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Agentic AI Presents Mixed ROI and Value Measurement Challenges
Importance: 88/1004 Sources
Why It Matters
As organizations look to integrate advanced AI, understanding the nuances of agentic AI's actual ROI versus its perceived value and measurement difficulties is critical for informed investment decisions and successful enterprise-level deployment.
Key Intelligence
- ■Agentic AI faces a "value gap," with traditional ROI models often insufficient to capture its full benefits.
- ■Despite high anticipation, some reports indicate that broad productivity gains from AI agents are not yet widely realized.
- ■A contrasting survey of over 1,100 developers and CTOs reveals that AI agents are indeed delivering real ROI, especially when scaled.
- ■Specific industry examples, such as Bloomberg's ASKB, demonstrate agentic AI's potential in specialized, high-value applications.
- ■The evolving landscape necessitates new approaches to measuring and realizing the strategic value of agentic AI.
Source Coverage
Google News - AI & Models
2/23/2026Agentic AI has a value gap -- and the old ROI models won't close it - Information Week
Google News - AI & LLM
2/23/2026The AI Agent Hype Is Real. The Productivity Gains Aren’t - PCMag Australia
Google News - AI & Bloomberg
2/23/2026Meet ASKB: A First Look at the Future of the Bloomberg Terminal in the Age of Agentic AI - Bloomberg.com
Google News - AI & VentureBeat
2/23/2026