The Missing Ledger

Lanai’s 2026 AI Labor Report surveyed two hundred technology executives. Ninety-two percent said their organization tracks the financial impact of AI work. Two percent said more than half of that work actually gets recorded as a business outcome. Ninety points of gap between “we watch it” and “we can prove it.”

The CEO of Lanai calls this “AI labor orphaning.” The AI does work. The work never enters the ledger. No attribution method. No financial linkage. No line item that says the machine contributed this.

Meanwhile, Bain surveyed 951 companies and found nearly 40% landed below their savings targets. And 90% are increasing budgets for the next cycle. Forty-four percent are funding new AI spending from savings generated by the last round of AI spending. That math only holds if the last round actually delivered what was projected. For most, it did not.

One detail from Lanai makes the cost tangible. Two groups ran the same finance workflow for 30 days. Same output quality. One group spent $52,015. The other spent $13,007. The only difference: which model each group happened to use, a choice nobody had made on purpose. Fixing that default saved 5% of the team’s annual spend.

The technology works. Nobody built the system to record what it produced. That is not an AI problem. It is a bookkeeping problem with a nine-figure budget attached.