VQV Signal

ROBOTS & HARDWARE WATCH TECHNICAL

Apollo's Torsten Slok says AI has not yet paid off financially for US companies outside tech

According to a post on X by @glenngabe, Apollo chief economist Torsten Slok's note says companies outside the tech sector have seen no financial payoff from AI so far. The note describes these firms treating AI as a margin-hurting cost center, while VC-backed firms keep burning more tokens. The post also shares @stevehou's summary, given to @GavinSBaker, of the skeptics' case in the ongoing GPU price debate: higher compute costs are squeezing the margins of AI labs. The snippet is cut off, so the full argument is not visible here.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-25T12:58:00+00:00 Detected 2026-10-25T17:38:34+00:00
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According to a post on X by @glenngabe, Apollo chief economist Torsten Slok's note says companies outside the tech sector have seen no financial payoff from AI so far. The note describes these firms treating AI as a margin-hurting cost center, while VC-backed firms keep burning more tokens. The post also shares @stevehou's summary, given to @GavinSBaker, of the skeptics' case in the ongoing GPU price debate: higher compute costs are squeezing the margins of AI labs. The snippet is cut off, so the full argument is not visible here.

AI-assisted summary based on the listed source.

@glenngabe shared Apollo chief economist Torsten Slok's note that, outside the tech sector, companies have seen no financial payoff from AI so far and now treat it as a margin-hurting cost center, while VC-backed firms burn ever more tokens. In the ongoing GPU price debate, @stevehou summarized the skeptics' case...

For businesses outside tech, the claim suggests AI spending may be weighing on margins rather than yet producing financial returns. AI labs and their investors could feel pressure if rising compute costs continue to squeeze their margins, as the skeptics argue. Watch for the full Slok note and any direct data on AI returns for non-tech firms, as well as how the GPU cost debate develops.

Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.

Signal Strength 78% Technical label WATCH Public Interest 28 Category ROBOTS & HARDWARE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 18 Novelty Interest Score 70 Consequence Score 38 Curiosity Score 0 Shareability Score 44

VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).