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Token spend is compounding faster than governance in enterprises past the pilot stage. The leadership job has moved from picking models to metering, attributing and capping consumption.
Reality
A Forbes Tech Council column argues enterprise AI sovereignty clauses fix where data sits and say nothing about whose model gets smarter. The author also sells the remedy.
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BeyondTrust's Morey Haber counts a 466.7% year-over-year rise in AI agents inside enterprises. They authenticate, hold privileges and move data, and insider-threat programs still assume a human.
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A FICO executive argues the binding constraint on agentic AI is auditability, not capability. The adoption curve is not waiting for the audit trail.
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Spending is forecast to climb from $213B to $240B while average breach costs hit a record, up 12%. The gap is measurement, and the man arguing it sells the fix.
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The AMA's 2026 physician survey puts data-privacy assurances at 86% and safety validation at 88%. Both gates sit upstream of model choice, and one of them is an infrastructure decision.
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A vendor-authored account of a real agent-driven exfiltration lands in the same month the AI Act's high-risk rules move out 16 months. Only one of those two dates is under your control.
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A DigiCert CTO argues the human approval step in agentic AI will disappear entirely. If he is right, the control most boards signed off on is going before its replacement is provisioned.
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A Forbes Tech Council argument worth taking seriously: AI cut the cost of the workflow layer, not the compliance-bearing core. That makes breadth a cost line rather than a moat.
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