Chegg sold students a monthly subscription for homework help, built on a huge library of answers and Google search traffic. Generative AI made personalized homework help free, and Google's AI Overviews cut its referral traffic. Subscribers fell 31% to 3.2 million in Q1 2025, Chegg cut about 45% of staff in October 2025, and Q2 2026 revenue was $51.8 million, down 51%.
Key takeaways
- Chegg's moat was a giant library of answers plus the Google traffic that brought students to it. AI attacked both at once.
- Q1 2025: subscribers down 31% to 3.2 million, revenue down 30% to $121 million.
- October 2025: 388 more jobs cut (about 45% of staff) and Dan Rosensweig returned as CEO.
- Q2 2026: revenue $51.8 million, down 51%. Its new Chegg Skilling business earned $17.5 million.
For years, if you were a student stuck on a homework problem, the path was the same.
You typed the question into Google. A Chegg page came up with the answer, step by step. You hit the paywall. You subscribed.
Millions did.
Then, almost overnight, you could paste the same question into a free AI chatbot and get a personalized explanation in seconds. And Google started answering the question itself, at the top of the search page, before you ever saw a Chegg link.
Two things Chegg depended on disappeared at once.
What was Chegg's moat?
Chegg built one of the biggest consumer subscriptions in education. Students paid monthly for homework help, step-by-step solutions and expert Q&A.
Its moat had two parts:
- A huge library of answers, built up over years.
- The Google traffic that brought students to those answers.
That looked strong. A competitor would need years to build a library that size, and would have to outrank Chegg in search.
Generative AI didn't need to do either. It didn't need a library. It generated the answer. And it didn't need search traffic, because students went straight to the chatbot. Then Google's AI Overviews began answering questions directly in search.
How fast did the subscription unravel?
Fast.
| Date | What happened |
|---|---|
| February 2025 | Chegg sues Google, arguing it uses publishers' content in AI answers and starves them of traffic. Google calls it an attempt "to blame Google for its business decline" |
| Q1 2025 | Subscribers fall 31% to 3.2 million. Revenue falls 30% to $121 million. Subscription services revenue down nearly a third to $108 million |
| May 2025 | Chegg cuts 22% of staff |
| Q2 2025 | Revenue falls by more than a third, to $105.1 million |
| October 2025 | Another 388 jobs cut (about 45% of staff). Strategic review ends with Chegg staying an independent public company. Executive Chairman Dan Rosensweig returns as CEO, replacing Nathan Schultz |
| Q2 2026 | Revenue $51.8 million, down 51%. New "Chegg Skilling" business (workforce and language courses) earns $17.5 million, up 2% |
Schultz had said: "we would not need to review strategic alternatives if Google hadn't launched AI Overviews." Chegg's stated goal now is to "return Chegg to growth."
Why did the moat fail?
Look at it through the book's MOATS framework, and the weak spot is the O.
O stands for One, as in no single point of failure. In The Subscription Playbook I call the "rule of one" the one rule you should break. One product, one customer type, one marketing channel: it's easy to run, and it's dangerous.
I told the story of Matt Mickiewicz, co-founder of SitePoint, Flippa and 99designs. In 2000 SitePoint made its money from online ads. Then the ad market dried up, almost overnight. SitePoint survived by switching to memberships, but losing its one revenue source nearly killed it.
I also mentioned a lunch with a well-known venture capitalist who wouldn't invest in companies too reliant on Facebook or Google advertising. He'd seen too many fall over at the mercy of the platforms.
Chegg relied on one channel (Google search) to sell one thing (answers). When AI made answers free and Google kept the traffic, both legs went from under it at once.
My take
The scariest part of the Chegg story is that its moat looked deep right up until it didn't. A big content library is a moat against other content libraries. It's no moat at all against a machine that writes the content on demand. If you sell information, ask yourself honestly: is my moat built against yesterday's competitors or tomorrow's? Read moats in the AI era for how to think about it.
How deep is your moat, really?
Score your business on the five MOATS factors and find the single points of failure before a competitor does.
Is unlimited content dead?
No. But undifferentiated content is in trouble.
The book's unlimited content model still works when the content is unique (Disney's films, a niche expert's teaching) or when the subscription delivers something beyond the content itself. What's at risk is content that a free tool can now produce for anyone who asks.
The safer move is from selling answers to selling outcomes: coaching, accountability, done-for-you work, certification. A student doesn't just want the answer. They want to pass. That's an outcome AI can't guarantee and a person or program can stand behind. The outcome-based pricing guide covers how to price that.
What can you steal from Chegg's collapse?
- Ask the uncomfortable question. "If AI did my core deliverable for free tomorrow, what would customers still pay me for?" Build that now.
- Don't depend on one acquisition channel. Own an email list and a community. Search and social traffic can be taken away.
- Move from answers to outcomes. Coaching, accountability, done-for-you work, certification.
- Diversify revenue before you need to. Chegg Skilling earned $17.5 million in Q2 2026, but that was far too small to replace what was lost.
- Watch leading indicators. Traffic from your main channel and new subscriber numbers will usually move before revenue does. When they turn, go back to the basics of reducing churn and re-test your product/market fit. Fit isn't permanent.
For the full framework, read dig your moat and the MOATS framework.
What to do next
List your top three sources of new customers and your top three products. If any one of them disappearing would put you out of business, that's your single point of failure.
MOATS ScorecardScore your business on the five moat factors.Open the free tool →Then fix the riskiest one first.
Frequently asked questions
Why did Chegg sue Google?
In February 2025 Chegg sued Google, arguing that Google uses publishers' content in its AI answers and starves them of referral traffic. Google called it an attempt to blame Google for Chegg's business decline. Chegg's then CEO, Nathan Schultz, said the company would not have needed to review strategic alternatives if Google hadn't launched AI Overviews.
Could Chegg have avoided this?
Nobody could have stopped generative AI arriving. But a business with several acquisition channels and products that went beyond answers, such as accountability, tutoring relationships or credentials, would have had more to fall back on. Chegg's new Skilling business is a move in that direction, but it was small relative to the revenue lost.
Which subscription businesses are most at risk from AI?
Those whose main product is information or a task that AI can now do instantly and cheaply: answers, templates, basic research, simple writing or design. Businesses that sell relationships, accountability, trust, physical delivery, community or outcomes are generally better protected. The question is what customers pay you for that a free tool can't give them.
What is a single point of failure in business?
It's any one thing your business can't survive losing: one customer, one channel, one supplier, one key person. In the book's MOATS framework, the O stands for One, and it means having no single point of failure. Chegg depended heavily on one acquisition channel, search, and one type of product, answers.
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Robert Coorey, MBA
Robert is the author of The Subscription Playbook and Feed a Starving Crowd and a Director at BPAG Accountants in Sydney. More about Robert.
Sources
- CNBC, Chegg to lay off 22% of workforce as AI shakes up ed-tech industry (12 May 2025)
- Higher Ed Dive, Chegg slashes nearly half of its workforce as AI eats into its business (29 Oct 2025)
- Chegg, Q2 2026 results (6 Aug 2026, via Yahoo Finance/Business Wire)
Facts and prices checked 27 October 2026. Spotted something out of date? Tell us.