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NWSA · News Corporation

Entertainment · mkt cap $14.8B · calls: Q3 FY2026 vs Q2 FY2026
37.0 conviction · conf-adj 37

conf 3/10 Opus+GPT ✓ agree

enthusiasm:27.0 · trend:8 · quantifies:0 · impact:0 · under_radar:5 · credibility:0 · business_impact:8 · disruption:-14 · commitment:0 · confirmation:3

Enthusiasm latest 9 / prev 8 (rising)

Management frames News Corp as an "AI inputs" licensor (Meta, OpenAI, Bloomberg, Anthropic settlement, more deals in negotiation) plus an internal adopter (Factiva, realtor.com/ChatGPT, REA conversational search, HarperCollins translation/audiobooks, engineering productivity)—with enforcement against scrapers. Enthusiasm rose from rhetorically strong (Q2) to more operational and partnership-specific (Q3), but they still refuse contract economics and declined to quantify internal cost savings when asked. Credibility on direction is reasonable given named deals and product launches; credibility on financial materiality is weak until licensing flows appear in reported revenue with numbers.

GROUNDED NEXT-FY IMPACT vs CONSENSUS

Grounded on actual base — revenue $8.5B · net income $1.2B · net margin 14.0% · diluted EPS 2.07

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: medium · confidence: 3/10

ClaimFigureArithmeticNext-FY Rev %Next-FY EPS %
Anthropic $1.5B book-licensing settlement — News Corp/NWSA 'fair share' only
revenue · soft		$1.5 billion (industry-wide settlement pool; no NWSA-specific $)$1.5B is the TOTAL class-action settlement pool shared across the entire author/publisher industry (~500k works), NOT an NWSA figure, AND a ONE-TIME legal recovery, not recurring run-rate revenue. Management says only 'our fair share' with NO disclosed allocation to NWSA/HarperCollins, and none is derivable from the inputs. 100*1.5e9/8.452e9 = 17.7% is the absurd result of (wrongly) booking the whole industry pool to NWSA — confirming it must not be sized. Illustrative-only NWSA-share bounds (NOT scored): 5%->$75M->0.89% rev; 10%->$150M->1.77% rev; 20%->$300M->3.55% rev. Phasing ('later this calendar year', 'over the next few years', Q4 FY26 'some benefits') implies partial-FY26 at most. → unanchored at NWSA level.
Factiva Gen AI — 8,000+ premium sources licensed in
engagement · soft		>8,000 premium sourcesA count of third-party content licensed INTO Factiva (product input/coverage scale, cost/capability side), not NWSA revenue. No dollar figure, take-rate, margin, or incremental-revenue disclosure → cannot map to a revenue line or compute rev/eps uplift.

Assumptions: Next fiscal year = FY2026 (Jul 2025–Jun 2026) vs base FY2025. Would have used incremental net margin = current 13.96% (FY25 GAAP NI $1,180M / $8,452M rev; content licensing likely higher-margin but unquantified, left at default), tax 21% for cost-saves (none quantified). Neither claim was usable: $1.5B is an industry settlement pool / one-time recovery with no NWSA allocation, and Factiva 8k is non-dollar product scale. EARNINGS-BASIS flag: supplied GAAP base (NI $1.18B, EPS $2.07) is ~2x the basis consensus uses (FY26 consensus NI ~$594M, EPS $1.06), so any EPS% off GAAP would be artificially small/distorted — use the adjusted/consensus base if a figure ever materializes, else null. Adopter-side only; no AI infra/compute supplier claims.

Top line: No sizable, anchored next-FY AI topline uplift is computable. The only dollar figure on the calls ($1.5B) is the industry-wide Anthropic settlement pool, not NWSA's share — management discloses only 'our fair share' with no allocation, and it is a one-time legal recovery, not run-rate revenue. Factiva '8,000+ sources' is product-input scale, not revenue. All forward AI statements ('substantial deals', 'multiple meaningful agreements', 'positive impact on revenue and profitability', Q4 content-licensing benefits) are qualitative — real direction, zero magnitude. Adopter-side AI revenue uplift = null (unsizable), not zero. For scale: consensus FY26 revenue $8,917M is +5.50% vs actual FY25 $8,452M (+$465M); any plausible NWSA slice ($75–150M = 0.9–1.8% of rev) would be small vs that gap.

Bottom line: Bottom-line AI impact is likewise unsizable. The settlement, if/when received, drops largely to net income as a one-time gain, but the NWSA quantum is undisclosed; recurring AI licensing margins are flagged accretive ('positive impact on profitability') yet unquantified. Denominator caution runs the OTHER way here: the GAAP base is INFLATED (~2x consensus NI), so any EPS% taken off GAAP $1,180M would be artificially small and misleading — another reason to withhold a number. Illustrative only (NOT scored): $150M licensing × 13.96% margin = $20.9M ≈ +1.77% vs GAAP NI $1,180M or ~+3.5–4% vs consensus FY-NI ($509M–$594M).

[impact n/m (all claims soft/unanchored)] Aggregate adopter uplift null — no hard NWSA $. Consensus already embeds modest growth (rev $8,452M→$8,917M FY26→$9,319M FY27; adj EPS $0.90→$1.06→$1.27; NI ~$509M→$594M) on only 3–4 analysts, plausibly absorbing management's vague Q4 content-licensing benefits. But the lumpy one-time Anthropic recovery and any 'substantial' horizontal-AI deals sit outside the quantified consensus model, and without a disclosed NWSA share the gap between AI upside and consensus cannot be measured. Indeterminate — not demonstrably ahead or behind. GAAP NI (~2x consensus) makes GAAP-based EPS% misleading for vs-consensus framing.

MODEL CONSENSUS (impact)

Opus+GPT ✓ agree

Both nulled all scored fields, soft=true on both claims, priced_in medium, verdict unclear, confidence 3 — agreement is full on every scored value; only prose framing differed and was merged.

Conflicts reconciled
FieldOpus 4.8GPT-5.5
Rev uplift %––
EPS uplift %––
Priced inmedium–
vs analystsunclear–
Confidence3–
Top lineNo sizable, anchored AI topline impact is computable. The only dollar figure on the calls ($1.5B) is the industry-wide Anthropic settlement pool, not NWSA's share — management discloses 'our fair share' with no allocation, and it is a one-time legal recovery, not run-rate revenue. The Factiva '8,000+ sources' is product-input scale, not revenue. Every forward AI statement ('substantial deals', 'multiple meaningful agreements', 'positive impact on revenue and profitability', 'benefits from content licensing in Q4') is qualitative — real direction, zero magnitude. So adopter-side AI revenue uplift = null (unsizable), not zero.–
Bottom lineBottom-line AI impact is likewise unsizable. The settlement, if/when received, drops largely to net income as a one-time gain but the NWSA quantum is undisclosed; recurring AI licensing margins are flagged as accretive ('positive impact on profitability') but unquantified. Note the thin-vs-distorted denominator issue runs the other way here: the GAAP base is INFLATED (~2x consensus NI), so any EPS% taken off it would be artificially small — another reason to withhold a number rather than print a misleading one.–
ReasoningConsensus already embeds modest growth (rev $8,452M→$8,917M FY26→$9,319M FY27; EPS $0.90→$1.06→$1.27), which plausibly absorbs management's vague 'Q4 content-licensing benefits.' But because no NWSA-specific AI figure exists, the gap between AI upside and consensus cannot be measured — the lumpy, one-time Anthropic recovery and any 'substantial' horizontal-AI deals are genuinely outside the quantified consensus model. Indeterminate, not demonstrably ahead or behind.–

Rows highlighted where the two models disagreed.

QUANTIFICATIONS
Anthropic industry book-licensing settlement (News Corp expects fair share, no NWSA-specific amount): $1.5 billion (starting later this calendar year, topline)
“We also expect to receive our fair share of the proceeds of the $1.5 billion settlement with Anthropic starting later this calendar year”
Factiva Gen AI licensing — third-party source count (product scale, not NWSA revenue): more than 8,000 premium news and business information sources (Q2 FY2026 (already done), both)
“We also bolstered Factiva's Gen AI capabilities with expanded licensing rights for more than 8,000 premium news and business information sources.”
PAST (realized)
CURRENT (now)
FORWARD (guidance)
TRACK RECORD — PROMISE vs DELIVERY

—/100 (no quantified promises)   no-quantified-promises  6 calls reviewed

From Q2 FY2025 through Q3 FY2026, management emphasized AI/IP licensing, partnerships, and litigation but never stated a forward quantified AI target with both a number and a milestone (no AI revenue, cost, productivity, or rollout goals); outcomes cited were retrospective segment growth or legal/settlement references without auditable AI KPIs.

PRICED-IN (REFINED)
MEDIUM

Est. revisions flat  ·  Fwd P/E 29.0  ·  EV/Sales 1.9x

AI claim maps to Dow Jones Segment, News And Information Services Segment, Digital Real Estate Services Segment

Rating counts show only a mild upgrade (buys 4→5, holds 2→1) while price targets are flat to slightly lower (lastMonth/quarter 31.7 vs lastYear 31.93), so revision momentum is not clearly rising. Forward consensus already embeds a steep EPS ramp (0.90→1.06→1.27) on modest revenue growth, but at ~29x next-FY P/E and ~39x TTM P/E the stock is already paying a premium versus a typical mature media name, even with EV/Sales near 1.9x. AI-driven efficiency and subscription/productivity upside would most plausibly hit Dow Jones, News & Information Services, and Digital Real Estate—not book publishing—so segment-level gains may be partially in numbers without full multiple expansion; mixed signals (rich valuation, flat PT/revision trend) point to medium priced-in, not low.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
5Q2 FY20254Q3 FY20256Q4 FY20256Q1 FY20267Q2 FY20268Q3 FY2026

AI enthusiasm across 6 calls — trend ↗ rising

Shifted from OpenAI licensing and IP defense to AI revenues, Factiva GenAI, Meta/Bloomberg deals, and realtor.com product use.

RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY

7/10 qualitative impact   material  medium-term · mixed evidence

Where AI matters: IP licensing to AI platforms; Dow Jones/Factiva and digital real estate product AI

Named Meta (~$50M/yr press-reported), OpenAI, and Bloomberg licensing deals plus a pipeline of horizontal and vertical agreements are credible new revenue lines for Dow Jones/IP, but management refuses deal economics and internal savings remain unquantified, so company-level materiality is directional not yet proven in reported accounts.

Caveats: Licensing run-rate may be <$100–150M vs ~$8.5B revenue—material to Dow Jones, not company-transforming; Anthropic $1.5B is an industry one-time pool with undisclosed NWSA share, not recurring AI revenue; AI platforms may capture discovery value faster than licensing fees replace lost ad/subscriber engagement; Internal productivity gains cited without dollar or headcount proof

AI DISRUPTION / CANNIBALIZATION RISK  two-sided · 6/10

AI summarization and conversational interfaces commoditize commodity news discovery and deflate ad impressions/subscriber click-through even as News Corp licenses the same content to model builders; HarperCollins translation/audiobook automation also pressures mid-list publishing economics. Premium WSJ/Factiva/REA franchises and pay-or-sue enforcement partially offset but do not eliminate structural traffic and pricing pressure on the core media model.

OPTIONS / MARKET STRUCTURE

option liquidity: fair

ATM IV
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TYPICAL BID-ASK
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OPEN INTEREST
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proxy inputs — dollar-ADV $116M · beta 0.902 · px $26.11

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.

CONFIRMATION — INSIDERS · 13F · LANGUAGE
Confirming — insiders neutral, institutions adding, management language 6/10 measured.
INSIDERS neutral no open-market buys/sells in last 6mo (routine: 0 awards, 0 tax-withholding)
INSTITUTIONS (13F) adding as of 2026-03-31: 86 new / 87 closed positions; 293 increased / 200 reduced; institutional ownership -0.33pp; +8 net 13F holders
MGMT LANGUAGE 6/10 measured Firm on AI-input identity and named deals; future revenue upside stays conditional and belief-led.
commit “We are an AI inputs company, and that fact was reflected in our recent deal with Meta, which complements our partnership with OpenAI.”
commit “We also expect to receive our fair share of the proceeds of the $1.5 billion settlement with Anthropic starting later this calendar year”
commit “Realtor.com has also just partnered with our friends at OpenAI to take advantage of their AI expertise in improving the experience for sellers, buyers and realtors.”
VERBATIM AI QUOTES
“Our confidence comes as the world is grappling with the potential impact of AI. We are an AI inputs company, and that fact was reflected in our recent deal with Meta, which complements our partnership with OpenAI.”
— Robert Thomson, Q3 FY2026
“We are negotiating several further deals with companies who recognize the preciousness of our provenance and which should have a positive impact on our revenue and profitability.”
— Robert Thomson, Q3 FY2026
“We also expect to receive our fair share of the proceeds of the $1.5 billion settlement with Anthropic starting later this calendar year, an outcome which asserts the integrity of intellectual property and benefits authors and book publishers.”
— Robert Thomson, Q3 FY2026
“Importantly, the decisions to partner with us by global AI leaders reinforce that status as an input company. Semiconductors are inputs. Energy is an input, and editorial is an absolutely essential input.”
— Robert Thomson, Q3 FY2026
“AI engines require information, and they need constant updates to remain relevant. Otherwise, they are merely retrospective.”
— Robert Thomson, Q3 FY2026
“We are also seeing a rapid proliferation of vertical specialist AI companies focusing on specific segments. We believe this is a whole new generation of opportunity for our companies, whether our mastheads, HarperCollins or digital real estate, which generates a vast amount of unique repurposable data.”
— Robert Thomson, Q3 FY2026
“Not only does Dow Jones world-class journalism and extensive data and intelligence serve as the lifeblood of AI, they are indispensable resources for thoughtful readers and for knowing executives seeking to lead enlightened enterprises.”
— Robert Thomson, Q3 FY2026
“Remember, these are core new subscriptions, not recipes, which, like much evergreen content, are indeed susceptible in the AI age.”
— Robert Thomson, Q3 FY2026
“Realtor.com has also just partnered with our friends at OpenAI to take advantage of their AI expertise in improving the experience for sellers, buyers and realtors.”
— Robert Thomson, Q3 FY2026
“We are now a digital-first company with a strong recurring revenue base, complemented by high-margin content licensing revenues.”
— Lavanya Chandrashekar, Q3 FY2026
“We continue to accelerate the pace of innovation, including the launch of the realtor.com app in ChatGPT, as Robert mentioned, and the expansion of its newly launched platform, realtor.com plus, which is receiving favorable industry feedback.”
— Lavanya Chandrashekar, Q3 FY2026
“At News Media, we expect to incur some incremental costs compared to the prior year related to the rollout of the California Post, but should also see some benefits from new content licensing revenues.”
— Lavanya Chandrashekar, Q3 FY2026
“The Meta agreement is an important partnership as is our agreement with OpenAI. And both agreements are more than purely transactional. We'll be exchanging insights as the use of AI evolves exponentially. And you will be able to see the impact in our accounts over the next few years. There's no doubt about that.”
— Robert Thomson, Q3 FY2026
“As for AI itself, we are in the midst of advanced negotiations with several companies. And it is clear that many have come to recognize that the purchase of IP is as important as the acquisition of semiconductors or the securing of stable energy sources. IP powers AI. IP is an input imperative.”
— Robert Thomson, Q3 FY2026
“Bloomberg, for example, buying Dow Jones AI rights, the $1.5 billion Anthropic settlement, the OpenAI partnership, the Meta agreement and various other negotiations.”
— Robert Thomson, Q3 FY2026
“Now the way to think about these negotiations is that there will be substantial deals with the larger horizontal AI companies and then multiple meaningful agreements with specialist verticals who require both archive and updates in their areas of specialist expertise.”
— Robert Thomson, Q3 FY2026
“I divide up the benefits that we're getting from AI into a few different areas. The first I'd say is in helping to make our products better, more accessible to consumers and including new revenue streams. Obviously, the most obvious one is the licensing agreements that we have with the big platforms.”
— Lavanya Chandrashekar, Q3 FY2026
“But outside of that, we have seen significant benefits that we've been able to build AI into making Factiva more user-friendly and more widely usable. We're seeing that in our book publishing business where we are able to use AI. We're testing AI for both translation as well as for the creation of audiobooks.”
— Lavanya Chandrashekar, Q3 FY2026
“There's numerous examples of where -- on both Realtor and on REA using conversational search, I can go on.”
— Lavanya Chandrashekar, Q3 FY2026
“In terms of efficiencies, the most obvious ones is -- right now is like coding and using AI to be able to develop some of our product features faster to be able to test them using AI versus using people.”
— Lavanya Chandrashekar, Q3 FY2026
“Also just being able to assist our people in getting work done, whether it's in the newsroom or whether it is in back-office operations.”
— Lavanya Chandrashekar, Q3 FY2026
“quarter 4, we'll see some benefits from some content licensing revenues”
— Lavanya Chandrashekar, Q3 FY2026
“Speaking of the future, it is clear that expectations of AI's impact are evolving and that the more perceptive players have come to realize that provenance is paramount and that our proprietary content is valuable.”
— Robert Thomson, Q2 FY2026
“Anthropic has already agreed to pay $1.5 billion for using pirated books. We and our authors at HarperCollins naturally expect to receive our fair share of that payout starting later this calendar year.”
— Robert Thomson, Q2 FY2026
“We do believe an increasing number of insightful AI creators understand this content contradiction and will indeed pay a premium for our premium content.”
— Robert Thomson, Q2 FY2026
“AI companies must provide meaningful services with reliable, relevant contemporary information, not biased bilge or retrospective rubbish.”
— Robert Thomson, Q2 FY2026
“We are establishing new AI partnerships, which we expect to generate additional revenues, including an expanded deal with Bloomberg for AI rights for our peerless Dow Jones content.”
— Robert Thomson, Q2 FY2026
“We also bolstered Factiva's Gen AI capabilities with expanded licensing rights for more than 8,000 premium news and business information sources.”
— Robert Thomson, Q2 FY2026
“I have no doubt that you will find the Dow Jones proposition to be commercially compelling in the age of AI.”
— Robert Thomson, Q2 FY2026
“The team in Australia is savvily adopting AI applications that enhance the service for our customers and prove that AI is certainly more friend than foe. No one wants housing hallucinations.”
— Robert Thomson, Q2 FY2026
“As the Pope has sagely observed, we cannot let the algorithms write our stories, and we remain passionately committed to protecting the IP of our authors in the age of AI.”
— Robert Thomson, Q2 FY2026
“As AI angst afflicts some sectors, we believe the company is well positioned to profit over the coming quarters and years.”
— Robert Thomson, Q2 FY2026
“We are now a digital-first company with a strong and growing recurring revenue base, complemented by high-margin content licensing revenues.”
— Lavanya Chandrashekar, Q2 FY2026
“Factiva again posted revenue improvement, benefiting from new customer acquisition with a focus on Gen AI.”
— Lavanya Chandrashekar, Q2 FY2026
“AI is retrospective and synthesizes generic content sometimes imperfectly, but it is past tense, often past imperfect. We have contemporary, creative, proprietary content, which is only accessed if AI companies pay us, our woo or sue strategy.”
— Robert Thomson, Q2 FY2026
“We have a partnership with OpenAI, whose expertise will enhance our editorial business and real estate products, while our editorial will enhance OpenAI products.”
— Robert Thomson, Q2 FY2026
“AI models need data. Otherwise, they are just lines of inert code. They need real-time real-world data, and that's what we produce every single minute of every single day.”
— Robert Thomson, Q2 FY2026
“And the fact is we already have AI deals and negotiations are advanced for other AI deals.”
— Robert Thomson, Q2 FY2026
“there's a disconnect between the reality of the threat of AI and the reality of the needs of AI, and we are a company that fulfills the needs and face a very limited threat.”
— Robert Thomson, Q2 FY2026
ANALYST QUESTIONS ON AI
Q (Q3 FY2026, Entcho Raykovski (Evans & Partners)): Are you able to talk about the broad quantum of additional revenue from partnerships with AI platforms that you could receive? And if you can't give us specific numbers, perhaps how does it compare with what you've contracted to date with Meta and OpenAI? And again, maybe just drilling down into that, how much will the Meta, OpenAI partnerships deliver on a combined basis?
A: Robert Thomson: We obviously can't discuss the precise details of confidential deals, but the Meta agreement is an important partnership as is our agreement with OpenAI. And both agreements are more than purely transactional. We'll be exchanging insights as the use of AI evolves exponentially. And you will be able to see the impact in our accounts over the next few years. There's no doubt about that. As for AI itself, we are in the midst of advanced negotiations with several companies... there will be substantial deals with the larger horizontal AI companies and then multiple meaningful agreements with specialist verticals who require both archive and updates in their areas of specialist expertise. So these are indeed propitious times for our IP.
Q (Q3 FY2026, Craig Huber (Huber Research)): Can you speak about the benefits you guys are getting internally from the use of AI? And is there any way of quantifying what the annual cost savings is at this stage from using AI here to save costs, et cetera, make the company more efficient?
A: Lavanya Chandrashekar: I divide up the benefits that we're getting from AI into a few different areas... licensing agreements... build AI into making Factiva more user-friendly... testing AI for both translation as well as for the creation of audiobooks... conversational search on both Realtor and on REA... efficiencies... coding and using AI to be able to develop some of our product features faster... assist our people in getting work done, whether it's in the newsroom or whether it is in back-office operations... every one of our businesses are pursuing every one of these opportunities. (No dollar or headcount figure given.)
Q (Q2 FY2026, David Karnovsky (JPMorgan)): The market react to AI or the perception of AI and what that is going to mean for companies that operate in the business services or data spaces. What you view as reasonable to worry about versus maybe what the market is potentially overweighing or maybe missing here.
A: Robert Thomson: There is a fundamental misconception about the impact of AI on News Corporation. AI is retrospective... We have contemporary, creative, proprietary content, which is only accessed if AI companies pay us, our woo or sue strategy... Anthropic is already set to pay out $1.5 billion... partnership with OpenAI, whose expertise will enhance our editorial business and real estate products, while our editorial will enhance OpenAI products... AI models need data... Without compelling content, these AI operators are not omnipotent, they are not unique, they are eunuchs.
Q (Q2 FY2026, Entcho Raykovski (Evans & Partners)): Whether you're comfortable around the investment into Dow Jones, which is required, including to deal with any AI threat... quantify CapEx linked to technology... whether Claude Legal... see it as having a negative impact on your operations?
A: Robert Thomson: Absolutely not [negative impact from Claude Legal]. We are fully confident in the Dow Jones Professional Information business... contemporary content set... disconnect between the reality of the threat of AI and the reality of the needs of AI... we already have AI deals and negotiations are advanced for other AI deals. Lavanya Chandrashekar: Total CapEx to be up moderately this year... Dow Jones CapEx specifically within that is going to be modestly down this year... very strong free cash flow growth for the year despite the slightly higher increased investment in CapEx.
Q (Q2 FY2026, David Fabris (Macquarie)): Would the preference right now to be kind of just to monitor AI developments and execute the buyback?
A: Robert Thomson: We have the option of optionality. We are constantly looking for investments externally that makes sense for the business, but not at unreasonable prices... invest organically where we see growth opportunities... then there's the buyback. Lavanya Chandrashekar: On the buybacks... rate of purchases will be higher in the second half.