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Ep 648: How 74% of Enterprises Get Real ...

Everyday AI
About this episode

Is it AI failure or AI success? 🤔

We see massive trillion dollar valuations for AI companies, yet constant ‘AI bubble’ bust stories. 

And we see stories playing out in the media that say AI is both an enterprise boon and a complete waste of time. 

Welp…. A new study from Wharton will hopefully put this to rest. 

Among other things, it shows that 74% of companies see a positive ROI on AI and also lays out the roadmap to debunk all the naysayers along the way. 

Join us as we dive in.

Ep 648: How 74% of Enterprises Get Real AI ROI While Pundits See Failure


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Topics Covered in This Episode:

  1. Wharton Three-Year GenAI ROI Study
  2. 74% Enterprises Achieve GenAI ROI
  3. Enterprise AI Success vs. Failure Narrative
  4. MIT Viral Study Debunked (95% Failure)
  5. Productive AI Focus: Boring Tasks Win
  6. Enterprise AI Training Crisis Analysis
  7. Executive vs. Manager AI Optimism Gap
  8. Skills Paradox: AI Use vs. Atrophy


Timestamps:
00:00 AI: Success or Failure?

03:41 "ROI Debate Over Generative AI"

08:27 "Grow Business with Generative AI"

12:19 "Study's Fatal Flaw Exposed"

16:28 AI Deployment Challenges and Insights

19:11 "Training Crisis in AI Adoption"

22:01 "Build an AI-Focused Team"

25:39 "AI's Impact on Human Skills"

29:00 "AI Adoption: Are You Ahead?"

31:43 "AI Era: Human Transformation Rules"

34:52 "AI Evaluation & ROI Insights"

37:07 "Subscribe, Share, Support Everyday AI"


Keywords:
AI ROI, enterprise AI success, generative AI, return on investment, Wharton study, 74% of enterprises, AI failure narrative, viral MIT study, 95% AI pilots fail, enterprise transformation, productivity gains, large language models, AI agents, back office automation, executive alignment, moonshot AI projects, specialized killer apps, legal contract review, HR recruitment, agentic AI, algorithmic trading, DeepSeek saga, OpenAI business customers, Nvidia valuation, technology adoption, formal ROI metrics, business linked metrics, top down AI implementation, training crisis, investing in people over technology, human potential, skills paradox, skill atrophy, 

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