Artificial intelligence is spreading through American workplaces faster than any prior technology, yet its impact on jobs and wages remains elusive. A new report from The Conference Board offers four scenarios for how AI could reshape the labor force, urging business leaders, policymakers, and educators to act before certainty emerges.
The report's scenarios range from gradual augmentation, where AI assists rather than replaces workers, to massive displacement, which could rival the most severe economic shocks in U.S. history. Two other paths—concentrated gains and uneven disruption—highlight how benefits and losses may be unevenly distributed across industries and regions.
Adoption and the Solow Paradox
By the end of 2025, roughly 18% of U.S. firms and 41% of workers reported using AI, with adoption heaviest among large firms and knowledge-intensive sectors like professional services and finance. Despite rapid diffusion, productivity gains have been slow to show up in statistics, echoing the Solow Paradox—Nobel laureate Robert Solow's 1987 observation that computers were everywhere except in productivity data. The Conference Board suggests AI may follow a similar delayed trajectory, but its reach into cognitive work could accelerate the transition.
Within three years, the board projects that 60-70% of jobs in the cognitive workforce—roles centered on knowledge tasks—will involve human-AI collaboration, compared to just 15-25% that remain human-only.
Implications for wealth management
The "concentrated gains" scenario is particularly relevant to advisors. Unlike past automation waves that hit middle-skill routine jobs, AI displacement risks span the income spectrum, including high earners and knowledge workers who previously benefited from technology. The Conference Board's AI and Automation Risk Index, using O*NET data, estimated in 2024 that 48% of STEM tasks have high AI exposure, versus only 23% in manual trades. That inversion matters for advisors whose clients include tech professionals and financial analysts.
Geographically, an analysis of 195 U.S. metro areas found that just 30 accounted for nearly 70% of AI-related job postings, creating risks for cities with dominant industries facing disruption. Within advisory firms, AI is already eliminating back-office roles, as entry-level tasks vanish, raising concerns about career pathways for new advisors.
Productivity gains—with limits
AI's upside is real: a 2023 customer support study showed a 14% increase in issues resolved per hour, and writing experiments found productivity gains concentrated among weaker writers. Software developers saw a 26% boost in task completion, again favoring less-experienced coders. However, a 2023 study of management consultants found that for tasks beyond AI's frontier, those with access were 19% less likely to produce correct solutions. For financial professionals, this means AI may enhance routine analysis but introduce new failure modes in complex situations—precisely where clients need human judgment.
As RIA AI adoption drives headcount gains, firms must decide which roles change and how fast. The report also notes that early-career workers face lower employment in AI-exposed occupations, a concern echoed by next-generation advisors.
What leaders should do now
David K. Young, president of The CEO Center at The Conference Board, argues that waiting for certainty is not an option. "The challenge is not to predict with certainty whether AI will create jobs, eliminate them, or fundamentally change how they are performed. It is to prepare for each possibility," he said.
The report recommends three actions: improve data collection and early-warning indicators, invest in worker training—especially for mid-career and highly educated workers—and establish rapid-response mechanisms. For advisors, this means monitoring AI's impact on client industries and preparing for shifts in retirement planning as workers adapt.
