Businesses Temper Generative AI Deployment Expectations
Executives and surveys in 2024–2025 show companies are struggling to realize returns from generative AI, with Forrester’s Q2 survey of 1,576 executives finding just 15% reported improved profit margins and BCG reporting only 5% of 1,250 saw widespread value. Case studies from CellarTracker, Cando, Klarna and Verizon illustrate technical limits, inconsistency and human-preference tradeoffs, prompting firms to slow or rework AI deployments and defer spending into 2026.
Key Points
- 1Show declining ROI: surveys find 15% saw margin gains, 5% saw widespread AI value
- 2Expose model limitations: sycophancy, inconsistency, hallucinations hinder reliability in real-world tasks
- 3Force operational changes: firms delay spending, increase human oversight, and reformat data pipelines
Scoring Rationale
Industry-wide evidence of adoption struggles drives high impact, but limited novelty and no technical breakthrough.
Sources
Public references used for this report.
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