Alok Chanani, BuildOps CEO and U.S. Army veteran, is reshaping how commercial contractors run their businesses and build what lasts.
getty
For years, we treated intelligence like something you earned slowly and guarded carefully. AI is exposing how much of that belief was really just scarcity.
By the time this article I'm writing reaches you, the technology will have already moved in leaps and bounds. Things genuinely considered impossible, or at least years away, are now table stakes. Meta is structuring new AI engineering teams with up to 50 individual contributors to a single manager—the premise being that AI closes the coordination gap that once required layers of people. A single person, with the right AI tools, can now produce what used to require a team. The productivity gains are as impressive as they are, frankly, disorienting.
As exciting as all this progress is, and it is exciting, it's also a moment to stop and reckon with something incredibly consequential: AI isn't just changing what we can do. It's forcing us to rethink what we define as intelligence.
We've always treated intelligence like a scarce resource. We revered the expert with 20 years of hard-won judgment who could walk into a complex situation and know the right move instantly.
That scarcity gave it power. You couldn't manufacture it. You couldn't transfer it. You either put in the time, or you didn't.
AI is humbling that assumption.
Every leader running a serious business right now is asking some version of the same question: What does this actually change about how we create value? What does this mean for the work itself, for the people doing it and for what we're actually building toward? They're the kind of questions that require you to set aside what you've built and ask whether the foundation still holds.
The pressure to adopt, to integrate and to show results is real. But here's the challenge: You can deploy the tools, hit the milestones, check the boxes and still miss the point entirely.
What AI is actually doing, and what it will keep doing, is surfacing reality faster than ego can protect itself from it. The data doesn't care about your institutional knowledge. The customer wants the right answer, at the right time, from whoever can give it to them.
AI exposed the old problems we've been papering over: data scattered across systems, institutional knowledge living in one person's head and decisions that should have been faster and weren't. AI didn't create those gaps. It made them impossible to ignore.
I keep coming back to this question: If the gap between novice and expert can compress that fast—if someone earlier in their career can now do work that once required decades of experience, because AI is surfacing the right information at the right moment—then what were we actually measuring when we called something intelligence?
Access to information? Time in seat? Pattern recognition that a machine can now replicate in milliseconds? The answer is uncomfortable. And it should be. Because it means a lot of what we've called expertise was really just proximity to data, and the barriers that kept that data scarce are coming down fast.
Still, access to better tools doesn't make a mediocre thinker a sharp one. The people who will thrive in this moment are the ones who are capable, adaptable and willing to move fast whether they have two years of experience or 20. What AI is stripping away is the scaffolding that let tenure substitute for capability.
Value can no longer be measured in years. It should be measured in judgment, speed and the willingness to keep learning. AI just made that standard impossible to ignore.
Deep judgment still matters. Earned experience still matters. The ability to make a hard call under pressure—that's real, and AI doesn't replace it. But a lot of what we built around those things—the credentialing, the gatekeeping and the assumption that time served equals wisdom gained—was never the intelligence. That was the scaffolding.
AI is removing the scaffolding. And we're learning, fast, which parts were actually the wisdom.
That distinction between the friction and the wisdom is the single most important thing every leader needs to get right in this moment. Because it changes what you build around.
Henry Ford didn't invent the car; he industrialized it. Jeff Bezos didn't invent retail; he saw what the internet made possible and rebuilt the entire logic of commerce around it. In both cases, the leaders who understood the shift early set the terms of what came next. The ones who treated it as a channel addition rather than a structural change spent the following decade catching up to someone who understood it as a new operating reality.
We are in that moment again. The industrial revolution redefined physical leverage. The internet redefined information access. AI is redefining cognitive leverage, what a single person, a single team or a single company can think through, decide and execute.
And that means the most important question facing every leader right now isn't a technology question. It's a definition question: What do you actually mean when you say someone is smart, experienced or valuable? Because if the answer is still "they've been here the longest" or "they know things nobody else knows," that definition has an expiration date.
If you get this right, you will stop measuring value in years and start measuring it in judgment and in the ability to take better information and make faster, sharper calls. You’ll hire differently. Promote differently. Build teams that move at the speed the tools now make possible.
Get this wrong and you’ll keep protecting structures that were never about intelligence in the first place. And you’ll be outrun by someone who figured that out sooner.
It's long past time to ask yourself: When you say you value intelligence in your organization, what are you actually valuing? AI just made that an urgent question.
Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。