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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. 

Según Bill Gates, el saber manejar herramientas de inteligencia artificial como ChatGPT no garantizará a los miembros de la generación Z una seguridad laboral. Aunque considera esta tecnología como "divertida", no evitará un importante número de despidos.

As Mr. Jassy explained, AI advances mean employees will do less “rote work” and more “thinking strategically.” Workers will need to be able to use AI and, more important, they will need to come up with novel ideas about how to deploy it to solve problems. They will need to develop AI models, then probe and understand their limitations.

Given the rapid adoption of Generative AI and its potential to impact a wide range of tasks, understanding the effects of AI on the economy is one of society’s most important questions. In this work, we take a step toward that goal by analyzing the work activities people do with AI, how successfully and broadly those activities are done, and combine that with data on what occupations do those activities. We analyze a dataset of 200k anonymized and privacy-scrubbed conversations between users and Microsoft Bing Copilot, a publicly available generative AI system.

We find the most common work activities people seek AI assistance for involve gathering information and writing, while the most common activities that AI itself is performing are providing information and assistance, writing, teaching, and advising. Combining these activity classifications with measurements of task success and scope of impact, we compute an AI applicability score for each occupation.

We find the highest AI applicability scores for knowledge work occupation groups such as computer and mathematical, and office and administrative support, as well as occupations such as sales whose work activities involve providing and communicating information. Additionally, we characterize the types of work activities performed most successfully, how wage and education correlate with AI applicability, and how real-world usage compares to predictions of occupational AI impact.

¿Sabías que un 66 % de los directivos ya descarta a candidatos que no dominan la Inteligencia Artificial? En este análisis descubrirás por qué la IA ha pasado de ser un “plus” a convertirse en el nuevo filtro laboral y qué habilidades necesitarás para no quedarte fuera de juego. Exploramos datos reales, casos históricos de “destrucción creativa” y las oportunidades que nacen para quienes se adelantan a la curva tecnológica. Además, conocerás estrategias prácticas de formación continua y cómo combinar tu creatividad humana con herramientas inteligentes para volverte “a prueba de automatización”. Si quieres proteger tu carrera y preparar a la próxima generación para el empleo 2030, este video es para ti...

La presencia de la IA en la educación no solo transforma tareas operativas, sino que desafía la propia identidad del educador, sus funciones, sus decisiones y sus principios. ¿Qué significa ser formador cuando los algoritmos también enseñan? ¿Cómo sostener el criterio pedagógico cuando la inmediatez del prompt ofrece respuestas instantáneas? ¡Qué posición debemos adoptar cuando sabemos que la respuesta del estudiante está condicionada por el empleo de ChatGPT o sus similares?

En este contexto, se vuelve urgente cultivar una postura AIcrítica, que no se limite a usar herramientas, sino que interrogue sus propósitos, cuestione sus límites, y actúe desde una ética profesional, informada y reflexiva. La AIcrítica no es un rechazo a la tecnología, sino una forma de reconstruir la autonomía docente en diálogo con los sistemas inteligentes que lo rodean.

We’ve all seen the predictions that AI will be hugely transformative for jobs and employment, but we’re just not quite sure how.

Since it became clear that machine learning and generative language models can handle much of today’s knowledge-based work, we’ve been trying to predict the long-term impact.

Pessimists warn of potential mass unemployment leading to societal collapse. Optimists predict a new age of augmented working, making us more productive and freeing us to focus on creativity and human interactions.

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.

The detailed scenario, called AI2027, was published by a group of influential AI experts in the spring and has since spurred many viral videos as people debate its likelihood. The BBC has recreated scenes from the scenario using mainstream generative AI tools to illustrate the stark prediction and spoken to experts about the impact the paper is having.

The rapid rise of compound AI systems (AI Agents) is reshaping the labor market, raising concerns about job displacement, diminished human agency, and overreliance on automation. Yet, we lack a systematic understanding of the evolving landscape. In this paper, we address this gap by introducing a novel auditing framework to assess which occupational tasks workers want AI agents to automate or augment, and how those desires align with the current technological capabilities.

Our framework features an audio-enhanced mini-interview to capture nuanced worker desires and introduces the Human Agency Scale (HAS) as a shared language to quantify the preferred level of human involvement. Using this framework, we construct the WORKBank database, building on the U.S. Department of Labor's O*NET database, to capture preferences from 1,500 domain workers and capability assessments from AI experts across over 844 tasks spanning 104 occupations. Jointly considering the desire and technological capability divides tasks in WORKBank into four zones: Automation "Green Light" Zone, Automation "Red Light" Zone, R&D Opportunity Zone, Low Priority Zone.

This highlights critical mismatches and opportunities for AI Agent development. Moving beyond a simple automate-or-not dichotomy, our results reveal diverse HAS profiles across occupations, reflecting heterogeneous expectations for human involvement. Moreover, our study offers early signals of how AI agent integration may reshape the core human competencies, shifting from information-focused skills to interpersonal ones. These findings underscore the importance of aligning AI agent development with human desires and preparing workers for evolving workplace dynamics.

Vivimos rodeados de inteligencia artificial. Está en nuestras redes sociales, en los buscadores de internet, en las plataformas educativas, e incluso en las preferencias de las empresas en las que confiamos. Nos recomienda películas, ordena nuestro calendario, escribe correos y corrige textos. Pero en medio de todo este despliegue tecnológico, una pregunta profundamente humana asalta nuestra realidad: ¿puede la IA olvidarnos si así lo deseamos?

We are entering a new reality—one in which AI can reason and solve problems in remarkable ways. This intelligence on tap will rewrite the rules of business and transform knowledge work as we know it. Organizations today must navigate the challenge of preparing for an AI-enhanced future, where AI agents will gain increasing levels of capability over time that humans will need to harness as they redesign their business. Human ambition, creativity, and ingenuity will continue to create new economic value and opportunity as we redefine work and workflows.

As a result, a new organizational blueprint is emerging, one that blends machine intelligence with human judgment, building systems that are AI-operated but human-led. Like the Industrial Revolution and the internet era, this transformation will take decades to reach its full promise and involve broad technological, societal, and economic change.

To help leaders understand how knowledge work will evolve, Microsoft analyzed survey data from 31,000 workers across 31 countries, LinkedIn labor market trends, and trillions of Microsoft 365 productivity signals.

We also spoke with AI-native startups, academics, economists, scientists, and thought leaders to explore what work could become. The data and insights point to the emergence of an entirely new organization, a Frontier Firm that looks markedly different from those we know today. Structured around on-demand intelligence and powered by “hybrid” teams of humans + agents, these companies scale rapidly, operate with agility, and generate value faster.

Frontier Firms are already taking shape, and within the next 2–5 years we expect that every organization will be on their journey to becoming one. 82% of leaders say this is a pivotal year to rethink key aspects of strategy and operations, and 81% say they expect agents to be moderately or extensively integrated into their company’s AI strategy in the next 12–18 months. Adoption is accelerating: 24% of leaders say their companies have already deployed AI organization-wide, while just 12% remain in pilot mode.

The time to act is now. The question for every leader and employee is: how will you adapt?

As in-person events have made a strong comeback in recent years, event organizers are rethinking how to make their gatherings more accessible, inclusive, and profitable. Enter the Metaverse: a powerful way to extend the reach of physical events into virtual spaces, unlocking benefits that traditional formats simply can’t match.

In this post, we’ll explore how integrating a Metaverse platform like Virbela into your event strategy can break down barriers, engage a global audience, and open new streams of revenue.