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8-part seriesState-Of the Data Infrastructure 2026

Modern data infrastructure was built for BI dashboards. AI agents need something fundamentally different. This eight-part series makes the case — with evidence from platform internals, academic research, and original analysis — for a new architecture.

  1. 01The BI AssumptionHow modern data infrastructure was designed for dashboards, not agents
  2. 02The Database Landscape Is ShiftingWhat the database research community's own roadmap reveals about the future of data infrastructure
  3. 03The HTAP Bridge and Its LimitsWhy even the most advanced hybrid transactional/analytical systems are insufficient for AI-native workloads
  4. 04The AI Readiness CrisisThe quantified evidence that data infrastructure is failing AI at scale
  5. 05Five Unsolved ProblemsThe specific architectural gaps that no existing platform actually solves
  6. 06The Autonomous DataOps ThesisWhy assembling AI-ready infrastructure from point solutions is architecturally inferior to building it natively
  7. 07Sovereign AI and Sustainable ComputingThe environmental and geopolitical case for intelligent infrastructure
  8. 08A Proposal for AI-Native Data InfrastructureWhat AI-native data infrastructure looks like — from storage through compute to governance