kaal:position:2026-07-31-7398

Policy, Governance, and Technology: What Drives AI Readiness? An Empirical Study of 155 Countries presents the following source proposition: Results show that human capital, data availability, infrastructure, and innovation capacity are the strongest predictors of AI readiness. This proposition is pertinent to Kaal's source-bound claim that Market leaders fail against disruptive technologies because they shortsightedly refuse to cannibalize their own dominant position, and that refusal often produces abrupt loss of market dominance or total replacement. The proposed response is an agreement: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.

• The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.
• External evidence level: abstract indexed.
• Mapping review tier: moderate-confidence claim review.
• Primary mapping confidence: 0.373.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

Policy, Governance, and Technology: What Drives AI Readiness? An Empirical Study of 155 Countries

kaal:claim:3808859-002
Wulf A. Kaal, Decentralization – Why We Need Technology Infrastructure Upgrades (2021). SSRN: https://ssrn.com/abstract=3808859
Source PDF sha256: 304ad25d43b5ecea3158e3a2ca04e6e1e3bd2958e2134e2dcefbfedf3b6f3ab7

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.373
Mapping ambiguous: true

innovationeconomicshistorical-responsescholarly-literaturecrossref

Affirmed in kaal-review:2026-07-31:streaming-etl-0008 on 2026-07-31. Review record.

Canonical markdown sha256: f2831b0f6ea05aaf4639f8d32a159c6416e820da0e44e1e08b2bf77846b3983e
curl -s https://wulfkaal.github.io/positions/2026-07-31-7398.md | sha256sum