Intel Just Retired a 44-Year-Old Title. The Real Reason Should Change How You Manage Talent.

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When I was leading the strategy group at HP in Palo Alto, we had people in our R&D lab with the title “Fellow.”  It was distinguished title, meaning they were seasoned veterans with deep technical knowledge. Other companies in Silicon Valley used this title too in the same way. 

Fast forward a couple decades. Intel just scrapped the title it’s used for 44 years. The replacement title: Distinguished Engineer. 

Intel’s chief technology officer told employees that technical leadership now requires deep expertise, disciplined execution, and measurable progress. Companies such IBM continue to use the title Fellow, and actually place it above Distinguished Engineer. This makes Intel’s decision to eliminate the more prestigious designation even more notable. 

Companies have paid a premium for people who possessed knowledge that few others had. Artificial intelligence is upending all that. 

It’s easy to dismiss this change as cost-reduction. The real message involves how Intel is redefining the value of expertise. 

If AI can supply expert-level knowledge whenever you need it, what should an organization ask of, and then reward its experts for? 

Why Knowledge Alone Is Losing Value 

Throughout most of the past century, specialized knowledge was difficult to obtain and costly to replace. That scarcity gave an engineer who understood material science, biology, and physics enormous value. 

AI undermines expert knowledge. IQ is no longer a differentiator. 

AI can retrieve, summarize, and generate expert-level information in seconds. It can run analyses on complex data sets. And more. 

But it can’t necessarily make strategic decisions or judgment calls, nor should it. In fact, because of AI, IQ is being replaced as what’s valued. Now it’s experience, which includes solid judgment.  

Intel’s New Test for Technical Leadership 

While I worked for HP, the company reserved its Fellow title for a select group of technical luminaries with their own career path. The role recognized scientific distinction and allowed exceptional engineers to guide the company without becoming people managers. This was sometimes a good thing given many of these brainiacs weren’t necessarily interested in leading teams. 

Intel just upped the expectation. Domain knowledge must result in real value. Strategic vision must produce measurable progress. Expertise still matters but results are the goal. 

That’s where experience becomes most valuable. Experience develops judgment: knowing which information matters, recognizing what the situation requires, and deciding when to act. 

I call this experiential intelligence in my latest book. It’s the ability to apply lessons gained through years of being in the trenches and making real decisions. With AI gaining steam, specialized knowledge is now just table stakes. Judgment from experience is what converts it into real results. 

Your Reward System Needs to Catch Up 

Intel is part of a broader change. Amazon CEO Andy Jassy asked the company to increase its ratio of individual contributors to managers by at least 15 percent. He said he wanted fewer managers trying to put their fingerprint on everything. The shift favored the people performing the work rather than those overseeing it. 

The data points in the same direction. Public companies continue to reduce manager headcount. According to Gallup, the typical manager now has about 12 direct reports, compared with 11 a year earlier. 

As organizations flatten, people who can translate information and strategy into sound decisions without another management layer become even more valuable. 

Here’s how to approach this: 

1. Identify the decisions where experience matters most. Pinpoint the technical decisions with the greatest impact on strategy, risk, innovation, and customers. Give seasoned experts clear authority over those calls, with AI strengthening their analysis while accountability remains with the person. 
2. Create experiences that deliberately build judgment. As AI takes over routine work, give emerging experts stretch assignments, customer exposure, rotations, and postmortem reviews where they must make and learn from real decisions. Otherwise, you may eliminate the experiences that develop your next generation of experts. 
3. Reward experts for measurable business impact. Base advancement and compensation on evidence such as better decisions, avoided risks, faster execution, successful innovation, and knowledge transferred to others. Give top experts influence and rewards comparable to senior managers without requiring them to manage a team. 

Intel removed one word from its technical ladder. The lesson is much bigger: when answers are everywhere, the experts you need most can identify the one answer that deserves action.