Before the next headcount request, ask whether the constraint is really people, or capacity that AI could add to your existing team faster and at lower cost. This isn't an argument for replacing people. It's a discipline for making better capacity decisions.
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Weigh AI and headcount side by side before your next hiring decision.
Pin down the work that isn't getting done and what added capacity would need to deliver.
Put additional headcount and AI capacity side by side on cost, time to productivity, capacity added, and risk.
Separate what AI can cover from what still needs a person's judgment, ownership, and relationships, then decide where to invest.
From the LogicON 2026 session
Traditional IT budgeting models weren't built for token consumption, API costs, and fast-growing use cases. This session gave mid-market leaders a practical way to model AI costs, compare AI dollars to headcount dollars, and forecast spend as adoption scales.
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