AI has dominated headlines this year, but questions remain about its economic payoff. An MIT Survey claimed "95% of organizations are getting zero return". In contrast, Google reported that three-quarters of IT leaders see measurable ROI from generative AI. Both surveys come with biases, so we dug into something harder to spin: company earnings calls.

We analyzed 345 US-listed firms reporting between July 14 and September 18. Using keyword analysis, we measured "AI airtime" in transcripts. Technology unsurprisingly led, devoting 35% of its discussion to AI. Other sectors gave it less than 10%. The takeaway: despite the noise, investors outside tech don't yet treat AI as material.

Next, we classified AI mentions as either revenue opportunities or cost-saving initiatives. Growth plays excite investors more than efficiency gains, which are finite. Yet only technology and utilities leaned toward revenue. Everywhere else, AI was cast as a cost-cutting tool. The worry that AI adoption will shrink jobs is grounded in this: most industries view it as a labor arbitrage lever, not a growth engine.

Finally, we looked at headcount. We measured "hard reduction" mentions within workforce commentary. Surprisingly, technology ranked second highest after basic materials. For a sector long associated with hiring sprees, this is unusual. Other industries clustered around 20%. Taken together, the data suggests a broad cooling in job creation — and a pivot to efficiency — even in growth sectors.

Our analysis leaves three conclusions. First, AI remains mostly a technology-sector theme. Second, outside of utilities and tech, it shows up more as a cost-saving tool than a revenue driver. Third, workforce reduction is surfacing even in technology. For investors, this points to AI as a force that may expand both margins and revenue in tech — a potent mix for valuation.