Can enterprise AI pay for the boom?
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Can enterprise AI pay for the boom?
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The AI buildout is making an enormous bet on what businesses will eventually be
willing to pay for intelligence. In our research this summer on Forecasting the
AI Bubble, we argued that a key indicator to watch is productive utilization by
enterprise customers. Specifically, we said if infrastructure supply catches up
before productive monetization materializes, the risk of a bubble pop increases
to dangerous levels. We forecast that supply constraints and healthy capital
funding appetites could provide the conditions for a “soft landing” and we
pegged 2029 as the high risk year. That brings us to the next obvious question:
what has to happen inside mainstream enterprises for their AI investments to
become economically self-funding? Michael Burry’s analysis of Anthropic
highlights the scale and interconnected nature of the commitments. Apollo’s
research by Torsten Slok raises questions about how broadly the financial
benefits are showing up today. And the history of the PC and internet eras
reminds us that productivity gains are not immediate - and that powerful
technology can coexist with what initially seem to be poor investment returns
that take time to appear.
