Research
Productivity gains from generative AI are real but narrowly concentrated — novice workers gain significantly while experts gain little — and firm-level adoption remains limited, meaning the transformation is still early and will unfold over years, not months. The central unresolved tension is whether this cycle will follow historical precedent (net job creation, eventual broad prosperity) or break from it, as pessimists like Acemoglu warn that automation may outpace new task creation while optimists project 78 million net new jobs by 2030 — a disagreement driven by different assumptions, not different data. Most invisibly, displacement is already occurring at the hiring stage for young workers rather than through layoffs, AI is automating non-routine abstract tasks (not just routine ones) contrary to standard assumptions, and productivity gains show no evidence yet of flowing to workers rather than employers — making the distributional question the most consequential and least answered.
We introduce a new measure of AI displacement risk, observed exposure, that combines theoretical LLM capability and real-world usage data, ...
Abstract:This paper extends the Acemoglu-Restrepo task exposure framework to address the labor market effects of agentic artificial ...
The good news is AI is actually making workers more productive, rather than obsolete. The bad news? Employers might expect that productivity ...
Past innovation waves consistently displaced some jobs, but ultimately increased productivity, created new roles and expanded overall employment ...
Looking at business strategies in the next five years, the results of the Forum's latest survey of chief strategy officers highlighted commercialization of AI.
Explore PwC's 2026 AI predictions and learn how focused strategies, agentic workflows, and responsible innovation drive transformative business value.
The British Agricultural Revolution raised crop yields and released labour for industrial employment, although per-capita food supply in much of Europe remained ...
Artificial intelligence's impact on the labor market will depend on whether the technology automates or augments worker tasks.
Lindy AI, the workflow automation platform, recently launched their highly requested power-user feature: custom Python and JavaScript code execution directly ...
New AI tools have the potential to change the way workers perform and learn, but little is known about their impacts on the job.
How will advanced AI be developed, and what will its effects be in the world at large? What will happen if current trends in scaling up AI development.
(2025) find AI exposure correlates with longer work hours in the U.S.7 Hampole et al. (2025) use job postings and LinkedIn profiles from Revelio ...
In the latest McKinsey's State of Organizations 2026 report, we look at the key trends and challenges impacting organizations and how ...
The idea that “bigger is better” when it comes to generative AI models is a common misconception. Without getting too technical here, generative ...
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those ...
Workers age 22 to 25 in the most AI-exposed occupations have experienced a 13 percent decline in employment since 2022, a recent study by ...
The biggest impact of the Fourth Industrial Revolution is to improve the quality of life, reduce inequality of the world's population and raise income level.
Our results indicate that electricity adoption preceded an increase in conflicts, but strikes were of an offensive nature and most common in sectors with ...
This paper analyzes how computerization affected the labor market outcomes of older workers between 1984 and 2017.
Automation reallocates control and accountability; augmentation redistributes cognitive load and can either widen or narrow skill gaps depending ...
Since 2023, our team has tracked AI's evolution from early experiments to broad enterprise deployment, giving us a multi-year view of the speed ...
We present a framework for understanding the effects of automation and other types of technological changes on labor demand.
Technological change, geoeconomic fragmentation, economic uncertainty, demographic shifts and the green transition – individually and in ...
While some jobs will cease to exist in the new era of AI, new ones will be born – Paul Daugherty explains why reskilling is a competitive imperative and will be ...
Companies that adopt industrial artificial intelligence see productivity losses before longer-term gains, according to new research.
Worker access to AI rose by 50% in 2025, and expectations for scale are high: the number of companies with ≥40% projects in production is set to double in six ...
Anxieties about job displacement and income insecurity in the age of artificial intelligence (AI) are widespread.
Because AI is more likely to affect professional white-collar jobs than past waves of technological innovation, the research and researchers ...
In June 1979, manufacturing employment reached an all-time peak of 19.6 million. In June 2019, employment was at 12.8 million, down 6.7 million or 35 percent ...
The key is to move beyond simplistic metrics and vendor claims. Yes, GitHub reports a 55% productivity increase with Copilot in certain tasks.
Discover why task automation doesn't equal job loss—most roles will remain but change substantially, reshaping how employees work and what ...
Even in a world with no AI at all, our model shows that structural unemployment will rise. The reason is friction — the real and substantial ...
Since generative AI was first introduced nearly three years ago, surveys show widespread public anxiety about AI's potential for job losses.
Adoption rates reach 57% in computer-related fields, 50% in management and business, 48% in engineering and science, and 44% in other professional roles, and ...
The Forum's Future of Jobs Report 2025 reveals that 40% of employers expect to reduce their workforce where AI can automate tasks.
The critical and binding constraints are power availability, grid interconnection, and high bandwidth memory supply. These represent hard ...
AI eliminated the old friction of execution. The new friction is consensus, alignment, trust, and governance. Here's why AI transformation ...
In economics, the "Luddite Fallacy" refers to the mistaken belief that new technology causes permanent unemployment. Instead, technology may ...
How does Artificial Intelligence (AI) affect the task content of work, and how do workers adjust to the diffusion of AI in the economy? To answer these ...
In essence, policy choices made to suppress wage growth prevented potential pay growth fueled by rising productivity from translating into ...
Labor productivity appears to be accelerating again, possibly signaling the early impact of AI-driven efficiencies. This echoes the pattern seen ...
Acemoglu and Johnson describe the brutal exploitation of the workers who built the canal, and declare the project a “colossal failure”. That ...
Technology adoption follows predictable mathematical patterns across generations, with adoption speeds accelerating from telegraph (56 years ...
Agentic AI moves from prototype to enterprise reality in 2026. Explore use cases, governance risks, and what leaders must do next. - United States.
The widespread adoption of industrial robots in the 1970s and 1980s displaced approximately 1.2 million manufacturing jobs globally by 1990, ...
The Budget Lab at Yale finds no clear relationship between AI exposure and unemployment through August 2025 (Martha Gimbel et al., 2025). Anders ...
Workplace trends for 2026: AI, human skills and more expert job market predictions. Preparing to make 2026 an important year in your career?
The evolution of automation can be traced back to the early 18th century. What began as simple mechanization during the first Industrial ...
Generative AI's impact on productivity could add trillions of dollars in value to the global economy—and the era is just beginning.
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