In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and change occupations entirely. Companies have a critical role to play in addressing this challenge, but to date few have taken it seriously. To learn more about what their role will entail, the authors—members of a collaboration between the Digital Data Design Institute at Harvard’s Digital Reskilling Lab and the Boston Consulting Group’s Henderson Institute—interviewed leaders at some 40 organizations around the world that are investing in large-scale reskilling programs. In synthesizing what they learned, they became aware of five paradigm shifts that are emerging in reskilling:

1. Reskilling is a strategic imperative.
2. It is the responsibility of every leader and manager.
3. It is a change-management initiative.
4. Employees want to reskill—when it makes sense.
5. It takes a village.

The authors argue that companies will need to understand and embrace these shifts if they hope to succeed in adapting dynamically to the rapidly evolving new era of automation and AI.

Today's businesses are witnessing firsthand the transformative power of generative AI. A recent study found that 28% of workers use generative AI tools on the job, but more than half of them do it without permission from their employers. That number is growing, with nearly a third (32%) reporting plans to use GenAI tools soon.

The use of GenAI to write a brief or analyze a dataset may seem harmless. But experts warn Shadow AI — AI used by workers independently outside IT governance — can have unwanted security implications. 

La revolución de la IA Generativa es distinta a todo lo anterior. Cualquiera puede usarla para automatizar o enriquecer tareas básicas, pero la IAGen ya está demostrando también su potencial para reinventar procesos en toda la cadena de valor. Si quieren adoptar esta revolucionaria tecnología con responsabilidad y mejorar el trabajo para todos, los líderes tienen que liderar y aprender de formas nuevas. Eso significa tener una idea clara de cómo reinventar el trabajo, remodelar la plantilla y preparar a los trabajadores para el mundo de la IA generativa, al tiempo que se crea una cultura de resiliencia para hacer frente a continuas oleadas de cambio.

La IAGen dará lugar a cambios económicos y laborales sin precedentes desde las revoluciones agrícola e industrial, lo que llevará a una reinvención del trabajo con procesos más centrados en las personas. La IAGen está democratizando el rediseño de procesos de negocio, permitiendo que cualquiera (desde montadores hasta agentes de atención al cliente o científicos) pueda transformar su propio trabajo.

Are professionals openly discussing their use of ChatGPT at work with their managers?

A recent survey by Fishbowl, a social network where professionals come to discuss career topics anonymously and connect with each other to have conversations about work-life, found that 43% of professionals have used AI tools, including ChatGPT, for work-related tasks. Nearly 70% of those professionals are doing so without their boss’ knowledge.

The AI honeymoon is over, but its impact has barely begun. What happens when we no longer interact with AI on discrete tasks, but it's pervasive in our work? We’ll reach that reality faster than we did with the digital revolution. We’ll explore the ability and practices of AI-enabled individuals and teams to provide exponential value; This is the era of the billion-dollar team. We’ll show examples of how new team structures, workflows, and cultures are built, including several experiments within our own organization using AI to enhance employee productivity 10x and more on specific tasks.

In charting potential disruption, looking back at the groundbreaking work of yesterday provides an essential perspective to understanding key current and future technological trajectories. It can be easy to underestimate the capacity for global change within a lifetime, but recognizing past dramatic shifts can help us envision a vastly different world in the years and decades ahead.

As we look ahead to 2024, the world of work is in full metamorphosis, forever changed by the seismic shifts of the past few years. Societal dynamics are reshaping work structures, technology and AI are advancing at breakneck speed, and we are still navigating the aftermath and recovery of a post-pandemic world.

We wanted to hear how business executives, HR leaders, employees and investors were navigating this evolving landscape. More than 12,200 voices contributed to this year’s Global Talent Trends study and we are excited to share the results with you.

In 2024, enterprise leaders are doubling down on their GenAI investments. 16 developments for founders to keep in mind to capture this new opportunity.

Generative AI took the consumer landscape by storm in 2023, reaching over a billion dollars of consumer spend1 in record time. In 2024, we believe the revenue opportunity will be multiples larger in the enterprise.

A human-centered approach to leadership needs to incorporate three essential behaviors: intentional collaboration; empathetic management; and an openness to flexible work experiences.

While few leaders would dispute the benefits of such behaviors, the pursuit of competitive advantage can make profits versus people seem a binary choice. In truth, the two are inescapably interdependent.

Researchers ran an experiment in which one group of consultants worked with the assistance of AI and another group did work the standard way. The results showed that the AI-assisted group outperformed the no-AI group in almost every measure of performance. However, the AI-assisted group also tended to over-rely on the computer systems, opening up the possibility of errors slipping into their work.

The adoption of generative Artificial Intelligence (GenAI) has shuffled the list of top skills businesses want from professionals in 2024, according to a new job site study and education industry data. Far from replacing workers, GenAI appears poised to transform the way technologists and others work, allowing them to focus more on creative tasks such as product development, and less on mundane tasks that can be automated.

Analysis by the International Monetary Fund found that almost 40% of all global employment may be affected by AI, and in advanced economies, the figure could be as high as 60%. But don’t be alarmed. That doesn’t mean 40 to 60% of jobs will disappear altogether. Instead, it means that AI automation is likely to take away, streamline or enhance some of the tasks associated with those jobs. For the most part, then, we're talking about the augmentation of human jobs. We’re talking about humans working alongside AI tools, not being replaced by them.

But still, with the many headlines about the transformative nature of generative AI, it’s no wonder people are concerned about their jobs or just concerned about being left behind by this rapidly advancing technology. In this article, we’ll explore my top tips for staying relevant in the age of generative AI.

Employee health drivers, skills-first hiring and AI's role in creative thinking – these are the stories covered in this issue of the World Economic Forum’s 3 Work Trends newsletter, your guide to the future of work and education in an ever-changing world.

Artificial intelligence might not be coming for your job just yet.

A new study from the Massachusetts Institute of Technology (MIT) has found the tech might still be too expensive to replace some workers.

The researchers looked at the cost-effectiveness of automating tasks, focusing on roles that could use computer vision — a type of AI that derives information from images and video.

Generative AI is an utterly transformative technology that is already impacting how organizations and individuals work.

Las siguientes tendencias son fundamentales para el futuro del trabajo. Las organizaciones y sus líderes deben:

1. Comprender cómo examinar el panorama de habilidades y por qué es esencial evaluar, identificar, desarrollar y validar las habilidades que sus equipos tienen, no tienen y necesitan, a fin de mantenerse innovadores y competitivos.
   2. Adaptarse al auge de la IA, lo que incluye cómo la IA generativa y la automatización están cambiando la manera en que trabajamos, además de su función en el respaldo del paso a un enfoque basado en habilidades.
   3. Desarrollar líderes fuertes que pueden liderar a través del cambio y aumentar la resiliencia en los equipos.

En el Informe Global de Tendencias de Aprendizaje y Habilidades 2024 de Udemy, indagamos en estas tres áreas clave en las que los líderes se deben centrar, de modo que puedan adoptarlas como parte de su estrategia actual y futura en el entorno laboral.

Can we harness the power of artificial intelligence to solve the world’s most challenging problems without creating an uncontrollable force that ultimately destroys us? ChatGPT and other new A.I. tools can now answer complex questions, write essays, and generate realistic-looking images in a matter of seconds. They can even pass a lawyer’s bar exam. Should we celebrate? Or worry? Or both? Correspondent Miles O’Brien investigates how researchers are trying to transform the world using AI, hunting for big solutions in fields from medicine to climate change.

• LLMs and other GenAI models can reproduce significant chunks of training data.
• Specific prompts seem to “unlock” training data.
• We have many current and future copyright challenges: training may not infringe copyright, but legal doesn’t mean legitimate—we consider the analogy of MegaFace where surveillance models have been trained on photos of minors, for example, without informed consent.
• Copyright was intended to incentivize cultural production: in the era of generative AI, copyright won’t be enough.

Every year, after the inspirational whirlwind that is the Annual Meeting of the World Economic Forum (WEF) at Davos, I sit down to reflect on the themes that emerge. Last year, we discussed the radical reassessment of how we think about work and jobs — what we called “Work’s Great Reboot”

This year, that rapid reboot has been thrown into overdrive by the tsunami that is Generative AI (gen AI). It has stirred up excitement — and deep anxieties — as leaders try to understand and prepare for its impact on work, workers and society at large. Surpassing climate change, geopolitical crises and last year’s hot topic — crypto — gen AI was the hottest topic this year by a factor of 10. 

Artificial intelligence (AI) will be a familiar term for most by now. PwC’s 2024 AI Business Predictions report indicates that 73% of U.S. companies have already adopted AI in at least some business areas, with generative AI leading the way. The report also anticipates AI to contribute up to $15.1 trillion to the global economy by 2030. That’s more than the current output of India and China combined.

While AI use cases abound, many organizational leaders have yet to be directly affected. However, that gap is closing quickly. The depth, breadth, and potential impact of AI are poised to create challenges for leaders in almost every aspect of their roles. 

Since launching our talent tracker in 2020, artificial intelligence (AI) has taken the world by storm. Ostensible breakthroughs in large language models and machine learning methods, as well as staggering improvements in compute capabilities, have made the power and potential of AI demonstrably clear. 

Join Bernard Marr as we delve into the exciting world of new career opportunities emerging from the rapid advancement of generative AI. While the discourse often leans towards AI replacing jobs, the focus here shifts to the innovative roles generative AI is creating, marking a paradigm shift in the workforce.

We are on the brink of a technological revolution that could jumpstart productivity, boost global growth and raise incomes around the world. Yet it could also replace jobs and deepen inequality.

The rapid advance of artificial intelligence has captivated the world, causing both excitement and alarm, and raising important questions about its potential impact on the global economy. The net effect is difficult to foresee, as AI will ripple through economies in complex ways. What we can say with some confidence is that we will need to come up with a set of policies to safely leverage the vast potential of AI for the benefit of humanity.