The AI investment boom just got its most pointed reality check yet. Torsten Sløk, chief economist at Apollo Global Management, told TechCrunch that artificial intelligence has delivered “zero financial payoff to corporate America outside of tech” despite massive capital outlays and relentless hype.

That’s a blunt assessment from someone who watches how money actually moves. Apollo manages over $700 billion in assets, which means Sløk isn’t some skeptic on the sidelines. He’s looking at balance sheets across industries and seeing a lot of spend with very little return.

The timing matters. We’re now deep enough into the current AI cycle that early productivity gains should be showing up in financial results. They’re not. Companies outside the tech sector have poured resources into AI tools, hired data science teams, and reorganized workflows. The return so far? Approximately nothing, according to Apollo’s analysis.

This doesn’t mean AI won’t eventually deliver. It means the gap between investment and payoff is wider and longer than most executives expected. That gap creates problems. CFOs get nervous. Boards ask harder questions. The pressure to show results intensifies, which can lead to either smarter deployment or abandoned projects.

Google’s AI Search Remakes Publishing Economics

While corporate America waits for AI returns, one industry is already living with the consequences. Google’s rollout of AI-generated search summaries has fundamentally changed the economics of digital publishing.

The Verge’s Emma Roth laid out the damage in a weekend newsletter. For years, publishers optimized their sites to rank high in Google search results. The goal was simple: get readers to click through to your article. That click meant ad revenue, subscriptions, brand exposure.

AI Overviews changed the deal. Google now often answers queries directly at the top of search results, pulling information from multiple sources and synthesizing it into a summary. Users get their answer without clicking anything. Publishers get nothing.

The traffic drop has been severe enough that some outlets are rethinking their entire Google strategy. When your business model depends on search referrals and those referrals vanish, you either find a new model or you’re done.

This isn’t theoretical. Publishers are watching their Google traffic decline in real time. The ones who built their entire operation around SEO are in the worst position. They spent years learning Google’s algorithm, hiring specialists, structuring content to rank well. That expertise just lost most of its value.

AI Tries Journalism, Radio

Two new experiments show AI pushing into media work that’s always been deeply human.

Wired reported on AI agents named Jayden, Sam, and Zack who are pitching editors on reported stories and investigative features. It’s unclear how seriously editors are taking these pitches, or whether any have actually been accepted and published. But the fact that AI agents are in the pitch queue at all marks a shift.

Meanwhile, a bilingual AI radio host called Coyotec is gaining listeners by speaking Spanish, swearing on air, and telling immigrants how to defend themselves against ICE raids. Wired reports the AI host’s popularity comes as more broadcasters experiment with artificial personalities.

Coyotec is interesting because it’s not trying to sound neutral or corporate. It has a point of view, uses rough language, and serves a specific community. That’s a harder trick than reading news headlines in a smooth voice. If AI can handle opinionated, culturally specific broadcasting, the range of radio jobs at risk just got wider.

These aren’t replacement-scale deployments yet. But they’re real-world tests of whether AI can do work that requires news judgment, source cultivation, and cultural fluency. The early answer seems to be: sort of, sometimes, in limited ways.

The Through Line

Sløk’s “zero payoff” assessment and the media industry’s AI reckoning are two sides of the same story. Companies are spending heavily on AI. Some of that spending is creating real disruption, like Google’s search changes. But most of it isn’t yet producing financial returns that show up in earnings reports.

The question is whether that changes. Maybe corporate AI investments just need more time to mature. Or maybe a lot of this spending is chasing hype rather than genuine productivity gains.

What’s clear is that AI’s impact so far has been uneven. It’s already restructuring some industries while delivering nothing measurable to others. And the gap between disruption and return is becoming harder to ignore.