The Speed of AI Value Creation in Applications: What's Causing the Delay?

Description

This IDC Perspective discusses the speed of AI value creation in applications and what's causing the delay. The growing gap between the speed of AI innovation and the speed of enterprise value realization is now primarily an organizational challenge. The most significant bottlenecks to AI value creation revolve around organizations' ability to operationalize their AI, not in the underlying technology. "To help ensure that small incremental improvements give way to true innovation of business and operating models, enterprises need to intentionally redesign how AI is deployed, measured, governed, and scaled," said Eric Newmark, GVP/GM, SaaS, Enterprise Software, and Worldwide Services Division at IDC. "This will transform AI from simply facilitating isolated productivity gains to enabling sustained, enterprisewide streams of innovation and competitive advantage."

Product Code: US54259726

Executive Snapshot

Key takeaways
Recommended actions

Situation Overview

Vendor productization and monetization
Customer adoption
Operational transformation: Where AI value scales or stalls
Regulations, compliance, and trust
Product refinement
Shifting from a value drip to a value stream: Key questions enterprises should ask themselves
- What are our key criteria for successful AI deployment, and how will we measure value?
- What regulatory or governance concerns are essential to our AI adoption journey?
- Which operational blockers are preventing progress with AI and agentic solutions?
- What is preventing progress in AI adoption and use case development?
- How do we align vendor solutions with current and future requirements?