Edumorfosis.Work

This report, developed in collaboration with the Global Finance &
Technology Network (GFTN), captures the perspectives of over 100 employers, collectively representing over 4 million workers across 18 industry clusters and 29 countries and territories. It provides a timely look into how AI is reshaping the workplace, how employers are responding, and what they expect from higher education to build an AI-ready workforce.

Meanwhile, Higher Education—a cornerstone of workforce
preparation—is falling behind. Only 3% of employers believe Higher Education institutions are adequately preparing graduates for an AI-driven workforce. Higher Education must urgently rethink its role, relevance, and curricula. This is a defining moment—one that calls for institutions to confront hard truths about their role in the evolving economy and take immediate action to close the widening gap between education and employment.

Preparing for the future of work demands shared responsibility.
Institutions, employers, and governments must act in collaboration, while individuals must take ownership of their growth—recognizing lifelong learning as a non-negotiable in an era of constant change.

We study whether generative artificial intelligence (AI) constitutes a form of seniority-biased technological change, disproportionately affecting junior relative to senior workers. Using U.S. résumé and job posting data covering nearly 62 million workers in 285,000 firms (2015-2025), we track within-firm employment dynamics by seniority. We identify AI adoption through a text-analysis approach that flags postings for dedicated "AI integrator" roles, signaling active implementation of generative AI. Difference-in-differences and triple-difference estimates show that, beginning in 2023Q1, junior employment in adopting firms declined sharply relative to non-adopters, while senior employment continued to rise. The junior decline is driven primarily by slower hiring rather than increased separations, with the largest effects in wholesale and retail trade. Heterogeneity by education reveals a U-shaped pattern: mid-tier graduates see the largest declines, while elite and low-tier graduates are less affected. Overall, the results provide early evidence of a seniority-biased impact of AI adoption and its mechanisms.

Agentic AI technologies are poised for significant transformation and growth, driven by advancements in AI capabilities, increasing demand for automation and the need for enhanced decision-making processes across various industries. As agentic AI matures, you can expect:

• Increased agency and autonomy
• Integration into business processes
• Challenges in adoption
• Collaboration and governance
• Market dynamics and competition

La 5ta Revolución Industrial se caracteriza por ser cognitiva, acelerada, transversal, cooperativa y disruptiva. No se trata solo de automatizar procesos, sino de redefinir la relación entre lo humano y lo artificial en la producción de conocimiento, cultura y valor económico. Esto obliga a empresas, gobiernos, escuelas y a cada persona a tener que adaptarse prácticamente en tiempo real a tecnologías que evolucionan más velozmente que el orden jurídico y los sistemas educativos. Hablar de “revolución” ya no es una metáfora, sino la descripción literal de un cambio radical, vertiginoso y estructural impulsado por inteligencias artificiales que aprenden y crean a diario.

1. The latest employment snapshot from the Bureau of Labor Statistics paints a bleak picture of the current state of the economy under President Donald Trump.
2. Labor market deterioration: Just 22,000 jobs were added in August, dramatically lower than economists’ expectations for 76,500 new roles.
3. Negative job growth: For the first time in nearly four years, the economy lost jobs, with a decline of 13,000 positions in June.
4. Rising unemployment: The jobless rate rose to 4.3%, the highest level since 2021.
5. Stagnation: The data underscores the extent to which consumers and businesses are struggling to accommodate the weight of tariffs, stubborn inflation, the decline in America’s crucial immigrant workforce and overall economic uncertainty.

Apple CEO Tim Cook, during a recent staff gathering at Apple’s Cupertino headquarters, is said to have stressed that those who don’t embrace AI risk being left behind, Bloomberg reported. His comments reflect Apple’s growing focus on artificial intelligence and highlight how critical the technology is becoming—not just for the company’s strategy, but for the broader future of work.

For students preparing to enter the job market, educators shaping tomorrow’s workforce, and professionals navigating disruption, Cook’s words read less like a prediction and more like a survival guide. The age of AI is here, and adapting to it has become a career necessity.

Americans are deeply concerned over the prospect that advances in artificial intelligence could put swaths of the country out of work permanently, according to a new Reuters/Ipsos poll.
The six-day poll, which concluded on Monday, showed 71% of respondents said they were concerned that AI will be "putting too many people out of work permanently."

ChatGPT, and other coding tools, are being blamed for a collapse in tech job openings, particularly for younger software developers and engineers.

A report by the UK's National Foundation for Education Research showed a 50% decline in tech job adverts between 2019/20 and 2024/25, with entry level roles particularly affected.

The report cited the "anticipated impact of artificial intelligence" as one of the factors behind this.

At the same time, software developers have widely adopted AI code tools, while simultaneously expressing distrust in their output.

The July jobs report showed a sharp deceleration in payroll growth with an average of just 35,000 jobs per month from May through July—well below previous years’ robust gains. The unemployment rate rose to 4.2%, marking a meaningful shift from stronger prepandemic conditions; unemployment averaged 3.7% in 2019.

While economists debate various causes for the labor market softening, one potential factor deserves closer scrutiny: the rapid adoption of artificial intelligence (AI) tools in the workplace. Could widespread deployment of large language models (LLMs) like ChatGPT, Claude and others be contributing to rising unemployment?

Artificial Intelligence is indeed creating a tighter labor market for early-career jobseekers, according to new research from three Stanford University economists.

Since generative AI has become widely used, the working paper found, young workers (22–25 years) in the most AI-exposed occupations, such as software developers and customer service reps, have experienced a 13% relative decline in employment. In contrast, jobs as health aides have been growing faster for young workers than for older ones.

Likewise, declines in entry-level jobs are concentrated in occupations where AI is more likely to automate human labor rather than augment it.

As anybody who has ever taken a standardized test will know, racing to answer an expansive essay question in 20 minutes or less takes serious brain power. Having unfettered access to artificial intelligence (ai) would certainly lighten the mental load. But as a recent study by researchers at the Massachusetts Institute of Technology (MIT) suggests, that help may come at a cost.

The tech industry hasn’t always gotten AI right, but it has learned lessons the rest of the business world would do well to adopt.

For companies navigating the disruption of artificial intelligence, experts say the way tech firms approach innovation, risk, and organizational change holds key insights.

Rapid technological advancements and evolving workforce dynamics are set to redefine how organizations operate. Are you ready to navigate these transformative trends and seize new opportunities?

The future of work trends in 2025 will redefine how organizations operate amid rapid technological advancements and shifting workforce dynamics. This year’s trends emphasize the integration of AI, the importance of employee well-being, and the need for diversity and inclusion. 

By embracing these trends, organizations have the opportunity to enhance productivity, foster innovation and build resilient, inclusive cultures that thrive in a competitive global landscape.

A four-year Australian study has shed new light on one of the biggest workplace shifts of our time: working from home. Starting before the pandemic and continuing through the years that followed, researchers from the University of South Australia tracked how teleworking impacts employees’ daily lives. Their findings are clear: when it’s a choice rather than an obligation, remote work significantly boosts happiness, health, and overall well-being.

The AI revolution is already changing how we work. From coding to customer service, sales to creative jobs, experts warn that AI is disrupting nearly every white-collar field.

This paper examines changes in the labor market for occupations exposed to generative artificial intelligence using high-frequency administrative data from the largest payroll software provider in the United States. We present six facts that characterize these shifts. We find that since the widespread adoption of generative AI, early-career workers (ages 22-25) in the most AI-exposed occupations have experienced a 13 percent relative decline in employment even after controlling for firm-level shocks. In contrast, employment for workers in less exposed fields and more experienced workers in the same occupations has remained stable or continued to grow. We also find that adjustments occur primarily through employment rather than compensation. Furthermore, employment declines are concentrated in occupations where AI is more likely to automate, rather than augment, human labor. Our results are robust to alternative explanations, such as excluding technology-related firms and excluding occupations amenable to remote work. These six facts provide early, large-scale evidence consistent with the hypothesis that the AI revolution is beginning to have a significant and disproportionate impact on entry-level workers in the American labor market.

When clients of the cloud-based-software provider ServiceNow contact the company's customer support center, 80% of the cases — in the form of calls and chat messages — are handled without any human intervention.

Instead, the company relies on analytical and generative artificial intelligence — in the form of AI agents — to address common customer questions.

Chris Bedi, ServiceNow's chief customer officer and enterprise-AI advisor, said employees still handle one out of every five customer-support requests.

This first report examines trends in the number and nature of online job adverts for tech roles in the UK since 2016. It looks at trends in the volume of job adverts by occupation, and changes in skills and qualification requirements within job adverts.

It finds that the number of ‘core tech’ UK job adverts (e.g. adverts for roles like software developers, IT managers and technicians) has declined sharply since early 2022, particularly for software developers and programmers. Skills requirements are also changing, and qualification mentions are becoming more prevalent.

This report sets the scene for future reports, expected in the summer. The first of these will look at the causes and consequences of the decline in UK tech hiring and where tech hiring managers expect the growth opportunities to be in the future.

The second will look at educational trajectories into the tech workforce and how employment outcomes differ depending on people’s gender, ethnicity and socio-economic background.

Generative AI (GenAI) is set to reshape the workforce, redefining career pathways and talent development. However, despite public anxieties about mass displacement, GenAI’s biggest impacts won’t be on the number of jobs so much as on the level of expertise required to do them. 

For any given role, much depends on the learning curve between entry-level and experienced workers, which determines how knowledge and skills—and the productivity they unlock—accrue over time. AI could create new fast tracks to career entry in some jobs—those that demand mastery of a substantial body of knowledge upfront but which offer fewer opportunities for performance improvement thereafter. In many other fields where expertise grows with tenure, entry-level work may be supplanted by AI with significant consequences for how firms find and develop talent, for how workers get a foothold on the career ladder, and for how organizations are configured. 

This paper examines changes in the labor market for occupations exposed to GenAI using high-frequency administrative data from the largest payroll software provider in the United States. We present six facts that characterize these shifts. We find that since the widespread adoption of GenAI, early-career workers (ages 22-25) in the most AI-exposed occupations have experienced a 13% relative decline in employment even after controlling for firm-level shocks. In contrast, employment for workers in less exposed fields and more experienced workers in the same occupations has remained stable or continued to grow.

We also find that adjustments occur primarily through employment rather than compensation. Furthermore, employment declines are concentrated in occupations where AI is more likely to automate, rather than augment, human labor. Our results are robust to alternative explanations, such as excluding technology-related firms and excluding occupations amenable to remote work.

These six facts provide early, large-scale evidence consistent with the hypothesis that the AI revolution is beginning to have a significant and disproportionate impact on entry-level workers in the American labor market.