Machines Are Writing 40% of Coinbase’s Code And It Works

, long known as Americas largest cryptocurrency exchange, might be morphing into something far more ambitious.

CEO recently that 40% of the company‘s code is now written by AI, signaling a silent but radical shift inside one of the world’s most influential fintech firms.

This revelation stunned the industry — not because AI in coding is new, but because a multibillion-dollar public company is openly trusting machines to build its backbone. For Armstrong, the goal isnt to replace engineers, but to supercharge productivity, reduce costs, and innovate faster than the competition.

The New Coinbase Where Crypto Meets Code Automation

Coinbases move comes at a time when AI is rapidly reshaping every digital industry.

But unlike startups merely experimenting with chatbots or assistants, Coinbase is embedding AI directly into its development pipeline — rewriting its DNA.

Change in the percentage of Coinbases code that is AI-generated. Source: Brian Armstrong

Armstrong hinted the figure could rise to 50% soon, suggesting a future where half of Coinbases software comes from AI systems trained to produce secure, high-quality code at scale.

This could allow the company to ship new features, security patches, and integrations in days instead of months — a potential game-changer for global crypto infrastructure.

If Coinbase , it could redefine what it means to be a tech company in the AI era. Crypto exchanges that fail to adopt automation may find themselves out-coded and out-paced in the next market cycle.

Source: Yahoo Finance

How Other Tech Giants Are Powering Their Work with AI

Across industries, AI is becoming the invisible engine behind innovation.

• Google uses AI to automatically optimize ad placements and search algorithms, most updates you never notice are machine-generated.
• Microsoft has integrated AI deeply into its development stack with GitHub Copilot, which assists millions of developers every day — the same type of technology Coinbase now relies on.
• Amazon uses machine learning to predict supply chain demand and generate product recommendations, effectively coding commerce decisions in real time.
• Tesla trains its AI systems to write and refine the software running millions of cars — an approach very similar to Coinbases automated code pipeline.

What connects them all is a clear trend: companies are no longer just using AI; they are becoming AI-powered at their core.

Coinbases leap into AI-driven development is simply the latest and one of the boldest — examples of this accelerating revolution.