EBAY · eBay Inc.

conf 3/10 Opus+GPT ✓ agree

enthusiasm:30.0 · trend:8 · quantifies:0 · impact:0 · under_radar:0 · credibility:12 · business_impact:8 · disruption:-6 · commitment:6 · confirmation:3

Enthusiasm latest 10 / prev 9 (rising)

eBay’s AI thesis is that proprietary models, product knowledge graph and marketplace data are reducing seller friction, improving buyer discovery, raising ad yield and extending category-specific trust tools. Credibility improved in Q1 FY2026 because management repeated prior magical-listing KPIs, added buyer-search and marketing-engagement metrics, and explicitly linked AI to accelerated GMV. Bottom-line evidence is weaker than topline evidence: management cited efficiencies and operating-profit benefit, but provided few hard cost or margin figures.

Grounded on actual base — revenue $11.1B · net income $2.0B · net margin 18.3% · diluted EPS 4.34

These are next-fiscal-year annual uplift estimates, not next-quarter numbers.

Aggregate next-FY est. rev uplift: % · next-FY EPS uplift: % · vs analysts: unclear · priced in: high (model's call-read: medium; verdict above is the hard-data one used for ranking) · confidence: 3/10

Assumptions: Financial base: revenue ~$11.1B, net income ~$2.031B, net margin ~18.3%. Default incremental net margin = 18.3% and tax rate = 21% would apply IF any claim disclosed a dollar revenue or saving base — none does. eBay quantifies AI only in usage counts (scans, listings, samples) and engagement/GMV PERCENTAGES with no dollar revenue base, no take-rate, and no lister-count denominator, so none can be converted to eBay revenue $. GMV is gross merchandise volume, not eBay revenue (eBay books an undisclosed take-rate). All claims are adopter-side marketplace product/seller-tool improvements; zero supplier-side AI-compute/chip/infra revenue. No HARD figure exists per the disclosed-base rule because no required base appears anywhere in the claims.

Top line: Genuinely unquantifiable from disclosure. The economically relevant claims — double-digit GMV-per-lister, +mid-teens fashion listers, +50% listings/lister, ~50% search engagement -> double-digit purchase lift — point toward incremental GMV/revenue, but eBay disclosed no dollar base, no take-rate, and no affected-lister count, so any revenue uplift % would be invented.

Bottom line: No bottom-line figure derivable. The >25% listing-time reduction is a SELLER productivity gain, not an eBay opex/headcount saving, so there is no after-tax saving to flow to EPS (saving_$ * 0.79 = n/a). Engagement/GMV gains could modestly lift revenue and thus EPS, but with no anchored $ base the net-margin/tax conversion is moot. Net: directionally positive but unquantified.

[impact n/m (all claims soft/unanchored)] Consensus already bakes in solid growth: FY2026 revenue $12.17B is +9.6% over the $11.1B base, EPS $4.34 -> $6.11 is +40.9%, net income +36.6%; FY2027 revenue +15.4% vs 2025. eBay's AI claims are exactly the kind of incremental engagement/listing-supply improvements that feed this curve, but management quantified none of them in dollars, so there is no anchored figure that can be shown to exceed (or fall short of) that trajectory. With nothing measurable above consensus, the disclosed AI impact reads as roughly consistent with what is already modeled — neither a demonstrable beat nor a miss.

• Q4 FY2025, Jamie Iannone: "Since we launched this beta feature in November, feedback has been overwhelmingly positive, and trading card enthusiasts have already scanned over 15 million cards to instantly identify and value their assets."
• Q4 FY2025, Jamie Iannone: "After making this the default listing experience for all new and reactivated listers on iOS and Android in the U.S., we have seen a more than 1/4 decrease in average listing time and greater than 50% increase in new listing creation rate, double-digit percentage increases in sold items and GMV per lister and customer satisfaction exceeding 95%."
• Q1 FY2026, Jamie Iannone: "The U.S. rollout of this experience has been one of the most impactful launches we've had in years as it has driven a greater than 50% increase in new listing creation rate double-digit percentage increases in sold items and GMV per lister, stronger retention and a material increase in estimated customer lifetime value for these sellers."
• Q1 FY2026, Jamie Iannone: "But what we've seen there is higher engagement and increased purchase behavior off of that early test."

• Q1 FY2026, Jamie Iannone: "We continue to leverage our AI capabilities to reimagine core experiences across the marketplace."
• Q1 FY2026, Jamie Iannone: "We're increasingly embedding AI in the foundational elements of our marketplace to remove friction, unlock supply at scale and deliver more personalized and relevant products to our customers."
• Q1 FY2026, Jamie Iannone: "We're now leveraging AI in our advertising products to increase the yield on the same type of placements while giving sellers a really good kind of ROAs continuing to give sellers are really good ROAs on that."
• Q1 FY2026, Jamie Iannone: "What we're seeing as we roll out things like magical listing, and we're using AI for listings, which is now up to 500 million listings is we're seeing more listings per lister, great seller metrics because of our ability to kind of unlock all that inventory."

• Q4 FY2025, Jamie Iannone: "We plan to scale agentic search to more users throughout 2026, laying the groundwork for an even more personalized shopping journey for our customers."
• Q4 FY2025, Jamie Iannone: "This foundation enables us to further raise the bar for innovation, unlock our decades of proprietary data and deliver hyperpersonalized agentic experiences that anticipate our customers' needs and drive tangible value for our business."
• Q1 FY2026, Jamie Iannone: "Based on these compelling results, in the U.S. market, we began expanding this experience to new and reactivated listers in Germany in April, where early AB tests are showing directionally similar uplift on key seller KPIs as the U.S. launch which gives us confidence to extend this experience to more countries and seller segments in the coming months."
• Q1 FY2026, Jamie Iannone: "So we're going to continue to bring the latest agentic technologies to eBay to make it easier for sellers to list and for buyers to find the things they love."

72/100 track record   delivers  6 calls reviewed

eBay's AI commitments are framed as milestone-based product rollouts (agentic search into core search, magical listing to more markets, card-scanning expansion) rather than hard dollar targets, and they have consistently shipped them on the stated timeframe with quantified follow-through; the only unresolved item is the multi-quarter 2026 agentic-search scale-up that is still too early to judge.

Est. revisions rising  ·  Fwd P/E 19.9  ·  EV/Sales 4.5x

AI claim maps to Marketplaces, Advertising Revenues

AI enthusiasm across 6 calls — trend ↗ rising

AI moved from broad platform/tool launches to measurable, scaled drivers across listing, marketing, discovery, fitment and collectibles engagement.

• 2026-05-16 · SuperDS Announces Expansion of Multi-Supplier Listing Automation and Inventory Management Infrastructure for eBay Sellers
• 2026-05-12 · 5 Things to Know Before the Stock Market Opens
• 2026-05-09 · Rocket Lab, Super Micro Computer, eBay And More: 5 Stocks Investors Couldn't Stop Buzzing About This Week

8/10 qualitative impact   material  near-term · mixed evidence

Where AI matters: seller listing, buyer discovery, ads yield

eBay has deployed AI into core marketplace workflows at scale: magical listing is tied to >50% higher new listing creation, double-digit sold-item/GMV-per-lister lifts, 500M AI-created listings, and agentic search beta shows ~50% higher search engagement. The skepticism is that these are KPI uplifts without disclosed affected user bases, revenue dollars, take-rate math, or EPS conversion, so this is material but not provably transformational.

Caveats: AI KPIs are mostly activity or engagement metrics, not dollar revenue or margin proof; Agentic shopping interfaces could bypass eBay search and weaken promoted-listing economics; Seller-side automation may make cross-listing easier and reduce eBay exclusivity; Quality, fraud, counterfeit and hallucinated listing risks could rise with automated listing creation

AI DISRUPTION / CANNIBALIZATION RISK  two-sided · 4/10

AI is more additive than destructive for eBay because marketplace liquidity, payments, trust, authentication and seller/buyer networks remain hard to replicate. The threat is that AI shopping agents and seller automation could shift discovery away from eBay-owned search, commoditize listing tools, and make multi-homing easier, pressuring ad yield and traffic control.

option liquidity: good

proxy inputs — dollar-ADV $620M · beta 1.385 · px $108.88

source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.