ChatGPT & Copilot Are Creating a BIG Problem for Managers
リアクション
2026年08月26日
ChatGPT and Microsoft Copilot were supposed to make managers and corporate teams more productive. But what happens when AI starts creating more reports, longer emails, polished presentations and analysis that managers now have to review, verify and sometimes correct?
In this video, I share the experience of a senior Program Manager with 17 years of experience who manages developers, testers, architects and project managers. After generative AI tools such as ChatGPT and Microsoft Copilot became widely used across his team, he noticed an unexpected problem: AI was not always reducing managerial workload. In some cases, it was creating more work.
A one-page weekly update became a 12-page AI-generated report. A production root cause analysis looked impressive, but the engineer presenting it could not explain why one cause was more likely than another. Teams started sending beautifully written AI-generated emails instead of simply talking to each other.
This raises a much bigger question for organizations adopting AI:
Are we actually becoming more productive, or are we simply producing more content?
In this video, we discuss:
↳ ChatGPT and Microsoft Copilot in the workplace
↳ AI productivity versus actual business productivity
↳ Why managers need to verify AI-generated work
↳ AI hallucinations and incorrect information
↳ Employee accountability for AI-generated output
↳ Critical thinking in the age of generative AI
↳ Responsible AI adoption inside corporate teams
↳ AI governance and data security
↳ How managers should evaluate employees using AI
↳ Why AI usage should not automatically be treated as productivity
↳ The changing role of managers in AI-enabled organizations
AI can be an incredibly powerful productivity tool. But employees still need judgment, domain knowledge, critical thinking and accountability.
And managers now have an additional responsibility: managing not only people and their work, but also how AI is being used to produce that work.
If you are a manager, project manager, program manager, technology leader or corporate professional using ChatGPT, Microsoft Copilot or other AI tools at work, I would love to hear what you are experiencing.
Has AI genuinely reduced your workload, or has it created another layer of work that now needs to be checked?
Share your experience in the comments.
#ArtificialIntelligence #MicrosoftCopilot #ChatGPT #AIProductivity #futureofwork
==============
Connect with me on LinkedIn : https://www.linkedin.com/in/anand-vaishampayan-57b9aa3/
==============
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My Phone : https://amzn.to/3yRWzjG
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===============
Books I have read and Highly recommend:
How to win friends and influence people : https://amzn.to/3wB0q3d
Who moved my cheese? : https://amzn.to/3hxwQHs
Eat that frog : https://amzn.to/3hAlCSL
Rich Dad Poor Dad : https://amzn.to/2Vsdzyy
In this video, I share the experience of a senior Program Manager with 17 years of experience who manages developers, testers, architects and project managers. After generative AI tools such as ChatGPT and Microsoft Copilot became widely used across his team, he noticed an unexpected problem: AI was not always reducing managerial workload. In some cases, it was creating more work.
A one-page weekly update became a 12-page AI-generated report. A production root cause analysis looked impressive, but the engineer presenting it could not explain why one cause was more likely than another. Teams started sending beautifully written AI-generated emails instead of simply talking to each other.
This raises a much bigger question for organizations adopting AI:
Are we actually becoming more productive, or are we simply producing more content?
In this video, we discuss:
↳ ChatGPT and Microsoft Copilot in the workplace
↳ AI productivity versus actual business productivity
↳ Why managers need to verify AI-generated work
↳ AI hallucinations and incorrect information
↳ Employee accountability for AI-generated output
↳ Critical thinking in the age of generative AI
↳ Responsible AI adoption inside corporate teams
↳ AI governance and data security
↳ How managers should evaluate employees using AI
↳ Why AI usage should not automatically be treated as productivity
↳ The changing role of managers in AI-enabled organizations
AI can be an incredibly powerful productivity tool. But employees still need judgment, domain knowledge, critical thinking and accountability.
And managers now have an additional responsibility: managing not only people and their work, but also how AI is being used to produce that work.
If you are a manager, project manager, program manager, technology leader or corporate professional using ChatGPT, Microsoft Copilot or other AI tools at work, I would love to hear what you are experiencing.
Has AI genuinely reduced your workload, or has it created another layer of work that now needs to be checked?
Share your experience in the comments.
#ArtificialIntelligence #MicrosoftCopilot #ChatGPT #AIProductivity #futureofwork
==============
Connect with me on LinkedIn : https://www.linkedin.com/in/anand-vaishampayan-57b9aa3/
==============
Tools that I use:
My Phone : https://amzn.to/3yRWzjG
My Tripod : https://amzn.to/3r6d74W
My mic : https://amzn.to/3r7LHLP
My Laptop : https://amzn.to/36DP0Rv
===============
Books I have read and Highly recommend:
How to win friends and influence people : https://amzn.to/3wB0q3d
Who moved my cheese? : https://amzn.to/3hxwQHs
Eat that frog : https://amzn.to/3hAlCSL
Rich Dad Poor Dad : https://amzn.to/2Vsdzyy