Big Tech’s AI safety rift signals disruption and disparity for enterprises

Meta's Zuckerberg calls for neutral evaluators; Amodei and Altman argue for caution — creating divergent safety philosophies

Gartner analyst: 'Divergent safety approaches will make access to advanced AI models less predictable' — different release schedules, regional availability, access tiers across vendors

Kanerika CRO: 'Frontier model now behaves more like a critical component from a supplier whose delivery dates depend partly on outside reviewers and export rules'

Analyst consensus: enterprises should assume model unavailability or replacement mid-production; untested model substitution now ranks above vendor lock-in as a risk

Emerging 'AI assurance' layer from third-party evaluators, but single certification unlikely to satisfy enterprise risk; CIOs advised to run own validation

Multi-vendor strategies now require routing layers between applications and models to enable switching as configuration work, not re-architecture

Security pressure building regardless of slowdown: open-source models already deployed; slowing only some vendors unlikely to change adversary capability