How much runway will the creditors give those labs until they expect a ROI?
The financial underpinning the AI build out make zero sense, but we've seen the market remain irrational for long periods of time.
As another data point, these backlogs were at ~0.5T in 2022, before the AI boom started. Google for instance registered a 390% growth YoY in backlogs.
That’s not too far from the trillions being invested in the buildout.
I would say the irrationality of this buildout is exaggerated. It makes more sense to look at it as these companies making an existential bet on their futures.
Firstly, I would just ask, from a game theoretical perspective, why would these companies, all bitter competitors, most with very high fiscal discipline and absolute firehoses of double-digit billions of free cash flow per quarter pre-AI, actively do something that would be so destructive to themselves and the world economy?
Secondly, there are a ton of sources indicating significant growth and revenue coming from outside the AI industry. A few references:
1. The State of the AI Economy is the most thorough evaluation of deduplicated AI revenues I've found: https://www.exponentialview.co/p/the-state-of-the-ai-economy -- see especially the linked PDF report. I'm not a financial analyst, but they seem to cover all the bases. If nothing else, you should read this, it paints a very nuanced picture.
2. Enterprise surveys:
- https://knowledge.wharton.upenn.edu/special-report/2026-ai-a... (has links to reports from prior years, but enterprises)
- https://menlovc.com/perspective/2026-the-state-of-enterprise... (Enterprise AI deployment spend up to 177B, 5x YoY)
- https://a16z.com/state-of-markets-ii/
- https://www.deloitte.com/us/en/what-we-do/capabilities/appli...
3. Government surveys:
- https://www.federalreserve.gov/econres/notes/feds-notes/moni...
- https://www.genaiadoptiontracker.com/?tab=genAIwork&view=ove... - Toggle "Overall" and check the drop down for the variety of industries using GenAI; apparently 40% of "Agriculture, Forestry, Fishing, and Hunting" workers use GenAI. Also relevant: one tab over shows how much work hours they use AI for -- still only at ~5%.
- https://ec.europa.eu/eurostat/statistics-explained/index.php...
- https://www.oecd.org/en/about/news/announcements/2026/01/ai-...
4. Payment processor data:
- https://stripe.com/guides/indexing-the-ai-economy
- https://ramp.com/data/ai-index (also here: https://fred.stlouisfed.org/blog/2026/10/which-businesses-ar...)
This link mentions a bunch of the above and more: https://www.ryzlabs.com/guides/enterprise-ai-adoption-statis...
There are many more of such sources out there, Google AI overview is pretty good at surface them.
Oracle can re-rent them at spot at a higher price anyway.
Apparently a lot of market participants are too scared to be able to read today.