AI is already embedded in daily work, helping professionals move faster and improve outcomes. Yet while adoption is moving quickly, many organizations have not redesigned the workflows, governance models and operating structures needed to support it.
The Agentic Age begins when AI moves beyond individual assistance and starts supporting connected execution across workflows, teams and systems. That shift creates a new leadership question: where should AI assist, where can it act and where must humans retain judgment and accountability?
Based on a survey of 1,003 professionals, our report shows that teams are not asking for more AI tools. They are asking for less friction. They want AI to remove repetitive work, improve quality, accelerate execution and better connect work across teams and systems.
The challenge is not adoption. It is the operating model around AI. Most enterprises continue to struggle with disconnected workflows, fragmented systems and inconsistent governance, despite clear evidence that more integrated approaches already exist within parts of the organization.
What the data shows
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75% have not reached integrated or end-to-end AI-supported work
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Only 4.3% believe more AI pilots would unlock the most value
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85% want AI to take on more repetitive work
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79% want more time for judgment and higher-value work
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86% of professionals say AI has improved their productivity by at least 10%