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Roblox's generational numbers will change the face of gaming forever, but no one seems to give a shit. [Phillip Black]( / phillip-black-economist , [Christopher Kaczmarczyk-Smith]( / chris-economics , and [Eric Guan]( / eric-guan-6b122875 ) sketch the Malthusian arithmetic behind Roblox replacement theory and what it all means.We turn Polymarket into a one-dollar group game and compare the economics of $40 rhythm games and Elden Ring DLC.Plus:
The entire theory of games is underpinned by this one theory, but how far can it's explanitory power be pushed? Phillip Black, Christopher Kaczmarczyk-Smith, and Eric Guan talk cozy Pokemon habitats, merge-game economics multipliers, AI labor-market irony, and Edward Castronova's foundational work on virtual worlds.
We talk:
Takes so hot that they were recorded late at night after a long day on the GDC floor, and couple whiskeys. Phil, Eric and Chris crew unpack what actually mattered at GDC 2026, and what didn’t.
We discuss:
A sharper critique of industry thinking
Too many taxonomy talks, not enough opinions
Why game talks should behave more like economics seminars
AI’s role on the show floor and conference
Shift from generative art hype to code generation and workflows
Why survey data understates actual usage and masks revealed preferences
AI present but muted, Web3 effectively gone
Novelty hardware, indie creativity, and a clear tech pullback
The collapse of production costs and what replaces them
Near-zero fixed costs leading to infinite content supply
Discovery, marketing, and CAC as the new binding constraints
Why incumbents may strengthen, not weaken
Ad spend and distribution advantages widening the moat
Counterpoint: new channels still create pockets of disruption
Hardware, interfaces, and “convergent evolution”
Why controllers standardized and what that says about optimal design
Failed alternatives and the persistent friction of interaction
If the majority of mobile casuals' target audience takes Ozempic, what effect does that have on games? No one's asking these questions, so welcome to the Game Economist Cast.
Weight loss drugs, AI copilots, and gambling apps dominated the most expensive media real estate on earth, and games were barely in the frame. In this episode, we unpack what that signal means for interactive entertainment, Eric uncovers Riot’s 2XKO downsizing to Google’s Genie 3, and the future of engines. Phil previews his GDC talk on the economics of a billion-dollar cosmetic economy, Chris breaks down his attempt to design and publish a trading board game, and we ask a harder question: in a world of Ozempic and infinite AI supply, what actually happens to gaming demand?
We discuss:
Chuck E. Cheese is still alive, and so is the analytics-to-product pipeline. @Amanda Cesario analytics lead turned product leader, joins @Phillip Black, Eric, and @Christopher Kaczmarczyk-Smith argue for embedded analytics, sharper language, and game systems that actually produce cooperation instead of a cosplay community.
We discuss:
• The missing vocabulary for economy design in live service, and how it's harmed the entire industry
• Why office ball pits best start-up ping pong tables
• The analyst’s real job: explaining “why,” then realizing the only way to fix it is to own the lever
• Embedded analytics vs centralized service orgs; who beats who
• Roblox as a laboratory: aspirational visibility, server “neighborhoods,” and system norms that communicate more than art
• Iterated Prisoner’s Dilemma, Axelrod’s tournaments, and why tit-for-tat is a design principle
• Monopoly Go partner events as rare, genuine, cooperation-through-repeated-interaction design
• Why Discovery Zone died, but Chuck E. Cheese prints money anyway
Is fair matchmaking actually bad design? And how exactly did gaming companies fumble the bag when it came to the army of PhD psychologists they employ?
We talk:
• Sweepstakes, social casino, velocity, and why most players never cash out
• Why Wordle feels flat to some designers and why elegance is not the same as progression
• Surveys as UX, not truth machines, and how to extract signal without lying to yourself
• Compensating differentials, handicaps, and why 50 percent win rates kill progression
• Bots, deception, and whether games are magic shows or fraud
What happens when autobattlers fail to monetize? We pull Arto Huhta [https://x.com/ProofOfDork] into the cast to chat about Telegram’s pseudo-WeChat ambitions. Eric releases a distrack on Game Designer's obsessed social spaces, and Phil wants more blood from psychologists' nonsensical F2P "choice overload." Chris enleashes a model-meets-UGC experiment: a three-algorithm simulation that shows how recommendation systems distort consumer welfare and creator inequality. We discuss:
Chapters 00:00 Journey to London: A Game Developer's Path 00:49 The Role of Economy Design in Gaming 01:20 From Academia to Game Development: Bridging the Gap 03:16 Experimentation in Game Design: Lessons Learned 05:22 The Intersection of Game Design and Economics 10:07 Understanding Game Development Roles 11:00 Monetization Strategies in Game Design 11:55 The Evolution of Publishing Models 12:42 Transitioning to Web 3: New Challenges 13:54 The Economics of Game Spending 18:27 Introduction to Game Economist Cast 19:06 Current Gaming Trends and Preferences 20:51 Game Modes and Player Engagement 22:03 The Future of Game Monetization 27:33 The Social Hub Experiment in Fighting Games 28:26 Street Fighter VI and Social Interaction 30:28 The Rise of HTML5 Games on Platforms 32:37 The Trend of Casual Games in Tech Companies 34:42 Telegram Games: A New Frontier 37:21 Challenges in Game Discovery on Telegram 38:52 User Engagement and Retention in Web3 Gaming 39:43 Consumer Welfare and Content Creation Dynamics 43:04 The Impact of Algorithms on User Experience 49:31 Heterogeneous Goods and Their Effects on Engagement 57:35 The Impact of Algorithms on Content Quality 59:04 Understanding Algorithmic Risks and User Retention 01:00:16 Exploring Algorithm Design in Gaming Platforms 01:01:54 The Role of User Choice in Content Discovery 01:04:29 The Future of Pricing Strategies in Free-to-Play Games 01:08:10 The Debate on Standardization and Market Forces
What happens when autobattlers fail to monetize? We pull Arto Huhta into the cast and chat about Telegram’s pseudo-WeChat ambitions. Eric releases a distrack on Game Designer's obsessed social spaces, and Phil wants more blood from psychologists' nonsensical F2P "choice overload." Chris enleashes a model-meets-UGC experiment: a three-algorithm simulation that shows how recommendation systems distort consumer welfare and creator inequality.
\We discuss:
Chapters 00:00 Journey to London: A Game Developer's Path 00:49 The Role of Economy Design in Gaming 01:20 From Academia to Game Development: Bridging the Gap 03:16 Experimentation in Game Design: Lessons Learned 05:22 The Intersection of Game Design and Economics 10:07 Understanding Game Development Roles 11:00 Monetization Strategies in Game Design 11:55 The Evolution of Publishing Models 12:42 Transitioning to Web 3: New Challenges 13:54 The Economics of Game Spending 18:27 Introduction to Game Economist Cast 19:06 Current Gaming Trends and Preferences 20:51 Game Modes and Player Engagement 22:03 The Future of Game Monetization 27:33 The Social Hub Experiment in Fighting Games 28:26 Street Fighter VI and Social Interaction 30:28 The Rise of HTML5 Games on Platforms 32:37 The Trend of Casual Games in Tech Companies 34:42 Telegram Games: A New Frontier 37:21 Challenges in Game Discovery on Telegram 38:52 User Engagement and Retention in Web3 Gaming 39:43 Consumer Welfare and Content Creation Dynamics 43:04 The Impact of Algorithms on User Experience 49:31 Heterogeneous Goods and Their Effects on Engagement 57:35 The Impact of Algorithms on Content Quality 59:04 Understanding Algorithmic Risks and User Retention 01:00:16 Exploring Algorithm Design in Gaming Platforms 01:01:54 The Role of User Choice in Content Discovery 01:04:29 The Future of Pricing Strategies in Free-to-Play Games 01:08:10 The Debate on Standardization and Market Forces
UGC is about to change forever. In the same way all technologies govern and enable the creative, MTX will do the same for Fortnite. Or will it? Alex Seropian (Look World North, The Forth Curtain) joins the cast to discuss UEFN's ability to enable creators to monetize islands directly.
We discuss:
Chapters
00:00 Introduction to UEFN and Guest Background
03:48 UEFN's New Features and Developer Impact
07:22 Comparing UEFN with Roblox
10:23 The Future of IP in Gaming
17:47 Epic's Strategic Vision and Development Tools
21:04 The Evolution of UGC Platforms
22:53 Challenges in User-Generated Content
26:27 Monetization Models in Gaming
28:01 The Joy of Game Development
30:46 The Future of Fortnite's Economy
39:16 China's Role in UGC Development
41:40 Feedback Loops in Game Development
UGC is about to change forever. In the same way all technologies govern and enable the creative, MTX will do the same for Fortnite. Or will it? Alex Seropian (Look World North, The Forth Curtain) joins the cast to discuss UEFN's ability to enable creators to monetize islands directly.
We discuss:
Chapters
00:00 Introduction to UEFN and Guest Background
03:48 UEFN's New Features and Developer Impact
07:22 Comparing UEFN with Roblox
10:23 The Future of IP in Gaming
17:47 Epic's Strategic Vision and Development Tools
21:04 The Evolution of UGC Platforms
22:53 Challenges in User-Generated Content
26:27 Monetization Models in Gaming
28:01 The Joy of Game Development
30:46 The Future of Fortnite's Economy
39:16 China's Role in UGC Development
41:40 Feedback Loops in Game Development
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