El-Erian: AI 'labor enhancement' to outweigh job losses

The setting for El-Erian's remarks was a soft September jobs report. Nonfarm payrolls grew by 29,000, the BLS said, while economists had forecast 90,000. The report also showed the unemployment rate ticking up and wage growth running below estimates, and it revised August's gain down to 133,000 from 162,000. Against that backdrop, El-Erian — Allianz's chief economic adviser and a Wharton School professor — told The 8:30 hosts that AI's 'labor enhancement' will prove 'more powerful' than the displacements it causes.

His framing looks past the near-term weakness in the headline payroll figure and toward how AI changes the work employees already do, rather than only counting the roles it removes. That distinction matters because the two effects would show up in different places: displacement in jobless claims and layoffs, enhancement in output per worker and wages. The report's misses — payroll growth, the unemployment rate and wage growth all landing on the wrong side of forecasts — are the kind of data that typically sharpen the debate over whether technology or slowing demand is behind weaker hiring.

What ultimately decides whether El-Erian's view holds is not this month's number but the path of payrolls from here; if hiring recovers, the case that AI mostly augments labor is easier to sustain, while a continued slowdown would keep the displacement question alive. Either way, the debate now carries a prominent economist's name, which is likely to give it more airtime.