The early success of Meta’s Muse AI agent has reignited a question that has been building all year: if AI tools can perform tasks inside a company quickly and cheaply, how much longer do companies keep paying humans to do the same work? Apollo Global Management’s chief economist addressed that tension directly in a recent interview, suggesting the labor market impact of tools like Muse is still a waiting game, one where the full effect simply hasn’t shown up in the data yet.
The case for concern is real and growing. Block, the payments company led by Jack Dorsey, cut 40% of its staff this year. Layoffs have swept through Amazon, Dell, Oracle, Coinbase, Cloudflare, and Meta itself, several of which we’ve tracked closely as part of the broader corporate efficiency wave reshaping how companies think about headcount in the AI era. Uber recently announced it would cut 10% of its workforce to capture what it described as significant efficiencies. These are not struggling companies making defensive cuts, they are profitable, growing businesses choosing to operate with fewer people even as they invest heavily in AI capability, a pattern that has now repeated across enough companies to look structural rather than coincidental.
Staffing and workforce advisory firms sit closest to this shift and are worth watching as a real-time indicator of how it plays out. Companies like Kelly Services and Resources Connection, both providers of staffing and flexible workforce solutions, along with Information Services Group, which advises corporations on technology sourcing and digital transformation decisions, are positioned to see these dynamics well before they show up in national jobs data. If companies are genuinely substituting AI for headcount at scale, these firms would likely see it first in shifting client demand for permanent placements versus flexible or project-based talent.
But the labor market data complicates the doom-and-gloom narrative considerably. Through August, the US economy added roughly 640,000 net nonfarm payroll jobs, averaging about 80,000 new positions per month, numbers that don’t reflect a labor market in collapse. Apollo’s economist made a useful distinction on this point, noting that while tools like Muse will genuinely eliminate some jobs, the new products and business activity AI enables will also create employment elsewhere, meaning this isn’t simply a displacement story, it’s a broader story about how AI reshapes business dynamics and, ultimately, aggregate employment in ways that cut in both directions simultaneously.
There’s an added wrinkle worth watching closely. A recent Gartner survey projects that by 2029, roughly 30% of employees laid off due to AI will need to be rehired, at meaningfully higher cost than their original positions carried. That’s a notable admission that some of this year’s efficiency-driven cuts may prove to be overcorrections, companies discovering that certain roles genuinely required human judgment or oversight AI couldn’t fully replace, and having to pay a premium to bring that expertise back.
For investors, this debate is no longer background noise, it’s showing up directly in the data that moves markets. Monthly jobs reports, which we’ve covered closely as they’ve swung between blowout beats and unexpected losses this year, are taking on greater weight precisely because AI-driven labor market shifts are becoming a genuine wildcard in how those numbers get interpreted. For companies in the small and microcap space, this dynamic cuts two ways worth watching. Smaller companies with leaner existing headcount may be structurally better positioned to adopt AI efficiently without the large-scale layoffs playing out at bigger firms, while companies specifically building AI tools, agents, and workflow automation software for business customers sit squarely in the path of demand created by this exact shift. Whether AI ultimately proves to be a net job destroyer or a net job reshuffler remains genuinely unresolved, and that uncertainty itself is becoming a market-moving variable heading into the final months of the year.
