Enterprise AI budgets have ballooned for two years on faith, but returns are lagging, raising questions about the sustainability of the infrastructure boom.
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Enterprise AI budgets have ballooned for two years on faith rather than evidence, and the gap between spending and returns is now drawing scrutiny. The infrastructure boom – data centers, GPU clusters, cloud capacity – has outpaced measurable revenue gains from deployed AI products.
A growing number of investors are questioning whether the current pace of capital expenditure is sustainable. The disconnect is most visible in the earnings calls of major cloud providers and enterprise software companies, where AI-related revenue growth has lagged behind the cost of building and running the models.
Some technology chiefs have begun to signal a shift in tone. The next round of quarterly reports will show whether companies plan to tighten the link between AI outlays and tangible business outcomes, or whether the faith-based spending continues.
For Apple, the path to AI monetization runs through device-level features rather than cloud-only services, a distinction that could matter if the broader infrastructure boom slows.
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