Your efficiency is becoming your biggest fiscal risk.
Recent reports show Microsoft is pulling back on certain AI coding tools because the bills became unmanageable.
Similarly, Uber burned through its entire 2026 budget in only four months because the engineers used the tools effectively.
Enterprise AI is transitioning from predictable software subscriptions to volatile consumption based agency.
When engineers use autonomous agents to perform complex tasks for hours at a time, they create a surge in token consumption that no standard software subscription can account for.
The math is difficult.
If a company with Microsoft scale cannot control these costs, the math for a mid market enterprise becomes even more punishing.
The standard rebuttal is that productivity gains should outweigh the increased tool spend.
But a productivity gain is useless if it creates an unforecastable OpEx spike that breaks your budget.
1. Implement hard token caps at the departmental level.
2. Shift AI budgeting from fixed SaaS lines to variable utility models.
3. Prioritize output ROI.
If your AI adoption goes from 10% to 80% overnight, is your budget prepared to handle the spike?
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