Mobile Dev Memo Podcast

Season 7, Episode 8: Games and AI (with Joost van Dreunen)
Date: March 3, 2026
Host: Eric Soofer
Guest: Joost van Dreunen, CEO & Co-founder of Eldora

Episode Overview

This episode dives deep into the intersection of gaming and artificial intelligence (AI), particularly in the context of seismic industry changes following Google’s Genie 3 model demonstration. Host Eric Soofer welcomes returning guest Joost van Dreunen—renowned games industry analyst and entrepreneur—to discuss the impact of generative AI on game creation, business models, distribution, creativity, and consumer experience. The conversation moves beyond surface-level hot-takes, layering industry context, historical analogies, and first-hand expertise on data, economics, and culture.

Key Discussion Points & Insights

1. Setting the Stage: AI Panic in Gaming Industry

• Context: Google’s Genie 3 world model demoed the creation of short, playable game environments via AI, spooking investors to dump gaming stocks (Unity, Take Two, AppLovin) overnight.
• "It was deemed, I guess, by the public markets that this new tool would just replace them. It would absorb everything, it would devour the gaming industry." (Eric, [01:07])
• Joost's Role: Industry analyst, former head of games at Nielsen, co-founder of SuperData Research, CEO of Eldora (AI-native BI company for interactive entertainment).
• Upcoming Book: On power shifts in gaming toward big tech and their repercussions for creativity and growth ([03:20]).

2. AI in Game Development: Beyond Cost Reduction

• Historical Cycles: Joost frames industry evolution as an oscillation between innovation in content/creation and in distribution.
• "AI is a technology that arrives at a time when the industry is looking for new distribution models... the conversation has been a lot around, oh, this is going to make things cheaper to make... but it really comes down to, in my mind, how do we deploy AI as a distribution innovation?" (Joost, [08:32])
• AI as an Enabler, Not a Silver Bullet:
  • Generative AI is currently more about efficiency and democratization than about demand generation.
  • The real disruption would come if AI empowers smaller creative teams, rather than simply reducing headcount at big companies.
• Efficiency vs. Growth:
  • AI adoption can make production cheaper but does not equate to creating more engaging or “better” games.
  • "This is only inefficiency, this is not necessarily growth. And I think to mistake the two, that's a critical issue that's happening right now..." (Joost, [12:54])

3. Consumer-Facing AI: Problems of Discovery and Value

• Glut of Content:
  • AI will flood the market with more “stuff,” intensifying the already difficult discovery process for players.
  • "It's just more content for them to navigate. Discovery has already been this endemic problem, and AI at least in its current manifestation just adds to the problem." (Joost, [17:15])
• Rejection of AI-generated Content:
  • There is resistance among players to obviously AI-generated games; authenticity and human connection matter.
  • "I want some kind of farm-to-table gaming experience. I want to know the human." (Joost, [17:15])
• Rising Hardware Costs:
  • Large AI models are driving hardware prices higher as gaming competes with big tech for chips and infrastructure.

4. On "Vibe Play" and Non-Deterministic Gaming

• Potential for New Play Styles:
  • Could there be a market for games with no fixed rules, akin to randomized Spotify playlists?
  • Joost compares it to "channel surfing"—a passive, meandering experience with less emotional attachment.
  • "It's the lowest form of consumption in some ways. I don't know that that's a sustainable revenue model..." (Joost, [21:03])
  • Deep emotional connection requires consistency and memory—hard to achieve with entirely AI-generated, ephemeral experiences.

5. What is a Game Engine and Can AI Replace It?

• Engine as Foundation:
  • "It's a foundational code base that makes up the interactive world...the middleware that generates the two three dimensional places, spaces in which we then create some kind of play scenario." (Joost, [26:11])
• Human Judgment:
  • Engines improve through iterative, collective human effort—not through pure automation.
  • AI may accelerate processes but cannot replace the necessity of hard creative choices.

6. AI Cannot Replicate Cultural Phenomena

• Cultural Relevance & Outliers:
  • Great games (e.g., GTA V, Max Payne, Disco Elysium) are memorable for their narratives and emotional resonance, not their technical prowess alone.
  • "It's a word guessing machine, right? It's predicting the most likely thing to happen next constantly. And so what it does is produce a lot of mediocrity." (Joost, [31:04])
• Blockbusters are Outliers:
  • AI is unlikely to create the unique experiences that define genres or generations.

7. Investor Misconceptions

• Overestimating Disruption:
  • Investors mistake AI’s ability to generate content for an existential threat to incumbents.
  • "When you talk to investors, they think, oh, it's this sort of everything machine. You press a button and you have GTA 6. Yeah, not, not really." (Joost, [26:11])
• Bloomberg vs. Perplexity Metaphor:
  • (Eric) "If you think that Bloomberg is the charts that you don't understand what Bloomberg used for…that's why people pay 20,000."
  • AI replications miss the value of deeply specialized, context-rich platforms.

8. The Printing Press Analogy

• True Disruption is Democratization:
  • AI today resembles the early days of the printing press: real revolution comes only when the tools become widely accessible and affordable.
  • "I want it to be a printing press..." (Joost, [44:33])
  • Envisions future where small, edge-device models empower everyday creators, not cloud-based gatekeepers.

Notable Quotes & Highlights (with timestamps)

• On AI’s Current Role:
  • "AI can be conducive on the short term for like small and medium sized creative outfits to say we can now do much more...But this is only inefficiency, this is not necessarily growth." (Joost, [12:54])
• On Discovery & Consumer Experience:
  • "AI threatens to flood an already saturated market...is that exciting enough for me to spend my time and/or my money?" (Joost, [17:15])
• On Emotion in Entertainment:
  • "What distinguishes successful blockbuster game releases...is that they are new, that they bring something that is unexpected, an outlier of sorts." (Joost, [31:04])
• On Investor and Tech Narratives:
  • "It's a land grab, sure...but they're not these lean, clever companies that are going to uproot an entire existing industry..." (Joost, [41:59])
• On Pedagogy & AI:
  • "AI will go the same way [as word processing]. You're sort of able to navigate this technology on your own..." ([47:49])
• On Future Opportunities:
  • "Once you get the low power FM versions of this...I think that's when it's going to be really disruptive." (Joost, [44:33])

Pivotal Segments & Timestamps

• Episode’s Thesis & Google Genie 3 Context: [01:07] – [03:17]
• AI’s Impact on Team Structure and Distribution Innovation: [08:09] – [12:54]
• Consumer Impact: Content Glut & Hardware Costs: [16:49] – [17:15]
• "Vibe Play" and Emotional Attachment: [19:35] – [23:44]
• Game Engines vs. Generative AI: [24:26] – [29:37]
• Narrative and Creativity: Why AI Can’t Replace Blockbusters: [29:37] – [34:57]
• Long-term Possibilities: The Printing Press Analogy: [44:33] – [47:36]
• Advice for Next-Gen Game Developers: [47:36] – [50:53]

Tone & Language

The conversation is erudite and reflective, blending skepticism with measured optimism. Both host and guest maintain a data-driven stance, with Joost frequently rooting observations in industry history, economic frameworks, and lived experience. There is respect for creativity and craft alongside an awareness of the realities of technological hype cycles.

Useful for Listeners Who Haven’t Tuned In

This episode provides a nuanced reality check on AI’s role in gaming—dispelling fears of automatic creative obsolescence and instead reframing AI as a potentially democratizing tool if (and only if) it becomes widely accessible. The episode is rich with context (historical, economic, technical), memorable industry anecdotes, and actionable perspectives on how to navigate the coming years—especially for creatives and students entering the field.

For More from Joost van Dreunen:

• Substack: [The Superioast Substack]
• Company: [Eldora.io]
• Upcoming Appearances: GDC, South by Southwest

([End of Detailed Episode Summary])