MATC Quick Take: Practical ideas for organizations navigating change.
Who will thrive in an AI-powered workplace?
Many people assume it will be the employee with the deepest expertise or the strongest technical skills. Those qualities will always matter. But AI rewards something else that organizations have often overlooked: consistency.
Think about the employees everyone relies on. They document decisions, use standard terminology, follow established processes, and update procedures when something changes. They aren’t just completing today’s work, they’re making tomorrow’s work easier.
AI benefits from those habits.
When documentation is current, processes are repeatable, and information is organized, AI can generate more accurate answers, produce more reliable recommendations, and help employees work more efficiently. When information is scattered, outdated, or contradictory, AI simply reflects that confusion back to its users.
That challenge is already showing up in organizations’ AI efforts. According to a 2024 IBM Institute for Business Value survey, only 29% of technology leaders strongly agreed that their organization’s data met the quality, accessibility, and security standards needed to efficiently scale generative AI.
In other words, AI may be advancing quickly. The information organizations expect it to use isn’t always keeping up.
This isn’t just an AI issue. Consistency has always reduced errors, simplified training, and improved collaboration. The difference is that AI magnifies both the strengths and weaknesses of an organization’s knowledge.
That means the employees creating the greatest long-term value may not be the ones who know the most, but the ones who make their knowledge usable by others.
Organizations often celebrate the employee who can solve any problem from memory. But if that expertise never becomes part of your documented processes, it remains difficult for coworkers—and impossible for AI—to learn from.
As AI becomes a larger part of everyday work, the most valuable employees won’t simply be experts. They’ll be people who capture knowledge, improve processes, and make information easier for everyone to find and understand.
Experience creates knowledge. Consistency turns that knowledge into an organizational asset.
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References
Jonker, Alexandra. “What is AI-ready data?” IBM. 2024. Accessed 8/10/26. https://www.ibm.com/think/topics/ai-ready-data