El mercado laboral en Estados Unidos está viviendo un cambio histórico. Lo que antes parecía ciencia ficción, hoy es una realidad: millones de empleos están siendo reemplazados por la inteligencia artificial. 

¿Qué significa esto para ti?

• Profesiones enteras podrían desaparecer en menos de 5 años.
• Universitarios recién graduados ven cómo sus oportunidades se desmoronan. 
• Call centers, despachos de abogados y áreas administrativas ya están siendo sustituidos por algoritmos.

El informe del MIT titulado El Estado de la IA en las Empresas 2025, se basó en investigaciones preliminares del Project NANDA, en donde se detectó el fenómeno conocido como la Brecha de la IA Generativa. Esto se debe a que la IA Gen está siendo mayormente utilizada para ejecutar tareas individuales relacionadas con el marketing, en vez de implementarlas en desarrollo interno organizacional y en la solución de problemas con los flujos de trabajos de oficina.

El informe concluyó que la asignación de la inversión de la IA Gen estuvo fuertemente concentrada en funciones visibles de línea superior (top-line), a pesar de que las funciones internas (back-office) a menudo ofrecieron un mejor retorno de la inversión (ROI).

Artificial Intelligence tools are now playing a role in many aspects of life and society, spanning politics, the arts, work and beyond. While Americans express some openness to AI’s potential benefits, they’re concerned about its impact on some human abilities, according to a new Pew Research Center survey.

U.S. adults are generally pessimistic about AI’s effect on people’s ability to think creatively and form meaningful relationships: 53% say AI will worsen people’s ability to think creatively, compared with 16% who say it will improve this. An identical share (16%) says AI will make this skill neither better nor worse.

To study such patterns of early AI adoption, we extend the Anthropic Economic Index along two important dimensions, introducing a geographic analysis of Claude.ai conversations and a first-of-its-kind examination of enterprise API use. We show how Claude usage has evolved over time, how adoption patterns differ across regions, and—for the first time—how firms are deploying frontier AI to solve business problems.

Artificial Intelligence is moving beyond the role of a tool and beginning to act more like a colleague. The new wave of Agentic AI promises systems that can take initiative, anticipate needs, and collaborate in ways that feel closer to teamwork than automation. One of the clearest signs of this shift is happening in design and communication, where AI is starting to act as a creative partner rather than a simple utility.

Ruyu Chen, a postdoctoral fellow at the Digital Economy Lab of Stanford’s Institute for Human-Centered AI. It isn’t just lack of experience that could make getting a job extremely difficult going forward; he notes too that the market may be tougher for those who are just average at their jobs. In the age of AI, only exceptional employees have an edge. “We’re going from mass hiring to precision hiring,” said Chen, adding that companies are starting to focus more on employing experts in their fields. “The superstar workers are in a better position”.

Cuando hablamos de la revolución de la IA, estamos mirando a los lugares equivocados.

Si bien la mayor parte del debate público en torno a la inteligencia artificial (IA) se centra en tareas creativas (escritura, generación de imágenes, modelado del lenguaje), una transformación más discreta, pero posiblemente más impactante, está en marcha. Una transformación que no se limita a los titulares, sino a las hojas de cálculo, las cadenas de aprobación y las unidades compartidas.

Se está desarrollando en el núcleo administrativo de las organizaciones, donde los agentes de IA (sistemas o programas que realizan tareas de forma autónoma en nombre de un usuario u otro sistema) están comenzando a asumir las tareas invisibles pero esenciales que mantienen a las empresas en funcionamiento.

This spring, tech executives began sounding the alarm that Artificial Intelligence (AI) is rendering entry-level office jobs obsolete—positions long relied on as training grounds for advanced skills and networks. Headlines have since warned that AI will break the bottom rung of the career ladder, and white collar jobs such as software developers may be among the first to be disrupted by AI, especially for younger workers. Other analysts predict that, over time, low-wage service workers may ultimately be the most severely impacted. 

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.

Entry-level jobs are disappearing. The promise of AI’s workplace abilities and economic uncertainties have caused many companies to take pause while graduate-level unemployment is at an all-time high. What will the future of work look like if there are fewer starter jobs and middle management positions? Professional development and leadership pipelines will need to be redefined but how are companies doing it?

El informe de Udemy, Global Learning & Skills Report 2026 analiza la necesidad de transformar la fuerza laboral ante el auge de la IA y los cambios disruptivos que se avecinan. Argumenta que dominarla no es solo un objetivo técnico, sino que requiere una nueva mentalidad operativa y una redefinición sistemática de los procesos de aprendizaje. El informe aboga por un desarrollo de habilidades más práctico y contextualizado, en lugar de la formación tradicional (conferencias-talleres), para garantizar la retención de conocimientos y su aplicación real. Asimismo, destaca que el éxito en la implementación de la IA depende de un liderazgo eficaz, una ética sólida y la autonomía del personal para gestionar la incertidumbre y generar confianza. El documento sostiene que la verdadera ventaja competitiva para el éxito a largo plazo, más allá de la era actual de la IA, reside en la capacidad de adaptación continua, impulsada por habilidades esenciales como el pensamiento crítico.

MIT researchers studied 300 public AI initiatives to try and suss out the "no hype reality" of AI's impact on business, Aditya Challapally, research contributor to project NANDA at MIT, tells Axios.

• 95% of organizations found zero return despite enterprise investment of $30 billion to $40 billion into GenAI, the study says.
• Even firms that are now using AI are not seeing widespread disruption.

The trend has alarmed some job-market watchers. “Such an increase is unprecedented outside of recessions,” said an economist at the Federal Reserve Bank of Richmond, alluding to a steady worsening of the long-term unemployment rate. Economists at Goldman Sachs recently expressed concern that a collapse in the number of job openings “risks locking out” those who are already unemployed.

But just as surprising as the rise in long-term unemployment is the subset of workers who are increasingly driving it: the college educated. The fraction of long-term unemployed people with a college degree has grown from about one-fifth a decade ago to about one-third today, according to government data compiled by Matthew Notowidigdo and Jingzhou Huang of the University of Chicago. The problem has worsened over the past year or two after easing temporarily.

U.S.-based employers announced 47,999 job cuts in June, down 49% from May’s 93,816. It is down 2% from 48,786 announced in the same month last year, according to a report released Wednesday from global outplacement and business and executive coaching firm Challenger, Gray & Christmas.

The second quarter saw 247,256 job cuts, the highest Q2 total since 1,238,364 cuts announced in 2020. It is up 39% from the 177,391 cuts announced during the second quarter last year. It is down 50% from the 497,052 cuts announced in Q1.

The rise of Generative AI (GenAI) in knowledge workflows raises questions about its impact on critical thinking skills and practices. We survey 319 knowledge workers to investigate:

1. When and how they perceive the enaction of critical thinking when using GenAI?
2. When and why GenAI affects their effort to do so?

Participants shared 936 first-hand examples of using GenAI in work tasks. Quantitatively, when considering both task- and user-specific factors, a user’s task-specific self-confidence and confidence in GenAI are predictive of whether critical thinking is enacted and the effort of doing so in GenAI-assisted tasks.

Specifically, higher confidence in GenAI is associated with less critical thinking, while higher self-confidence is associated with more critical thinking. Qualitatively, GenAI shifts the nature of critical thinking toward information verification, response integration, and task stewardship. Our insights reveal new design challenges and opportunities for developing GenAI tools for knowledge work.

AI is reshaping how we work. It's also reshaping who thrives at work.

According to Cisco's 2024 AI Readiness Index, 85% of global business leaders believe they have less than 18 months to implement an AI strategy or risk falling behind. Yet, fewer than one in seven companies are fully prepared to adopt AI at scale. Even as companies increase investment, many are realizing they lack the infrastructure, governance and culture to fully unlock AI's value.

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.