The Innovator’s Dilemma Has Reversed
Foundation model providers now innovate faster than the market beneath them.
Traditional strategy assumed large incumbents moved slowly when facing technological change. AI systems reversed that pattern.
Owners of compute and foundation models hold continuous capital from existing operations, dedicated data centres and global distribution. Engineering cycles run on weekly releases. System updates arrive at a pace independent software vendors cannot sustain.
Venture capital funds market research for the platforms
Early-stage teams use external investment to test customer willingness to pay for single capabilities, including agent supervision, event logging and proprietary data containment.
Commercial validation signals demand directly to platform owners.
Infrastructure providers fold validated tooling into standard APIs during regular updates. Point applications lose utility when the foundation model absorbs the task. Entire software categories become basic operating system features.
Narrow software creates extinction risk for enterprise buyers
Boards face operational exposure through vendor selection. Integrating single-feature software into production ties internal resilience to suppliers with short financial runways.
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When platforms replicate the feature, the original vendor loses revenue and maintenance capacity. The corporate buyer inherits unmaintained code, operational disruption and unplanned migration costs. Procurement responds by consolidating spend directly with primary compute providers.
Fiduciary duty does not outsource
Legal obligations for governance stay with statutory officers. Standard contracts from early-stage vendors cap liability and offer no protection against regulatory penalties or operational loss.
Directors need technical audits centred on vendor lifespan.
Every third-party integration warrants an explicit assessment of the probability of platform absorption within twelve months.
Velocity without governance is compounding liability.
About the Author:
Daniel Živica is a Board Advisor specialising in EU AI Act and Enterprise Risk-to-Growth Diagnostics. Former CEO of WPP entities in Czech Republic and Slovakia with over two decades of corporate leadership, he is a Registered EU Expert (EU Funding & Tenders) and an active member of the European Commission’s Futurium Apply AI Alliance. He advises enterprise boards on fiduciary risk, regulatory defensibility and systemic AI governance at the intersection of resilience and autonomous technology.
