engineering
Building AI products (AI-centric course redesign, Pulse and the agentic coach, the employability platform)
2.9% to 10% of the quarter’s revenue
Incremental total: counts at zero at the point and in full at the high end, with no traced baseline.
our inferencedisclosure: described· motive: exploratory· before LLMs: expanded
The CEO describes an AI employability platform that automates job search and applications, used by more than students in beta, and an agentic coach for language learners; capital expenditure was . No AI build cost or model bill is given. The size is an assumed share of research and development, .
Evidence: 7 quotes, 4 figures, 2 confounds, 3 from before coverage
What Chegg spends building its AI products: the redesign of skilling and language courses to be AI-centric, the Pulse in-workflow coach and agentic coach for language learners, and the AI employability platform in beta before its soft launch. The spend sits in research and development and in capital expenditure, mostly directed to the skilling business, and is not split. The model and compute bill behind the products is not mentioned in any coverage source.
Why this motive
Carried from Q1 2026: an employability platform in beta before a soft launch and an agentic coach being built, with no revenue attached (claims c17, c18).
Before LLMs: expanded
Chegg was already building AI products at the anchor: its own language models, frontier models and an AI-powered experience, with significant AI investment said to be built into the cost base. Research and development was in FY2024 and the AI part was never split, so no pre-AI quarter of the build can be traced. The size is the whole of an activity that existed before.
“In April 2023, we announced our pivot to AI with a partnership with OpenAI to utilize GPT-4 in our offerings. Beginning in September 2023, we started to roll out the first phase of our new AI-powered user experience, and we are continuing to make significant investments in AI initiatives.”
“We have built large language models, and are leveraging frontier models, specific to academic subjects and use cases that cater to learner needs.”
“We've built into our financials already the investments that we're making in AI.”
Figures
- Research and development · 2026-CQ2
- Research and development · 2025-CQ2
- Capital expenditure · 2026-CQ2
- Students who have used the employability platform beta, lower bound · as-of 2026-08-06
What else could explain it
- line composition: Research and development also carries legacy product maintenance and fell with the restructurings.
- relabel: The CEO describes the expert-built question-and-answer library as AI before there was AI; part of what is called the AI build is pre-LLM content and data.
Quotes
“A couple of years ago, we got punched in the face by AI, and now we're using AI to punch back.”
“We will continue to expand into enterprises and schools over the next few years using AI and data to dramatically expand and personalize our catalog while making our courses even more affordable.”
“Beginning in Q3, we are soft launching the next generation of Chegg. By combining our proprietary data, AI, and deep insight into how students learn and build careers, we will reduce the friction for students to get internships and then jobs.”
“Our new agentic coach, which understands each learner's goals and the context of each interaction, helps you prepare for the moments that matter, like a client call, a presentation, or an interview.”
“We have already had more than 10,000 students use the beta and provide feedback, and we will begin rolling out the new service across both Chegg and our site, Internships.com, starting in the third quarter and all throughout 2027.”
“Second quarter CapEx was $3.7 million, down by 49% year-over-year.”
“Yeah. Well, if you think about it, what Chegg's legacy, Chegg was AI before there was AI. We have a pristine 100 and something million pairs of Q&A that we built on our expert network.”
By quarter
- Q1 2026described · our inference · exploratory · $1.8mn to $6.4mn
- Q2 2026described · our inference · exploratory · $1.5mn to $5.2mn