Forecasting Research Institute × LEAP

U.S. Labor Share of Income

U.S. Labor Share of Income

Experts expect workers' share of U.S. income to slip from 57.6% in 2026 to 51% by 2040.

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Our Analysis

How do we interpret these results

All participant groups forecast that U.S. labor share will remain close to its current value in the near term. From a 2024 baseline of 58.3%, the median expert, public participant, and superforecaster each forecast labor share will edge down to 58% in 2026 and to 56% by 2030. By 2040, forecasts diverge modestly, with the median public and superforecasters both forecasting labor share falling to 53%, compared with 51% for experts. The expert distribution is shifted lower than the public's by 2040, especially at the 25th and 50th percentiles, where the differences are statistically significant. Even so, the central forecast in all three groups remains above 50%.

Forecasts by group

Median forecasts from each group

group202620302040
Experts
57.6%
55.7%
51%
Superforecasters
57.9%
56.1%
53%
Public
57.5%
56%
53%

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Rationale analysis

The main lines of reasoning driving the spread in estimates

Historical precedent vs. transformative AI

Nearly all forecasters expect the decline in the U.S. labor share—"from roughly 68% in 2001 to 58% in 2024"—to continue. The core difference among forecasters is by how much. Moderate-decline respondents tend to anchor on the existing trendline, particularly for near-term outcomes. One notes, "labor share moves like a supertanker," and another that, "labor share tends to change slowly because it is embedded in deep institutional and economic structures…labor markets adjust with demographic cycles measured in decades." These forecasters see AI as contributing to future declines, but in a way that fits neatly into the existing, long-term drive toward automation and that also includes other major drivers, such as "globalization, capital deepening, and structural shifts in bargaining power." Major-decline respondents argue that advances in AI will significantly accelerate the existing trend, particularly when it comes to long-term outcomes: "The U.S. labor share has decreased by roughly 10 p.p over the past 40 years…transformative AI will produce a similar decline in the labor share, but in less than half the time."

AI as substitute for labor

Major-decline respondents view AI as primarily substituting for labor across expanding domains. One writes: "By [2040] it is likely that we will have made such significant gains in AI developments that AI systems can outperform humans at: a) nearly cognitive tasks and; b) a significant share of physical tasks. This means that we will see an unprecedented decline in the labor share for nonfarm sectors such as finance, insurance, information technology and others where a small remaining share of employees occupy managerial positions or those around maintenance of AI systems and infrastructure." Moderate-decline respondents typically envision a slower AI-diffusion timeline and stress that AI is likely to change the nature of, but not eliminate, human labor: "Near-term AI adoption is more likely to reconfigure tasks and increase capital intensity within occupations rather than fully displace labor at scale," writes one, and another that "if AI and automation increases labor productivity in manufacturing…and a bigger share of labor is used in the provision of personal services that are not really suitable to automate (e.g. personal care), then it's possible that the labor share will increase."

Policy responses

Many moderate-decline respondents cite the potential for government policies to act as a stabilizing force. "Robots don't vote humans do," writes one, adding, "governments could decide that some classes of jobs should be reserved for humans…many non-traditional professions require a licence, which is often just a job protection measure." Another notes the question outcome "does not just depend on the technology but also on how regulation will react to a decline in labor share. Such a reaction could be to enforce a higher labor share, to implement something closer to universal basic income, or to do neither." Major-decline respondents express skepticism. One writes, "It is possible to stem this drop but it will require greater political will and cooperation than has been apparent in the last 25 years." Another notes that not all mitigating responses would stem the labor share decline: "I expect mounting political discontent and calls for windfall taxes or UBI by the early 2030s, government transfers generally do not count as 'labour share' in BLS methodology, so even if society adapts to keep humans materially comfortable, the technical metric will still crater."

Capital capture of productivity gains

Many major-decline respondents argue that most AI-generated value will flow to owners of capital: "The rise in AI will increase productivity and profits, but those yields will go to shareholders, not the actual workers."; "Labor share will tend to go down, unless we do something about the inequality between labor and capital. Given the current trends it is unlikely to happen." Although a minority, several forecasters argue countervailing wage pressures exist, particularly from demographics: "Perhaps more important in the short term is the aging population in the U.S. and the decline of immigration. That will put pressure on the labor market and might increase pressure to drive this upward."

Existence of a structural floor

Moderate-decline respondents argue labor share cannot fall indefinitely without systemic breakdown: "It obviously can't go to zero, because then no one is earning a living...otherwise there will be no income earned by people to spend on the goods that the AI-assisted businesses are selling." Major-decline respondents either don't engage with this argument or tend to point to the possibility of an exceptionally low floor, with one writing: "My median of 25% assumes a post-scarcity or ASI-driven economy where biological human labour has been relegated to a niche prestige market."

Rationale examples

High-quality rationales from forecasters across the range

Moderate-decline respondents

The decades-long decline in U.S. labor share from roughly 68% in 2001 to 58% in 2024 is striking, but the drivers appear to be largely structural and slow-moving, including increased market concentration, the shift toward asset-light and platform-based business models, and long-run changes in bargaining power, rather than primarily automation. Given that the trend has already decelerated somewhat in recent years and seems to be approaching a floor, I've projected a modest continued decline to around 57% by 2026 and 2030.

The main upward forces are: demographic labor scarcity (shrinking prime-age workforce bidding up wages), the reinstatement effect (automation historically creating new human task categories), and possible policy responses such as antitrust enforcement and labor market regulation.

The future of labor will not be like 'The Jetsons' cartoon, in which labor is a dumb widget pushing a button—rather labor will bifurcate between a more productive, higher paid skilled workforce boasted by mastery of LLM and robotics versus lower productive, lower paid non-tech workforce whose productivity is essentially unchanged. A key piece to slowing this trend will be enacting policies to protect labor (workers) and this has historically been difficult until a crisis is at hand (e.g., the horrific working conditions present in the industry during the late 1890s and early 1900s finally spurred labor reform. This time, protections for workers displaced by automation will need to be enacted at potentially considerable expense.

Following Acemoglu's recent work (e.g., The Simple Macroeconomics of AI), I expect AI's macro effects over the next decade to be relatively modest, with the effect on labor share depending on the balance between automation and the creation of new labor-using tasks. This leads me to predict a gradual further decline in labor share by 2026 and 2030, and a wider range of possible outcomes by 2040.

Major-decline respondents

The primary driver is the race between AI automating existing tasks (lowering labor share) and AI creating new, human-centric tasks (raising it). I assume automation will outpace reinstatement. AI technologies require massive capital investment (compute, energy, robotics). The returns on these investments will naturally flow to capital owners rather than workers…This historical trajectory demonstrates a consistent shift of economic output toward capital, heavily influenced by software automation and globalization. The downward pressure reported in Q3 2025 suggests that current macroeconomic conditions and early AI efficiencies are continuing this established trend.

AI will tremendously accelerate this rate of decline, most especially by 2040. This will happen for two reasons, both heavily AI driven. The first is that AI automation of both physical and cognitive work is going to eventually wipe out as much as 80% of jobs people now do. The second is that AI from 2030 to 2040 will cause a tremendous boom in productivity, which will significantly increase gross domestic product. So the…denominator will significantly increase.

The industrial revolution replaced manual tasks and provided opportunities in the cognitive space, [but] AI is now targeting both. The speed at which this is happening is also exponential, which means that there is less time to adapt & create new areas/industries. It could take decades before we can discover new areas…to reskill into.