Nvidia CEO sees fully AI generated games by 2030 and Generative Computing emerge
We've been seeing AI generate new games for a while, but using AI to generate rather than just render games on the fly means an entirely new kind of computing is needed ...
Key takeaways
- Although it won’t be the only industry that AI will turn swiftly on its head, no doubt.
- What’s being talked about here though, is GPUs leveraging AI so they are not just rendering a game world, but actually generating it – on-the-fly – as per Huang’s original quote from last year.
- Big changes are inbound, though, and the message is that a fundamental shake-up of the gaming industry is going to be happening as 2030 rolls around.
Cite or link to this article
Griffin, M. (2024) 'Nvidia CEO sees fully AI generated games by 2030 and Generative Computing emerge', 311 Institute, 25 June. Available at: https://www.311institute.com/nvidia-ceo-sees-fully-ai-generated-games-by-2030-and-generative-computing-emerge/ (Accessed: 1 October 2026).
Artificial Intelligence (AI) is going to be a literal game-changer, eventually – in revolutionizing how games are created and realized – and that could happen sooner than you think, or so Nvidia’s CEO believes.
No, we’re not talking about the near future, of course, but a world where games are fully created and driven by AI may arrive by the time this decade is out, if Jensen Huang is correct. Let’s rewind a bit here, and for context, remind ourselves of something Huang previously said in his GTC keynote speech last year – namely that: “Every single pixel will be generated soon. Not rendered: generated.”
In other words, GPUs won’t simply be rendering an environment, but generating or creating it.
With that in mind, at this year’s GTC, Bilawal Sidhu asked the CEO a follow-up question on that previous statement: “How far are we from a world where every pixel is generated at real-time frame rates?”
As Tom’s Hardware picked up, Huang replied in a rather rambling fashion (deep breath): “I think with almost everything in technology, the S curve is not longer than a decade once it becomes true, once it becomes practical and better … In ten year’s time you’re at the other end of that S curve.
“In five years from now, you’re probably right in the middle where everything is changing in real-time, and everybody’s going, ‘Oh, look at that, this is happening.’ And so you just got to decide, are we two years into it, into that ten years? Probably, we’re probably already two years into it. And so I would say that within the next five to ten years, somewhere in between, it’s largely the case.”
As Sidhu distils, the gist of the prediction is that we’re probably eight years away, so we’re looking at 2030 or slightly thereafter for games being generated in real-time - or indeed movies and other content, for that matter.
What does that really mean though? Let’s explore that next.
This is a tricky one to pin down. As Sidhu, who asked the pertinent question, suggests, we likely haven’t fully grasped what is yet to come – but it will change the entire gaming industry. Although it won’t be the only industry that AI will turn swiftly on its head, no doubt.
We are already seeing AI-generated movies (well, short clips) courtesy of Sora and AI knocking up basic 2D platformer worlds based on a simple prompt. What’s being talked about here though, is GPUs leveraging AI so they are not just rendering a game world, but actually generating it – on-the-fly – as per Huang’s original quote from last year.
It sounds ridiculous, really, because the raw computational power and performance grunt to undertake such a task is vast to say the least – isn’t it? Well, yes, it is, but then the development of AI – and surrounding tech such as heavyweight Nvidia GPUs – might accelerate exponentially.
As Tom’s points out also, we’re not really talking about a reality where you can ask an AI to ‘make me a first-person shooter themed around folk dancing’ or something – although that could happen eventually (it’d be called ‘Machinegun Morris Dancers’ incidentally) – but more like a framework in which an AI can generate the world, models and textures, on-the-fly. Or game content – you could be in your favorite MMORPG and ask for a specific type of quest to be knocked up, for example, with various parameters. An on-tap Dungeon Master to fulfil your whims and desires quest-wise, right on the spot.
Or at least for us, these kinds of moves would be the first – and more realistically achievable – steps. With the computational power supplied via the cloud rather than your local GPU, of course (we’re likely to see a shift to the cloud anyway, certainly when chunky ultrafast broadband connections become more widespread).
It’s clear that there are some sweeping visions of change within the games industry, and indeed other creative aspects – movies, art, writing, and so on – with AI. And we don’t doubt all this is on the way, with negative consequences in tow, when it comes to some jobs and creative roles.
Mind you, we can certainly take Huang’s comments here, and predicted timeframes, with a robust amount of salt. It’s clear enough that Team Green’s CEO is rather rambling in a thinking-out-loud manner, and is purposefully vague about what all this means ultimately – likely because this isn’t fully clear to anyone yet, not even him. (Or he’s keeping his graphics cards very close to his chest, maybe).
Big changes are inbound, though, and the message is that a fundamental shake-up of the gaming industry is going to be happening as 2030 rolls around. One that might be great for players – possibly – but as to the legions of staff at game developers across the globe, well, that’s another matter.
FAQ
Why does this matter?
We've been seeing AI generate new games for a while, but using AI to generate rather than just render games on the fly means an entirely new kind of computing is needed ...

About the author
Matthew Griffin Founder, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.
As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.
Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.
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Sources and further reading
- Jonfinger every single pixel will be generated soon activity 7049772640093290496 35p1 linkedin.com
- Tom’s Hardware tomshardware.com
Source: first published by the 311 Institute on 25 June 2024. Cite as: Griffin, M. (2024). Nvidia CEO sees fully AI generated games by 2030 and Generative Computing emerge. 311 Institute. https://www.311institute.com/nvidia-ceo-sees-fully-ai-generated-games-by-2030-and-generative-computing-emerge/
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