The paradox of efficiency: institutional interfaces, residuals, and the erosion of innovation drivers in AI-augmented organizations
Tianyuan Yang · 2026
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Description
Yang argues in twenty twenty-six that weaving AI into company decision-making quietly drains the raw material of innovation. Efficiency rises, he grants, but the odd, hard-to-measure ideas that seed new products get filtered out. His lens is the institutional interface: the joint effect of AI design choices, human-AI routines, and company norms on what the organisation notices.
He names a failure mode of automatic execution that runs unseen, strips human agency, and dulls self-questioning. Leftovers that defy the statistical mainstream, called residuals, get dropped at the thinking, acting, and valuing stages alike. Guards like non-optimised zones and outlier paths can help, but each carries stubborn dilemmas of isolation, authority, and judgement. The piece offers testable claims for governing AI-fed firms.
Catalog record
| CREATOR | Tianyuan Yang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 77 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |