It is GDC 2026 week in San Francisco, but I skipped the conference this week. I was supposed to be in Israel, but alas the war disrupted my plans. But even without listening to the keynotes from the large studios, the elephant in the room is obvious: everyone is talking about AI. That tension between the craft of game-making and the pressure to automate it, is the defining story of 2026. And the data tells a striking paradox.
The game industry is going through a massive reset. Big AAA studios are struggling, and the human cost has been severe: 28% of game developers report being laid off in the past two years, with two-thirds of respondents at AAA studios experiencing company layoffs. These sweeping cuts have affected developers globally, including massive layoffs in Israel at companies like Playtika and Moon Active.
In January 2026 alone, two of Israel’s most profitable gaming companies announced significant restructurings. Playtika, in what was its fifth round of layoffs since 2022, cut 500 employees, representing 15% of its global workforce. CEO Robert Antokol was direct about the rationale:
“Our broad growth mindset is no longer sustainable. We must leverage AI and automation to do more with less.”
Moon Active, maker of Coin Master and operator of one of Israel’s most secretive and profitable tech businesses, cut 110 employees in the same month—despite reporting record revenues exceeding $2 billion in 2024. Even the winners are restructuring. While new jobs were posted in 2026, a lot of the roles are concentrated in lower cost markets.
At the same time, venture capital investments into gaming have hit a low point. Gaming VC funding is down 77% from its market highs and down 28% from pre-pandemic levels. Traditional funding infrastructure is shifting so much that 35% of studios (and 86% of solo developers) are now relying primarily on self-funding.
That being said, we cannot lose sight of the bigger picture: gaming is still the number one form of entertainment. The global games market generated $197 billion recently and is projected to grow to nearly $236.9 billion by 2030. People are still playing; the question is how the industry will adapt.
The AI Elephant and the Threat of “Slop”
Just search for AI and gaming on X and you’ll see a non stop stream of posts bragging about how they created a game with GPT 5.4, or Claude 4.6, or one of the Chinese open source models.
Here’s one more leveraging OpenClaw:
And here is GPT 5.3 Codex making a game and creating the assets with Nano Banana 2:
AI promises faster pipelines and cheaper prototypes, but it has triggered massive backlash, with 52% of game industry professionals now saying AI is actively harming the industry.
As AI drives the cost of content creation toward zero, the digital landscape is flooding with infinite noise and “AI-generated slop”. Because anyone can now generate generic assets or text, pure content creation is losing its value.
How do we avoid the slop? it may be inevitable. In the same way that Sora and Veo3 and now Seedance 2.0 are changing the video industry and filling up Youtube and TikTok with AI generated videos, we might see the gaming market flooded with new AI generated games across channels.
As Joseph Kim put in ‘Relationships are the last moat in gaming‘:
In an AI supercycle where content costs approach zero and noise becomes infinite, the ability to build trusted, curated communities around specific professional audiences is becoming the single most durable competitive advantage in the games business — for operators, service providers, and studios alike.
What This Means for the Industry
The combination of technology (AI) making game creation easier/cheaper and more democratised, combined with the decrease in investments and competing on the user’s attention has created a perfect storm for the gaming industry.
Because development is becoming cheaper and more accessible, the barriers to entry have shifted from development to distribution. Discoverability is the new battleground. Success will rely on adaptable pipelines, tight community building, and finding creative ways to leverage content creators and influencers to cut through the noise.
Matthew Ball shared this ‘noise’ in his excellent State of the Gaming industry 2026 report:
Takeaways for gaming founders
While overall gaming VC deal counts have slid, there are clear signs of where smart money is moving in 2026.
1. The Surge of AI “Gametech” – VCs are heavily backing the “picks and shovels” of the AI revolution. In Q3 2025 alone, gaming startups raised $1 billion, with over $230 million flowing specifically into “gametech” startups building AI foundation models, voice tech, automated QA, and asset generation. Particularly interesting: World Models. See my primer post on that one.
2. Capital Efficiency is the New Standard – The days of raising massive rounds on just a pitch deck are over. The studios that are being built now, and that will attract the remaining capital, look fundamentally different from the ones that came before. Investors are demanding evidence of execution: playable builds, early engagement signals, and realistic monetisation levers. Funding will increasingly favour smaller, agile indie and “Triple-I” teams (1 to 20 people) that can utilise AI to keep burn rates low while outputting high-quality experiences.
3. AI Must Be a Tool, Not the Thesis – Simply being an “AI gaming startup” is no longer enough to draw funding. Investors want to see that the game is fundamentally fun, and that AI is being used thoughtfully to improve the player experience or production efficiency in ways that competitors cannot easily copy.
4. Distribution is a big moat – Building a game has never been cheaper. Being seen has never been harder. In this environment, Audience Reach (78%) has become the #1 priority for developers when choosing a platform, far outstripping technical features. The capital that once funded 200-person dev teams has migrated into marketing budgets, specifically toward social media (65%), streamers (39%), and paid advertising (31%). For founders, the implication is clear: distribution strategy is now a first-order product decision, not an afterthought.
5. Invest in community and trust – In an AI-saturated world where content is cheap, a studio’s community and the founders’ proprietary information networks are their most defensible moats. Investors will evaluate this the same way you’d evaluate a technology advantage.
I'm a former general partner at google ventures, head of Google for Entrepreneurs in Europe and founding head of Campus London, Google's first physical hub for startups.
I'm also the founder of Techbikers, a non-profit bringing together the startup ecosystem on cycling challenges in support of Room to Read. Since inception in 2012 we've built 11 schools and 50 libraries in the developing world.
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