As a former Intel employee, I can tell you that there is an aura in working there. Every week I ran the global CTO office for McAfee under the Intel banner (McAfee sold to Intel in 2010 for $7.78Bn) I felt the burden to live up to their legacy. They had built an incredible brand and mystique that created a near monopoly of chip manufacturing, especially in the US. And they had achieved that feat over decades of disciplined structure and process buildout but the story is in the backstory. But many have not been privy to their stutter steps.
In 2007, Intel’s CEO turned down the chance to build the chip for the original iPhone. He thought the price was too low and it may be the most expensive “no” in the history of technology. But the irony is that Intel kept saying it for fifteen more years. The company’s fall wasn’t bad luck. It was a concretized cognition that could only see one future.
The decision
Paul Otellini said it himself, on his way out the door in 2013: “There was a chip that they were interested in that they wanted to pay a certain price for and not a nickel more, and that price was below our forecasted cost.” In hindsight, he admitted, “the forecasted cost was wrong and the volume was 100x what anyone thought” — “the world would have been a lot different if we’d done it.” Intel protected its margin and ceded mobile.
Then it ceded manufacturing. Around 2015 Intel bet its 10nm process on aggressive multi-patterning with old Deep Ultraviolet (DUV) lithography rather than moving to Extreme Ultraviolet (EUV). The bet failed, 2017 slipped to 2018 slipped to 2019, and TSMC, which had committed to EUV, sailed past into the process lead Intel had held for a generation.
Then it ceded AI. Intel bought Nervana in 2016 to build deep learning chips, then of course shortly after shelved it, bought Habana in late 2019, ran competing roadmaps, and never produced anything that threatened Nvidia, whose GPUs and CUDA ecosystem became the foundation of the entire AI era.
Pat Gelsinger returned in 2021 as the engineer-savior with “five nodes in four years” (5N4Y) and an all-in foundry bet. Instead, after massive capital drains and little to show for it, by December 2024 the board had forced him out. In 2025 the foundry lost $10.3 billion, and the new CEO Lip-Bu Tan cut headcount from roughly 125,000 toward under 100,000 and then to 85,100.
The team’s cognitive composition
For most of this period, Intel’s leadership was grown from the inside. A nearly closed circle of engineers and operators steeped in the x86 franchise and the integrated-device-manufacturer faith: design and fabricate under one roof, defend the margin, and the moat takes care of itself. That cognition wasn’t stupid, it won the PC era and printed money for two decades. But it was a monoculture. Every disruption arrived disguised as a low-margin distraction (e.g. a phone chip too cheap to bother with, a graphics card for gamers, an “accelerator” for a niche called machine learning) and a room that all thought the same way reached the same verdict each time: not our market, not our model, not a threat. And I lived this culture myself.
The tell isn’t any single miss. It’s that the misses rhyme. Otellini protecting margin in 2007 and the leadership defending the integrated model through the 2010s are the same cognition, a decade apart, producing the same blind spot.
What a Decision Simulation would have surfaced
Run any one of these calls through a Decision Simulation and the pattern lights up. Load the room as cognitive vectors and they cluster tightly on margin defense and integration-as-moat, with near-zero coverage on disruption-from-below. The stress test isn’t “is the iPhone chip profitable today?” it is “who in this room is modeling the world where the low-margin entrant owns the volume, the volume funds the process lead, and the process lead laps us?” If the answer is “no one, because no one here thinks like the disruptor,” the simulation flags the blind spot in 2007, when it’s cheap to fix, not in 2024, when it costs the company. Notice who Intel’s board finally hired in 2025: Lip-Bu Tan, a disciplined capital-allocator from outside the x86 priesthood. The missing cognition, installed fifteen years late.
The lesson
To be fair, Gelsinger’s 18A node did ship, and Tan may yet make the foundry work — that verdict is still open. But the open question isn’t the point. A company does not lose mobile, GPUs, and AI in a row by accident. It loses them by composing a leadership team so aligned, so fluent in the worldview that won last time, that the room mistakes consensus for foresight. Intel didn’t miss the future for lack of engineers, capital, or warning. It missed the future because everyone at the table saw it through the same lens: a single lens, however sharp, has a blind spot exactly where the next thing comes from.
Don’t let the market caps fool you. As executives around the globe clamor to embrace AI, those that look to inserting AI simulations to predict future decision success may be the most human choice possible.