From Tribal Knowledge to AI-Powered SOPs | Modernizing Industrial Maintenance (6:07)
Explore how AI can help capture tribal knowledge and turn industrial maintenance expertise into clear, repeatable standard operating procedures.
Video by Humanity Innovation Labs.
Video length: 6:07. From tribal knowledge to AI-powered SOPs: explore a practical approach to modernizing industrial maintenance.
Recent Posts

By Stephanie Hubbard
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September 28, 2026
One of the most valuable things I’ve learned is that AI is only as useful as the knowledge we give it. Every small business has tribal knowledge. It lives in the heads of the people who have been there the longest—the person who knows which customer needs a different approach, why a certain process is done “that way,” how to solve a problem when the standard procedure doesn’t work, or simply has the intuition to know when something doesn’t look right. That knowledge is incredibly valuable. But it is also incredibly vulnerable.

By Jonathan Liebert
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September 2, 2026
For most of modern history, every major technological disruption has come with the same reassurance: we have been here before. The Industrial Revolution displaced physical labor, but it also created factories, industries and entirely new categories of work. Computers eliminated some jobs while creating software developers, IT departments, digital marketers and an information economy. The internet disrupted everything from newspapers to retail, while simultaneously creating businesses and professions we could barely have imagined a generation earlier. So when concerns about artificial intelligence and jobs arise, it is tempting to reach for the same familiar conclusion: technology changes work, people adapt, new industries emerge and ultimately we create something new. But on August 26, 2026, Bill Gates published an essay on GatesNotes titled “The Turbulent AI Era Is Here. The Choices We Make Now Are Critical .” In it, Gates makes a much more provocative argument about the moment we are entering. He warns that AI is not simply another chapter in the long history of technological disruption and that society is not adequately preparing for the transition ahead. One section of his essay is titled with five words that immediately caught my attention: “This time really is different.” That idea is the starting point for this essay. What follows is not an attempt to predict the future with certainty, nor do I agree automatically with every policy solution Gates proposes. Rather, his essay raises a set of questions that I believe business leaders, policymakers, educators, workforce leaders and communities need to wrestle with now:

By Jonathan A. Liebert
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August 19, 2026
Recently, I had the privilege of testifying before the U.S. Senate about artificial intelligence and its transformative impact on the modern workforce. It was an opportunity to discuss an issue that is quickly becoming one of the defining economic questions of our time: What is AI actually going to do to jobs? The conversation around artificial intelligence often gravitates toward extremes. On one side is the promise that AI will dramatically increase productivity and create entirely new industries. On the other is the fear that automation will eliminate millions of jobs. The reality emerging from the data is more complicated — and, in many ways, more interesting. Through leading the BBB AI Hub and training thousands of business owners, nonprofit leaders and workers on the responsible use of artificial intelligence, I have come to believe that AI literacy is increasingly becoming the difference between leverage and liability. I have watched people use AI to organize complex information, improve communication, accelerate research, analyze data and turn ideas into action faster than ever before. I have also watched people enter sensitive customer information into public AI systems, accept fabricated citations as fact, rely on biased or incomplete outputs and purchase products labeled “AI-powered” without really understanding what the technology does. The opportunity is enormous. But so is the responsibility. And nowhere is that becoming more evident than in the workforce.







