English is the new coding language

Nvidia CEO Jensen Huang recently said: “There’s a new programming language. It’s called English.” It’s not a metaphor. It’s his description of the most significant shift in the doing of work we’ve seen since the invention of the assembly line. Now, let’s reduce this idea to practice and put an aggressive timeline on it: In 36 months, code and content will be essentially free. Too aggressive? Let’s explore.

Today, when a CMO wants a marketing campaign, they coordinate agencies, internal teams, tech vendors, creative resources, media buyers, and analytics specialists. Six months and $X million later, you launch. In 36 months (or less), they’ll say, “Create a multi-channel campaign for our Q3 product launch, suggest a budget allocation for my approval, be sure to justify the estimated ROI,” and it will just happen. End-to-end. Automatically. We’re moving from a world where you “hire specialists” to one where you “direct outcomes.”

This is the logical conclusion of what we’re already seeing. The cost of generating text, images, video, and functional code is already trending toward zero. When the primary input becomes natural language instructions rather than specialized technical skills, the economics of creation will collapse.

The Great Unbundling

Every industry built on the scarcity of technical creation skills faces disruption. Marketing agencies, software development shops, content creators, legal document preparation. When scarce resources become commodities, business models must adapt, or die.

What does this future look like? Project managers (who currently coordinate between technical teams and business stakeholders) become strategic orchestrators who design outcomes rather than manage processes. Marketers (who mostly brief agencies) become overseers who define parameters for AI systems. Imagine how different business will be when anyone can say, “Make me _____.” and it just happens.

Tech So Complicated, It’s Simple

Today, AI is a combination of software and hardware. But, in a very short while, that complexity will disappear behind natural language interfaces. When everyone has direct access to outcomes, competitive advantage will shift entirely to strategic thinking. Said differently, winners will know what to build, not how to build it.

The Governance Imperative

This democratization of capability creates new risks. When anyone can spin up automated systems with simple English commands, who will be responsible for brand consistency? Regulatory compliance? Budget controls? Data privacy? AI, of course, and it will be better at it than people ever were. But it can only operate within the guardrails you set at the corporate level.

You need to start working on dynamic, adaptable AI governance frameworks now, so you have time to think through and learn about the way you want English as a programming language to work for your organization. (See: Context Engineering: A Framework for Enterprise AI Operations.)

Five Things To Do Right Now

  1. Audit your organization for roles that exist primarily to translate business requirements into technical specifications. Those jobs are disappearing. Start retraining those people for strategic roles or find new places for them.
  2. Invest heavily in the people who understand your customers, your market, and your competitive positioning. Their value is about to skyrocket.
  3. Build AI governance frameworks that can scale with unlimited creative capability. You need policies, processes, and technology that can maintain quality and consistency when anyone can become a creator.
  4. Start experimenting with natural language interfaces for work. Not because the technology is perfect today, but because you need to understand how your business processes change when implementation complexity disappears.
  5. Accelerate your strategic decision-making processes. When your competitors can execute ideas in minutes instead of months, the company that can decide what to execute fastest will dominate.

The 36-Month Reality

Jensen is right. English will become the new programming language. In 36 months, code and content will be free. Choose your own timeline if you want, but I’m sticking with mine, and you can hold me to it.

The question isn’t whether this will happen (or when), the question is whether you’ll be ready to compete in a world where implementation is instantaneous. In 36 months, we’ll be competing with each other at the speed of thought.

Author’s note: This is not a sponsored post. I am the author of this article and it expresses my own opinions. I am not, nor is my company, receiving compensation for it. This work was created with the assistance of various generative AI models.

About Shelly Palmer

Shelly Palmer is the Professor of Advanced Media in Residence at Syracuse University’s S.I. Newhouse School of Public Communications and CEO of The Palmer Group, a consulting practice that helps Fortune 500 companies with technology, media and marketing. Named LinkedIn’s “Top Voice in Technology,” he covers tech and business for Good Day New York, is a regular commentator on CNN and writes a popular daily business blog. He's a bestselling author, and the creator of the popular, free online course, Generative AI for Execs. Follow @shellypalmer or visit shellypalmer.com.

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