Kill every AI pilot that can't show ROI in 90 days?
Hyperscalers need three trillion dollars in AI revenue to break even, yet 95% of organizations see no measurable return on GenAI investments. Your sprawling pilot portfolio risks significant financial losses as enterprise AI budgets defer.
The question
Our AI pilot portfolio is sprawling and most pilots have no defensible ROI metric. Do we enforce a hard 90-day ROI gate and cancel everything that misses it, or keep funding exploration on faith for another quarter?
Counsel's position
Implement a tiered funding model for AI pilots, enforcing a 90-day value demonstration for tactical initiatives while allowing longer runways for strategic exploration.
Verdict
The verdict: Implement a tiered funding model for AI pilots, enforcing a 90-day value demonstration for tactical initiatives while allowing longer runways for strategic exploration.
Hyperscalers need three trillion dollars in AI revenue to break even
Given your sprawling pilot portfolio, the macroeconomics of AI dictate that vendors will increasingly pass these massive infrastructure costs down to enterprise consumers.
95% of organizations see no measurable return on GenAI investments
Given your lack of defensible ROI metrics, the broader market data confirms that soft approval memos consistently fail to produce integrated value.
Microsoft and Google report negative AI ROI at -9% and -15%
Given your decision between faith-based funding and hard ROI gates, even the largest tech companies are seeing negative returns from uncapped token usage.
Uncapped tokenmaxxing has led to shocking quarterly AI token expense figures
Given your sprawling portfolio, incentivizing broad AI usage without specific value-generating applications leads to unpredictable and unsustainable costs.
Enterprise AI budgets are deferring as organizations demand proof of value
Given your decision on enforcing a 90-day ROI gate, the market is actively cutting or freezing AI features that lack native measurement infrastructure.
Read another verdict
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- Which process should we point AI at first?
- Our AI pilot works but nobody uses it — fix the workflow or kill it?
- Rent AI from a vendor, or run your own?