Chegg is one of the clearest early examples of a public company whose core business was rapidly undermined by generative AI.
But those of you who have worked in any content production industry have seen this before, in the impact of the internet on content business models.
Industry | Traditional Revenue Model | AI Threat | Risk Level |
Newspapers | Ads + subscriptions | AI summaries replace clicks | Very High |
News websites | Programmatic ads | Search traffic declines | Very High |
Magazines | Ads + subscriptions | Commodity lifestyle content | High |
Trade journals | Subscription + data | AI-generated research summaries | High |
Music labels | Streaming + licensing | AI-generated songs and voice clones | High |
Stock photography | Licensing fees | Text-to-image generation | Very High |
Online reference sites | Ads + subscriptions | Direct AI answers | Very High |
Product review sites | Affiliate commissions | AI recommendation engines | Very High |
Educational publishers | Textbook sales | Personalized AI tutoring | High |
Local journalism | Ads + classifieds | Reduced traffic and lower cost AI content | Very High |
Chegg built a subscription business around three core assets:
So the business moat was built on:
Proprietary content accumulated over years
Search traffic from students looking for specific solutions
Willingness to pay for reliable, structured answers
Generative AI changed all three assumptions, and undermined the business model.
Tools like OpenAI ChatGPT and Google Gemini offered:
This turned Chegg’s premium service into a commodity.
Metric | Peak / Before AI Shock | After AI Disruption |
Market capitalization | ~$14.7 billion (2021 peak) | ~$150–200 million (2025–2026) |
Share price | ~$113/share | Around $1/share |
Revenue trend | Strong pandemic growth | Sustained year-over-year declines |
Subscribers | Multi-million paid base | Persistent subscriber losses |
2025 layoffs (May) | — | ~248 employees (22%) |
2025 layoffs (October) | — | ~388 employees (45% of remaining workforce) |
But Chegg likely will not be alone. Other lines of business might have similar characteristics:
Sell information rather than physical goods
Depend on labor-intensive expert work
Have low switching costs
Offer outputs that can be generated in text, image, audio, or code.
Industry | Traditional Value Proposition | AI Substitute | Risk Level | Examples |
Homework help | Solved problems and tutoring | ChatGPT-style tutoring | Very High | Chegg |
SEO content agencies | Human-written articles | Automated article generation | Very High | Jasper |
Translation services | Human translation | Neural machine translation | Very High | DeepL |
Basic legal drafting | Contracts and standard documents | AI document drafting | High | Harvey AI |
Tax preparation | Form completion and guidance | AI tax copilots | High | Intuit |
Customer service BPO | Human support agents | AI chat and voice bots | Very High | Zendesk AI |
Coding contractors | Routine software work | Code generation assistants | High | GitHub Copilot |
Graphic design for simple tasks | Logos and ad creatives | Image generators | High | Adobe Firefly |
Market research summaries | Analyst reports | Automated synthesis | High | AlphaSense |
Recruiting screening | Resume review | AI candidate matching | High | LinkedIn Talent Solutions |
Medical transcription | Dictation and coding | Speech-to-text + AI coding | Very High | Nuance Communications |
Stock photography | Generic images | AI image generation | Very High | Shutterstock |
As was the case when the internet disruption began, content suppliers will be in the line of fire:
Research report subscriptions
Professional tutoring services
Basic legal document preparation
Simple coding tutorials
Generic content websites
Q&A platforms charging for access
Standardized test prep companies.
If you can describe your service as “We answer questions about X,” danger clearly exists, as AI will provide a substitute.
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