Enterprise AI contracts are consistently structured in ways that favour AI vendors rather than enterprise buyers — not through deliberate unfairness but through the asymmetry between vendor legal sophistication and enterprise AI procurement maturity.
DORA compliance is routinely justified on regulatory grounds — the cost of non-compliance exceeds the cost of the programme. This is a sufficient justification but not the strongest one. The operational resilience capability that DORA requires has business value well beyond avoiding fines.
Enterprise AI deployments fail to scale for a consistent set of architectural reasons that could have been identified and addressed before the scaling investment was committed. This is the readiness checklist that surfaces those gaps.
KubeCon EU 2026 produced clear signals about the convergence of cloud-native infrastructure and AI workload requirements. Three themes have specific architectural implications for enterprise teams planning AI infrastructure investment.
Most enterprises with significant multi-cloud spend have immediate savings opportunities that remain unrealised because they lack the structured process to find them. This 30-day framework produces actionable findings within a single month.
Data sovereignty has moved from a compliance consideration to a cloud strategy determinant for European enterprises. This is an unfiltered Field CTO perspective on what it actually means for architecture decisions, vendor selection, and the board conversation that needs to happen.
Platform engineering has been declared a priority in most large enterprises. The maturity of those programmes is significantly lower than the declarations suggest. This is the honest maturity assessment grounded in direct observation across EMEA.
Vendor lock-in risk has changed character in 2026. Traditional lock-in risks are now overshadowed by regulatory lock-in and AI vendor dependency that require different contractual protections than the standard procurement playbook provides.