The Cost of Doing Nothing
More than it looks. Inaction is a compounding cost: the top 12% of adopters already see 2.5x higher returns, and that gap widens every quarter. The right comparison for any AI business case is against a moving competitor, not a static baseline.
The baseline is moving
Business cases treat "do nothing" as the zero-cost option. It is not, competitors adopting AI reset the baseline you are measured against, so standing still means falling behind.
The real risk
The risk is not that AI fails, it is doing it without a plan while disciplined competitors compound their lead. The failure rate is high precisely because most skip the honest business case.
The 42% abandonment rate is not evidence that AI does not work; it is evidence that undisciplined adoption does not work (S&P Global, 2025). The businesses pulling ahead are not the ones that moved recklessly or the ones that waited, they are the ones that moved deliberately, with a real business case. Doing nothing avoids the first failure mode and guarantees the second.
Frequently asked questions.
If 42% of AI initiatives are abandoned, isn’t waiting safer?
No, that number reflects undisciplined adoption, not AI itself. Waiting avoids reckless spending but guarantees you fall behind competitors who adopt deliberately. The answer is a disciplined business case, not inaction.