The AI bubble can wait, but your exit plan can't
The risk is concentrated in a few places: a small number of builders under real financial strain, and circular financing deals with the AI labs." Conveniently, Forrester has developed an AI Bubble Model to help technology leaders monitor the risks and prepare.
Key points
- Its latest report, " An AI Bubble Burst Is Not Imminent," notes what many in the IT industry, including The Register, have been saying for a while: that the hyperscale operators are committing a record share of revenue into capital expenditure to bring online more infrastructure to support AI development and use.
- The AI bubble isn't about to burst, Forrester reckons, although businesses should prepare for a correction that could upend their suppliers, contracts, and prices.
- "Fears that an AI bubble is about to burst are premature," said Forrester emerging technology veep Brian Hopkins.
They should keep investing where AI delivers value that can be demonstrated, closely monitor the financial health of the companies building AI computing, and be ready for corrections.
Additional details
- But Hopkins sounded a further note of caution: "Oversupply on its own won't decide whether a correction comes.
- Spending on infrastructure has raced ahead of measurable returns, the analyst says, yet the financial strength of the companies funding the build-out is what keep Forrester from predicting an imminent crash.
- A recent report from management consultants Bain & Company came to similar conclusions, estimating the AI industry needs to generate $6 trillion in annual revenue by 2031 to keep funding all the infrastructure it needs, and this will require new uses beyond simply enhancing employee productivity.
- Forrester also claims that the forces making AI abundant also make parts of the market unstable, and says that enterprise users should take heed of how prices collapsed as major providers like Anthropic slashed token costs in response to competition from open source models.
- Enterprises should also stress-test AI plans against scenarios such as a key vendor announcing end of support in 12 months, and an AI model supplier defaulting on payments to its compute vendor and cutting back service-level agreements for enterprise workloads.
How this summary was made: extractive summary — built from the sources' own reporting. It is drawn only from the reporting of the sources listed below — read the originals for full detail. How we summarize →
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