AI ROI: Measure What Matters

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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.

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