The Conversation,» which defines itself as follows: The Conversation is a non-profit, advertising-free, and open-access editorial platform that provides media outlets and readers with informative articles and analyses written by the academic and research community.

 

Our team of editors, specialized journalists, supports and guides experts in conveying their knowledge to readers in clear, concise, and accessible language.

The author is Murugan Anandarajan, Professor of Decision Science and Management Information Systems, Drexel University.

 

 

The consulting firm Accenture recently laid off 11,000 employees while intensifying its efforts to train its staff in the use of artificial intelligence.

This reminds us that the same technology that drives efficiency is also redefining what it takes to keep a job.

 

 

And Accenture isn’t the only one. IBM has already replaced hundreds of positions with AI systems

while simultaneously creating new jobs in sales and marketing. Amazon reduced staff even as it expanded the teams that develop and manage AI tools.

Across all sectors, from banks to hospitals to creative companies, both workers and managers are trying to understand which jobs will disappear, which will evolve, and which new ones will emerge.

I research and teach at Drexel University’s LeBow School of Business, where I study how technology is transforming work and decision-making. My students often ask me how to stay employable in the age of AI. Executives ask me how to build confidence in a technology that seems to be advancing faster than people can adapt. Ultimately, both groups are asking the same question: What skills are most important in an economy where machines learn?

To answer this question, I analyzed data from two surveys my colleagues and I conducted this summer.

In the first, the Data Integrity and AI Readiness Survey, we asked 550 companies nationwide how they use and invest in AI.

In the second, the College Hiring Outlook Survey, we analyzed how 470 employers viewed hiring entry-level staff, workforce development, and candidates’ AI skills. These studies show both sides of the coin: those who develop AI and those who learn to work with it.

AI is everywhere, but are people ready?

More than half of the organizations told us that AI now drives daily decision-making, but only 38% believe their employees are fully prepared to use it.

This gap is transforming today’s job market. AI isn’t just replacing workers; it’s revealing who is ready to work with it.

Our data also reveals a contradiction. While many companies now rely on AI internally, only 27% of recruiters are comfortable with candidates using AI tools for tasks such as writing resumes or researching salary ranges.

 

In other words, the very tools that companies rely on for business decisions still raise concerns when job seekers use them to advance their careers. Until this perspective changes, even skilled workers will continue to receive mixed messages about what «responsible use of AI» truly means.

The gap was most evident

In the Data Integrity and AI Readiness Survey, this readiness gap was most evident in operational and customer-facing roles, such as marketing and sales.

 

These are the same areas where automation is advancing rapidly, and layoffs often occur when technology evolves faster than people can adapt.

At the same time, we found that many employers have not updated their degree or credential requirements.

They continue to hire based on outdated resumes, while the jobs of the future demand AI proficiency. The issue is not that AI is replacing people, but that technology is evolving faster than most workers can adapt.

 

Fluency and confidence: The pillars of adaptability

Our research suggests that the skills most closely linked to adaptability share a core theme: what I call “human-AI fluency.” This involves the ability to work with intelligent systems, question their outcomes, and continue learning as things change.

In every company, the biggest challenges lie in scaling AI, ensuring compliance with ethical and regulatory standards, and connecting AI to real business objectives. These obstacles are not about programming, but about sound judgment.

 

 

Useful Information for Humans

In my classes, I emphasize that the future will favor those who can transform machine output into useful information for humans. I call it digital bilingualism: the ability to navigate fluently between human judgment and machine logic.

What management experts call «retraining»—or learning new skills to adapt to a new role or significant changes in a previous one—works best when people feel safe to learn.

In our Data Integrity and AI Readiness Survey, organizations with strong governance and high levels of trust were almost twice as likely to report improvements in performance and innovation. Data suggests that when people trust their leaders and systems, they are more willing to experiment and learn from mistakes.

In this way, trust transforms technology from something to fear into something to learn from, giving employees the confidence to adapt.

According to the University Hiring Outlook Survey, approximately 86% of employers now offer in-house training or intensive online courses; however, only 36% say that AI-related skills are important for entry-level positions. Most training still focuses on traditional skills rather than those needed for new AI jobs.

 

The most successful companies integrate learning into the work itself.

They create learning opportunities in real-world projects and encourage employees to experiment. I often remind leaders that the goal is not just to train people to use AI, but to help them think alongside it. This is how trust becomes the foundation for growth and how retraining helps retain employees. The New Rules of Hiring

In my opinion, leading AI companies aren’t just cutting jobs; they’re redefining them. To succeed, I believe companies will need to hire people who can combine technology with sound judgment, question what AI produces, explain it clearly, and turn it into business value.

At companies that are implementing AI most effectively, hiring is no longer based solely on resumes. What matters is how people apply qualities like curiosity and judgment to intelligent tools. I believe these trends are giving rise to new hybrid roles, such as AI translators, who help decision-makers understand the meaning of the information AI provides and how to act accordingly, and digital coaches, who teach teams how to work alongside intelligent systems. Each of these roles connects human judgment with artificial intelligence, demonstrating how the jobs of the future will combine technical skills with human intuition.

That combination of judgment and adaptability is the new competitive advantage. The future will reward not only the most technically skilled workers, but also those who can turn intelligence—human or artificial—into real value.

 

 

The Great Skills Transformation: How AI Is Transforming 70% of Jobs by 2030

The following contribution comes from the website of Bernard Marr, a world-renowned futurist, influencer, and thought leader in the fields of business and technology, passionate about using technology for the good of humanity. He is the author of more than 20 books, many of them bestsellers and award winners, writes a regular column for Forbes, and advises and trains many of the world’s most recognized organizations.

Bernard Marr is the author of the article.

 

 

In my recent conversation with Aneesh Raman, Director of Economic Opportunities at LinkedIn, he shared a statistic that should grab everyone’s attention: by 2030, 70% of the skills required for the average job will have changed.

Let’s reflect on this. 70%. As Raman puts it: «By 2030, virtually everyone who has a job will be in a new one, because the skills required for each position will change radically.»

 

This isn’t just a gradual shift in how we work. We’re witnessing nothing less than a complete reinvention of the labor market, one that could finally fix what has been failing for ages.

 

 

Why the Labor Market Has Always Been Broken

The traditional labor market has been fundamentally flawed from its inception. “The labor market is one of the least transparent, least dynamic, and least equitable markets that humanity has ever created,” Raman told me.

During our goods-based economy, it was “explicitly exploitative,” necessitating laws to prevent child labor and unsafe working conditions.

Even in our current knowledge economy, the labor market has been “implicitly career-biased.

Do you have the right degree from the right university?

Do you have the right connections?

Do you have the right position at the right prestigious company?”

 

These signals boil down to guesswork about who might be a good fit for a job, rather than a direct assessment of skills.

AI is about to make this flawed system unsustainable.

Why? Because AI forces us to think of jobs not as titles, but as sets of tasks that require specific skills. And as those tasks change, we need to better understand the skills people possess and the skills that jobs require.

 

The Four Phases of Economic Transformation

According to Raman, we are going through four distinct phases as AI transforms work:

«The first phase is disruption, and we’re seeing that in terms of AI adoption, with people using AI tools at work,» he explained.

The next phase is job transformation: that 70% skills shift mentioned earlier.

The third phase involves the creation of entirely new roles. Raman reminded me that «10% of all jobs in the world today didn’t exist at the beginning of the century.» Data scientists and social media managers simply weren’t job titles when the knowledge economy was taking shape.

Finally, we’ve arrived at a new economic paradigm. Raman calls it “the innovation economy,” where creativity, imagination, and human innovation capabilities become fundamental to value creation.

 

The Paradox of Expertise

Imagine trying to find a world-class conductor who can also build violins from scratch. That’s often what companies are looking for when searching for AI directors: technical experts who also excel at business transformation at the corporate level.

This search for the ideal candidate often ends in one of two compromises: hiring technical experts who understand neural networks but struggle with organizational change, or selecting business leaders who can’t gain the trust of AI teams because they lack technical expertise.

One tech company I advised hired a renowned machine learning researcher as its Chief Intelligence Officer (CAIO). While she was brilliant at developing algorithms, she struggled to translate her technical skills into business value. The company’s AI initiatives became increasingly academic and disconnected from market needs.

On the other hand, a retail company appointed a seasoned business executive to the position. He excelled at stakeholder management but lacked the technical expertise to evaluate vendors’ increasingly outlandish claims about AI, leading to several costly mistakes.

This paradox of experience creates an impossible standard that predisposes even the most talented leaders to failure.

 

The Three-Category Analysis for Your Job

While this transformation may seem overwhelming, there is a practical framework anyone can use to manage it. Raman suggests taking the top twelve tasks of your current role and categorizing them into three groups:

The first group contains tasks that AI tools and agents will increasingly perform, if not fully automated: tasks such as summarizing notes or generating content templates.

The second group includes tasks you will perform in collaboration with AI. This involves what Raman calls «AI literacy»: the ability to use AI tools effectively in your daily work.

The third group encompasses tasks that remain exclusively human. This is where our work will increasingly focus in the innovation economy.

«If you focus too heavily on the first group,» Raman cautions, «it means you need to upskill and adapt. You won’t be safe staying in a job so vulnerable to AI disruption.»

Soft Skills Are the New Hard Skills

As AI takes on more analytical and computational tasks, what skills will humans need to cultivate? Raman identifies five critical capabilities, which he calls «the five Cs»:

 

«Curiosity, compassion, creativity, courage, and communication,» he listed. «Improve on them every day.»

These are no longer just desirable qualities. They are becoming the most sought-after skills in the job market. Analyzing LinkedIn data on the most in-demand skills in the UK, Raman observes that relationship building, strategic thinking, and communication rank higher than AI literacy or the use of complex language models.

«Soft skills are the new hard skills,» he says. «Technical skills are giving way to soft skills, which are becoming the must-have, most in-demand, and lasting skills.»

What makes these skills particularly valuable is that they represent distinctly human capabilities that even advanced AI cannot fully replicate.

 

 

AI can mimic these qualities in its outcomes, but it cannot develop them independently.

As Raman says, “We can’t provide AI with a dataset on how humans develop courage so that it can mimic or surpass us in that.”

The End of Linear Career Paths

Another casualty of AI’s impact on work is the traditional career ladder. Raman predicts the end of “linear” career progression, in which you enter a position, gradually move up, and simply manage more people and tasks.

Instead, he advocates for what he calls “winding” careers: diverse experiences that, while not readily explained by a job title, contribute to creating a unique set of skills and perspectives.

“My career isn’t defined by a job title,” Raman admits. “From war correspondent to Obama’s speechwriter, to economic growth expert, to this job we just invented.”However, this apparent chaos actually empowers people. «The moment you tell your personal story focusing on your skills, not on the jobs you did or didn’t get, the academic degrees you did or didn’t get, or what others gave you or didn’t give you, you immediately gain more control over your life.»

 

Your Future with AI Starts Now

Perhaps most importantly, this isn’t a distant future scenario. «This isn’t an economy that’s coming. It’s already here,» Raman emphasizes.

What does this mean for you today? First, develop basic AI skills. «Get some AI tools—Copilot, GitHub, Gemini, GPT—and start using them,» Raman advises. «You don’t need a certificate to know how to use Chat GPT or Copilot. Just use them and talk to them as if they were another person.»

Second, recognize that your future success depends less on academic degrees and more on the skills you develop and how you apply them. Ask yourself what skills you’re passionate about, what expertise you want to build, and what impact you hope to have.

Instead of viewing AI as a threat, Raman promotes a shift in mindset: «Last year, I tried to get us all to ask not what’s left for humans, but what’s possible with AI for humans at work.» This one-word shift—from “remains” to “possible”—can transform our perception of and readiness for the innovation economy.

HR Transformation: From Administration to Strategic Center

As work shifts from technology-centric to people-centric, HR departments are poised to move from support roles to strategic leaders.

“I think HR directors are the new chief technology officers, the next CEOs,” Raman told me, drawing a parallel with how technology leaders rose from administrative roles to leading business strategy during the rise of the knowledge economy.

 

This transformation requires key changes. The future involves more advanced workforce data analytics, the integration of compensation data with skills mapping, and the emergence of new talent-centric roles.

“I think we’ll soon reach the point where HR, Learning and Development, and Talent Acquisition will merge into one new role,” Raman predicted. These professionals will join project teams, helping to «recruit and develop the right people, and training team managers not only to manage tasks but also to boost motivation.»

IBM exemplifies this approach with an AI bot for Human Resources that handles routine tasks and directly links compensation to skills development. This isn’t theoretical: it’s already a reality.

The Future of People-Centered Work

Traditionally, the history of work has been the history of technology, where humans are mere inputs in the productivity equation. The disruption of AI offers the opportunity to change this narrative and make work truly people-centered for the first time.

«There is unlimited potential for people if we can organize ourselves with a pro-human vision for the future of work,» Raman concludes.

The 70% skills shift expected by 2030 is not a threat, but an invitation to finally build a labor market that values ​​human capabilities, fosters innovation, and creates opportunities for all those willing to adapt. The broken labor market is being rebuilt, and we all have the opportunity to help shape it.

 

 

The Skills Most Sought After by Employers Have Nothing to Do with Technology

The following contribution comes from the Professional & Executive Development portal, a division of continuing education at Harvard University.

It is authored by Melissa Russell, an award-winning journalist and editor based in the Boston area. She has written for numerous media outlets, websites, trade publications, and other platforms.

 

In an era of increasingly sophisticated technology and generative artificial intelligence, these professional skills are enduring.

The world of work is changing rapidly. The rise of artificial intelligence, automation, and other sophisticated technologies is expected to eliminate many jobs, transform others, and create new fields.

To find new solutions to persistent problems, overcome challenges, and create environments conducive to innovation, companies need agile leaders who think critically, inspire others, and foster creativity: a set of skills known as «lasting skills.»

 

 

The Crucial Need to Develop Enduring Skills

Professionals who want to remain relevant in their fields will need these skills, often called “soft” or “enduring” skills, to open new perspectives, remain competitive, and create new possibilities.

Anne Manning and Susan Robertson teach the course Creative Thinking: Innovative Solutions for Complex Challenges in Harvard’s Division of Continuing Education for Professional and Executive Development. The course focuses on the creative thinking skills needed to solve complex problems and design innovative solutions.

 

“The landscape is constantly changing; technology is constantly evolving, and at an ever-increasing pace. [But] I think the challenges people face are the same ones I faced as a young professional: you’re always trying to solve some kind of challenge,” says Manning. “Your tools and techniques may change, but the key to success lies in how you think, how you approach the situation, and how you channel other people’s energy around it.”

Robertson added: “The ability to adapt more nimbly to change, when new ideas and solutions are needed, is a fundamental skill in the workplace. I believe it’s the foundation of success.”

How Technology Is Transforming the Job Market

According to the World Economic Forum’s 2023 Future of Jobs report, technology will transform businesses over the next decade, with the fastest-growing jobs driven by technology, digitalization, and sustainability.

AI and machine learning specialists top the list of fast-growing jobs, while administrative and clerical roles, as well as those that can be replaced by artificial intelligence, are among those experiencing the greatest decline.

As a result, the report states, “analytical thinking and creative thinking remain the most important skills for workers.”

Why Lifelong Learning Matters

According to a 2024 LinkedIn report, most employees say that improving their skills is a top priority and that they would dedicate more time to their own development if learning were personalized to their interests and goals.

All professionals, no matter how busy they are, should prioritize lifelong learning as a means to ensure a viable future, says Robertson.

“Learning new skills is important, but it never seems to be the top priority,” she says. “A year from now, you’ll regret not prioritizing it. There are many ways to acquire these skills; the hard part is prioritizing them.”

Harvard’s Executive and Professional Development program offers ongoing support to professionals throughout their lifelong learning journey.

Whether you’re looking to enhance your communication skills, leadership abilities, or artificial intelligence training, there are dozens of courses to help you continue learning and growing.

See all Executive and Professional Development programs.

Working Skills Employers Will Seek in 2024 and Beyond

AI and big data skills will become increasingly important in the coming years, but Robertson points out that the World Economic Forum (WEF) still considers analytical thinking and creativity to be the most sought-after skills in job applications and resumes.

The WEF interviews corporate leaders, CEOs, and human resources professionals to gather insights into the current state of industries.

«These skills outperformed everything else you would expect in a report like this: above AI, resilience, and technology skills,» Robertson said.

Why is this? The growing importance of solving complex problems in the workplace.

«How do you generate such broad solutions that truly allow for innovation?» asks Manning. «To go beyond what is known, beyond what has been discussed, it is necessary to dedicate time to opening your mind to a wide range of possibilities, even if some seem far-fetched.»

She advises professionals and companies to create space for uncertainty and idea generation in order to explore new ideas and solutions. According to the World Economic Forum (WEF) report, the 10 most in-demand skills are:

Analytical thinking

Creative thinking

Resilience, flexibility, and agility

Motivation and self-awareness

Curiosity and continuous learning

Technological literacy

Artificial intelligence and big data

Talent management

Customer service orientation

Systems thinking

Similarly, a LinkedIn survey conducted in February 2024 revealed that global leaders agree that so-called soft or «lasting» skills are becoming increasingly important.

The survey listed the following skills as the most in-demand:

Communication

Customer service

Leadership

Project management

Management

Analysis

Teamwork

Sales

Problem-solving

Research

In short: whether managing people or data, companies need employees with problem-solving skills that enable them to integrate people and technology.

 

 

How Interpersonal Skills Combine with Technology

While AI and technology can do a lot, they can’t do everything. There are still business tasks that require human skills.

According to a February 2023 Forbes article, communication and collaboration skills that help employees identify opportunities, develop solutions, manage change, and respond to ethical implications will help professionals remain agile in this new world of work.

Ultimately, technology is still used by human beings and doesn’t operate completely autonomously. Intuition, relationships, and human decision-making are crucial.

“Humans aren’t rational; they don’t think like machines,” says Robertson. “The ability to empathize is important. Feelings influence the outcome, and if they’re ignored, the solution will suffer.”

“Learning new skills is important, but it never seems to be a priority,” he says. “A year from now, you’ll regret not prioritizing it.”

Susan Robertson

Invest in Developing Soft and Lasting Skills

 

Companies surveyed in the World Economic Forum (WEF) report indicated that investing in training is one of the most common strategies for organizations to achieve their business objectives.

Professional development is key to expanding existing expertise through retraining or skills upgrades.

Whether it’s a career change, a search for a new job, or a promotion in their current field, all professionals should focus on lifelong learning.

Beyond gaining experience in their sector, those aspiring to management positions should focus on developing leadership skills, expanding their emotional intelligence, communication, and critical thinking to improve decision-making and people management.

“A continuous learning mindset is fundamental. People with fixed mindsets will struggle,” says Robertson.

Lasting skills such as active listening, conflict resolution, collaboration, and creativity are essential for future success in any sector, regardless of educational level. Focusing on these skills can contribute to creating more productive work environments that foster positive relationships and shared values.

Finding the right leadership program will help you define your career goals and the skills you need to hone to achieve professional success. Harvard’s Executive and Professional Development program offers dozens of courses taught by exceptional instructors, designed to prepare you for the changes and challenges of the future workplace.

 

 

How Artificial Intelligence Is Transforming the Job Market: A Guide to Adaptation and Career Transformation

The following contribution comes from the Forbes website and is authored by Adrian Stelmach, a member of the Forbes Councils.

 

 

Artificial intelligence (AI) is one of the fastest-growing fields at the intersection of science and technology.

Its potential allows for both the automation of specific processes and the resolution of complex problems through data analysis.

The growing impact of this technology on the job market has generated a wide range of reactions.

Concerns center on potential mass layoffs due to automation or budget cuts, raising numerous questions about the future of employment. My aim is to explore whether AI represents a real threat to the job market or whether, on the contrary, it could serve as a catalyst for its complete transformation. I will analyze key aspects of how this technology affects employment and examine adaptation strategies that can benefit both workers and organizations facing these changes.

Understanding these dynamics in an era of ubiquitous artificial intelligence is crucial for effectively managing technological transformation.

 

 

From the Industrial Revolution to Artificial Intelligence: Technological Changes in the Labor Market

Throughout history, the labor market has always been influenced by technological advancements.

The first Industrial Revolution, marked by the invention of the steam engine, led to the creation of entirely new professions, while simultaneously reducing or eliminating some existing jobs. Similar patterns have emerged with subsequent innovations, and today, AI plays a comparable role.

As we enter the Fourth Industrial Revolution, AI has become a pillar of technological change. However, as in the past, every revolutionary technology generates unease.

In earlier times, people worried about the impact of inventions such as motorcycles, radios, and computers.

They feared the loss of jobs requiring physical effort, the decline in creativity due to less handwriting, and even the deterioration of health. Today, AI raises similar concerns, but its broader implications make these fears more intense than ever.

The Dual Impact of AI on the Job Market

The influence of AI on employment is undeniable, as with any other revolutionary technology of its time. However, these changes don’t necessarily imply a definitive reduction in jobs or exclusively negative consequences. The fundamental question is: Where will this technology have the greatest impact?

The effects of AI are most evident in positions involving repetitive tasks that require little creativity or dedication. At the same time, there is a growing demand for specialists who can operate and leverage the potential of AI. As some positions are affected by reductions, many new opportunities arise, resulting in a net increase in employment. Furthermore, as knowledge about AI grows, it allows for better adaptation and retraining of the workforce.

 

Role Changes

The implementation of AI often entails changes in employee roles within organizations.

Providing support in the form of training and mentorship is essential. Companies that invest in their employees’ development through continuous training significantly reduce the risk of technological exclusion, ensuring a smoother transition to digital transformation.

The primary goal of integrating AI into businesses is to automate and reduce repetitive and routine tasks. By increasing productivity and freeing up employee time, organizations can focus on more strategic and creative initiatives. This also improves daily operations by minimizing errors and increasing quality.

Capturing Opportunities Amid Technological Transformation

Despite its dual impact on employment, AI should primarily be viewed as an opportunity. It has the potential to transform economies by enabling the creation of added value at multiple levels. Embracing AI-driven change can foster innovation and efficiency within organizations, ultimately leading to increased productivity and competitiveness. For example, leveraging AI to generate higher profit margins can boost a company’s competitiveness and drive growth in global markets. These advancements can also contribute to higher GDP and create opportunities to reinvest profits in new innovations.

 

The key to success lies in a balanced approach. AI integration must go hand in hand with investments in education and skills development, along with regulations that ensure ethical and equitable implementation.

Mitigating the Risk of Technological Exclusion

One challenge posed by AI is the potential for technological exclusion, particularly among employees with low digital skills or those from older generations. This could exacerbate inequalities in the labor market by increasing the demand for highly skilled workers and marginalizing others.

Several mechanisms can help mitigate these risks:

1. Effective Communication

Transparent communication is essential for managing change. Employees must understand that technological advancements aim to optimize processes, improve productivity and work quality, not eliminate jobs. Organizations should address concerns in advance, explaining the reasons and objectives of the changes before implementing them.

2. Long-Term Strategy

AI adoption should not be considered a one-off project. Companies should assess the key areas of their operations that will benefit from automation and establish a multi-year strategy for its implementation.

3. Workforce Adaptation

Organizations should leverage their employees’ existing skills and provide them with access to relevant training programs, instruction, and courses. This allows them to adapt to new technological environments and, at the same time, strengthen their confidence in their roles.

Moving Forward with AI

Fears of mass layoffs caused by AI and its impact on employment are among the most debated topics in the context of technological progress. However, when carefully integrated, AI can lead to greater efficiency and the creation of added value. Starting with an analysis of the organization’s needs and opportunities, along with investments in employee training, will be crucial in defining the future of work in the age of AI.

Instead of viewing AI as a threat, it should be seen as an opportunity to drive innovation, increase efficiency, and enhance competitiveness in the digital age.

 

 

 

What are the main skills employers are looking for in the age of AI?

The following contribution comes from the University of Dallas website and was written by their team.

 

As artificial intelligence advances by leaps and bounds, it ushers in a new digital era. One in six workers says that at least part of their job involves AI, which raises a crucial question: Does artificial intelligence have the potential to replace human jobs? And how can future professionals protect their skills and careers in the face of the rise of machine learning?

AI technologies have expanded exponentially in sectors such as healthcare, transportation, and finance. However, instead of trying to keep up with the growing capabilities of artificial intelligence, professionals can boost their careers by developing fundamental interpersonal skills: virtues such as empathy, integrity, curiosity, and humility, which AI can never replicate.

 

 

Which jobs cannot be replaced by AI?

 

Some surveys indicate that a majority of American adults believe AI will eliminate jobs within the next twenty years; however, experts are not convinced by this outlook.

 

In an interview with McKinsey & Co., Svenja Gudell, chief economist at Indeed, explained that labor market data paints a very positive picture for AI in the workplace.

According to Indeed data, generative AI does not completely replace any job: “There isn’t a single job where generative AI excels in every aspect,” Gudell stated. While AI can accelerate the processes of specific tasks (some data suggests it saves users up to an hour per day), it still cannot match the adaptability of a human worker.

In LinkedIn’s most recent data on the fastest-growing skills in the US, interpersonal skills topped the list, just behind AI literacy. Deeply human skills such as conflict resolution, adaptability, and innovative thinking are the most in-demand in today’s job market. These interpersonal skills stand out for their enduring relevance. Investing in interpersonal skills in the workplace will remain important despite geographical shifts and different professional roles.

Investing in a people-centric work environment by developing interpersonal skills for business: The World Economic Forum’s Future of Jobs Report 2025 positioned analytical thinking as the most in-demand skill for future candidates.

 

The data speaks for itself: employers don’t want robots. They want people who can approach their work like human beings, with the insight and empathy that AI cannot replicate. The WEF report presents a set of people-centric skills that complement the fundamental need for analytical thinking:

Resilience

Flexibility

Agility

Leadership

Social influence

Standing out as a candidate is no longer just about acquiring new skills. While developing your technical skills can prepare you for specific roles, your character could be the deciding factor in landing the job. You can dedicate your energy to building a career, or you can invest in becoming the kind of person—a thinker, a problem solver, an empath—who will thrive no matter how the world changes.

How to Develop Soft Leadership Skills

One of the most valuable soft skills for any career is leadership. While AI will continue to develop its ability to perform work tasks, it lacks a fundamental attribute of a good leader: presence.

As a person, you can be physically present and empathetic to the needs of others. By strengthening your leadership skills, you acquire irreplaceable value in the workplace.

Take initiative. Step outside your comfort zone and take on challenging roles.

Practice humility. In an AI-dominated world, the ability to self-critique and remain humble will become increasingly difficult, but also more valuable.

Seek feedback. Ask others for honest opinions to increase your self-awareness and adaptability.

Learn from others. Observe the leaders you respect and notice how they communicate and make decisions.

 

 

The Human Barrier of Curiosity

Keep curious. AI has yet to accurately replicate human curiosity, one of the most valuable qualities for a professional career.

Business leadership will never be fully automated as long as professionals continue to cultivate the irreplaceable virtues of a good leader.

Information Education: Preparing for Jobs AI Can’t Replace

Generative AI can only operate within the limits of available data and training. Faced with uncertainty and unsolved problems, it relies on what it knows: vast amounts of data, past successes, and human preferences.

But to truly foster innovation in the workplace, we need to go beyond an algorithm—something only humans can do.

In an interview with Harvard’s Division of Continuing Education, creative thinking expert Anne Manning described this problem: “How do you generate solutions so broad that they truly have the potential for innovation?” Manning asked, “To go beyond what you already know, beyond what’s been said, you really have to dedicate time to opening your mind to a wide range of possibilities, even if some seem far-fetched.”

In the same interview, she emphasized the importance of complex problem-solving in the workplace. For modern employers, creative thinking ranks above AI, resilience, and even technical skills in every report published in the 2020s. Employers want to know that you can tackle any problem and develop creative solutions that advance humanity rather than undermine it.

Just as machines transformed and automated manual labor in their time, AI is mechanizing intellectual capital. This shift makes human skills like empathy, the ability to build relationships, and clear communication more essential than ever. While professionals often spend years studying to acquire intellectual knowledge, they neglect the social and emotional skills that distinguish us as human beings.

 

 

Leading companies are prioritizing skills-based hiring as AI transforms the workforce at a breakneck pace.

The following contribution comes from the Top Employers Institute, which defines itself as follows: We transform the world of work. We inspire and empower organizations worldwide to become Better Employers, using our certification and expertise as a solid and reliable foundation.

Author: Team

 

 

New research from the Top Employers Institute shows that companies that prioritize skills over qualifications achieve better results in retaining high-performing talent—a critical factor in maintaining competitiveness in an AI-driven economy.

The report, titled “Building a Skills-Based Workforce,” is based on Top Employers Institute data from 2,300 organizations across 26 sectors and 125 countries. It reveals how AI and automation are driving companies to move away from traditional methods of hiring and managing employees.

According to the Top Employers Institute, a skills-based approach, where employers focus on what potential and current employees can do in practice, rather than their theoretical credentials, has proven beneficial. The most profitable companies in the Top Employers Institute are 4% to 5% more likely to have adopted this approach.

 

Furthermore, employers who prioritize skills are 7% less likely to lose high-performing employees and are experiencing higher internal promotion rates and better access to diverse talent pools. Given that employee turnover costs between 30% and 200% of an employee’s salary, skills-based strategies are becoming a critical safeguard for profitability.

Companies are increasingly using integrated skills data to quickly reassign talent to priority projects

avoiding costly external hires and retaining high-performing employees by communicating future needs and through meaningful internal opportunities. The adoption of AI-powered talent platforms, which connect employees with internal roles and projects, is highest in advanced technology sectors such as IT (59% adoption), indicating a shift towards dynamic, skills-based workforce mobility. It is lowest in sectors such as retail (22%) and consumer goods and services (30%).

With 74% of employers globally struggling to find the talent they need (up from 36% in the last decade), these digital talent platforms are gaining traction among some of the world’s leading companies.

Companies pioneering skills-based recruitment are also reaping the rewards: Molson Coors UK, a leading beverage company, saw a 385% increase in applications for production roles, with 30% of the shortlisted candidates being women, in a traditionally male-dominated sector.

The report’s key findings show that organizations adopting a competency-based approach, from recruitment to employee management, are experiencing improvements in:

Retention: Organizations that share their future competency needs are 7% less likely to lose high-performing employees.

Productivity: Companies integrating competency data across all HR functions are increasing productivity by up to 15%.

Diversity: Competency-based hiring strengthens diversity in organizations by reducing barriers for underrepresented groups.

Internal mobility: Organizations that prioritize competencies see significantly higher internal promotion rates: those joining later are three percentage points lower than the average.

Adaptability: 84% of leading organizations already use competency data to communicate with their employees about future changes in their skills needs, enabling them to upgrade skills and reallocate talent accordingly as AI transforms the world of work.

Adrian Seligman, a member of the Top Employers Institute Executive Council, commented: “AI and automation are redefining the skills organizations need faster than traditional hiring models can adapt. Employers who adopt competency-centric practices are not only future-proofing their workforce, but are also seeing rapid returns in employee engagement and retention, as well as business performance.” This is becoming a fundamental strategy for success in an AI-driven economy.

The report offers recommendations on how business leaders can leverage the benefits of skills-centric strategies, including:

Conducting a hiring audit to reduce reliance on academic qualifications.

Creating a comprehensive skills inventory with data integrated across all HR processes.

Sharing clear information about future skills needs with employees and developing scalable reskilling programs that enable rapid talent redeployment as AI transforms work.

Companies that thrive in the AI ​​economy will be those that adopt a skills-centric model that drives productivity, profitability, diversity, retention, and engagement.

About the research: The Top Employers Institute commissioned research conducted across 2,300 organizations in 125 countries and 26 sectors. The study explored participants’ approaches to competency-based recruitment, transparency regarding future skills needs, and integrated skills management. Data was collected through the Top Employers Institute’s 2025 HR Best Practices Survey, with additional analysis of data from the 2024 survey, covering 2,200 organizations.

About the Top Employers Institute:

The Top Employers Institute is the global authority in recognizing excellence in people management practices. We help drive these practices to enrich the world of work. Through the Top Employers Program, participating companies can become certified and recognized as leading employers. Certification is awarded to organizations based on their participation and the results of the HR Best Practices Survey, which covers six HR areas with 20 topics, including people strategy, work environment, talent acquisition, training, diversity and inclusion, and well-being.

In 2025, the Top Employers Institute certified more than 2,400 organizations in 125 countries and regions. These certified employers have a positive impact on the lives of more than 13 million employees worldwide.

Top Employers Institute. For a better world of work.

 

 

 

The Workplace Revolution: Adapting to an AI-Driven, Skills-Prioritized Future

The following contribution comes from the Charter Global website, which describes itself as follows: Charter Global, Inc., headquartered in Atlanta, is a strategic technology services partner. We manage our projects locally and execute them globally. Our teams of experts transform technology vision into business results. Charter Global is distinguished by providing dynamic and effective business solutions to mid-sized and large clients, including Fortune 100-500 companies. Our fundamental commitment is to collaborate closely with stakeholders to ensure that solutions meet client needs on time and within budget.

Author: Charter Global

 

 

The workplace, as we know it, is undergoing a more profound transformation than the widespread adoption of computers or the rise of the internet.

Today, jobs are being redefined, not eliminated.

Skills once considered specialized are now essential.

And for the first time in modern history, five generations are working side-by-side, each with different expectations, values, and ways of working.

Three forces are driving this radical change:

The rise of generative AI and automation,

A global shift toward skills-based hiring, and

The evolving expectations of employees regarding flexibility, purpose, and growth.

These aren’t distant trends; they’re unfolding now. According to LinkedIn’s 2024 Workplace Change Report, the pace of change in the workplace has never been faster, and the organizations that adapt will define the future of work.

In this blog, we’ll explore the key trends transforming employment and talent today, their implications for both employers and employees, and the practical steps companies can take to stay ahead. Whether you’re a business leader, an HR professional, or simply curious about what the future holds, this is your guide to navigating the workplace revolution.

 

 

AI Isn’t Taking Jobs, It’s Transforming Them

 

Forget the old headline: «Robots are coming to take your job.» That narrative is outdated.

 

Today, the reality is this: AI is changing the way we work, at every level. From automating repetitive tasks to improving complex decision-making, artificial intelligence is rapidly becoming a digital copilot across all sectors. But rather than replacing workers entirely, it’s transforming the roles, workflows, and skills needed to succeed.

According to LinkedIn’s 2024 Job Change Report, the proportion of job postings that mention AI has nearly doubled in just two years. Marketing, software development, finance, healthcare, and HR professionals are increasingly expected to understand and engage with AI tools, whether using generative AI to write reports, analyzing data with predictive algorithms, or streamlining customer service with chatbots.

 

Far from making people obsolete, AI is redefining value.

Rule-based, repetitive, or data-intensive tasks are being delegated to machines. This allows employees to focus on uniquely human strengths: creativity, empathy, strategic thinking, and problem-solving.

Take the role of a customer service agent, for example. With the help of AI-powered knowledge bases and virtual assistants, agents can resolve inquiries faster and focus on more complex conversations that require emotional intelligence. In finance, analysts are now using AI to examine large datasets, enabling them to offer more timely and strategic advice.

 

But here’s the catch: this transformation demands new skills.

 

Workers need digital fluency, adaptability, and an open mindset for continuous learning. Organizations, in turn, must provide training, tools, and a culture that empowers employees to work with AI, not against it.

In the AI-driven workplace, success will not be defined by the amount of knowledge, but by how quickly you learn, adapt, and collaborate—with both people and machines.

Skills over degrees: The rise of a skills-driven economy

A decade ago, a university degree used to be the key to landing a job. Today? Skills are the new currency in the job market.

Across all sectors and roles, employers are shifting their focus from formal credentials to demonstrated skills. LinkedIn’s 2024 Workforce Change Report indicates that the number of job postings that don’t require a bachelor’s degree has grown significantly, especially in the technology, operations, and customer service sectors. Instead of asking where you studied, recruiters are now asking what you can do.

This shift toward skills-based hiring is more than a talent strategy: it’s a business imperative.

 

The rapid pace of technological change means that many of the skills required today didn’t exist five years ago.

Consider agile engineering, AI model evaluation, cloud automation, or even TikTok marketing.

Companies can no longer afford to rely solely on traditional qualifications to fill today’s roles.

Instead, they are seeking capabilities such as:

Digital literacy

Data analysis and visualization

Creative problem-solving

Communication and collaboration

Adaptability and learning agility

This trend is also driving the rise of alternative certifications: micro-certifications, intensive courses, and on-the-job training that demonstrate a candidate’s readiness. Platforms like LinkedIn Learning, Coursera, and in-house corporate academies are helping professionals acquire practical, job-relevant skills faster than ever before.

From an equity perspective, this shift is revolutionary. It opens doors to talent from non-traditional backgrounds, lowers barriers for career changers, and expands the pool of qualified candidates across all regions and socioeconomic groups.

But for a skills-based model to work, organizations need to:

Clearly assign skills to roles,

Create fair and consistent methods for assessing them, and

Invest in ongoing training and skills development.

In the economy of the future, those who will succeed will not be those with the most extensive resumes, but those with the most relevant and dynamic skills.

Since 2022, the rate of LinkedIn users adding new skills to their profiles has increased by 140%. – LinkedIn

Internal Mobility: The New Growth Path for Talent

What if the ideal person for your next open position is already on the payroll?

That’s the idea behind internal mobility: the practice of moving current employees to new roles, functions, or projects within an organization. And today, it’s becoming one of the most powerful tools for talent retention and development.

According to LinkedIn’s Workplace Change Report, employees who make internal moves are 75% more likely to stay with their company after two years.

 

This is a revealing statistic in a world where employee turnover is costly and damaging.

But internal mobility isn’t limited to promotions. It includes:

Lateral moves to explore different areas,

Challenging assignments to develop new skills,

Cross-departmental projects that foster innovation, and

Temporary rotations to fill skills gaps.

Why is it gaining so much importance now?

Because the skills landscape is evolving too rapidly to rely solely on external recruitment.

Instead of constantly searching for exceptional candidates, companies are realizing they can develop the capabilities they need by investing in their current talent. Furthermore, internal candidates already know the company’s culture, processes, and values, making transitions easier and faster.

 

For employees, internal mobility represents an opportunity. It means: «You don’t have to leave to grow.» This is crucial in today’s work environment, where growth, purpose, and flexibility are key priorities, especially for younger generations. Therefore, to boost internal mobility on a large scale, companies are:

Creating skills inventories for their workforce,

Using AI-powered talent platforms to connect people with the right roles,

Incentivizing managers to promote internal mobility, and

Integrating learning and development into daily workflows.

Ultimately, fostering internal mobility not only improves morale but also provides a strategic advantage. It creates a more agile, engaged, and future-proof workforce, ready to evolve as business needs change.

LinkedIn Learning saw a 169% increase in non-technical professionals taking AI courses last year. – LinkedIn

 

 

Generational and demographic shifts redefining workplace culture

For the first time in history, five generations share the same workspace. From baby boomers to Generation Z, each group brings its own values, communication styles, and expectations. These differences are transforming the concept of work: its structure, its importance, and its role in development.

At the same time, global demographic shifts—such as aging populations in some regions and an increase in young workers in others—are creating an uneven talent dynamic.

Some countries face a severe talent shortage, while others struggle to create enough opportunities for a growing workforce.

Amid this complexity, one message is clear: the modern workforce expects more than a paycheck.

Here’s what’s becoming increasingly important:

Flexibility is now a basic requirement, not an added perk.

Remote and hybrid work options are often deal-breakers, not perks.

Purposeful work is key. Employees want to feel that their role contributes to something bigger than just the bottom line.

 

Continuous learning is expected.

Generation Z, in particular, considers professional development an indispensable part of any job.

Mental health and well-being are key issues in the workplace.

Benefits that promote well-being, free time, and psychological safety are becoming essential.

And these expectations aren’t limited to younger generations. Workers of all ages are reassessing what they look for in a job, especially after the pandemic redefined the relationship between personal and professional life.

 

To respond to this situation, organizations are rethinking:

How they design roles and teams

How leaders communicate with and support their employees

What kind of benefits, recognition, and career paths they offer

How they build inclusive and multigenerational cultures that foster a sense of belonging

The companies that thrive in this environment will be those that listen to their employees, adapt quickly, and create a culture where every generation sees a promising future.

How Organizations Can Adapt: ​​5 Strategic Changes to Implement Now

To remain competitive, companies must do more than acknowledge the transformation. They must act.

Here are five strategic changes organizations can implement today to future-proof their workforce and thrive in a world where skills are paramount and AI is key.

1. Skills-Based Hiring

Move beyond traditional resumes and academic qualifications. Instead, focus on assessing actual capabilities.

What to do:

Redesign job descriptions to highlight required skills rather than credentials.

Use skills assessments, portfolios, and hands-on simulations throughout the hiring process.

Access non-traditional talent pools: career changers, graduates of intensive programs, and independent specialists.

Why it matters:

Skills-based hiring not only expands your candidate pool but also reduces bias and creates more equitable access to opportunities. 2. Foster a Learning Culture

Continuous training is no longer optional, but essential. With the rapid evolution of technology, the obsolescence of skills diminishes dramatically.

What to do: Encourage continuous learning through microcourses, certifications, and peer learning.

Integrate learning platforms into daily workflows.

Recognize and reward skills development as part of performance reviews.

Why it matters: A learning culture fosters resilience. It ensures your team can adapt as roles evolve and helps retain key talent seeking growth.

3. Boost Internal Career Mobility

Give your employees reasons to grow within the company, not to leave.

What to do:

Develop clear cross-departmental career paths.

Use AI-powered tools to connect internal talent with new roles or projects.

Empower managers to support mobility, not to hoard talent.

Why it matters: Internal mobility improves retention, fills positions faster, and ensures that institutional knowledge remains within the organization.

 

4. Rethink Leadership and Culture

In a world where workers expect flexibility, autonomy, and purpose, traditional leadership models need an update.

 

What to do: Empower leaders to manage hybrid teams effectively and empathetically.

Promote psychological safety, open feedback channels, and inclusive practices.

Encourage leadership at all levels, not just from top management.

Why it matters: Culture is a key differentiator. It affects everything from innovation to retention and employer branding.

 

5. Embrace AI with Purpose

AI is not just a tool; it’s a catalyst for transformation. But its successful adoption requires a well-thought-out implementation and a people-centric approach.

What to do:

Identify tasks that can be improved or automated with AI (e.g., data entry, scheduling, report generation).

Engage employees in defining AI use cases and provide training to increase their digital confidence.

Ensure transparency and the ethical use of AI tools.

Why it matters:

AI increases productivity, but only when combined with the right human skills and mindset. Organizations that prepare their staff to work with AI will be leaders.

Adapting to these changes requires intention, investment, and ongoing effort. But the reward is clear: a more agile, inclusive, and future-ready workforce that drives long-term growth. By 2030, 70% of the skills used in most jobs will change, and AI is emerging as a catalyst. – LinkedIn

Conclusion: Preparing your team for the future starts now. The workplace is evolving at an exceptional pace. AI is transforming tasks, not eliminating jobs. Skills, not degrees, are becoming the new hiring standard. Employees are seeking flexibility, purpose, and growth more than ever. And internal talent mobility is proving to be just as crucial as external recruitment.

These aren’t isolated trends, but rather signs of a fundamental shift in how people work and what they value at work.

 

To thrive in this new world, organizations must act with urgency and determination. This means rethinking how talent is recruited, developed, and retained. It means investing in learning, fostering flexibility, and integrating technology with a people-centric mindset. The companies that succeed will be those that recognize change not as disruption, but as an opportunity to reinvent themselves.

Ready to evolve with the future of work?

At Charter Global, we help organizations build future-ready teams through strategic people management, agile delivery models, and our expertise in digital transformation. Whether you’re adopting AI, developing internal capabilities, or looking to redesign your talent strategy for the skills age, our People Solutions can help you move forward smarter and faster.

 

 

 

How will artificial intelligence change the world?

The following contribution comes from the “Nexford University” website and is written by Mark Talmage-Rostron.

 

 

If you didn’t know how artificial intelligence will affect employment between 2025 and 2030, you’d be living under a rock. AI, like ChatGPT, seems to be dominating the headlines lately; Google unveiled new AI software for creating presentations, analyzing and inputting data, and writing content; and there are many other AI tools like Gamma and Numerous AI.

Those who resist, instead of riding the wave, will miss out on the opportunity to land in-demand jobs in the next six years and benefit from job growth. AI will eliminate some jobs, but it will also create new ones!

These are the jobs most likely to be affected by artificial intelligence between 2025 and 2030:

How will artificial intelligence change the world?

Will AI help or harm the world? As with any controversial topic, there will always be supporters and opponents. Artificial Intelligence is no exception. In fact, as new AI tools are introduced and information about them increases, the divide between the two sides will only widen.

Many market research analysts claim that AI has the potential to generate numerous positive changes in society, such as increased productivity, improved healthcare, and greater access to education. But we need to adapt immediately.

Others, primarily those working in manual and repetitive jobs, will argue that AI and robotics are a disruptive force and that, as far as the future of employment is concerned, they are simply destined to eliminate jobs.

 

 

However, robots and AI technologies can create—and indeed will créate

—a host of new professions, help solve complex problems, and make our daily lives easier and more comfortable.

There is no definitive conclusion yet, but the trend suggests that AI will be a positive force.

How will AI affect employment and the economy?

According to the McKinsey Global Institute, with the average global level of AI adoption, absorption, and advancements implied by its simulation, this technology has the profound impact of generating approximately $13 trillion in additional global economic activity in the foreseeable future and, by 2030, a cumulative GDP 16% higher than current levels.

This equates to an additional GDP growth of 1.2% annually. If realized, this impact would be comparable to that of other general-purpose technologies throughout history. This growth will stem primarily from the replacement of labor by automation and increased innovation in products and services.

The same report indicates that, by 2030, the average simulation shows that around 70% of companies will have embraced the AI ​​revolution and implemented at least one type of AI technology, but less than half will have fully assimilated all five categories.

Forbes states that AI has the potential to be one of the most disruptive technologies for global economies that we will ever develop.

 

How will artificial intelligence affect society and the future?

Forbes asserts that the future of AI offers endless possibilities and applications that will greatly simplify our lives. It will contribute to positively shaping the future and destiny of humanity, while Bernard Marr & Co. points out that the transformative impact of artificial intelligence on our society will have profound economic, legal, political, and regulatory implications across all types of jobs and industries, which we must discuss and prepare for.

Other experts indicate that AI has the potential to generate numerous positive changes in society, both now and in the future, including increased productivity, improved healthcare, and greater access to education.

AI-powered technologies can also help solve complex problems and make our daily lives easier and more convenient.

Will AI Replace Human Jobs and Careers?

How will AI affect employment? How many jobs will AI replace by 2030?

Artificial intelligence (AI) could replace the equivalent of 300 million full-time jobs, according to a report by investment bank Goldman Sachs. It could replace a quarter of all work tasks in the US and Europe, but it could also create new jobs and boost productivity.

Furthermore, it could increase the total annual value of goods and services produced globally by 7%.

The report also predicts that two-thirds of jobs in the US and Europe “are exposed to some degree of AI automation,” and that around a quarter of all jobs could be performed entirely by AI.

Researchers from the University of Pennsylvania and OpenAI found that some highly skilled white-collar workers, earning up to $80,000 annually, are the most likely to be affected by job automation.

Forbes also states that, according to a report by MIT and Boston University, AI will replace up to two million manufacturing workers by 2025.

A study by the McKinsey Global Institute indicates that, by 2030, at least 14% of employees worldwide may need to change careers due to digitalization, robotics, and advances in AI.

Which jobs are most likely to be automated?

1. Customer Service Representative

Most customer service interactions are no longer conducted over the phone with employees answering the lines. Generally, customer inquiries and problems are repetitive.

Answering these inquiries does not require high emotional or social intelligence. Therefore, AI can be used to provide automated answers to frequently asked questions.

2. Receptionists

Most companies worldwide already use robots at their reception desks. Even calls are handled by AI. For example, AimeReception can see, hear, understand, and speak with customers and visitors.

3. Accountants/Bookkeepers

Many companies are using automation and AI in their accounting practices. AI-powered accounting services offer an efficient, flexible, and secure accounting system, available as cloud services. Through AI algorithms, this technology ensures the accurate collection, storage, and analysis of data. Using an AI-powered accounting service is significantly less expensive than paying an employee to perform the same work.

4. Salespeople

Gone are the days when companies needed salespeople for advertising and retail activities. Advertising has moved to the web and social media. Market segmentation capabilities built into social media allow advertisers to create personalized content for different audiences.

5. Research and Analysis

Data analysis and research fields are areas that are already implementing the use of artificial intelligence to optimize processes and identify new data without human intervention. The processing power of modern computers allows for the efficient classification, extrapolation, and analysis of data. As artificial intelligence continues to improve, it may no longer be necessary for humans to participate in data analysis and research.

6. Warehouse Work

Online sales is a constantly growing industry, leading to an increasing need for automated processes and systems that allow orders to be loaded onto trucks for efficient delivery. One of the key areas for optimizing this process has been automation.

Basic automation and the implementation of artificial intelligence in a warehouse allow easy access to computerized systems for locating packages and directing staff. In the future, AI could even perform mechanized retrieval and loading to increase shipping capacity.

7. Insurance Underwriting

When assessing the viability of insurance applicants, the most important task is often analyzing available data and applying it using predefined formulas or structures.

Automation can easily complete these tasks and is continuously adapting to perform more complex functions, which can reduce the number of underwriters a company needs.

8. Retail

Self-checkout kiosks in stores are an example of automation in the retail sector and have become very important in supermarkets and hypermarkets. A company’s use of self-checkout kiosks is based on a cost-benefit analysis.

 

While allowing customers to scan their own items may increase the risk of theft, the company saves money by reducing the need for cashiers. How to Change Careers Quickly

Experts say that AI and machine learning will benefit workers by creating more jobs than they replace. That said, to capitalize on this trend and forge a new career, it’s essential to have the skills needed to do the job.

 

If you already know about AI and are looking to change careers to a role focused on it, demonstrating your knowledge and experience in AI development can give you an edge.

We invite you to read our article on the 10 highest-paying AI jobs here. To acquire the skills that set you apart from other candidates, you should: hone your technical skills, complete online courses, understand the industry, gain work experience, and develop your interpersonal skills.

AI will require extensive research and collaboration, as it is still an emerging field. Interpersonal skills will help you differentiate yourself from other developers who only possess technical skills.

Jobs and Careers That Will Be Replaced by AI

What Jobs Won’t Be Replaced by AI?

It is often said that AI will create more jobs than it replaces. Furthermore, many in certain industries will breathe a sigh of relief knowing that AI will not threaten their vocation or their livelihood.

 

These are some of the jobs that do not involve repetitive tasks and are not prone to disruption. This means that AI will not replace those who perform them in the open labor market.

 

1. Teachers

Teachers are often role models for many of us. Our academic decisions are often based in part on the inspiration a particular teacher has provided us in previous years. For all these reasons, it is almost impossible that we will have a completely digital teaching experience in the future.

2. Lawyers and Judges

These positions have a strong component of negotiation, strategy, and case analysis. Much of their work is based on the experience and personal knowledge of each specialist. A specific set of skills is required to navigate complex legal systems and defend a client in court. There is a human factor at play when considering all aspects of a trial and making a final decision that, in the case of a judge, could carry a prison sentence of years.

3. Directors, Managers, and CEOs

Managing teams within an organization is a matter of leadership, and this is not simply a set of behaviors that can be codified and processed linearly.

A CEO is also responsible for communicating the company’s mission and values ​​to their team. Investors are unlikely to feel comfortable investing in a company managed by robots or algorithms.

4. Human Resources Managers

While AI facilitates the hiring process, streamlining and simplifying resume review, Human Resources Managers still perform a variety of crucial tasks within the organization.

Hiring new professionals is just one of their functions. They also play a key role in maintaining employee motivation, detecting early signs of dissatisfaction, and, if possible, addressing them.

5. Psychologists and Psychiatrists

Although facial recognition technology is currently widely used to develop initial AI-powered counseling and support services, given the growing demand, mental health remains a very sensitive issue. Human interaction is essential to supporting individuals in achieving success in all aspects of their lives.

6. Surgeons

Technology has undoubtedly increased the accuracy with which we can now diagnose and detect diseases in any medical report. Microrobotics also improves surgeons’ precision during operations, enabling less invasive procedures.

But being a surgeon requires the ability to connect with the patient on many other levels, simultaneously considering a multitude of factors. Experience, knowledge, and skills acquired over the years must be condensed into a matter of minutes during an operation.

7. Computer Systems Analysts

However automated we become, human presence will always be necessary to perform maintenance, updates, improvements, corrections, and configuration of complex software and hardware systems that often require the coordination of several specialists to function correctly. Reviewing system capabilities, controlling workflow, scheduling improvements, and increasing automation are just some of the functions of a computer systems analyst, a profession that has seen high demand in recent years.

8. Artists and Writers

Writing, in particular, is such an imaginative and complex art, and arranging words precisely is undoubtedly a great challenge.

Therefore, even if AI were technically capable of assimilating the content of most of the world’s books, likely in any language, and developing its own communication style, the magic and excitement of creating art with words will remain within our scope for years to come.

 

 

How many jobs will be lost to AI by 2025?

The World Economic Forum estimates that artificial intelligence will replace approximately 85 million jobs by 2025. Freethink states that 65% of retail jobs could be automated by that year, primarily due to technological advancements, rising costs and wages, labor shortages, and declining consumer spending.

How many jobs will be lost to AI by 2030?

PwC estimates that by the mid-2030s, up to 30% of jobs could be automated, and that in the long term, men will be slightly more affected, as autonomous vehicles and other machines replace many manual tasks where their labor force participation is higher.

During the first and second waves, they estimate that women could be at greater risk of automation due to their greater representation in administrative and office roles.

How to adopt AIHow to Embrace AI and Acquire Skills to Leverage This New Technology

You might be wondering how you can start familiarizing yourself with AI at work to boost your career. LinkedIn says the good news is that you probably already have experience with AI, even if you don’t realize it.

For example, asking questions to voice assistants like Alexa and Siri uses AI. Many of the apps on your phone also use it. Generative AI, which has been on everyone’s lips lately, is really the next step for this technology.

The company added that, to stay ahead in the age of artificial intelligence, it’s essential to develop new skills and adapt to a constantly changing job market. Here are some strategies to help you do just that:

1. Encourage Continuous Learning

In the age of AI, it’s important to constantly learn and adapt to new technologies and ways of working. This means taking courses, attending workshops and conferences, and staying up-to-date with the latest industry trends.

 

2. Develop interpersonal skills

While AI excels at routine tasks, it’s still far from replicating human emotional intelligence and creativity. Developing interpersonal skills such as communication, problem-solving, and collaboration will be crucial in the AI ​​era.

 

3. Be flexible

In the AI ​​era, the ability to adapt quickly to changing circumstances will be key. This means being willing to learn new skills, take on new responsibilities, and explore new career paths.

 

4. Specialize

As AI becomes more ubiquitous, the demand for workers with specialized skills and knowledge will increase. By developing expertise in a specific area, you can increase your value to employers and differentiate yourself in the job market.

 

Learn at a cutting-edge university that embraces change

If there’s one key word for the transition from today’s job market to the new AI-influenced work landscape, it’s «agility.» The other is «skills,» and in particular, skills development.

 

In addition to on-the-job learning, which can be time-consuming and demanding, many career changers or those starting a new one are turning to cutting-edge online universities that can quickly adapt and offer programs on a timely basis to capitalize on the surge in AI-related jobs. Pursuing this degree means students will learn and develop skills based on the latest employer needs and market trends. This is the job-alignment model that the university, with its 100% online format, uses to equip students. This model is designed to provide students with the necessary skills and knowledge that employers are looking for.

Conclusion: Skeptics seem to have concluded that AI will eliminate millions of jobs and leave many people unemployed, while those who are enthusiastic about it and willing to embrace change argue that AI has the potential to create more new jobs than it replaces.

That said, it seems that resistance is futile and that we must accept that artificial intelligence is becoming part of our daily lives. All jobs should integrate AI, considering the efficient and cost-effective solutions it offers.

It allows people to focus on more creative goals by automating decision-making processes and tedious tasks. Artificial intelligence promises to drive business growth, automate manufacturing processes, and provide valuable insights.

AI is increasingly used in various sectors, such as logistics, manufacturing, and cybersecurity. Small businesses have also made rapid progress in creating voice recognition software for mobile devices.

To stay ahead in the age of artificial intelligence, it is essential to embrace continuous learning, develop interpersonal skills, be flexible, and specialize in a specific area. By developing these skills and adapting to a constantly changing job market, workers can thrive in the AI ​​era and take advantage of the opportunities it offers.

 

This information has been prepared by OUR EDITORIAL STAFF