AI at work — Reuters Econ World

PodcastReuters Econ WorldNela RichardsonOct 7

AI is shifting tasks within occupations, with potential productivity benefits alongside job displacement; the guest argues that effective upskilling and investment in workers will shape the outcome. Labor-market pressures also reflect demographic aging, retirements, and tight supply in areas such as construction and manufacturing, while young workers in AI-exposed fields have seen steeper employment declines. Pay growth remains broadly stable, but workers' purchasing power and ability to change jobs remain important concerns.

Artificial Intelligence Automation Labor Market

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Key Takeaways

The guest frames AI as both a potential productivity aid and a source of displacement: Stanford research suggests it can improve performance for lower-performing customer service representatives, while its labor-market effects are better assessed by how it shifts tasks within jobs. She is hopeful AI could also help displaced workers, if the tools are used effectively.

The guest describes AI’s labor-market effects as uneven: ADP’s August report showed employment among young people fell 4.4% year over year in AI-exposed fields, versus 2% in non-AI-exposed fields, while AI appeared augmentative for older-career workers. She also says expertise is reinforced by AI and that occupations tied to machine learning and AI carry a wage premium over other digital jobs and software developers.

The guest argues that AI productivity gains depend on workforce development, not technology alone: past U.S. productivity shifts coincided with changes in workers’ experience, and she says AI training must happen faster. She warns that easy AI-related layoffs might produce short-term efficiency gains but could undermine trust, teams, and productivity, making investment in people important for sustained and safe use.

TECHNOLOGY

Productivity Aid — The guest cites Stanford research suggesting AI tools can improve performance for lower-performing customer service representatives. She presents AI as a potential aid to workers as well as a source of task displacement.

“For that latter group of customer service reps, Stanford's also done research, showing that if you use AI tools, you can actually increase the level of performance for low performing…”—

Task Shifts — The guest argues that AI's labor-market impact is better measured by tasks created and displaced than by whole jobs eliminated. It is changing the task mix within occupations, including IT: design creation is high-value, while documentation and diagnostics are lower-value. She recommends assessing workers at the task level and upskilling them as task values shift.

“But I think what we're going to be talking about in the labor market is how many tasks are created and destroyed, not how many jobs…”—

ECONOMY

Youth Employment — The guest reports that ADP's latest August report showed employment among young people fell 4.4% year over year in AI-exposed fields, versus a 2% decline in non-AI-exposed fields. Effects vary by occupation and career stage: employment rose for young people in some less-exposed health care roles, while AI appeared augmentative for older-career workers.

“So for young people in AI exposed fields, in our latest report for August, we saw a decline, a year-over-year decline of employment of 4…”—

AI Wage Premiums — The guest says AI appears to reinforce knowledge and expertise, while tasks requiring less experience or judgment are more automatable. ADP Research has also found a wage premium in occupations tied to machine learning and AI, compared with other digital jobs and software developers.

“AI seems to reinforce knowledge and expertise…”—

Upskilling Choices — The guest says AI's potential to create jobs and raise living standards is not guaranteed; it depends on choices and investment in people. She recommends that employers identify where value is created and upskill workers accordingly, while workers build durable skills. She warns that the transition may be messy and people may be hurt along the way.

“Yeah. I do buy into it, and that's the hope. It's an increase in living standards, but I don't think we're on a preset pathway to that…”—

AI Labor Market Opening

The host frames the discussion around whether AI will transform jobs, noting that history and labor-market data offer a more tractable way to assess its effects.

Early AI Employment Signals

Richardson says AI’s effects are emerging at the task level, with employment declines for young workers in highly exposed fields and gains in some less-exposed occupations.

AI Skills And Pay

The guest describes software and customer service as exposed occupations, while noting that AI can improve some workers’ performance and specialized AI expertise commands a wage premium.

Tasks, Not Jobs

Richardson argues that AI is more likely to redistribute and reshape tasks than eliminate entire jobs, making task-level analysis and worker upskilling central to the transition.

Productivity Needs Investment

The guest sees potential for AI to raise living standards, but says realizing that promise depends on investing in workers and helping them build experience with the technology.

AI Layoffs And Growth

Richardson says layoffs are possible if firms pursue short-term efficiency, but argues sustainable productivity and economic growth require workers to remain involved and become more productive.

Construction Labor Shortages

The guest links rising construction and manufacturing wages to data-center demand, an aging workforce, retirements, and limited labor supply, including a nearly 14% construction pay premium for job changers.

Aging And Labor Supply

Richardson says demographic aging is currently a stronger force than AI in the U.S. labor market, while retiree demand is expanding health-care employment and reshaping economies worldwide.

People-Centered AI Adoption

The guest argues that AI adoption depends on trust and products that serve people, and urges firms to keep workers and customers central to technological progress.

Preparing Young Workers

Richardson advises young people to build networks, expertise, and interpersonal skills, and says employers should upskill workers toward tasks that create value.

Displacement And Durable Skills

The speakers acknowledge that technological transitions can hurt workers, while Richardson says AI can help displaced people and that intentional investment can build durable skills.