AI Absorption Ledger / CHGG

Chegg

CHGG · Q2 2026 · reported 2026-08-06 · revenue $52mn

Assessment

The toll deepened in proportion. Academic Services revenue fell to ; the 10-Q attributes of subscription and of advertising revenue to reduced traffic and now states without hedging that AI tools and products have reduced traffic and subscribers. The CEO says AI created real headwinds. The filing's traffic-attributed decrease bounds the toll; removing Chegg's own marketing cut and a recurrence of its fiscal 2023 subscription decline at their high end still leaves of it to AI, so the toll is . Content licensing, which fell for another reason, is left out.

Against it the AI revenue the filing reports is small and slowing: Skilling revenue rose , attributed primarily to AI-focused programs, after from those programs in Q1 2026. Chegg's own AI products are now an employability platform in beta and an agentic coach, described with no revenue and no cost, and the CEO no longer credits AI features with slowing the decline.

The cost story steps from described to directional. The CFO now names enhanced use of AI beside expense discipline for the lower cost base, and the CEO calls the workforce restructuring becoming AI-first; the 10-Q attributes the decrease to restructuring, and non-GAAP operating expenses fell no faster than revenue against the prior-year rate ( above it). AI is named beside expense discipline and nothing separates its part, so the ledger leaves the saving unsized, with non-GAAP operating expenses as its ceiling, tags it relabelled, and reads AI-attributed cuts while revenue falls as narrative-defensive.

As in Q1 2026, the sources carry no going-concern language and no strategic review, and no price concession attributed to AI; the roster's hypothesis rests on the toll alone.

Sized channels against the income statement, Q2 2026

4 of 6 channels sized

Each blue mark is one channel's dollars for the quarter; a bar is the range of an estimate. Grey marks are the company's reported lines. The distance between them is the point: how large the AI channel is next to the line it sits in.

New money and old money, Q2 2026

4 expanded2 relabelled

Each channel is tagged once for whether its money existed before language models, from the company's annual report and call at the start of the period. A bar splits one flow's sized dollars by that tag. The incremental total is the part that would not be there without the models: a new channel counts in full, an expanded one only for what AI added, a relabelled one at zero.

Paid for AI$1.5mn to $5.2mn sized

expanded $1.5mn to $5.2mn

Incremental total $0 to $5.2mnpoint $0$3.0mn in 1 channel has no traced baseline
Cost displaced by AI$44k to $2.6mn sized

expanded $44k to $2.6mnrelabelled not sized

Incremental total $44k to $2.6mnpoint $658k
Revenue arriving through AI$300k sized

expanded $300krelabelled not sized

Incremental total $300k
Cost imposed, or revenue lost, by others’ AI$41mn to $48mn sized

expanded $41mn to $48mn

Incremental total $41mn to $48mnpoint $44mn

The sized total counts every channel the company credits to AI, including relabelled money that existed before language models and the ledger's own estimates for it. The incremental total counts relabelled channels at zero. A flow is split by layer where its dollars sit at more than one: end use, compute sold to builders, and hardware. The same dollar can be a buyer's spend, a cloud's revenue and a chipmaker's revenue, so the layers are never added together.

Paid for AI1 channel · $1.5mn to $5.2mn sized · $0 to $5.2mn incremental

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.”
Filing, risk factors, 10-K periodic report, 2025-02-24
“We have built large language models, and are leveraging frontier models, specific to academic subjects and use cases that cater to learner needs.”
Filing, business, 10-K periodic report, 2025-02-24
“We've built into our financials already the investments that we're making in AI.”
CEO, qa, earnings call, 2024-04-29

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.”
c7 · CEO, qa, earnings call, 2026-08-06
“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.”
c11 · CEO, prepared remarks, earnings call, 2026-08-06
“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.”
c17 · CEO, prepared remarks, earnings call, 2026-08-06
“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.”
c18 · CEO, prepared remarks, earnings call, 2026-08-06
“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.”
c19 · CEO, prepared remarks, earnings call, 2026-08-06
“Second quarter CapEx was $3.7 million, down by 49% year-over-year.”
c20 · CFO, prepared remarks, earnings call, 2026-08-06
“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.”
c21 · CEO, qa, earnings call, 2026-08-06

By quarter

  • Q1 2026described · our inference · exploratory · $1.8mn to $6.4mn
  • Q2 2026described · our inference · exploratory · $1.5mn to $5.2mn

Cost displaced by AI2 channels · $44k to $2.6mn sized · $44k to $2.6mn incremental · 1 not sized

cost of-revenue · expensive to verify

Course and curriculum content built with AI instead of only human authors

0.08% to 5.1% of the quarter’s revenue

Incremental total: counts in full.

our inferencedisclosure: described· motive: efficiency· before LLMs: expanded

The CEO says AI lets Chegg create and refresh content quickly and affordably and will be used to expand the catalog while lowering course prices. No figure is given; the ledger's range, , repeats the Q1 2026 template. It overlaps the operating-efficiency channel and stays out of totals. The channel this reading was counted inside (ai-operating-efficiency) is unsized this quarter, so the overlap no longer holds and this reading counts in totals on its own evidence (overlap rule, 2026-10-06).

Evidence: 2 quotes, 1 figure, 2 confounds, 3 from before coverage

Cost Chegg avoids by building and updating Chegg Skills and language courses with AI rather than only with staff and subject matter experts. Where the content cost sits is not split in the filings (cost of revenues, research and development); the reading lists the operating-efficiency channel as an overlap and stays out of totals.

Why this motive

Carried from Q1 2026: content built with AI quickly and affordably (claim c12), courses to be made more affordable (claim c11). No displaced line is shown.

Before LLMs: expanded

Content was built at the anchor by staff and a network of subject matter experts, with cost of revenues at in FY2024, within which contractor spend fell (the 10-K does not say that work was content); the FY2024 10-K already says generative AI is used to increase efficiency. No content cost line is reported then or now. The size is the change AI made, not the whole line.

“We leverage the latest in distributed systems, machine learning, data analytics, and generative AI to increase efficiency and scale in our business.”
Filing, business, 10-K periodic report, 2025-02-24
“Our unique assets, such as our 100 million pieces of education content, our reach with learners around the globe, and our 150,000 subject matter experts, come together to deliver the most effective learning experience possible.”
CEO, prepared remarks, earnings call, 2024-04-29
“The decrease was primarily due to the absence of the $38.2 million content and related assets charge, lower contractor spend of $4.4 million”
Filing, mdna, 10-K periodic report, 2025-02-24

Figures

  • Chegg Skilling revenue · 2026-CQ2

What else could explain it

  • line composition: Content cost is not split from cost of revenues or research and development.
  • transformation program: Restructuring cut staff for reasons the filing does not tie to AI.

Quotes

“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.”
c11 · CEO, prepared remarks, earnings call, 2026-08-06
“That will come later, but it's not so much the partners we're picking, it's the content we're creating. That content will constantly evolve, same as the answers and the questions did for students on academics around the professional needs of students. It will be led by what companies are actually recommending the necessary skills that students will have. AI allows us to do all that quickly, affordably, personalize each experience.”
c12 · CEO, qa, earnings call, 2026-08-06

By quarter

  • Q1 2026described · our inference · efficiency · $44k to $2.6mn
  • Q2 2026described · our inference · efficiency · $44k to $2.6mn

back office · cheap to verify

AI productivity across the company (the AI-first cost structure)

Not sized

The CFO credits the lower cost base to a disciplined approach to expense management and enhanced use of AI together (claim c14), the CEO to a workforce restructuring to become AI-first (claim c13), and the 10-Q to restructuring (claim c16). AI is named beside other causes and nothing separates its part, so the channel is left unsized with no ballpark on a judgment share (the methodology rule for AI named beside another cause, rules sweep of 2026-10-06). The ceiling is non-GAAP operating expenses, . The former estimate, chgg-2026-cq2-f25, was an assumed AI share of the cost at the prior-year rate.

Matched line moved : the whole line, not this channel.

described, no sizedisclosure: direction only· motive: narrative-defensive· before LLMs: relabelled

A step from described to directional: the CFO now names enhanced use of AI, beside expense discipline, as a cause of non-GAAP operating expenses falling to from . Against the prior-year share of revenue the line moved , above it: costs fell no faster than revenue, so the shape a saving predicts is absent. AI is named beside expense discipline and nothing separates its part, so the reading is unsized; the non-GAAP line is its ceiling. Tagged relabelled, it counts zero in the incremental total.

Evidence: 7 quotes, 5 figures, 4 confounds, 2 from before coverage

Operating cost Chegg avoids through what management calls enhanced use of AI to improve productivity across functions, part of the AI-first re-architecture it presents alongside workforce reductions. The 10-Qs attribute the operating expense decrease to lower employee-related expenses from prior restructuring actions and do not name AI; the restructurings were adopted, per the anchor, in response to the revenue loss.

Why this motive

Carried from Q1 2026, with the narrative-defensive tell stronger: the CEO presents the workforce restructuring as becoming AI-first (claim c13) while revenue fell and the 10-Q attributes the decrease to restructuring without naming AI (claim c16).

Before LLMs: relabelled

The FY2024 10-K already says generative AI is used to increase efficiency, and its workforce reductions are explained by competition and student adoption of generative AI. Operating expenses then were research and development , sales and marketing and general and administrative in FY2024, with no AI saving reported. In coverage the 10-Qs explain the cost decrease by those restructurings before management names AI productivity, so the movement credited to AI is one already explained another way: relabelled.

“In November 2024 and June 2024, we announced restructuring plans that included reductions of our global workforce of approximately 760 employees, or approximately 22% of our workforce, to better align our cost structure with recent industry challenges that are negatively impacting our business, including increased competition and student adoption of generative AI products.”
Filing, business, 10-K periodic report, 2025-02-24
“We leverage the latest in distributed systems, machine learning, data analytics, and generative AI to increase efficiency and scale in our business.”
Filing, business, 10-K periodic report, 2025-02-24

Figures

  • Non-GAAP operating expenses · 2026-CQ2
  • Non-GAAP operating expenses · 2025-CQ2
  • Non-GAAP operating expenses as a share of net revenues · 2025-CQ2
  • Non-GAAP operating expenses at the prior-year share of revenue (the counterfactual cost) · 2026-CQ2
  • Net revenue growth, year over year · 2026-CQ2

Reported line it is matched to

Non-GAAP operating expenses moved against the prior-year share of revenue, above the rate, after falling below it in Q1 2026 ().

2026-CQ2: 2025-CQ2: 2026-CQ2: 2025-CQ2:

What else could explain it

  • transformation program: The filing attributes the cost decrease to prior-year restructuring actions; none of it is credited to AI.
  • operating leverage: Revenue fell and non-GAAP costs fell in proportion: downsizing, not automation, explains the level.
  • one time item: Litigation settlements, restructuring charges and impairments move the reported lines; the non-GAAP line excludes them.
  • other: The CFO names expense discipline beside enhanced use of AI (claim c14); no source separates AI's part.

Quotes

“AI created real headwinds for this company, and we responded by strengthening our balance sheet, rebuilding an AI-first cost structure, and expanding our vision towards a much larger opportunity.”
c6 · CEO, prepared remarks, earnings call, 2026-08-06
“Underlying all of this has been the restructuring of our workforce to becoming AI -first. AI allows us to personalize learning, improve outcomes, and scale more efficiently and affordably, giving us a much leaner operating model, which allows us to return to being a growth business with high margins.”
c13 · CEO, prepared remarks, earnings call, 2026-08-06
“Turning to expenses, Q2 non-GAAP operating expenses were $32.3 million, nearly cutting our expenses in half compared to the second quarter of last year. This significant reduction reflects our disciplined approach to expense management and enhanced use of AI to improve productivity and drive efficiencies across the company.”
c14 · CFO, prepared remarks, earnings call, 2026-08-06
“As we execute on our strategy, AI is improving operational efficiency across the company and driving meaningful gains in profitability and cash generation.”
c15 · CFO, prepared remarks, earnings call, 2026-08-06
“Operating expenses decreased $74.6 million, or 70%, and $132.1 million, or 65%, during the three and six months ended June 30, 2026, respectively, compared to the same periods in 2025, primarily due to lower employee-related expenses as a result of prior year restructuring actions.”
c16 · Filing, mdna, 10-Q periodic report, 2026-08-06
“We've built a strong foundation for the future and are encouraged by the continued durability of our Academic Services products, driven by strong monthly retention, the progress we are making leveraging AI to meaningfully improve our cost structure, the early traction we are seeing with new skilling distribution partnerships, and the significant opportunity we see to expand through employability.”
c23 · CFO, prepared remarks, earnings call, 2026-08-06
“Starting last fall, we embarked on our next big chapter, re-architecting the company to be AI-first, building a sustainable cost structure, and strengthening our balance sheet so we could accelerate our bigger vision.”
c24 · CEO, prepared remarks, earnings call, 2026-08-06

By quarter

  • Q1 2026described · described, no size · narrative-defensive
  • Q2 2026direction only · described, no size · narrative-defensive

Revenue arriving through AI2 channels · $300k sized · $300k incremental · 1 not sized

product revenue

Workforce skilling revenue from AI-focused programs

0.58% of the quarter’s revenue

Incremental total: counts in full.

reported in the filingdisclosure: quantified· motive: offensive· before LLMs: expanded

Chegg Skilling revenue grew to from , an increase of that the 10-Q attributes primarily to workforce programs related to AI-focused programs. Growth slowed from Q1 2026, when the AI-focused part alone was . The size is the filing's figure; the level of AI program revenue is not reported.

Evidence: 1 quote, 2 figures, 2 confounds, 1 from before coverage

Revenue Chegg Skills earns from employers and channel partners for programs that teach AI skills, including the AI master's program launched with Woolf. Demand for AI training arrives because of AI; the courses automate no work of the buyer's. The 10-Q attributes the growth of workforce skilling programs primarily to these programs; the level of AI-focused program revenue is not reported.

Why this motive

Carried from Q1 2026: a priced product line with a measured revenue movement the filing attributes to AI-focused programs (claim c10).

Before LLMs: expanded

Chegg Skills already sold technical programs including AI at the anchor, inside Skills and Other revenue, in FY2024 and in Q1 2024, with no AI program line. The size is the AI-attributed part of the growth, so it is taken against the prior year. The size is the change AI made, not the whole line.

“We offer programs designed to train learners on the latest technical skills, such as AI, coding, data analytics, and cybersecurity.”
Filing, business, 10-K periodic report, 2025-02-24

Figures

  • Chegg Skilling revenue · 2026-CQ2
  • Chegg Skilling revenue · 2025-CQ2

What else could explain it

  • mix shift: The filing attributes the whole Skilling increase primarily to workforce programs, and those primarily to AI-focused programs; language learning and other workforce programs may have moved the other way, so the AI-focused increase may be larger or smaller than the total.
  • other: Six new distribution partners launch later in the year; their timing moves the line for reasons that are not AI.

Quotes

“Chegg Skilling revenues increased $0.3 million, or 2%, and $1.8 million, or 5%, during the three and six months ended June 30, 2026, respectively, compared to the same periods in 2025, primarily due to an increase in our workforce skilling programs primarily related to our AI-focused programs.”
c10 · Filing, mdna, 10-Q periodic report, 2026-08-06

By quarter

  • Q1 2026quantified · reported in the filing · offensive · $900k
  • Q2 2026quantified · reported in the filing · offensive · $300k

product revenue · cheap to verify

AI features in Chegg Study holding subscribers (retention, slower decline)

Not sized

No source this quarter names AI as a cause of the money: the CEO no longer ties the slower decline to AI capabilities, the CFO credits strong retention without naming AI (claim c9), and only the 10-Q product description calls Chegg Study AI-powered (claim c22). With no company statement tying retention to AI, and the Q1 attribution joint with other causes, the reading gets no ballpark (the methodology rule for AI named beside another cause, rules sweep of 2026-10-06). The ceiling is Academic Services revenue, . The former estimate, chgg-2026-cq2-f23, was an assumed share of that line.

described, no sizedisclosure: described· motive: product-defensive· before LLMs: relabelled

The CEO no longer ties the slower decline to AI capabilities; the CFO credits strong monthly retention without naming AI, and only the 10-Q product description says Chegg Study is AI-powered. No source ties the money to AI this quarter, so the reading is unsized; the Academic Services line is its ceiling. The channel is tagged relabelled and counts zero in the incremental total.

Evidence: 2 quotes, 1 figure, 1 confound, 3 from before coverage

Academic Services subscription revenue that Chegg keeps because its own AI-powered study experience (conversational step-by-step help, in-session interventions) retains subscribers who would otherwise leave. The features are not priced separately. Management credits AI capabilities with part of the slower decline; no source gives a retention rate, a subscriber count or a dollar for it.

Why this motive

Carried from Q1 2026: AI features inside the existing subscription with no separate price (claim c22). Product-defensive.

Before LLMs: relabelled

At the anchor Chegg Study was already an AI-powered experience, built on its own language models and a partnership with OpenAI, and the Q1 2024 call credited it with retention up over basis points. The revenue it defends is the subscription line, in Q1 2024; coverage gives no measure of AI-attributed retention, so under the settled reading for AI-attributed demand the channel is relabelled and counts zero in the incremental total.

“Chegg Study subscribers have access to personalized, step-by-step learning support powered by AI, computational engines, and subject matter experts.”
Filing, business, 10-K periodic report, 2025-02-24
“We are already seeing encouraging trends at two important and early indicators: retention rate, which for Q1 is up over 100 basis points year-over-year, and engagement.”
CEO, prepared remarks, earnings call, 2024-04-29
“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.”
Filing, risk factors, 10-K periodic report, 2025-02-24

Figures

  • Academic Services revenue · 2026-CQ2

What else could explain it

  • other: Strong retention is again reported without a rate, and this quarter without any AI attribution; a smaller, more loyal base left after the traffic loss would show the same.

Quotes

“We expanded our distribution partnerships, which we expect to contribute more meaningfully later this year, while remaining focused on efficiently managing our Academic Services products to maximize cash generation. Chegg Study monthly retention continued to be very strong, reinforcing its long-term cash generation potential.”
c9 · CFO, prepared remarks, earnings call, 2026-08-06
“Chegg Study subscribers have access to personalized, step-by-step learning support powered by AI, computational engines, and subject matter experts. Subscribers engage with our conversational experience that delivers the right support at the right time.”
c22 · Filing, mdna, 10-Q periodic report, 2026-08-06

By quarter

  • Q1 2026described · described, no size · product-defensive
  • Q2 2026described · described, no size · product-defensive

Cost imposed, or revenue lost, by others’ AI1 channel · $41mn to $48mn sized · $41mn to $48mn incremental

search discovery

Academic Services revenue lost to AI answers (Google AI Overviews, generative AI chat)

79% to 92.2% of the quarter’s revenue

Incremental total: counts in full.

our inferencedisclosure: bounded· motive: imposed· before LLMs: expanded

Academic Services revenue fell , or , to . The 10-Q attributes of subscription and of advertising revenue to reduced traffic and now says plainly that AI tools and products have reduced traffic and subscribers; the content licensing decrease is explained apart. The CEO says AI created real headwinds. That traffic-attributed decrease bounds the toll from above; with the paid marketing cut and a recurrence of the fiscal 2023 subscription decline removed at their high end, of it is left to AI, a higher floor than Q1 2026 because the marketing cut is smaller. The ledger's range is , against the prior-year quarter.

Evidence: 9 quotes, 10 figures, 2 confounds, 7 from before coverage

Subscription and advertising revenue in Academic Services (Chegg Study, Study Pack, Writing, Math) that Chegg no longer bills because Google's AI Overviews keep searchers on the results page and students take homework help from free and paid generative AI services instead. The filings name these AI products as the cause of the reduced traffic and of fewer subscribers, and attribute the subscription and advertising decreases to reduced traffic; no figure separates the AI effect from Chegg's own cuts to paid marketing or from ordinary churn. Content licensing revenue, which the filing explains separately, is outside the channel. The Google antitrust suit over AI Overviews is recorded here as evidence and carries no size.

Why this motive

Carried from Q1 2026: a toll channel, the cause named in the 10-Q as AI tools and products, Google AI Overview among them (claims c1, c2), and by the CEO as AI (claim c6). Imposed by construction.

Before LLMs: expanded

Losing search-referred traffic predates LLMs: the FY2024 10-K says search engines long directed a significant share of traffic to the site, lists falling search rankings as a risk and says rankings have fluctuated before. AI Overviews and generative AI changed the size of that loss; the same 10-K names them as headwinds, and non-subscriber traffic was down year over year in January 2025. The line it comes out of was Subscription Services revenue, in FY2024 and in Q1 2024 with subscribers; it had already fallen in FY2023, before AI Overviews. The anchor gives no dollar of loss attributed to AI. The size is the change AI made, not the whole line.

“In particular, Google's roll out of Artificial Intelligence Overview (AIO) has created and is expected to continue to create headwinds for our industry and our business, most notably reductions in traffic to our website and customers subscribing to our services.”
Filing, risk factors, 10-K periodic report, 2025-02-24
“Across our industry, there has been a continued increase in the adoption of free and paid generative AI products for academic support, and students are increasingly turning to generative AI for academic support, such as homework and exams, as well as assistance in other areas of daily life.”
Filing, risk factors, 10-K periodic report, 2025-02-24
“Global non-subscriber traffic to Chegg declined year-over-year 8% in Q2 2024, 19% in Q3 2024, 39% in Q4 2024 and we entered 2025 with trends looking even more unfavorable, at negative 49% year-over-year for the month of January 2025.”
Filing, risk factors, 10-K periodic report, 2025-02-24
“In November 2024 and June 2024, we announced restructuring plans that included reductions of our global workforce of approximately 760 employees, or approximately 22% of our workforce, to better align our cost structure with recent industry challenges that are negatively impacting our business, including increased competition and student adoption of generative AI products.”
Filing, business, 10-K periodic report, 2025-02-24
“We have depended in the past on various search engines and free marketing tools to direct a significant amount of traffic to our website, but we are increasingly investing in other channels, including social media campaigns, to drive traffic and make us more discoverable to students.”
Filing, risk factors, 10-K periodic report, 2025-02-24
“changes to the way students discover our content or a decline in our search engine result page rankings;”
Filing, risk factors, 10-K periodic report, 2025-02-24
“Our website has experienced fluctuations in search result rankings in the past, and we anticipate similar fluctuations in the future.”
Filing, risk factors, 10-K periodic report, 2025-02-24

Figures

  • Academic Services revenue · 2026-CQ2
  • Academic Services revenue · 2025-CQ2
  • Academic Services revenue change, year over year · 2026-CQ2
  • Academic Services revenue growth, year over year · 2026-CQ2
  • Decrease in Academic Services subscription revenue attributed to reduced traffic, year over year · 2026-CQ2
  • Decrease in advertising services revenue attributed to reduced traffic, year over year · 2026-CQ2
  • Decrease in content licensing revenue, year over year (not attributed to traffic) · 2026-CQ2
  • Decrease in paid marketing expenses, year over year · 2026-CQ2
  • Share of the traffic-related decrease left to AI after the named non-AI causes at their high end · 2026-CQ2
  • Subscription Services revenue growth, fiscal 2023 against fiscal 2022 (before AI Overviews) · FY2023

What else could explain it

  • other: Chegg cut paid marketing again, by , and manages Academic Services for cash, which lowers new subscribers for reasons of its own.
  • other: Content licensing revenue fell for a reason the filing gives separately; it is outside the channel.

Quotes

“Increased availability and adoption of AI tools and products, including the continued increase in availability and adoption of free and paid generative AI services by students, has reduced, and is expected to continue to reduce, traffic to our website and customers subscribing to our services.”
c1 · Filing, mdna, 10-Q periodic report, 2026-08-06
“For example, the AI Overview feature of Google's search results, which includes questions and solutions for education, keeps users on Google search results instead of leading them to our site.”
c2 · Filing, mdna, 10-Q periodic report, 2026-08-06
“This has negatively impacted our industry and is expected to continue to negatively impact traffic to our platform and accelerate the decline in the number of new subscribers that sign up for our services, adversely affecting our business, operating results and financial condition.”
c3 · Filing, mdna, 10-Q periodic report, 2026-08-06
“Academic Services revenues decreased $53.6 million, or 61%, during the three months ended June 30, 2026, compared to the same period in 2025. The decrease was primarily due to a decrease in subscription revenue of $46.7 million and advertising services revenue of $1.1 million, primarily related to reduced traffic which led to fewer subscribers, as well as a decrease in content licensing revenue of $5.6 million.”
c4 · Filing, mdna, 10-Q periodic report, 2026-08-06
“On February 24, 2025, we filed a complaint in the U.S. District Court for the District of Columbia against Google, asserting federal antitrust claims and common-law unjust enrichment claims, in connection with Google's expansion of its AI Overview ("AIO") search experience, and seeking damages, restitution, disgorgement, and injunctive relief. Google moved to dismiss the amended complaint on July 25, 2025.”
c5 · Filing, notes, 10-Q periodic report, 2026-08-06
“AI created real headwinds for this company, and we responded by strengthening our balance sheet, rebuilding an AI-first cost structure, and expanding our vision towards a much larger opportunity.”
c6 · CEO, prepared remarks, earnings call, 2026-08-06
“A couple of years ago, we got punched in the face by AI, and now we're using AI to punch back.”
c7 · CEO, qa, earnings call, 2026-08-06
“We have huge legacy customers that still use Chegg. You can see that in our numbers. You can see that in the amount of traffic that we're generating. We have the ability to reach students in the millions. Awareness won't be difficult for us because we still get massive traffic.”
c8 · CEO, qa, earnings call, 2026-08-06
“We expanded our distribution partnerships, which we expect to contribute more meaningfully later this year, while remaining focused on efficiently managing our Academic Services products to maximize cash generation. Chegg Study monthly retention continued to be very strong, reinforcing its long-term cash generation potential.”
c9 · CFO, prepared remarks, earnings call, 2026-08-06

By quarter

  • Q1 2026bounded · our inference · imposed · $43mn to $60mn
  • Q2 2026bounded · our inference · imposed · $41mn to $48mn

Reported lines, year-over-year growth

Revenue −50.7%

Q2 2026. Growing slower than revenue: research and development (−74.2%), general and administrative (−75.7%). A displaced cost shows up as a line that stays under the dashed revenue line. These are the audited lines, as first reported; nothing here is attributed to AI by the filing. Not drawn: research and development, general and administrative, which one-time items move by more than 60% in a quarter; the values are in the table below.

Cost of revenueSales and marketingRevenue
-60%-40%-20%0%20%Q1 2025Q2 2025Q3 2025Q4 2025Q1 2026Q2 2026Cost of revenueSales and marketingRevenue
Reported values and filings
LineQ1 2025Q2 2025Q3 2025Q4 2025Q1 2026Q2 2026
Revenue$121mn$105mn$78mn$73mn$63mn$52mn
Cost of revenue$54mn$35mn$32mn$31mn$25mn$24mn
Research and development$29mn$29mn$18mn$17mn$9.1mn$7.4mn
Sales and marketing$26mn$17mn$12mn$14mn$11mn$9.5mn
General and administrative$39mn$60mn$33mn$45mn$19mn$15mn