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The Death of Organizational Charts in the AI Age

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Manage episode 508120179 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.

Traditional organizational charts are strangling AI adoption. Ruslan Tovbulatov, CMO of Gloat, makes a compelling case for why companies must radically rethink their approach to work structures if they want their AI strategies to succeed.

TLDR:

  • The org chart was built for the industrial revolution's command-and-control management style
  • AI implementation requires looking beyond job titles to focus on tasks and workflows
  • Retitling roles (e.g., content manager to content orchestration) creates the right mindset shift
  • AI removes limiting beliefs about capabilities โ€“ anyone can design, write, or code with AI assistance
  • Internal talent marketplaces allow work to be organized around outcomes rather than job descriptions

The fundamental problem? We're attempting to force cutting-edge AI capabilities into organizational models designed during the railroad era. These 19th-century hierarchies, with their rigid job titles and siloed departments, simply can't accommodate the fluid, task-oriented nature of effective AI implementation. When companies focus on what job titles they're replacing rather than what tasks need technological support, AI initiatives inevitably falter.
Ruslan advocates for a shift from traditional management to work orchestration. This means moving beyond static job descriptions to dynamic roles where employees coordinate between human capabilities and AI tools. Content managers become content orchestrators. Designers become design orchestrators. These aren't mere semantic changes but fundamental mindset shifts that empower employees to leverage AI as an amplifier of their talents.
Perhaps most excitingly, this approach democratizes previously specialized skills. No longer must someone say "I'm not a designer" or "I can't code." With AI assistance, these capabilities become accessible to anyone with the right orchestration mindset. This creates unprecedented opportunities for employee growth and organizational agility.
Companies like Standard Chartered and Schneider Electric are already demonstrating the power of this approach, using internal talent marketplaces to assemble teams based on skills and interests rather than job titles. Projects that once took years now complete in weeks. And as AI agents become increasingly capable teammates, even smaller organizations can benefit from this work orchestration approach.
Ready to reimagine your organization for the AI era? Start by questioning your assumptions about hierarchy, empowering your teams to orchestrate rather than just execute, and focusing relentlessly on work outcomes rather than organizational structure. Your AI strategy and your company's future may depend on it.

Read - The Death of the Org Chart: Why AI Will Fail Without This One Change

Support the show

๐—–๐—ผ๐—ป๐˜๐—ฎ๐—ฐ๐˜ my team and I to get business results, not excuses.
โ˜Ž๏ธ https://calendly.com/kierangilmurray/results-not-excuses
โœ‰๏ธ [email protected]
๐ŸŒ www.KieranGilmurray.com
๐Ÿ“˜ Kieran Gilmurray | LinkedIn
๐Ÿฆ‰ X / Twitter: https://twitter.com/KieranGilmurray
๐Ÿ“ฝ YouTube: https://www.youtube.com/@KieranGilmurray
๐Ÿ“• 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 Death of Org Charts (00:00:00)

2. Mindset Shift: From Titles to Tasks (00:04:23)

3. Content Orchestration vs. Content Management (00:06:31)

4. AI as Amplifier, Not Replacement (00:10:18)

5. Reverse Mentorship in the AI Era (00:16:21)

6. Work Orchestration and Internal Marketplaces (00:21:22)

7. Making Talent Marketplaces Work for All (00:27:02)

8. The Future of Human-AI Teams (00:31:15)

147 episodes

Artwork
iconShare
 
Manage episode 508120179 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.

Traditional organizational charts are strangling AI adoption. Ruslan Tovbulatov, CMO of Gloat, makes a compelling case for why companies must radically rethink their approach to work structures if they want their AI strategies to succeed.

TLDR:

  • The org chart was built for the industrial revolution's command-and-control management style
  • AI implementation requires looking beyond job titles to focus on tasks and workflows
  • Retitling roles (e.g., content manager to content orchestration) creates the right mindset shift
  • AI removes limiting beliefs about capabilities โ€“ anyone can design, write, or code with AI assistance
  • Internal talent marketplaces allow work to be organized around outcomes rather than job descriptions

The fundamental problem? We're attempting to force cutting-edge AI capabilities into organizational models designed during the railroad era. These 19th-century hierarchies, with their rigid job titles and siloed departments, simply can't accommodate the fluid, task-oriented nature of effective AI implementation. When companies focus on what job titles they're replacing rather than what tasks need technological support, AI initiatives inevitably falter.
Ruslan advocates for a shift from traditional management to work orchestration. This means moving beyond static job descriptions to dynamic roles where employees coordinate between human capabilities and AI tools. Content managers become content orchestrators. Designers become design orchestrators. These aren't mere semantic changes but fundamental mindset shifts that empower employees to leverage AI as an amplifier of their talents.
Perhaps most excitingly, this approach democratizes previously specialized skills. No longer must someone say "I'm not a designer" or "I can't code." With AI assistance, these capabilities become accessible to anyone with the right orchestration mindset. This creates unprecedented opportunities for employee growth and organizational agility.
Companies like Standard Chartered and Schneider Electric are already demonstrating the power of this approach, using internal talent marketplaces to assemble teams based on skills and interests rather than job titles. Projects that once took years now complete in weeks. And as AI agents become increasingly capable teammates, even smaller organizations can benefit from this work orchestration approach.
Ready to reimagine your organization for the AI era? Start by questioning your assumptions about hierarchy, empowering your teams to orchestrate rather than just execute, and focusing relentlessly on work outcomes rather than organizational structure. Your AI strategy and your company's future may depend on it.

Read - The Death of the Org Chart: Why AI Will Fail Without This One Change

Support the show

๐—–๐—ผ๐—ป๐˜๐—ฎ๐—ฐ๐˜ my team and I to get business results, not excuses.
โ˜Ž๏ธ https://calendly.com/kierangilmurray/results-not-excuses
โœ‰๏ธ [email protected]
๐ŸŒ www.KieranGilmurray.com
๐Ÿ“˜ Kieran Gilmurray | LinkedIn
๐Ÿฆ‰ X / Twitter: https://twitter.com/KieranGilmurray
๐Ÿ“ฝ YouTube: https://www.youtube.com/@KieranGilmurray
๐Ÿ“• 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 Death of Org Charts (00:00:00)

2. Mindset Shift: From Titles to Tasks (00:04:23)

3. Content Orchestration vs. Content Management (00:06:31)

4. AI as Amplifier, Not Replacement (00:10:18)

5. Reverse Mentorship in the AI Era (00:16:21)

6. Work Orchestration and Internal Marketplaces (00:21:22)

7. Making Talent Marketplaces Work for All (00:27:02)

8. The Future of Human-AI Teams (00:31:15)

147 episodes

All episodes

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