Report finds enterprise AI adoption paradoxical: 72% have production workloads yet 48% call it disappointing; accelerator funding bias toward general-purpose tools unproven as primary cause.

Seventy-two percent of enterprises have at least one AI workload in production, up from fifty-five percent in 2024, yet forty-eight percent describe their AI adoption as a massive disappointment and thirty-nine percent have no formal plan to generate revenue from AI investments.

Approximately seventy-three percent of AI venture funding in 2023–2024 flowed to foundation models, RAG platforms (software that retrieves relevant information to improve AI responses), and broad AI copilots rather than vertical-specific solutions; however, the report rates this pattern CORRELATED rather than CAUSAL, finding the causal direction unresolved between accelerator selection bias and founder supply dynamics following ChatGPT's late 2022 release.

Enterprise budget control fragmented between IT and procurement functions buying general-purpose AI platforms and line-of-business leaders holding separate budgets for revenue and cost metrics is identified as a mechanism that can explain the usage-versus-satisfaction paradox, rated MECHANISM pending empirical confirmation.