Mind the Gap: AI Adoption in Europe and the U.S.

Differences in AI adoption in Europe and the US: Explanations and implications for productivity growth

The economic impact of generative AI will depend on the speed and breadth of adoption by workers and firms. Drawing on a survey of workers in the US and six European countries and a firm survey covering 32 European countries, this column explores the speed of AI adoption across countries and whether an ‘AI gap’ will exacerbate existing productivity differences between the US and Europe. There are large differences in AI adoption across countries, much of which are accounted for by management practices. Higher AI adoption rates are associated with faster productivity growth but not with changes in employment.

AI adoption higher among men than women: Survey

This large gap — 81.3% compared to 58.8% — stems from the higher representation of women in skilled trades, where AI usage remains extremely low.

AI Adoption and Inequality

There are competing narratives about artificial intelligence’s impact on inequality. Some argue AI will exacerbate economic disparities, while others suggest it could reduce inequality by primarily disrupting high-income jobs. Using household microdata and a calibrated task-based model, we show these narratives reflect different channels through which AI affects the economy. Unlike previous waves of automation that increased both wage and wealth inequality, AI could reduce wage inequality through the displacement of high-income workers. However, two factors may counter this effect: these workers’ tasks appear highly complementary with AI, potentially increasing their productivity, and they are better positioned to benefit from higher capital returns. When firms can choose how much AI to adopt, the wealth inequality effect is particularly pronounced, as the potential cost savings from automating high-wage tasks drive significantly higher adoption rates. Models that ignore this adoption decision risk understating the trade-off policymakers face between inequality and efficiency.

Half of Americans report using AI services, with information and productivity leading use cases

New Epoch AI/Ipsos poll reveals high AI engagement, diverse use cases, and emerging workplace integration

Technological Disruption in the US Labor Market • The Aspen Institute Economic Strategy Group

DAVID DEMING, CHRISTOPHER ONG, LAWRENCE H. SUMMERS This paper explores past episodes of technological disruption in the US labor market, with the goal of learning lessons about the likely future impact of artificial intelligence (AI). The authors measure changes in the structure of the US labor market going back over a century in two ways.&nbsp...

Do AI-enabled companies need fewer people? | Seldo.com

AI-native startups are doing more with less — 40% smaller teams, 6x higher revenue per employee — and the data confirms it's not just hype. But the wave of new jobs I predicted hasn't materialized so far. Compute is replacing labor. Will that change?

Predictors of Artificial Intelligence Technology Adoption Behaviour among Female Entreprenuers in a Typical Emerging Market

Though artificial intelligence (AI) adoption among female entrepreneurs in emerging economies is still limited and poorly understood, AI presents revolutionary

Most Americans say AI development is moving too fast and twice as many are AI pessimists as AI optimists

Young adults are more likely than older Americans to believe that AI will create economic gains that benefit everyone, but they are also more likely to worry that AI will replace jobs they depend upon

Women and AI: The Gender Gap in AI Adoption and Recognition [Data]

Lean In’s survey shows how women are losing out in the AI age. Learn how women and men compare in AI adoption in the workplace, recognition, and more.

The AI gender gap | Datawrapper Blog

In this Weekly Chart, we examine the gender gap in AI adoption.

Women executives warn AI adoption is outpacing workforce development

A Chief and Harris Poll survey reveals how women leaders are shaping AI adoption by prioritizing workforce development and ethical implementation over speed.

AI Gender Pay Gap - Emerging Tech - I by IMD

As AI investment grows, unequal access to emerging tech skills is widening the AI gender pay gap. New research shows how organisations can reverse it.

As more Americans adopt AI tools, fewer say they can trust the results | TechCrunch

AI adoption is rising in the U.S., but trust remains low, with most Americans concerned about transparency, regulation, and the technology’s broader societal impact, according to a new Quinnipiac poll.

The gen AI gender gap

Generative artificial intelligence (gen AI) is expected to increase productivity. But if unequally adopted across demographic groups, its proliferation risks exacerbating disparities in pay and job opportunities, leading to greater inequality. To investigate the use of gen AI and its drivers we draw on a representative survey of U.S. household heads from the Survey of Consumer Expectations. We find a significant "gen AI gender gap": while 50% of men already use gen AI, only 37% of women do. Demographic characteristics explain only a small share of this gap, while respondents' self-assessed knowledge about gen AI emerges as the most important factor, explaining three-quarters of the gap. Gender differences in privacy concerns and trust when using gen AI tools, as well as perceived economic risks and benefits, account for the remainder. We conclude by discussing implications for policy to foster equitable gen AI adoption.