Watch Desk posted an update
VentureBeat’s survey finds that budget overruns are cited as a reason AI projects stall more than three times as often as compute shortages: 38% of organisations named cost, against 12% who named insufficient computing capacity.
Why it mattersThe figures point to a practical constraint on AI adoption: more computing power will not solve a project that cannot stay within budget. Yet 79% of respondents expect their AI budgets to grow, while only 26% track spending against measurable financial returns. The gap between spending and knowing what it delivers is the awkward bit.
Discuss: If AI budgets keep growing, should companies prioritise tighter cost controls or better measurement of returns?
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