Nvidia chief says everyone will soon be a programmer
As AI automates programming increasingly all you need to do to create a piece of software is type what you want into an AI LLM prompt box.
Key takeaways
- Generative AI is a type of AI technology that can produce various types of content, including text, imagery, audio and synthetic data.
- Creative professionals will be able to create images with a simple text prompt, while programmers can accelerate application development and debugging efforts, the company said.
Cite or link to this article
Griffin, M. (2023) 'Nvidia chief says everyone will soon be a programmer', 311 Institute, 13 June. Available at: https://www.311institute.com/nvidia-chief-says-everyone-will-soon-be-a-programmer/ (Accessed: 25 October 2026).
Fresh off Nvidia's stellar earnings report and subsequent stock rally, its CEO Jensen Huang is predicting that the world is entering a "new computing era."
As I’ve been saying for year’s he says that soon anyone will be able to be a programmer, just by speaking to the computer, and the desired functions will come forth. No longer will programmers need to write lines of code, only for it to display the dreaded "fail to compile" because of a missing semicolon.
The Future of AI, by keynote Matthew Griffin
How will this be done? By Generative Artificial Intelligence, Huang said during his keynote speech at the Computex forum in Taiwan on Monday.
At his first public keynote since the pandemic, Huang introduced a new AI supercomputer platform called DGX GH200, aimed at building generative AI models. Generative AI is a type of AI technology that can produce various types of content, including text, imagery, audio and synthetic data.
"This computer doesn't care how you program it, it will try to understand what you mean, because it has this incredible large language model capability. And so the programming barrier is incredibly low," Huang pointed out. "We have closed the digital divide. Everyone is a programmer. Now, you just have to say something to the computer."
Nvidia says that generative AI is the "most important computing platform of our generation" as individuals and companies move to create new apps and leverage on generative AI in the process.
Creative professionals will be able to create images with a simple text prompt, while programmers can accelerate application development and debugging efforts, the company said. Even architects can generate 3D models from 2D floor plans.
"Every single computing era, you could do different things that weren't possible before," Huang said, adding that "artificial intelligence certainly qualifies."
He explained that this computing era is "special in several ways."
The CEO said generative AI is able to understand information other than just text and numbers. It "can now understand multi-modality, which is the reason why this computing revolution can impact every industry," he added.
Unlike traditional models of computer application development, which require new applications and new hardware to accommodate advances like AI, Huang said generative AI will not only be able to impact new applications, but enhance old ones.
"Every application that exists will be better because of A.I.... It can succeed with old applications. And it's going to have new applications. The rate of progress, because it's so easy to use, is the reason why it's growing so fast."
What this means for your organisation
Software creation spreads across the firm.
Staff who can describe a task may soon build the tool themselves. That speeds up automation in every department. Leaders should decide how far to let non-specialists build software.
Governance matters more than syntax.
When many people create code, quality, security and ownership become harder to manage. Errors move from compile failures to logic and data risks. IT should set guardrails and review processes for citizen-built tools.
Developer roles will shift.
Professional programmers will spend less time typing code and more time designing and checking systems. Hiring and training should follow that change. Invest in architecture, testing and AI supervision skills.
Three questions for your next leadership meeting
- Which teams would build their own tools if they could describe them?
- What guardrails do we need for software built by non-specialists?
- How should we retrain our developers for AI-assisted work?
The trends and technologies behind this story
From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.
Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.
FAQ
Why does this matter?
As AI automates programming increasingly all you need to do to create a piece of software is type what you want into an AI LLM prompt box.
About the author
Matthew Griffin Founder, President and Futurist, 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." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist 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 programme, 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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