How can IT leaders help their teams understand evolving role expectations in an AI-driven enterprise and build confidence in acquiring new capabilities?

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CIO in Services (non-Government)a day ago

We use Copilot as our platform, with defined guardrails and governance. We encourage experimentation and are now seeing hundreds of bots created by citizen developers. We’re also investing in deep learning at the center, growing our own talent due to the high cost of hiring externally.

CIO in Educationa day ago

Once you have an ecosystem in place, building agents with the new tools available is straight forward. Build, deploy, and then perfect the AI agents. The more people who play into it, the better, especially if we can make it standardized.

Director of IT in Finance (non-banking)a day ago

AI isn’t restricted to IT, so this should apply to general leadership questions. In regulated environments, risk aversion makes experimentation difficult. Roles are evolving quickly. What’s possible with large language models today is very different from six months ago. Leaders must allow experimentation and accept failure, with proper guardrails in place. 

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Brand or reputational damage to the company 12%

Loss of institutional knowledge 32%

Inconsistent AI output quality 30%

Lower staff morale 18%

Employee attrition 2%

Unforeseen AI costs 2%

None – risks are minimal 2%

Other2%

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Strongly agree10%

Agree44%

Neutral29%

Disagree16%

Strongly disagree

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