"Human”: The New Programming Language According to Nvidia’s Jensen Hua"

At London Tech Week, Nvidia CEO Jensen Huang declares “human” the new programming language, exploring how AI is making coding accessible to everyone.

In a landmark keynote address at London Tech Week on June 9, 2025, Nvidia CEO Jensen Huang delivered a statement that is sure to reshape how we think about programming in the age of artificial intelligence:

“There’s a new programming language—it’s called human.”

This bold claim signifies a tectonic shift in the digital landscape, emphasizing that the traditional complexities of coding are being replaced with something far more intuitive—natural human language. Let’s explore the meaning, implications, and broader vision behind Huang’s provocative declaration.

1. What Does “Human” Mean as a Language?

For decades, programming has revolved around complex languages—C++, Java, Python—requiring mastery of syntax, logic, and structure. Jensen Huang reflected on this, stating that we designed computers so intricately that only a limited number of people could command them effectively.

Now, however, AI models like ChatGPT, Gemini, Claude, and Nvidia’s own platforms allow users to issue instructions conversationally—in natural, everyday human language. Huang emphasizes:

“Most people don’t know C++. Very few know Python. But everybody…knows human.”

This new model of interaction allows users to simply “ask nicely” and receive results. Programming, in this context, becomes a dialogue rather than a discipline. Whether you want a poem, a marketing strategy, or even a basic app, all you need to do is ask. And then refine. And ask again.

2. AI as the Great Equalizer

Huang portrays AI as a technological equalizer, breaking down barriers of entry into programming and computation. Anyone who can articulate their thoughts clearly in language can now build, code, and create.

He underscores this philosophy by stating that in a room of hundreds, only a few may know C++, but everyone can now “program” an AI just by speaking to it. This democratization means that creators, educators, researchers, and entrepreneurs, from any background, can harness AI without technical training.

3. From Chatbots to “Vibe Coding”

This concept is giving rise to a phenomenon often referred to as “vibe coding.” It’s the idea that you can build functional software simply by describing what you want to an AI assistant. No syntax. No IDE. Just vibes.

Even tech leaders like Google’s Sundar Pichai have admitted to using prompt-based coding. Students are using AI to translate ancient texts. Journalists are creating productivity tools with just a few lines of prompt instructions. Huang captures this well when he says:

“AI now enables anyone to write code simply by prompting a chatbot.”

In one instance, a user built a lunch-planning app by uploading a photo of their fridge and asking AI to recommend meals. This ease of creativity is rewriting the rules of what it means to be a “developer.”

4. Prompting: The New Programming Skill

The heart of the “human language” model is prompt engineering—a new skillset focused on intent, tone, clarity, and iteration. Huang describes prompting as akin to programming a person—you guide, explain, clarify, and adjust until the output matches your vision.

The best prompts are not the most technical—they are the most human: thoughtful, intentional, and clear.

“LLMs don’t need perfect syntax—they need clear intent.”

This approach transforms interfaces from graphical menus to conversational sessions, where users shape outcomes through interaction rather than commands.

5. Impact Across Industries

Huang envisions a future where no one needs to learn coding syntax—AI acts as a mediator, enabling people in education, agriculture, medicine, and design to solve complex problems using just their language skills.

Whether a farmer wants to optimize crop yields, a student wants to learn physics in simple terms, or a researcher wants to simulate data, AI will respond to human intent, not code.

Huang himself uses AI as a daily tutor, asking it to explain complex concepts "like I'm a 12-year-old,” and then progressively deepening the explanation.

6. Challenges and Considerations

Despite the promise, “human” programming comes with its own challenges:

Ambiguity: Natural language is imprecise. Without clarity, AI may misunderstand or deliver misleading outputs.
Bias and Hallucination: AI can produce incorrect or biased results, which require critical human oversight.
Evolving Job Skills: The focus shifts from learning syntax to mastering communication, psychology, and design thinking.

Prompt engineering isn’t just about writing—it’s about thinking like a designer and collaborating with an AI that doesn’t always get things right the first time.

Still, Huang is optimistic:

“You’re not going to lose your job to AI—you’ll lose it to someone who uses AI.”

7. What This Means for You

This new reality requires us to adapt, not retreat.

Learn to prompt effectively: Clear, specific, and iterative communication is the new coding skill.
Adopt AI tools in your workflow: Use AI for writing, summarizing, designing, researching, brainstorming, and augmenting your human capabilities.
Stay creative: The real skill is not in typing commands, but in imagining what’s possible and communicating it clearly.

Conclusion

Jensen Huang’s declaration that “human” is the new programming language marks a profound transformation in how we relate to technology.

We’re moving away from code as a tool for the few, towards a world where every voice can command computational power. The new programming interface is not brackets or semicolons—it’s conversation, curiosity, and creativity.

The age of the human-AI partnership is here. You don’t need to be a coder—you just need to be clear, kind, and human.

The Financial And Tech Literacy