AI ROI: Measure What Matters

Share your thoughts with usWe 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 metricsVisit 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 1-billion data points from 70 countries.AI4SP: Create, use, and support AI that works for all.© 2023-26 AI4SP and LLY Group - All rights reserved