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Internet Content & Information · mkt cap $3.1B · calls: Q1 FY2026 vs Q4 FY2025
47.0 conviction · conf-adj 45
conf 4/10 partial
enthusiasm:24.0 · trend:8 · quantifies:5 · impact:0 · under_radar:5 · credibility:0 · business_impact:8 · disruption:-6 · commitment:0 · confirmation:3
Enthusiasm latest 8 / prev 7 (rising)
IAC's People Inc. has operationalized a three-vector AI thesis: Decipher (AI-powered audience targeting tool) driving 200–300bps of incremental topline in H2 2026; AI content licensing deals already live with Meta, OpenAI, and Microsoft generating measurable licensing revenue; and internal AI adoption enabling 50% more content output at flat cost. The thesis is credibly grounded — non-session revenue (the bucket containing all three vectors) is already 41% of digital revenue and growing 24–37% per quarter — though management does not disaggregate AI's specific dollar contribution from other non-session sources. The primary residual risk is that AI model companies, once their training corpora are complete, reduce the urgency of new content licensing, but management's pivot to fresh-content production addresses this directly.
GROUNDED NEXT-FY IMPACT vs CONSENSUS
Grounded on actual base — revenue $2.4B · net income $-0.1B · net margin -4.3% · diluted EPS -1.33
These are next-fiscal-year annual uplift estimates, not next-quarter numbers.
Aggregate next-FY est. rev uplift: 1.96% · next-FY EPS uplift: % · vs analysts: inline · priced in: medium (model's call-read: high; verdict above is the hard-data one used for ranking) · confidence: 4/10
| Claim | Figure | Arithmetic | Next-FY Rev % | Next-FY EPS % |
|---|
50% more content at same cost vs ~3 yrs ago
productivity · soft | +50% content volume at flat cost | No content cost/headcount base disclosed anywhere; management frames it 'at the same cost' — a volume/quality-per-dollar capacity story, not an opex SAVING. Illustrative only (X): if content ≈25% of COGS ($794.3M) → pool ≈$198.6M and 33.33% efficiency (50/150) → ~$66M pretax counterfactual save, but base is undisclosed and NI is a loss, so no hard rev/EPS. Soft. | | |
Decipher +200–300 bps digital growth (H2 FY26→FY27)
revenue | 200–300 bps | Same driver as the FY26 D/Cipher+ guide below — forward (H2'26/'27) restatement. Standalone-if-phased (X): mid 250 bps, H2-weighted → 125 bps FY26 blend on FY26 digital proxy $1,838.6M = $22.98M; 100×$22.98M/$2,393.2M = 0.96% consolidated. Overlaps D/Cipher+ — NOT added to aggregate to avoid double-counting. | 0.96 | |
D/Cipher+ = 2–3 pts of FY2026 digital revenue growth
revenue | 2–3 pts of mid-to-high-single-digit digital growth, full-year FY2026 | Anchored % (mid 2.5 pts of DIGITAL revenue growth, full-year FY26 → take full midpoint, no fraction). Digital absolute undisclosed → bound against total revenue $2,393.2M: incremental ≈$45–46M (ceiling 2.5% if digital=total, floor ~1.25% if digital≈half). rev_uplift_pct = 100×$46M/$2,393.2M = 1.92% consolidated (Y's bound gives ~1.9–2.0%). EPS null: GAAP NI −$104.0M and FY26 consensus EPS −$0.73 are both losses → no positive denominator. | 1.92 | |
Non-session-based rev +37% YoY, 38% of digital (Q4'25)
revenue · soft | 37% YoY; 38% of digital | Mixed basket (D/Cipher + events + creator/social + Apple News + AI licensing). AI is A driver, not isolable; digital absolute undisclosed. Historical Q4 run-rate, not a forward $ guide → cannot size AI slice without inventing. Soft. | | |
Non-session-based rev +24% YoY, 41% of digital (Q1'26)
revenue · soft | 24% YoY; 41% of digital | Same mixed basket, later quarter (Decipher + social/custom + Apple News + licensing incl. Meta). No isolable AI dollar figure, no disclosed digital base → soft. | | |
Licensing +36% YoY (Q4'25); Meta AI deal 'contributed a little'
revenue · soft | 36% licensing growth; AI/Meta portion 'a little bit' | Licensing $ not disclosed; management explicitly says the AI-content (Meta) piece 'contributed a little bit' — 36% is driven mainly by Apple News/syndication, not AI. AI slice qualitatively tiny and unsized → cannot anchor. Soft. | | |
Assumptions: Next FY = FY2026. Claims apply to DIGITAL revenue (People Inc/Dotdash Meredith); digital absolute is undisclosed, so the 2.5-pt D/Cipher+ midpoint is bounded against TOTAL revenue $2,393.2M (FY25): floor ~1.25% (digital≈half), ceiling 2.5% (digital=total), midpoint ~1.9% (~$46M). D/Cipher+ guided full-year FY26 → full 2.5-pt midpoint. Decipher 250 bps mid, H2'26 phasing → 125 bps FY26 blend, EXCLUDED from aggregate (overlaps D/Cipher+). Tax 21% moot — company loss-making, no positive EPS denominator (GAAP NI −$104.0M; FY26 consensus EPS −$0.73), so all EPS uplifts null. No supplier-side AI-infra revenue in claims.
Top line: Only quantified, sizeable, next-FY AI contributor is D/Cipher+ (AI ad-targeting): guided to add 2–3 pts (mid 2.5) to FY26 DIGITAL revenue growth. Digital absolute undisclosed, so sized against total → ~$30–60M incremental (~1.25–2.5%, midpoint ~$46M ≈ 1.9–2.0% of the $2,393.2M base). Decipher (+200–300 bps; ~0.96% if phased alone) is the same driver — not double-counted. Non-session-based growth (37%/24%, 38–41% mix) and licensing +36% are mixed baskets where the AI slice is real but not isolable, and the Meta AI deal explicitly 'contributed a little.' Net: a modest low-single-digit-% AI lift sitting inside a total consensus expects to FALL ~23% in FY26 (Angi spin + print decline) — a bright spot in a shrinking top line, not a re-rating.
Bottom line: Not computable as an EPS uplift %. GAAP NI −$104.0M and FY26 consensus EPS −$0.73 are both losses — no positive earnings denominator to flow incremental revenue against; per the loss-making guardrail est_eps_uplift_pct is null. The '50% more content at same cost' claim is a capacity/unit-economics story with no disclosed cost base, so it cannot be booked as a dollar saving (illustrative ~$66M pretax would swamp a −$104M NI as a distortion). Directionally AI helps margins, but nothing here is quantifiable to the bottom line.
[EPS uplift n/m (loss-making base)] The one hard figure (D/Cipher+ = 2–3 pts of FY26 digital growth) was given AS Q4'25 guidance, so the 6 covering analysts already bake it into the $1,838.6M FY26 consensus (−23.2% vs $2,393.2M FY25). The ~$30–60M (~2%) AI contribution sits inside consensus, not above it. FY27 consensus revenue $1,846.5M is only +$7.9M (+0.4%) vs FY26 — far below a full ~$46M digital tailwind — implying AI growth is largely in FY26 guidance or consensus embeds little incremental AI licensing into FY27. EPS swing FY26 −$0.73 → FY27 +$1.02 on ~78M shares can't be attributed to AI without segment-margin disclosure. The genuinely un-priced piece is the unquantified AI-licensing pipeline ('expected and unexpected players,' Meta 'a little') — real optionality, but unsized, so it stays soft.
MODEL CONSENSUS (impact)
partial
Agree: adopter-side, EPS null (loss-making), D/Cipher+ the only sizeable next-FY driver ~$46M, all soft claims. Conflicts on magnitude/verdict resolved to schema-correct, better-justified, or more conservative values.
Conflicts reconciled
- D/Cipher+ rev_uplift_pct: X=1.92 vs Y=2.5 -> used 1.92 because schema wants % of CONSOLIDATED revenue ($46M/$2,393M); Y's 2.5 was pts-of-digital-growth
- D/Cipher+ soft: X=false vs Y=true -> used false because the 2–3 pt figure is anchored (guardrail: anchored stays soft=false even if base imprecise)
- Decipher claim: X=0.96/false vs Y=null/true -> used 0.96/false but flagged as overlapping D/Cipher+ and excluded from aggregate
- est_rev_uplift_pct: X=1.92 vs Y=2.0 -> used 1.96 (average; both defensible)
- vs_analyst_expectations: X=unclear vs Y=inline -> used inline (Y better-justified: figure was Q4'25 guidance, already in consensus)
- priced_in: X=medium vs Y=high -> used high (more conservative; guided figure baked in)
- confidence: X=5 vs Y=4 -> used 4 (lowered per conflicts)
| Field | Opus 4.8 | GPT-5.5 |
|---|
| Rev uplift % | 2.0 | – |
| EPS uplift % | – | – |
| Priced in | high | – |
| vs analysts | inline | – |
| Confidence | 4 | – |
| Top line | The only quantified, sizeable, next-FY AI contributor is D/Cipher+ (the AI ad-targeting tool): management guides it to add 2-3 points (midpoint 2.5) to FY2026 DIGITAL revenue growth. Because digital revenue absolute is never disclosed, sizing it against total revenue gives a bounded ~$30-60M incremental (~1.25-2.5% of the $2,393M base; midpoint ~$45M = ~1.9-2.0%). Everything else (non-session-based growth of 37%/24%, licensing +36%) is a mixed basket where the AI slice is real but not isolable, and the Meta AI-content deal is explicitly described as contributing only 'a little.' Net: a modest, low-single-digit-% revenue lift, set against a total that consensus expects to FALL 23% in FY2026 (Angi spin + print decline) — AI is a bright spot inside a shrinking top line, not a growth re-rating. | – |
| Bottom line | Not computable as an EPS uplift %. GAAP net income is -$104.0M and FY2026 consensus EPS is -$0.73 — both losses, so there is no positive earnings denominator to flow incremental revenue against; per the loss-making guardrail est_eps_uplift_pct is null. The content-productivity claim ('50% more content at the same cost') is a margin-of-the-future / capacity story with no disclosed cost base, so it cannot be booked as a dollar saving either. Directionally AI helps unit economics, but nothing here is quantifiable to the bottom line. | – |
| Reasoning | The one hard figure (D/Cipher+ = 2-3 pts of FY2026 digital growth) was given AS guidance on the Q4'25 call, so the 6 covering analysts already have it baked into the $1,838.6M FY2026 consensus (which is -23.2% vs $2,393.2M FY2025). The ~$30-60M (~2% of revenue) AI contribution sits inside that consensus, not above it. The genuinely un-priced piece is the unquantified AI-licensing pipeline ('all kinds of players, both expected and unexpected,' Meta deal 'a little bit') — real optionality, but management gave no number, so it stays soft and cannot move the estimate gap. | – |
Rows highlighted where the two models disagreed.
QUANTIFICATIONS
Content production volume vs. cost: 50% more content at the same cost vs. 3 years ago (Current run-rate as of Q1 FY2026, comparing to ~FY2023 baseline, bottomline)
“We are making 50% more content than we made 3 years ago at the same cost, and I would argue at an incredibly -- at a way higher quality and everything is still made by humans. We are able to do that because all of our processes, we are able to streamline with AI.”
Decipher contribution to digital revenue growth rate: 200–300 basis points (H2 FY2026 and into FY2027, topline)
“we think it adds 200 to 300 basis points of growth to our growth rate back half of this year and into next year”
D/Cipher+ contribution to digital revenue growth rate: 2–3 percentage points of mid- to high single-digit total digital revenue growth guidance (Full year FY2026 (guided on Q4 FY2025 call), topline)
“of the growth, the mid- to high single-digits growth, 2 to 3 points of that this year will be D/Cipher+”
Non-session-based revenue growth (AI licensing + Decipher as primary drivers): 37% YoY growth; 38% of total digital revenue (Q4 FY2025, topline)
“non-session-based revenue sources are now the fastest-growing part of our business. Again, non-session-based revenue, revenue not based on web sessions, now comprises about 38% of total digital revenue, and it grew 37% year-over-year in Q4. This growth is led by D/Cipher, our events businesses, creator and social models, including the Feedfeed acquisition, our deep partnership with Apple News and our AI licensing deals.”
Non-session-based revenue growth (AI licensing + Decipher as primary drivers): 24% YoY growth; 41% of total digital revenue (Q1 FY2026, topline)
“Similar to last quarter, this is led by Decipher, our AI-powered targeting tool, ad-targeting tool by our social and custom ad programs by Apple News and by strong licensing performance, including the addition of our Meta deal.”
Q4 FY2025 Licensing revenue growth (includes AI content deals): 36% YoY (Q4 FY2025, topline)
“Finally, Licensing grew 36%, driven by robust engagement with our content across Apple News and content syndication partners and the new AI content partnership with Meta contributed a little bit to growth as well.”
PAST (realized)
- Google AI Overviews caused a ~50% drop in Google search referrals over 2 years, disintermediating session-based traffic — People navigated through it to a more diversified business. (Q4 FY2025, Barry Diller / Neil Vogel)
- Meta AI content licensing deal signed and contributed to Q4 FY2025 Licensing revenue growth of 36%. (Q4 FY2025, Christopher Halpin)
- AI licensing deals with Meta and OpenAI ('All You Can Eat' foundational-LLM category) and Microsoft (pay-per-use marketplace) are already in place. (Q1 FY2026, Neil Vogel)
- Non-session-based revenue — driven partly by Decipher (AI-powered targeting) and AI licensing — grew 37% YoY in Q4 FY2025 and 24% YoY in Q1 FY2026. (Q4 FY2025 and Q1 FY2026, Neil Vogel / Tim Quinn)
- Decipher's integration of the M&I legacy media agency business unlocked independent agency and political advertiser distribution and delivered margin benefit in Q1 FY2026. (Q1 FY2026, Tim Quinn)
CURRENT (now)
- Decipher, described as an 'AI-powered targeting tool,' is the primary driver of non-session-based revenue and uses first-party data to target audiences across the Open Web and CTV. (Q1 FY2026, Neil Vogel)
- People is producing 50% more content than three years ago at the same cost, attributed to AI-streamlined processes across the organization, with all content still human-authored. (Q1 FY2026, Neil Vogel)
- AI is deployed in the commerce business to understand what drives consumer response to offers. (Q1 FY2026, Neil Vogel)
- The entire 3,500-person organization has been trained on AI; there is no centralized AI team — each employee is responsible for applying AI in their own role. (Q1 FY2026, Neil Vogel)
- Non-session-based revenue (comprising AI licensing, Decipher, Apple News, social/commerce) now represents 41% of total digital revenue (up from 35% a year earlier). (Q1 FY2026, Neil Vogel / Tim Quinn)
- Vivian (clinician marketplace) has AI products described as 'industry changing,' with new CEO Bill Kong focused on driving them deeper into customers. (Q4 FY2025, Christopher Halpin)
- AI at MGM is used internally to improve operational systems but is not a customer-facing disintermediation risk by management's assessment. (Q1 FY2026, Barry Diller)
FORWARD (guidance)
- Decipher expected to add 200–300 basis points to People's digital revenue growth rate in H2 2026 and into 2027. (Q1 FY2026, Tim Quinn)
- Additional AI licensing deals anticipated; People is in discussions with 'all kinds of players, both expected and unexpected' and intends to be early at the table with all AI model providers. (Q1 FY2026, Neil Vogel)
- Shift from evergreen to new/fresh content is expected to position People increasingly favorably with AI model companies, which need a constant supply of new high-quality information. (Q1 FY2026, Christopher Halpin)
- Brands are framed as a durable AI-era asset: trust and editorial identity become more valuable as AI-generated content floods the market. (Q1 FY2026, Neil Vogel)
- Management expects the AI-driven content licensing market to mature into two durable revenue tracks: flat-fee foundational-LLM deals and pay-per-use marketplace deals. (Q1 FY2026, Neil Vogel)
TRACK RECORD — PROMISE vs DELIVERY
—/100 (no quantified promises) no-quantified-promises 6 calls reviewed
IAC/People management talks extensively about AI disruption, licensing (OpenAI, Microsoft, Meta), and D/Cipher, but rarely commits to numeric AI-specific targets with deadlines; the few quantified, AI-adjacent operating guides they did give (session pressure, ad rebound, FY2025 digital growth) were generally met, while broader AI outcome pledges stay qualitative.
Core sessions down 4%-6% in Q3 amid Google AI-overview pressure — promised Q3 FY2025
delivered Management reported core sessions were down about 6% that quarter, within the guided range.
Return to advertising revenue growth in Q4 despite AI-driven session pressure — promised Q3 FY2025
delivered Q4 FY2025 advertising revenue grew 9% even as core sessions fell 13%.
DDM/People digital revenue 10%+ for FY2025 (licensing cited with OpenAI/Apple) — promised Q4 FY2024
delivered Full-year FY2025 digital revenue grew 10%, matching the raised outlook.
People digital revenue and digital EBITDA up mid- to high single digits in FY2026 — promised Q4 FY2025
too-early Q1 FY2026 digital revenue rose 8% with guidance reaffirmed; full-year not yet reported in this set.
D/Cipher to be a meaningful revenue contributor in 2026 — promised Q3 FY2025
partial Later calls cite D/Cipher as fastest-growing and core to 24% non-session revenue growth, but never quantify 'meaningful' versus the pledge.
Vivian AI in products/processes to change healthcare staffing at 2M-clinician scale — promised Q1 FY2025
quietly-dropped No numeric AI adoption, productivity, or revenue targets were set or reported in subsequent IAC calls.
PRICED-IN (REFINED)
MEDIUMEst. revisions flat · Fwd P/E 145.0 · EV/Sales 1.5x
AI claim maps to People Inc., Search, Care.com
Analyst sentiment is not migrating up: June 2026 showed fewer strong buys (2 vs 3) and more holds (4 vs 3–4) versus prior months, while price targets are roughly flat (lastMonthAvg $50 vs lastQuarterAvg $50.2) with only a modest lift vs lastYearAvg $48.55; forward consensus embeds a restructuring-lumpy path (FY26 revenue ~$1.84B and negative EPS) rather than accelerating AI-driven growth. Valuation is mixed: fwd P/E of 145 on ~$0.29 next-FY EPS prices a sharp earnings recovery, but EV/Sales ~1.5x and P/B ~0.7x are not stretched on a sales/asset basis. AI upside would most plausibly flow through People Inc., Search, and Care.com—not consolidated revenue alone—so flat revisions plus a rich earnings multiple but reasonable sales multiple yields medium priced-in.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
2Q4 FY20245Q1 FY20255Q2 FY20254Q3 FY20256Q4 FY20257Q1 FY2026
AI enthusiasm across 6 calls — trend ↗ rising
From no AI story to Vivian and People disruption talk, then Decipher AI targeting tied to nonsession revenue growth.
RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY
7/10 qualitative impact material near-term · mixed evidence
Where AI matters: People Inc. Decipher ad-targeting, AI content licensing, editorial cost productivity
People (~three-quarters of continuing revenue) has deployed AI into live revenue lines—Decipher/D/Cipher+ with guided 200–300 bps digital growth contribution, Meta/OpenAI/Microsoft licensing, and ~50% more human-authored content at flat cost—but consolidated uplift is modest (~2% on FY26 base from the hardest guide) and management does not break out AI dollars inside fast-growing non-session revenue.
Caveats: Licensing may taper once major LLM training corpora are saturated unless fresh-content deals scale; AI dollars are not disaggregated within non-session revenue (Decipher, Apple News, social, licensing bundled); Session/SEO and AI-overview traffic risk persists for the remaining session-based mix; Consolidated IAC impact is diluted by Search and Care.com with less evidenced AI monetization
AI DISRUPTION / CANNIBALIZATION RISK two-sided · 5/10
AI already disintermediated session/search traffic (~50% Google referral decline) and keeps pressuring commodity publishing, yet People pivoted toward durable non-session economics (41% of digital, +24–37% YoY) via first-party targeting and model licensing where trusted brands and fresh content matter.
OPTIONS / MARKET STRUCTURE
option liquidity: fair
proxy inputs — dollar-ADV $50M · beta 1.072 · px $42.24
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
Mixed — insiders selling, institutions adding, management language 4/10 measured.
INSIDERS selling 1 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) adding as of 2026-03-31: 44 new / 66 closed positions; 165 increased / 108 reduced; institutional ownership -0.91pp; -22 net 13F holders
MGMT LANGUAGE 4/10 measured AI barely discussed; Decipher named as growth driver with one AI label and qualified H2 outlook.
commit “this is led by Decipher, our AI-powered targeting tool, ad-targeting tool”
commit “you saw some of that benefit -- some of that accrued to our benefit in Q1”
hedge “this move is expected to accelerate growth and adoption of December, particularly in the second half of this year”
VERBATIM AI QUOTES
“Similar to last quarter, this is led by Decipher, our AI-powered targeting tool, ad-targeting tool by our social and custom ad programs by Apple News and by strong licensing performance, including the addition of our Meta deal.”
— Neil Vogel, Q1 FY2026
“If you look at where AI is for us from here, we feel very strongly about this. We have more opportunities going forward than we believe we have risks. If you go back in time 1 year or 2 years and you look at the risk of AI for us, they all had to do with search. And is AI going to disintermediate our audience sources. That already happened. And we came off the -- other side of it with a more diversified business and I believe is a stronger business. Now we're looking at AI as opportunity.”
— Neil Vogel, Q1 FY2026
“We are making 50% more content than we made 3 years ago at the same cost, and I would argue at an incredibly -- at a way higher quality and everything is still made by humans. We are able to do that because all of our processes, we are able to streamline with AI.”
— Neil Vogel, Q1 FY2026
“We are able to use AI and Decipher to really tighten our ad targeting. We're able to use AI in our commerce business to really understand what makes people respond to offers.”
— Neil Vogel, Q1 FY2026
“And we've taught our 3,500-person organization, how do you use AI, -- like we don't have an AI [indiscernible] it is your job in your seat to understand who AI applies to you, and it's really, really working.”
— Neil Vogel, Q1 FY2026
“Brands are the -- they're there -- it's a value now. People trust us. They know what they're going to get. And we can now harness AI to make our brands and our brand offerings stronger. We think the opportunities are massive.”
— Neil Vogel, Q1 FY2026
“these seem to be bucketing into 2 categories. One, the All You Can Eat deal, which is sort of like the foundational LMs like our Meta deal and like our OpenAI deal. And then there are the more marketplace deals like our Microsoft deal, which will be pay-per-use deals.”
— Neil Vogel, Q1 FY2026
“we want to be early and we want to seed at the table with everybody, and that is our take. And so far so good.”
— Neil Vogel, Q1 FY2026
“We have incredible first-party data. We have all kinds of AI powering going on”
— Neil Vogel, Q1 FY2026
“we think it adds 200 to 300 basis points of growth to our growth rate back half of this year and into next year”
— Tim Quinn, Q1 FY2026
“That revenue is comprised of licensing, which is everything from Apple News to our AI deals to content syndication”
— Tim Quinn, Q1 FY2026
“the pivot, the strategic shift that Neil and Tim have already talked about of moving all of the content development overwhelmingly from evergreen to new content makes us even with so many other content sources getting washed out to see in the competitive pressures really positions people link even better with all of the AI models as a constant producer of new information, which is what they need”
— Christopher Halpin, Q1 FY2026
“I also have a natural hedge inside your own house. AI at MGM is actually meaningless. It is obviously being used internally to make the systems better in all sorts of ways. But nothing is going to get no AI until we get into the final simulation, whenever that comes. But nobody is going to get between a customer and one of our resorts is not possible to happen.”
— Barry Diller, Q1 FY2026
“People's financial performance amid increasing AI disruption speaks really loudly. AI overviews are now appearing on most of our queries, and we're delivering record results.”
— Barry Diller, Q4 FY2025
“This growth is led by D/Cipher, our events businesses, creator and social models, including the Feedfeed acquisition, our deep partnership with Apple News and our AI licensing deals.”
— Neil Vogel, Q4 FY2025
“the new AI content partnership with Meta contributed a little bit to growth as well”
— Christopher Halpin, Q4 FY2025
“its AI products, we think, are industry changing. So Bill is the ideal leader. He's grown -- he's developed across product, marketing and other channels and has really performed extremely well. Parth is excited for him to take over as CEO, and it's really about driving our AI products deeper into our customers.”
— Christopher Halpin, Q4 FY2025
“of the growth, the mid- to high single-digits growth, 2 to 3 points of that this year will be D/Cipher+”
— Neil Vogel, Q4 FY2025
“we will have figured out new business lines, which can't disintermediate by AI. But what I'm saying is we know so much about all these domains, and we can use that creatively to say, all right, what is possible for us to do out of that knowledge that we can create a new product or service.”
— Barry Diller, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Justin Patterson (KeyBanc)): First, I would love to hear more about your top priorities for Decipher for the year? And then second, just as you step back and look at how AI has changed the traffic funnel, what are some of your latest learnings there and how you think you can continue standing up a durable business for the next few years?
A: Neil Vogel answered the AI traffic question first: the risks of AI (search disintermediation) 'already happened' and People came out with a more diversified, stronger business. Now AI is an opportunity: People makes 50% more content at the same cost via AI-streamlined processes, uses AI and Decipher to tighten ad targeting, and uses AI in commerce to understand offer response. The org of 3,500 has been taught AI is each employee's individual job. On Decipher, Vogel said TAM expands across the Open Web and CTV, first-party data is strong, 'all kinds of AI powering going on,' and Tim Quinn added it is expected to add 200–300 bps to growth in H2 2026 and into 2027.
Q (Q1 FY2026, Youssef Squali (Truist)): Any chance of seeing maybe additional licensing deals announced? [in context of AI licensing]
A: Neil Vogel said AI licensing deals are bucketing into two categories: 'All You Can Eat' foundational-LLM deals (Meta deal, OpenAI deal) and marketplace pay-per-use deals (Microsoft deal). Since locking traffic, People has entered productive discussions with 'all kinds of players, both expected and unexpected.' Expects more deals to report in the future: 'we want to be early and we want to seed at the table with everybody.' Christopher Halpin added the strategic shift to new vs. evergreen content positions People better with AI models needing fresh information.
Q (Q4 FY2025, Dan Kurnos (StoneX)): Maybe first for Neil, any directional way to think about sizing or helping us think about D/Cipher+ this year? And should we think of any announcements coming the way that Roku used Nielsen ACR as a data and conversion layer with Amazon DSP?
A: Neil Vogel called Decipher the 'fastest-growing off-platform business in terms of headcount, in terms of revenue.' It expands TAM to CTV and the Open Web via first-party data targeting. Guided to 2–3 percentage points of the company's mid- to high single-digit digital revenue growth target coming from D/Cipher+. Jim Lawson has found his footing, team is in place, and it is 'go time on this business.'
Q (Q4 FY2025, Justin Patterson (KeyBanc)): How scalable are some of these new curated experiences? How do you think that changes your relationships with audiences and monetization opportunities? And how should we think about just the investment levels to support this transformation in the AI era?
A: Neil Vogel framed the answer around building direct audience relationships (MyRecipes: 3M registered users, 24M recipes saved in under a year with no outside marketing; PEOPLE app: 3x web visit duration, 20-min sessions for game players). These products teach new skills, have 'no Google between us and these audiences,' and represent a direct monetization future. Barry Diller noted the Intern video series grew from $50–80K sponsorships per season to ~$500–700K entirely in-house. Christopher Halpin added Vivian's AI products are 'industry changing' and the new CEO's priority is driving them deeper into customers.