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From Tools To Teammates: How Agentic AI Rewrites Work And Society

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Manage episode 519045731 series 3535718
Content provided by Kieran Gilmurray. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kieran Gilmurray 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.

The promise of autonomy just got practical. We explore how agentic AI moves beyond passive automation to become a goal-driven collaborator that plans, adapts, and coordinates at human and machine scale. From UPS’s ORION saving millions of miles to smart factories reducing downtime and energy use, we lay out the concrete ways agents optimise complex systems while staying aligned with human oversight.

TL;DR;

  • Defining agentic AI through goals, autonomy, learning, reasoning, and collaboration
  • Manufacturing shifts to predictive, dynamic operations
  • Precision agriculture and resource-efficient inputs
  • Smart grids balancing renewables, storage, and demand
  • Labour market change and reskilling needs
  • Ethics, transparency, and the EU AI Act
  • A phased, governed roadmap for adoption

Across sectors, the patterns repeat: precision agriculture uses sensors and imaging to fine-tune inputs in real time; smart grids balance renewables, storage, and demand to keep power stable; research teams accelerate discovery by screening vast chemical spaces and designing better experiments; creatives partner with agents that riff on styles, structure ideas, and expand the canvas without replacing human taste. We unpack the five pillars that make this possible—goal orientation, autonomous decisions, learning and adaptation, complex reasoning, and collaboration—so you can recognise genuine capability and spot hype.
We also confront the tough trade-offs. Jobs will change, which makes reskilling and mobility essential. Governance must keep pace, with risk-based rules, transparency, and strong safety cases for high-impact deployments. Privacy and data sovereignty demand encryption, auditability, and clear accountability. And for those worried about cost or complexity, we show how cloud platforms, pre-trained models, and no-code tools lower barriers so even lean teams can run meaningful pilots and prove ROI.
If you want a pragmatic path into autonomy—one that pairs ambition with control—this conversation maps the milestones: pick outcome-centric use cases, start small, build human-in-the-loop guardrails, measure impact, and scale responsibly. Subscribe, share with a colleague who’s planning an AI pilot, and leave a review with the one question you want us to tackle next.
Why not buy the book on Amazon or the audio book from Audible.com?
Support the show

𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses.
☎️ https://calendly.com/kierangilmurray/results-not-excuses
✉️ [email protected]
🌍 www.KieranGilmurray.com
📘 Kieran Gilmurray | LinkedIn
🦉 X / Twitter: https://twitter.com/KieranGilmurray
📽 YouTube: https://www.youtube.com/@KieranGilmurray
📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

  continue reading

Chapters

1. The Autonomous Era Arrives (00:00:00)

2. What Makes An AI Agentic (00:00:58)

3. Manufacturing Transformed (00:05:21)

4. AI In Fields And Grids (00:07:25)

5. Research And Creative Frontiers (00:10:00)

6. Society, Ethics, And Law (00:12:48)

7. Skeptics And Misconceptions (00:14:25)

8. A Measured Path Forward (00:18:08)

165 episodes

Artwork
iconShare
 
Manage episode 519045731 series 3535718
Content provided by Kieran Gilmurray. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kieran Gilmurray 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.

The promise of autonomy just got practical. We explore how agentic AI moves beyond passive automation to become a goal-driven collaborator that plans, adapts, and coordinates at human and machine scale. From UPS’s ORION saving millions of miles to smart factories reducing downtime and energy use, we lay out the concrete ways agents optimise complex systems while staying aligned with human oversight.

TL;DR;

  • Defining agentic AI through goals, autonomy, learning, reasoning, and collaboration
  • Manufacturing shifts to predictive, dynamic operations
  • Precision agriculture and resource-efficient inputs
  • Smart grids balancing renewables, storage, and demand
  • Labour market change and reskilling needs
  • Ethics, transparency, and the EU AI Act
  • A phased, governed roadmap for adoption

Across sectors, the patterns repeat: precision agriculture uses sensors and imaging to fine-tune inputs in real time; smart grids balance renewables, storage, and demand to keep power stable; research teams accelerate discovery by screening vast chemical spaces and designing better experiments; creatives partner with agents that riff on styles, structure ideas, and expand the canvas without replacing human taste. We unpack the five pillars that make this possible—goal orientation, autonomous decisions, learning and adaptation, complex reasoning, and collaboration—so you can recognise genuine capability and spot hype.
We also confront the tough trade-offs. Jobs will change, which makes reskilling and mobility essential. Governance must keep pace, with risk-based rules, transparency, and strong safety cases for high-impact deployments. Privacy and data sovereignty demand encryption, auditability, and clear accountability. And for those worried about cost or complexity, we show how cloud platforms, pre-trained models, and no-code tools lower barriers so even lean teams can run meaningful pilots and prove ROI.
If you want a pragmatic path into autonomy—one that pairs ambition with control—this conversation maps the milestones: pick outcome-centric use cases, start small, build human-in-the-loop guardrails, measure impact, and scale responsibly. Subscribe, share with a colleague who’s planning an AI pilot, and leave a review with the one question you want us to tackle next.
Why not buy the book on Amazon or the audio book from Audible.com?
Support the show

𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses.
☎️ https://calendly.com/kierangilmurray/results-not-excuses
✉️ [email protected]
🌍 www.KieranGilmurray.com
📘 Kieran Gilmurray | LinkedIn
🦉 X / Twitter: https://twitter.com/KieranGilmurray
📽 YouTube: https://www.youtube.com/@KieranGilmurray
📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

  continue reading

Chapters

1. The Autonomous Era Arrives (00:00:00)

2. What Makes An AI Agentic (00:00:58)

3. Manufacturing Transformed (00:05:21)

4. AI In Fields And Grids (00:07:25)

5. Research And Creative Frontiers (00:10:00)

6. Society, Ethics, And Law (00:12:48)

7. Skeptics And Misconceptions (00:14:25)

8. A Measured Path Forward (00:18:08)

165 episodes

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