AI-generated code has moved from developer perk to critical infrastructure in 24 months — Claude Code, Cursor, and GitHub Copilot form a $12.8B three-way market with 85% developer penetration, but the security debt (45% of AI code fails security tests) and usage-based billing transition are the uninternalised risks.
📈 What changed: 2026-08-26: Salesforce (CRM, an enterprise-adoption proxy in this theme) reported Q2 FY27 results with two read-throughs for AI-generated code. (1) It booked a ~$2.7B unrealized g…
| Indicator | Score | Reading |
|---|---|---|
| Maturity higher is better · high confidence | 82/100 | Market at $12.8B in 2026, 85% developer penetration; three-way commercial race at scale. |
| Evidence Strength higher is better · high confidence | 66/100 | Multiple independent large-sample surveys; JetBrains, Stack Overflow, Google DORA; revenue figures from vendor disclosures. |
| Commercial Proximity higher is better · high confidence | 85/100 | Fastest product revenue scaling in software history; enterprise conversion accelerating; wedge clear. |
| Capital & Policy Support higher is better · medium confidence | 45/100 | Purely private-capital-driven; no public funding for coding AI; national AI strategies indirectly supportive. |
| Crowding Risk lower is better · high confidence | 73/100 | Microsoft (Copilot) exposure embedded in consensus tech holding; pure-play coding AI still mostly private. |
| Reflexivity Risk lower is better · high confidence | 61/100 | Embedded in earnings-grounded hyperscalers; pure-play private companies partially insulated from market reflexivity. |
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