Despite vendor claims, 95% of AI implementations fail to achieve promised ROI. Entry-level positions see 20% reductions, yet successful cases demonstrate 20-30% cost reductions in finance. By 2030, AI could boost global GDP by $19.9T, but requires reskilling 59% of the workforce. The report presents evidence-based strategies for equitable AI adoption that balance efficiency gains with comprehensive human capital development strategies.
Apply this now
Practice prompt
Re-write your Beyond the Hype: AI's Impact on Business Outcomes prompt with explicit success criteria and critique instructions.
Try this now
Run the Analyzer pack twice (manual vs. AI) and compare the Overestimation Δ.
Common pitfall
Skipping reviewer verification time hides the real cost of rework and hallucinations.
Key takeaways
- •Run a manual vs. AI comparison to see actual lift.
- •Capture Overestimation Index and micro-TLX together.
- •Document what “good” looks like so teams can replicate it.
See it in action
Drop this into a measured run—demo it, then tie it back to your methodology.
Next Steps
Ready to measure your AI impact? Start with a quick demo to see your Overestimation Δ and cognitive load metrics.