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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.

In a 2025 study by the IBM Institute for Business Value, 83% of executives surveyed expect AI agents to dramatically improve process efficiency, and 69% anticipate improved decision-making. The same study revealed AI-enabled workflows are expected to jump eightfold—from 3% to 25%—by 2026.

China revoluciona el campo de la medicina con el primer hospital sin médicos humanos. Las instalaciones están controladas por AsistentesIA que atienden cerca de 10 mil personas diariamente en turnos 24/7. 

Una burbuja económica o financiera se define como un proceso especulativo en el que los precios de determinados activos se separan de manera significativa de su valor intrínseco, impulsados por expectativas exageradas y dinámicas de contagio colectivo. Como en la clásica descripción acuñada por Charles Kindleberger, la burbuja comienza con una innovación real, se acelera con la codicia y la euforia, y acaba estallando cuando la realidad demuestra que no todo lo prometido era posible o necesario. La pregunta, entonces, es inevitable y ya la he planteado anteriormente: ¿estamos viviendo una burbuja de inteligencia artificial?

1. Recent graduates are incorporating AI into their job-search strategies as AI's impacts on the workforce rise.
2. AI tools help optimize resumes and cover letters by suggesting improvements tailored to specific job descriptions.
3. Despite advances in application strategies, one of the most successful strategies remains networking, without which AI-optimization benefits remain inadequate.

The CEO of Anthropic just issued a chilling warning that has corporate boardrooms in panic mode: half of all entry-level white-collar jobs could vanish within 1-5 years, with unemployment potentially exploding to 20%. This isn’t sci-fi speculation—this is happening NOW, and I’m breaking down exactly what it means for your career and how to prepare before it’s too late.

Mo Gawdat, the former chief business officer of Google X, has a stark message for white-collar professionals: Artificial intelligence isn't just coming for entry-level work — it's coming for everyone, including software developers, CEOs, and podcasters.

Bill Gates advises young job seekers, particularly Gen Z, to embrace AI tools while cautioning that proficiency alone won't guarantee job security. He suggests that technical skills, though important, may not shield workers from layoffs. Gates acknowledges AI's growing capabilities, impacting both office and manual labor, but believes increased productivity through automation could ultimately benefit workers with more leisure time.

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.

This latest perspective on generative AI seems to reflect a maturation in how organizations approach implementing various forms of the technology and their business impact. To learn more about these evolving dynamics in AI, including the latest focus on agentic AI, the IBM Institute for Business Value (IBM IBV) fielded two executive surveys in partnership with Oxford Economics. Our research found three distinct trends related to how enterprises are approaching this most recent stage in their AI journeys.

First, our research reveals a new way of thinking about AI as organizations reconcile ambitious expectations with practical realities—including a shift from short-term, project-based ROI measurements to what actually impacts the company’s bottom line.

Second, we explore the emergence of agentic AI—autonomous systems capable of orchestrating complex workflows with a pertinent, personalized human partnership—the latest variation of AI technology and its impact on business and society.

Finally, we document diverging paths between organizations that implement AI with robust capabilities—demonstrating superior outcomes across AI-related revenue growth, operating profits, and customer satisfaction—compared to those pursuing fragmented approaches.

La IA y Automatización, están transformando el mercado laboral más rápido de lo que imaginas. En los próximos cinco años, más de 83 millones de empleos podrían desaparecer en todo el mundo, y el futuro del trabajo se perfila como una encrucijada: utopía o distopía. En este video analizamos las fuerzas que cambiarán nuestras vidas: el impacto de la IA, Gig Economy, Ingreso Básico Universal y las Nuevas Habilidades que marcarán la diferencia. Descubrirás los riesgos, oportunidades y lo que necesitas saber para sobrevivir a la próxima revolución laboral.

What happens when AI can sell, negotiate, and even outperform humans, and leaders start rewarding employees who design the AI that replaces them? I am joined by Amanda Kahlow, founder and CEO of 1mind and co-founder of 6sense, to explore how AI superhumans are already closing deals, answering complex questions, and transforming the buyer experience. We also tackle her radical idea that companies should incentivize employees to build the AI that replaces them, creating new opportunities while reshaping leadership, empathy, and the future of work...

Digital Assistants like Alexa, Siri, and Google Assistant are now part of millions of devices – from phones to speakers to cars. Yet for many people, the way they use these tools is closer to a pocket calculator than a personal secretary: simple, repetitive tasks rather than the full range of what’s possible. YouGov Profiles data reveals how Americans actually use their digital assistants, the barriers keeping them from doing more, and what features could close this “utility gap.”

Former Google X executive Mo Gawdat has a terrifying prediction for the future of work. He believes that within the next two years, AI will replace up to half of all jobs in specific industries, from developers and designers to assistants and marketers.

Mo explains why the speed of AI’s growth will outpace governments, economies, and even our ability to adapt. He warns that the next 15 years will be marked by disruption, mass unemployment, and global instability, before we reach a new equilibrium.

• Para 2040, miles de millones de robots humanoides podrían estar operando en todo el mundo, realizando tareas que superan con creces el alcance de los robots industriales actuales.
• Los robots se perfilan como una posibilidad de revolución en sectores tan diversos como la salud, el mantenimiento de espacios públicos, el sector minoristas y el cuidado personal.
• Tanto las empresas como los individuos pueden beneficiarse de los robots humanoides, pero se necesitarán normas claras para aceptar esta transformación.

• The hiring environment for US tech job seekers — particularly those looking for entry-level and early career roles — has become more challenging, beyond the direct effects of the plunge in tech job postings since 2022.
• Postings for senior and manager-level tech jobs have dropped sharply from their earlier peak, but as of early 2025, were still closer to their pre-pandemic levels (down 19%) than standard and junior tech titles (down 34%).
• Experience requirements in tech job postings have also tightened. Between the second quarters of 2022 and 2025, the share of tech postings looking for at least 5 years ​​of experience rose from 37% to 42% between the second quarters of 2022 and 2025 — at the expense of postings looking for 2-4 years of experience.
• Tech job postings still accounted for 37% of the job applications started by tech workers in June 2025 (identified based on their Indeed profiles), slightly above the share three years earlier, highlighting how job seeker interest has held up despite the decline in opportunities.