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The GenAI Divide: Why 95% of Businesses Are Missing the Mark

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Manage episode 501972633 series 3605175
Content provided by Global Supply Chain Council (GSCC). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Global Supply Chain Council (GSCC) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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In this episode of Supply Chain Deepdive, hosts Michael Jung and Jess Williams unpack the MIT NANDA report “State of AI in Business 2025,” which reveals a stark reality: 95% of companies are not realizing meaningful returns from their GenAI investments. Despite the hype, most enterprise-grade GenAI tools are falling short due to a lack of adaptability, memory, and contextual learning.

The episode explores:

  • The growing GenAI Divide between experimenters and value extractors
  • Why general-purpose tools like ChatGPT are thriving—but enterprise platforms are stalling
  • The critical role of workflow integration, agentic systems, and empowered line managers
  • Practical GenAI use cases actually delivering measurable ROI

We also touch on the rise of the Agentic Web and what this means for AI’s future in supply chain, procurement, and operations.

🎧 Listen now: www.deepdive.show

Support the show

Continue the Conversation on Chain.NET
Don't let the dialogue end here! Join Chain.NET, our vibrant online community for supply chain professionals worldwide. Engage with peers, share your insights, and explore further discussions on the topics covered in our podcast. Whether you’re seeking advice, looking to collaborate, or just wanting to connect with fellow experts, Chain.NET is your platform to deepen connections and expand your professional network.
🔗 Ready to dive deeper? Register now at https://mygs.cc/chain and be part of the global supply chain conversation.

  continue reading

55 episodes

Artwork
iconShare
 
Manage episode 501972633 series 3605175
Content provided by Global Supply Chain Council (GSCC). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Global Supply Chain Council (GSCC) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

In this episode of Supply Chain Deepdive, hosts Michael Jung and Jess Williams unpack the MIT NANDA report “State of AI in Business 2025,” which reveals a stark reality: 95% of companies are not realizing meaningful returns from their GenAI investments. Despite the hype, most enterprise-grade GenAI tools are falling short due to a lack of adaptability, memory, and contextual learning.

The episode explores:

  • The growing GenAI Divide between experimenters and value extractors
  • Why general-purpose tools like ChatGPT are thriving—but enterprise platforms are stalling
  • The critical role of workflow integration, agentic systems, and empowered line managers
  • Practical GenAI use cases actually delivering measurable ROI

We also touch on the rise of the Agentic Web and what this means for AI’s future in supply chain, procurement, and operations.

🎧 Listen now: www.deepdive.show

Support the show

Continue the Conversation on Chain.NET
Don't let the dialogue end here! Join Chain.NET, our vibrant online community for supply chain professionals worldwide. Engage with peers, share your insights, and explore further discussions on the topics covered in our podcast. Whether you’re seeking advice, looking to collaborate, or just wanting to connect with fellow experts, Chain.NET is your platform to deepen connections and expand your professional network.
🔗 Ready to dive deeper? Register now at https://mygs.cc/chain and be part of the global supply chain conversation.

  continue reading

55 episodes

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