What this story reveals about what lies ahead for many businesses — and those that will be ready for it.
Some stories are worth pausing for. Not because they are dramatic — although this one certainly is — but because they contain, in concentrated form, a mechanism that many business leaders will encounter in the years ahead.
Chegg is one of those stories.
A solid company, an established market
Chegg is an American online learning platform for college students. Founded in 2005 and publicly traded since 2013, it had built a profitable model around a simple idea: providing verified answers to millions of academic questions through a monthly subscription.
In February 2021, the company was valued at over $14 billion. It had millions of subscribers, growing revenues, and a database of more than 79 million solved problems. At that point, nothing suggested a collapse was coming.
What happened
On November 30, 2022, OpenAI launched ChatGPT. Within weeks, millions of students discovered they could ask their questions to a free chatbot — and get instant answers that were often good enough.
Chegg didn't see it coming. Or rather, didn't grasp the scale of the shift. Initially, the company observed no impact on sign-ups. Then, starting in March 2023, the numbers turned. The CEO himself acknowledged on an earnings call that ChatGPT was significantly affecting growth.
On May 2, 2023, the stock dropped 48% in a single day.
That was only the beginning. Over three years, Chegg lost 99% of its market value — going from $14 billion to under $200 million. The company laid off 45% of its workforce in a single wave in late 2025, citing what it called the "new realities of AI."
What most people take away — and what actually matters
Most analyses stop at the headline: a company was "killed by AI." That's true, but it's not enough.
What makes the Chegg case truly instructive is not the fall itself. It's the mechanism behind it.
Chegg wasn't beaten by a better competitor. It was overtaken by a paradigm shift. Overnight, what its customers were paying for — answers to specific questions — became freely available, at a quality perceived as sufficient, through a tool anyone could use.
It wasn't the quality of Chegg that was challenged. It was the very value of what it sold.
This is the critical point. Chegg didn't make a management mistake. It didn't miss a conventional technology turn. It was caught in a larger wave: one where AI makes freely available what once formed the core of a company's value proposition.
What this means beyond Chegg
One might think this is an American story, an isolated case, a niche sector. That would be a mistake.
The same mechanism is already at work in other fields. Professional translation is seeing revenues collapse — a third of British translators report having already lost work to AI, and French-speaking translators have reported revenue drops of 60% within months. Website creation is experiencing dramatic price compression: what once cost €5,000 now costs €500 or less, thanks to AI-powered generation tools. Freelance platforms like Fiverr have seen their "writing" and "translation" categories decline by 20% in a single year.
These are not isolated anecdotes. They illustrate a recurring pattern: when AI can produce a result perceived as "good enough" at a fraction of the cost, value shifts — fast, and often irreversibly.
And this pattern doesn't only apply to digital professions. It potentially affects any business where part of the value rests on producing, processing, or formatting information.
The real question isn't "does this concern me?"
The World Economic Forum estimates that 86% of businesses will be transformed by AI by 2030. Goldman Sachs already observes employment growth falling below trend in sectors as diverse as marketing consulting, graphic design, and office administration. Harvard researchers, analysing 124 years of employment data, conclude that the pace of disruption has accelerated sharply since 2019.
But there is also the other side. SMBs that adopt AI report revenue increases at a rate of 91%. Those that are growing adopt it massively — at 83% — and plan to increase their AI investments. AI now enables a small business to do what was once reserved for large corporations: personalisation at scale, predictive analytics, automation of complex processes.
The real question for a business leader isn't "will AI affect me?" It's rather: where will the value in my market be tomorrow — and will I be on the right side?
What the Chegg case teaches every business leader
If there are three takeaways from this story, they would be these.
The first is that disruption doesn't warn you. Chegg was a profitable, well-managed market leader. It didn't have time to adapt. The early signals were there — the massive adoption of ChatGPT by students — but they were underestimated. By the time the impact showed up in the numbers, it was too late.
The second is that the threat doesn't always come from a direct competitor. It can come from a tool, a new usage pattern, a shift in customer behaviour. That's what makes strategic foresight so difficult — and so necessary. It's not enough to watch your competitors. You need to understand how value is being redistributed across your ecosystem.
The third is that the same technology that destroys value creates it elsewhere. AI doesn't just replace. It opens up new spaces, for those who know where to look. But that requires taking the time to understand what's changing, to assess your own position, and to decide where to focus your efforts.
See it coming, prepare, act
The Chegg story is not a foregone conclusion. It's a signal. And like any signal, it has value — provided you take it seriously.
For an SMB leader, the challenge today is not to become an AI expert. It's to develop a clear understanding of what is changing, to honestly assess your level of exposure, and to build an appropriate response — at the right pace, with the right framework.
This is a leadership issue, not something to delegate. And it's a process that benefits from being supported, because it requires perspective, awareness of the forces at play, and the ability to turn reflection into concrete decisions.
That is exactly why we created IMPAICT.
Sources: Sherwood News (Nov. 2024), CNBC (Oct. 2025), Fortune (May 2023), Salesforce SMB Trends Report (Dec. 2024), World Economic Forum Future of Jobs Report 2025, Goldman Sachs Research (Aug. 2025), Harvard Kennedy School / Summers & Deming (2025).
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