AI ROI: Measure What Matters

AI in 60 Seconds | The 10-min Podcast

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We dive into the challenges companies face measuring AI's true value and why traditional ROI metrics miss the mark for this transformative technology.
• 7 out of 10 executives face board pressure to show AI ROI, with most measuring it incorrectly
• History repeating: AI's productivity paradox mirrors the PC revolution where gains took a decade to appear in statistics
• Super users achieve gains with teams of 5-10 specialized AI tools rather than waiting for one perfect solution
• Organizations seeing 25-35% workforce reductions in areas like customer service and content creation
• The "productivity leak" phenomenon: 72% of time saved by AI flows to quality improvements rather than additional throughput
• Three barriers to AI success: enterprise tool limitations, workflow friction, and skills gaps
• Successful organizations build "AI teams" rather than deploying individual tools
• Stop measuring AI purely on hours saved and start tracking transformation metrics
Visit https://roicalc.ai to explore expected productivity leak ranges for your company, and check out all our resources at AI4SP.org.
🎙️ All our past episodes 📊 All published insights | This podcast features AI-generated voices. All content is proprietary to AI4SP, based on over 250 million data points collected from 25 countries.
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Chapters

1. AI ROI: Measure What Matters (00:00:00)

2. The AI ROI Challenge (00:00:30)

3. Parallels to the PC Revolution (00:01:09)

4. Workforce Impact & Specialized AI Tools (00:01:37)

5. AI Teams in Scientific Research (00:03:45)

6. Building AI Teams vs. Single Tools (00:05:22)

7. Measuring Success Beyond Time Saved (00:06:39)

8. Three Critical Barriers to AI Value (00:08:16)

9. The Practical Path Forward (00:10:36)

10. Key Takeaways & Resources (00:12:48)