Podcast episode

Life Beyond Gaming: Phylicia Koh on How Play Became the Operating System for Consumer Apps

by Ken Rona ·July 27, 2026 ·Signal & Noise

agent-framework ai-in-adtech creative-ops identity performance-marketing

TL;DR

Phylicia Koh, General Partner at Play Ventures (a VC firm focused on gaming and consumer apps), joins Signal & Noise hosts Brett House and Rio Longacre to argue that gaming's operational playbook — engagement mechanics, creative volume, performance marketing discipline — has become the template for modern consumer apps. The most forward-looking segment covers agentic advertising, where Koh argues the missing piece isn't buyer or seller agents but a consumer-side agent that explicitly represents user preferences and permissions — a layer she believes could underpin the next trillion-dollar company.

What was covered

Gaming's scale, often underappreciated: Koh cites gaming at roughly $200 billion annually, real-money gaming at ~$87 billion, and consumer apps at ~$85 billion — together approaching half a trillion in direct-to-consumer revenue, dwarfing the movie (~$34B) and music (~$29B) industries combined.
"Playable apps" as an investment thesis: Play Ventures defines "playable apps" as consumer applications that apply the full gaming toolkit — user acquisition discipline, freemium monetization, cohort analytics, live operations — not just surface-level gamification. Examples discussed: Duolingo (language learning), Robinhood (investing), Discord/Slack (both traced to gaming origins).
Apple's App Tracking Transparency (ATT) and the creative volume response: Post-ATT (Apple's 2021 privacy change that blocked app-level user tracking), leading mobile game publishers shifted from deterministic user-level measurement to probabilistic methods and massively increased creative testing — top publishers now produce 1,000–4,000 new ad creatives per month per title. AI is now making this volume achievable for a broader set of industries.
Microdramas as a gaming-derived format: Koh says microdramas (short-form vertical video with cliffhangers and pay-to-unlock mechanics) grew from zero to roughly $10 billion globally in about four years, with China alone reaching ~$3 billion in two to three years. The format borrows directly from mobile free-to-play monetization: rewarded ads, login bonuses, and episodic unlock mechanics.
Live operations ("live ops") as a content sustainability model: Pre-AI, major Chinese game studios ran live-ops teams of up to 200 people per game to push real-time events and seasonal content. AI now allows a team of ~10 to approximate that output, democratizing a capability previously dependent on sheer headcount.
Agentic advertising — the missing consumer layer: Koh reviews the emerging InMobi (buy-side) and Scope3 (sell-side) agent announcements and argues both miss the most valuable participant: a consumer agent that knows preferences, manages ad permissions by time of day and brand affinity, and can transact on behalf of the user. She frames whoever builds this trusted, accessible consumer-agent layer as potentially the next trillion-dollar company.
Women's health as a second high-conviction investment category: Koh names women's health as chronically under-researched and underserved globally, particularly outside wealthy, highly industrialized markets, and says it is her top investment interest outside Play Ventures' core gaming/apps mandate.

Notable claims & predictions

Phylicia Koh: "If you own the consumer agent layer, you have data that's massive. You are the next trillion-dollar company basically." — framing a consumer-representation agent as the single largest white space in the agentic advertising stack.
Phylicia Koh: Top mobile game publishers today run "anywhere from one thousand to two thousand new user acquisition creatives per month" — and across a large portfolio that number compounds dramatically. Pre-AI this required enormous teams; AI has made a team of ~10 competitive with what previously required 100–200 people.
Phylicia Koh on gaming's post-COVID trajectory: "The amount of revenue that gaming still generates today compared to pre-COVID is higher. There was a correction, but it didn't fall back to where it was before." She frames the COVID spike as pulling forward a growth curve that then continued at a higher baseline.
Phylicia Koh on consumer willingness to share data: "I don't think people have a problem with advertising. I think they have a problem when it's irrelevant and it's poor and it's the wrong time." She uses Netflix's ad-supported tier growth as evidence that consumers accept advertising when the value exchange is clear.
Phylicia Koh on microdramas in China: "Microdramas in China are bigger than their movie industry" — citing the format's rapid domestic scale as proof that gaming monetization mechanics transfer directly to entertainment.

Fact check

Claim (Brett House / Phylicia Koh): Gaming industry revenue of ~$184–200 billion annually versus movies at ~$34 billion and music at ~$29 billion. Assessment: The broad order of magnitude is consistent with widely cited industry estimates (Newzoo, IFPI, MPA data), though exact figures vary by methodology and year, and the movie figure typically covers theatrical only, not home entertainment. The claim is plausible but the comparison is true but omits context — the movie figure ($34B) represents theatrical box office alone; total filmed-entertainment revenue including streaming, home video, and licensing is substantially larger, which would narrow the gap Koh and House are describing.
Claim (Phylicia Koh): Microdramas grew "zero to $10 billion in about four years," with China reaching "zero to $3 billion in about two to three years." Assessment: Unverified — no independent industry figure is provided or sourced in the transcript. The microdrama market is real and growing rapidly, but the specific dollar figures are not traceable to a named report in this conversation. Treat as unverified.
Claim (Phylicia Koh): Scopely's Monopoly Go "hit a billion dollars revenue in record time." Assessment: Consistent with widely reported figures (the game is publicly reported to have crossed $1 billion in under a year of launch in 2023), but no source is cited in the transcript. Plausible / unverified against a specific timeline.
Claim (Brett House): Slack and Discord "were all gaming companies." Assessment: Partially misleading. Discord was founded explicitly for gaming communication and retains those roots. Slack was not founded as a gaming company — it grew out of Tiny Speck's internal tooling while building the game Glitch, but the founders' primary identity was as a game studio, not a gaming-ecosystem company. The nuance is that Slack's communication tooling emerged as a byproduct of game development, not that Slack was a gaming company. Koh does not explicitly correct this framing.

Why this matters for ad-tech operators

Creative volume is the new targeting. The mobile gaming industry's post-ATT pivot to 1,000–4,000 creatives per title per month — now being replicated by non-gaming consumer apps — has direct implications for creative infrastructure vendors, agencies, and DCO (dynamic creative optimization) platforms. Procurement models still priced on a per-asset basis are structurally misaligned with where AI-enabled advertisers are heading.
Consumer-agent architecture is an unaddressed gap in the agentic ad stack. Current industry investment is concentrated on buy-side and sell-side agents (InMobi, Scope3). Koh's argument that the consumer-agent layer is the highest-value and most data-rich position is a useful forcing question for DSPs, SSPs, and identity players building a

Full analysis

Play Ventures GP Phylicia Koh makes a claim that should stick in the throat of every ad-tech operator building agents right now: the whole industry is arming buyers and sellers with AI negotiators, and nobody is building the one for the person actually on the receiving end of the ad. She thinks that consumer-side agent is the trillion-dollar white space. The rest of her argument, that gaming's operational playbook has quietly become the operating manual for all consumer apps, is the setup that makes the agent claim worth taking seriously.

This is a briefing, so the question is: what does the gaming-as-template thesis, and the consumer-agent gap, mean for publishers, agencies, DSPs, SSPs, identity, and measurement? Nothing forces a decision this week. But it reframes where a chunk of 2026-2027 roadmap money is pointed.

The Market Analyst. Follow where the capital is already flowing. InMobi shipped a buy-side agent, Scope3 shipped a sell-side one, both on the ADCP protocol. Koh's read is that both are necessary and neither is the prize. If she's right, the identity and consent players (LiveRamp, ID5, the cleanroom crowd) sit closest to the consumer-agent layer, because a consumer agent is a permissions-and-preferences engine, and that is what those companies already are underneath. In plain terms: the agent that speaks for the shopper is a fancy consent manager with a wallet. The risk to the incumbents is that OpenAI or Anthropic build it as an OS feature and skip the ad-tech middle entirely, which the Beet.TV piece on first-mover memory advantage says is already starting in agentic commerce.

The Skeptic. The load-bearing assumption is that consumers want an agent representing them at all. Koh's own evidence cuts against her. She says people don't hate ads, they hate irrelevant ones, and cites Netflix's ad tier as proof of an accepted value exchange. Fine. But that is an argument that the current system, relevant ads via walled-garden identity, already works well enough. Where is the consumer pull for a preference-managing agent? Nobody configured cookie banners either; they clicked "accept all" to make the box go away. A consumer agent that requires setup dies in the same indifference. The gaming-template thesis is stronger and better evidenced than the agent moonshot riding on top of it.

The Operator. The part of this you can act on Tuesday is creative volume. Top mobile publishers run 1,000 to 4,000 new ad creatives per month per title, a direct response to Apple's ATT killing user-level tracking in 2021. That is not a gaming curiosity anymore; it is the production model AI now hands to every advertiser. If your DCO platform, your agency scope, or your creative-review pipeline assumes dozens of assets a quarter, it breaks at four figures a month. The second-order break shows up in brand safety and QA: nobody is human-reviewing 4,000 monthly creatives, so the failure mode is an off-brand or non-compliant asset shipping at scale. Live ops going from 200-person teams to teams of 10 says the same thing about content velocity everywhere.

The Customer / End User. Two customers here. The advertiser wants relevance and measurable return, and the creative-volume shift genuinely serves them: more variants, faster learning, lower cost per test. The consumer is the one Koh is projecting onto. She wants us to believe the shopper is waiting for an agent to manage ad permissions by time of day and brand affinity. Maybe. In plain English, that is asking people to do settings homework for advertising, and people do not do settings homework. The Uber Ads example from the saved reading is the honest version of consumer-side: catch them mid-ride with a coffee offer, no agent required, value exchange obvious.

The CFO. Where does money actually move? Away from per-asset creative pricing. Agencies and DCO vendors charging by the deliverable are selling buggy whips into an AI creative flood; that revenue line compresses. The offsetting spend goes into creative-generation tooling, QA-at-scale, and measurement that can attribute across thousands of variants. On the agent story, don't fund a consumer-agent build off a podcast thesis with zero sourced demand. The near-term, paying-customer bet is the creative-volume infrastructure, which has revenue attached today.

Where the council splits. The Market Analyst sees a real land-grab in the consumer-agent layer; the Skeptic and the Customer see a solution with no demonstrated consumer demand. Second split: is the durable value in the flashy agent layer or the unsexy creative-volume plumbing? The Operator and CFO say the plumbing is where the money and the pain both are. The whole thing hinges on one belief: will consumers adopt an agent that requires configuration, or will they behave the way they always have and default into whatever the platform sets for them?

The evidence in this episode leans hard toward the plumbing. The creative-volume shift is sourced, already happening, and paid for. The consumer-agent trillion-dollar claim is a thesis with no consumer demand signal behind it, propped up by an analogy. Before anyone funds an agent, verify one thing: a single case of consumers actively choosing to configure ad preferences when a default "accept all" exists. That evidence doesn't appear here.

Prediction: Through the end of 2026, no major consumer platform (Apple, Google, OpenAI, Anthropic) will ship a consumer-facing ad-preference agent that requires user setup as a shipped feature; the agentic-advertising products that actually launch will stay buy-side and sell-side, like the InMobi and Scope3 releases named in this episode.

Confidence: Medium — consumer configuration effort is the graveyard of good intentions.

Why: The one piece of consumer evidence in this episode, Netflix's ad-tier growth, shows people accepting defaults with a clear value exchange, not managing preferences. Every prior attempt to get consumers to configure ad settings, from cookie banners to ad-preference dashboards, collapsed into "accept all" because setup friction beats stated intent. The platforms that could build the consumer agent make more money keeping targeting on their side of the wall than handing a permissions layer to users. The opposite outcome, a shipped consumer agent, would require a platform to volunteer control it currently owns, and none has shown a reason to.

Revisit by 2026-12-31: We're right if the agentic-ad products shipped by year-end remain buy-side and sell-side only. We're wrong if a top-tier platform ships a consumer ad-preference agent requiring user configuration.

The creative-volume story needs no prediction; it's already true and the invoices prove it. The agent story is the bet, and the bet is that consumers keep doing what they've always done, which is nothing.

Listen to the episode →