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Applied AI·May 31, 2026·1 min read

Claude Mythos exposed a hard truth: Your enterprise patching process is way too slow

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If GPT-4 can autonomously exploit 87% of one-day CVEs when given descriptions, your patch window is now measured in hours, not quarters. Treat public disclosure as the start of an automated exploit pipeline — not a grace period — and align patch SLAs to that reality.

Applied AI

AI adoption follows the J-curve path of general-purpose tech, like early US factory electrification, requiring years of investment before noticeable ROI gains (Exponential View)

If AI follows the electrification J-curve, your P&L will look worse before it looks better — the real returns show up only after you re-architect workflows, org design, and data plumbing, not after a few pilots. Treat 2026–2028 as infrastructure and process rewiring years, not as the period where AI line items must already be margin accretive.