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This issue
Daily Brief — Tue, Sep 29
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Top story · Analyzed
OpenAI Ad Business at $1B Run Rate, Eyes $25B by Year-End — Digiday
Full Analysis →
Medium confidence
OpenAI's ad business is running at a $1 billion annualized rate seven months in, and the company is projecting $25 billion in actual revenue by end of 2025. That projection is already impossible to hit as of fall 2026, which tells you how seriously to take the $100 billion by 2030 number. The five hurdles Digiday names are measurement, privacy terms, inventory scarcity, SMB adoption, and ad plumbing, and those aren't speed bumps; they are the business. The Digiday reporting says buyers have already committed spend but can't find enough placements to deploy it, which means the ceiling on 2026 revenue through this channel is set by OpenAI's ad inventory, not by Criteo's ability to route demand into it. Criteo's core retargeting business has been roughly flat for years, so a genuine OpenAI contribution large enough to move the full-year total would have to overcome both that flat base and the scarcity ceiling in a single year. The opposite outcome, a visible OpenAI lift to Criteo's total, would require OpenAI to solve inventory, measurement, and privacy terms fast enough for real budgets to clear through Criteo's pipes in 2026, and the five hurdles named make that a 2027-plus story. The plumbing deal is real; the revenue timing is being pulled forward. Our prediction: Criteo's full-year 2026 revenue, reported in February 2027, will not show a distinct, disclosed OpenAI-driven revenue contribution material enough to lift its total above its 2025 revenue. Read source story
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Top story · Analyzed
Google Unifies YouTube Shorts and Open Web Video Buying in DV360 — Adexchanger
Full Analysis →
Medium confidence
Google just handed itself the allocation dial on every vertical video dollar that runs through DV360. The new Unified Vertical Video product lets advertisers buy YouTube Shorts and open web inventory through a single interface, with Gemini deciding how the budget splits between them. That sounds like new demand for open web publishers, but An AI optimizes toward Google's revenue, and the company that owns the auction is now also grading it. Gemini decides the split between YouTube Shorts, which Google owns and monetizes at full margin, and open web inventory, where Google earns a thinner slice. An AI that optimizes toward Google's performance signal has every reason to favor the inventory Google owns, and Scott Messer named exactly this CPM-compression risk at Programmatic IO. When a single automated engine arbitrages across a combined pool, the lower-margin supply, open web video, is where clearing prices get squeezed first. The opposite outcome, open web CPMs rising because walled-garden budget floods in, requires Google to voluntarily route meaningful spend off its own high-margin inventory, which its behavior under antitrust scrutiny gives no reason to expect. Our prediction: Open web video CPMs cleared through DV360 will fall year-over-year when Magnite reports full-year 2026 results in February 2027, as Gemini's blended optimization pushes spend toward Google-owned Shorts inventory. Read source story
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Top story · Analyzed
Lumen Research lands button in The Trade Desk, partners with Amazon and IAS — Adotat
Full Analysis →
Medium confidence
Lumen Research landing a native button inside The Trade Desk, plus partnerships with Amazon and IAS simultaneously, is not three lucky breaks. Mike Follett is making Lumen acquisition-ready, and the distribution deals are the proof of life a buyer needs before writing a check. IAS already has the partnership and gets first look; DoubleVerify has been the hungrier acquirer. Lumen struck three distribution deals at once (The Trade Desk, Amazon, IAS) without any evidence of scale in this story, which is the pattern of a company proving reach to raise its exit price rather than building an independent business. Attention is the obvious next bolt-on for verification vendors after brand safety and viewability, and IAS already holds the partnership that gives it first look, while DoubleVerify has been the more aggressive acquirer recently. The category is consolidating, and a subscale attention vendor with good signal is worth far more inside a giant's contract bundle than standing alone, so the independence path is the less likely one. The main way this call fails is timing: a buyer could wait for Lumen to prove premium pricing first, pushing the deal past Q1 2027. Our prediction: Lumen Research will be acquired by a measurement or verification company, most likely Integral Ad Science or DoubleVerify, with a deal announced on or before 2027-03-31. Read source story
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Tanja Mimica of Kovva on What the Future Holds for Media Buyers — The AdTechGod Pod
Full Analysis →
Medium confidence
AdTechGod hosts Tanja Mimica, founder of Kovva, a startup selling AI-powered workflow orchestration to media buying agencies. The episode is essentially Mimica's pitch: agencies are getting squeezed, and Kovva is the fix. The numbers she cites are bleak. Seventy-two percent of agencies cut prices in 2025, margins sit at 13% and falling, and 70% of revenue still goes to headcount. Kovva's answer is to automate the trafficking, pacing, QA, and discrepancy-check work that consumes junior buyers' days, pulling data across platforms into one place. Mimica also argues agencies can build "compounding intelligence" as the AI captures institutional knowledge automatically over time. She acknowledges the graveyard of prior attempts at that same idea (wikis, Confluence, Salesforce), and her answer is passive capture. That claim does a lot of work and the episode doesn't prove it. The pain is real. The position Kovva occupies, the connective tissue between platforms The Trade Desk, DV360, and Meta each own, is defensible right up until one of them decides to reach across the wall. Pilot the workflow. Skip the philosophy premium. Mimica's whole positioning rests on the DSPs building AI only within their walls, leaving the space between platforms open. That gap is precisely what an incumbent closes once it sees demand, because a buyer who orchestrates across platforms from The Trade Desk's console has less reason to leave it. The Trade Desk already rebranded its AI push and Google and Meta are pouring money into buy-side automation, so extending one step outside their own reporting is a small product move with a large lock-in payoff. The opposite outcome, incumbents staying politely inside their walls while startups own the connective layer, is the less likely one because glue between rivals is worth more to the platform that captures the buyer than to a neutral third party. Our prediction: By the 2027 agency budget cycle, at least one of the major buy-side platforms building AI inside its own walls (The Trade Desk, Google's DV360, or Meta) will ship or acquire a cross-platform workflow feature that reaches outside its own inventory, squeezing the standalone orchestration startups. Listen to podcast
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Companies Don’t Transform, People Do: Rishad Tobaccowala on Work, Agencies, and Reinvention — Signal & Noise
Full Analysis →
Medium confidence
Rishad Tobaccowala, a former Publicis strategist and current author, joins hosts Brett House and Rio Longacre to argue that AI transformation is a people problem, not a technology problem. The core claim: companies sandbox their AI (walling it off from the internet for safety), run versions that are six months to a year old, and then wonder why their employees get more out of ChatGPT on a personal laptop. Two claims survive scrutiny. First, the individual-vs-corporate capability gap is real. Epoch AI's data shows the cost to run a given level of AI capability has collapsed from roughly a $50,000 car to $296 in two years. Second, the billing pressure is arriving. Tobaccowala cites FT reporting that banks are already refusing standard law-firm associate rates. When the input cost of an hour of work drops 30 to 40% per year, the old bill doesn't survive the arithmetic. His therapy-as-top-AI-use-case claim does not survive it either. If you sell time, model your business at a 10% annual price cut and see what breaks. That's the exercise, regardless of whether you buy the book thesis. Tobaccowala says clients are demanding roughly 10% annual fee cuts and cites FT reporting that banks are refusing standard law-firm associate billing rates, which means the pressure is already live in the same headcount-time business model agencies use. The mechanism is cost: Epoch AI's data shows the price to produce a given level of AI work is collapsing fast, so any buyer paying old rates for work that is now cheaper to make can see the margin and will push to reprice. Holding companies talk about pricing structure on earnings calls constantly, and Publicis in particular has built its whole outperformance story on being ahead of this shift, so it has a strong incentive to say so out loud. The opposite outcome, all three staying silent on pricing model change through an entire earnings cycle while the pressure is this public, is the less likely world. Our prediction: By the Q4 2026 earnings calls of Publicis, WPP, and Omnicom (reported February to March 2027), at least one of the three holding companies will publicly report client contract terms shifting away from fixed headcount-based fees toward output- or outcome-based pricing. Listen to podcast
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