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Reading: I left consulting to start educating at Dartmouth proper earlier than the discharge of ChatGPT. Disruption is all the time messy—and there is all the time a twist | Fortune
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Asolica > Blog > Business > I left consulting to start educating at Dartmouth proper earlier than the discharge of ChatGPT. Disruption is all the time messy—and there is all the time a twist | Fortune
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I left consulting to start educating at Dartmouth proper earlier than the discharge of ChatGPT. Disruption is all the time messy—and there is all the time a twist | Fortune

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Last updated: November 29, 2025 2:09 pm
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I left consulting to start educating at Dartmouth proper earlier than the discharge of ChatGPT. Disruption is all the time messy—and there is all the time a twist | Fortune
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Contents
  • 1. Disruption typically begins in sudden locations
  • 2. The key sauce of disruption is a singular solution to create, seize, and ship worth. 
  • 3. Disruption is all the time messy within the center.
  • 4. There’s typically a twist within the story
  • 5. It’s all in regards to the folks

In July 2022, I made a profession pivot from consulting to educating. Past being intrinsically fascinating and rewarding, I believed educating would offer a respite after nearly twenty years of day by day hand-to-hand fight with issues, shoppers, and, sometimes, colleagues. Then, in November 2022, OpenAI launched the primary model of ChatGPT. It shortly turned clear that synthetic intelligence (AI) may radically reshape my new business, my previous one, and lots of others. 

Over the past three years, I’ve been actively experimenting with AI via a course I created referred to as “AI and Consultative Decision Making.” In parallel, I wrote the guide Epic Disruptions, which concerned conducting deep historic analysis into case research of world-changing improvements starting from gunpowder to Pampers disposable diapers.

One of many themes that emerged from my analysis is that disruptive change is predictably unpredictable. There are broad patterns, however as a result of there are people and complicated techniques concerned, there are sudden twists and turns in each story.

Because the saying goes, historical past could not repeat, but it surely definitely rhymes. There are 5 historic classes that appear pertinent to how AI may—or couldn’t—drive epic disruptive change.

1. Disruption typically begins in sudden locations

Within the Forties, Walter Bradeen, John Brattain, and William Shockley from Bell Labs developed a brand new know-how referred to as the transistor. The intent of their analysis effort was to develop a know-how to exchange vacuum tubes that powered communications networks. The transistor had clear advantages. It was small, rugged, and didn’t give off warmth. Nonetheless, early variations have been additionally unreliable and required rearchitecting techniques. 

It took many years for transistors to make it into communications networks. The primary business market was listening to aids. The transistor match completely available in the market. Listening to aids have been comparatively easy, making it straightforward to include transistors. Vacuum tubes gave off warmth, which made battery packs affixed to a belt uncomfortable. Tubes burned out, making the whole price of proudly owning a listening to support costly. The transistor-based listening to support market exploded, supporting additional technological growth that finally ushered within the fashionable communications and computing age.

We naturally concentrate on the event and deployment of AI in massive, subtle markets like america or Western Europe. Nonetheless, one driver of ChatGPT’s speedy development is utilization in rising markets that lack strong well being and training infrastructures. Shoppers don’t ask, “How does AI compare to a skilled teacher or clinician?”; they ask, “Is AI better than nothing at all?” Historical past suggests rigorously inspecting rising market developments to identify disruptive change early. 

2. The key sauce of disruption is a singular solution to create, seize, and ship worth. 

When Mac and Dick McDonald first opened their restaurant, it was unremarkable. The trail to disruption began after they shut the restaurant in 1948 and unveiled the “Speedee Service System” that simplified and standardized meals manufacturing. When Ray Kroc turned in essence the grasp franchisor of the idea in 1954, he and his group architected a singular system that concerned shut partnership with franchise homeowners. Within the Nineteen Sixties, Heny Sonneborn perfected a mannequin that allowed the McDonald’s Company to revenue via actual property. The distinctive means that McDonald’s created, delivered, and captured worth—its enterprise mannequin—allowed it to serve billions profitably.

A singular enterprise mannequin is the key sauce of disruptive innovation. It’s what allowed Amazon.com, Google, and Netflix to emerge as powerhouses three many years in the past. Distinctive enterprise fashions present funding for additional enchancment and frustrate incumbent response. 

Proper now, main labs like OpenAI and Anthropic are following enterprise fashions which might be neither novel nor tough for know-how firms like Amazon, Microsoft, or Google to observe. If the labs don’t develop distinctive methods to create, seize, and ship worth, historical past suggests they’re more likely to have finite lives as standalone suppliers.

3. Disruption is all the time messy within the center.

Within the Nineteen Twenties, a battle broke out for the soul of the streets of many main US cities. Henry Ford had achieved his imaginative and prescient: the automobile for the “great multitudes.” Perfecting the meeting line introduced the price of Ford’s Mannequin T from $30,000 (in in the present day’s phrases) in 1908 to $5,000. Gross sales soared. 

It’s all the time messy in the midst of disruptive change. Getting out of the automotive’s center required applied sciences similar to site visitors alerts, laws similar to the necessity for drivers to have licenses, and norms, similar to right-of-way at intersections.

By this lens, a push to reduce guidelines and regulation is misguided because it elongates the time in AI’s messy center and will increase the percentages of hurt. Futurists Bob Johansen and Jamias Cascio be aware that it’s exhausting to set exact guidelines in markets rising as shortly as AI, so counsel the metaphor of a “bounce rope” in a wrestling ring. There are agency ring posts and bounds on the fringe of the ring, however these boundaries have slack and provides in them.

4. There’s typically a twist within the story

When Johannes Gutenberg and his group sought an early buyer for the printing press, they naturally turned to the Catholic Church. The Church had actual issues to resolve, similar to standardizing missals used for church companies and shortening the three years it took at hand scribe a Bible. When Enea Silvio Piccolomini, who went on to turn into Pope Pius II, noticed a Gutenberg Bible in 1454 he praised their “very neat and legible script” and famous how they may very well be learn “without the use of glasses.” 

The Church didn’t foresee what occurred subsequent. The printing presses accelerated the power for folks like Martin Luther to unfold concepts attacking the Church. A 3rd of the books printed in Germany between 1518 and 1525 have been from Luther. The printing press was a boon to some—scientists, revolutionaries, entrepreneurs who constructed companies round it—and a curse to others: scribes, cardinals, and anybody else who profited from ignorance.

Administration consulting firms have profited handsomely from AI-related work. In early 2024 Boston Consulting Group stated that 20 % of its revenues was AI-related. McKinsey touted the way it was utilizing its custom-created AI resolution to spice up its productiveness and speed up growing distinctive impression. What if, nevertheless, shoppers learn to use AI in ways in which obviate consultants? Or if AI reliance withered a consulting firm’s capacity to develop distinctive expertise? May the most important consulting firms have a look at AI the identical means the Church seemed on the printing press?

5. It’s all in regards to the folks

Singapore’s DBS Financial institution is a outstanding story of transformation (detailed in my 2020 guide Eat, Sleep, Innovate). In 2010, it was a laggard in its native market. In 2025, DBS was well known for its nimbleness and digital prowess.

The identical is true of AI. Adoption will not be a technological drawback; it’s a sociological and cultural one. Jim Wilson from Accenture estimates that for each greenback firms spend on know-how, they need to anticipate to spend six {dollars} on the human facet of change.

* * *

One recurrent lesson that struck me in the course of the analysis and writing of Epic Disruptions is how historical past supplies a singular solution to make sense of a sophisticated current. Disruption is predictably unpredictable, so AI will certainly break from a few of these patterns. Nonetheless, the previous supplies a information for the place to look and what to search for to make sense of what’s going to occur subsequent.

The opinions expressed in Fortune.com commentary items are solely the views of their authors and don’t essentially replicate the opinions and beliefs of Fortune.

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