THREE QUESTIONS MISSING FROM YOUR BOARD DECK
AI spending up 𝟕𝟔% in 2025. Cold email response rates at a 7-year low.
More Investment. Diminishing Returns.
The model ran. Nobody asked if it still worked.
Revenue, pipeline, win rate. Same deck, every quarter.
Three questions that belong on the next one:
✅ When was this model last validated against real commercial outcomes, not predicted ones?
As noted in Gartner's May 2026 research, only 𝟒𝟎% of organizations will monitor model performance in production by 2028.
A study by Harvard University, Massachusetts Institute of Technology and University of Cambridge examining 32 datasets across four industries found 𝟗𝟏% of ML models degrade over time.
Revenue gets reviewed every quarter. Most organizations have no record of validating it since it went live.
✅ Can your CFO calculate what this model's wrong recommendations cost this year?
As outlined in RAND Corporation's 2025 enterprise AI report: 𝟖𝟎.𝟑% of enterprise AI projects fail to deliver promised business value.
The deployment cost is on the balance sheet: licenses, implementation, headcount.
The error cost is not. Almost nobody tracks revenue lost to accounts deprioritized by mistake.
If the model's errors aren't a budget line, the ROI calculation is incomplete by design.
✅ What evidence shows this model is outperforming what your commercial team would have decided without it?
Based on findings from Gartner's April 2026 enterprise AI outlook, only 𝟐𝟖% of AI use cases in enterprise operations fully succeed and meet ROI expectations.
Which means most organizations are running AI without a validated baseline to prove it works. No control group, no historical comparison, no counterfactual: you can't prove the model adds value. You can only assume it.
Those projects aren't failing because the model doesn't work. They're failing because nobody designed a way to know.
At board level, assumption is not strategy.
Unpopular opinion: every board approved the AI budget. Almost none approved the accountability framework for when it's wrong.
Your board would fire a senior advisor who couldn't justify his track record. What's the standard for the model?
Three questions missing from your board deck. hashtag#TheConvergenceTrap 3.2 of 3
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