Dresner Advisory Flags Slowing AI ROI as Platforms Mature

Event summary

Dresner Advisory published five AI research reports on September 21, 2026, focusing on AI development platforms, ModelOps, and enterprise AI scaling.
AI development platforms are expanding to support end-to-end workflows, with average ROI at 18% but expected to slow as early wins become harder to achieve.
ModelOps is becoming critical for managing AI models at scale, especially with the rapid adoption of agentic AI.
Generative and agentic AI are converging, requiring organizations to assess overall AI maturity rather than individual AI types.
Enterprise AI is transitioning from pilots to production, necessitating alignment of platform architecture with organizational competencies.

The big picture

Dresner Advisory's research highlights a critical inflection point in AI adoption, where early wins are giving way to more complex challenges. As AI development platforms mature and ModelOps becomes essential, organizations must balance technological capabilities with operational readiness to maintain competitive advantages. The convergence of generative and agentic AI further complicates the landscape, requiring a holistic approach to AI strategy.

What we're watching

ROI Dynamics: How the slowing aggregate ROI for AI will impact investment priorities and strategic focus.
ModelOps Scaling: Whether organizations can sustain robust ModelOps practices as AI adoption expands.
AI Convergence: The pace at which generative and agentic AI will merge, affecting organizational AI strategies.