by Editorial Team, AdvisorAnalyst
The doomsday clock is ticking — at least according to the growing chorus of technologists, economists, and commencement speakers warning that artificial intelligence is about to hollow out the American workforce. Talk of the "AI jobs apocalypse" has reached a fever pitch. Some luminaries are predicting that AI is permanently impairing the jobs landscape — and judging by the jeers experienced by university commencement speakers brave enough to mention artificial intelligence, young workers are terrified.
RiverFront Investment Group isn't dismissing those fears outright. But their latest analysis makes a sharply contrarian case: the apocalypse, at least so far, is a no-show.1
The Employment Reality Check
Start with the headline numbers. AI adoption has boosted economic output far more than it's disrupted the jobs market thus far. The April employment report beat expectations, and US employment has increased by a net 304,000 jobs so far this year — well above last year's 169,000 through April. Meanwhile, job openings held steady, and both layoffs and quits were little changed per the most recent JOLTS data.
That is not the picture of a labor market under siege. It is the picture of an economy absorbing a transformational technology without systemic dislocation — at least in aggregate.
Productivity: The Quiet Story Markets Are Pricing
The more consequential signal, RiverFront argues, is what is happening to output per worker — and it's significant. Output per hour worked — a proxy for productivity — is skyrocketing. In Q1, non-farm business productivity rose 2.9% year-over-year, well above its long-term trend. Productivity has grown above trend since the release of ChatGPT in fall 2022.
This is not coincidental. It is causal — and it matters for portfolios. Higher productivity means companies are producing more per dollar of labor input, compressing costs and expanding margins. That feeds directly into earnings, which feeds into equities.
The Unit Labor Cost Dividend
The mechanism running beneath these productivity gains is the compression of unit labor costs — what it costs to produce each unit of economic output. 'Unit labor costs,' or an approximation for the hourly compensation required to produce the US' economic output, is growing less than 2% over the past year. Moderating unit labor costs mean lower pricing power for workers, but the flip side is a tailwind for corporate profits, since wages are one of Corporate America's largest input costs.
The consequence is striking. This may be one key factor behind Q1's all-time high corporate profits and cash flow across both public and private companies — a trend visible in S&P 500 earnings as well.
There is a disinflationary dividend here too. Moderating unit labor costs are also historically linked to lower core inflation, as measured by core PCE. This is particularly important for an economy — and a Federal Reserve — trying to manage through a large headline inflation spike caused by the ongoing war in Iran.
The Tech Layoff Caveat — And Why It's Misleading
RiverFront does not ignore the AI-linked job cuts that have made headlines. But they contextualize them carefully. Challenger, Gray & Christmas counted nearly 50,000 AI-linked job cuts announced by US companies so far in 2026, roughly 17% of all announced layoffs. However, tech managers are likely using AI as a convenient excuse for needed headcount reductions after the sector's massive COVID-era hiring binge. Supporting this view, non-farm payrolls in the Information industry, while declining, appear to be simply normalizing back to pre-COVID levels.
It is a critical distinction. Normalization is not disruption. Cyclical correction is not structural collapse.
What the Research Actually Says
RiverFront leans on peer-reviewed academic evidence to anchor their view. The Yale Budget Lab's monthly econometric analysis comparing AI-exposed and AI-unexposed occupations found no statistically or economically significant impact on either employment or real hourly wages for AI-exposed workers. Similar findings from the Brookings Institution and the New York Fed point to the same conclusion: so far, AI appears to be stabilizing and possibly cooling America's labor market — not destroying it.
The Big Picture: Exceptionalism Intact
RiverFront frames the current moment explicitly within their US Economic Exceptionalism thesis. Despite widespread fears of AI 'hollowing out' the labor market, the US economy is experiencing something like the best of both worlds: rising productivity alongside a resilient jobs market. AI adoption is clearly reshaping the economy — from labor to capital — but the net effect on GDP thus far appears positive, not negative. This echoes the pattern of prior industrial revolutions, in which technological innovation ultimately created economic prosperity and opportunity, albeit unevenly.
Key Takeaways for Advisors and Investors
- Don't let narrative override data. The AI disruption story is emotionally compelling but empirically thin — at least through Q1 2026. Employment, productivity, and profit data all point in a constructive direction.
- Productivity is the portfolio signal. Above-trend productivity growth since late 2022 is not a coincidence. It reflects genuine AI-driven efficiency gains compounding through corporate earnings.
- Unit labor cost compression is a durable earnings tailwind. Lower wage inflation supports margin expansion, making this environment structurally favorable for equities.
- Tech layoffs require context. AI-linked cuts are real but reflect post-COVID normalization, not a new structural deterioration in employment.
- Stay invested in US assets. RiverFront's conviction on US Economic Exceptionalism remains intact — and AI is currently reinforcing, not undermining, the case for that positioning.
- Humility remains appropriate. RiverFront explicitly acknowledges the future remains uncertain. AI's longer-term labor market effects could still prove disruptive. But portfolios should be positioned on evidence, not anxiety.
Footnote:
1 Riverfront Investment Group. "The AI ‘Jobs Apocalypse’ That Isn’t." ETF Database, 2 June 2026,
