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Coinbase Pushes ‘Agentic Commerce’ as UAE Moves Toward AI-Run Government

Coinbase Pushes ‘Agentic Commerce’ as UAE Moves Toward AI-Run Government

Coinbase’s latest push into “agentic commerce” and the United Arab Emirates’ move toward autonomous governance signal a broader shift: artificial intelligence is beginning to act not just as a tool, but as an economic and administrative actor.

Summary:

  • Coinbase launched a marketplace for AI agents to transact autonomously.
  • Big Tech is backing a new payment standard built on crypto rails.
  • The UAE is deploying AI agents to execute government decisions in real time.

Together, the developments point to a future where software agents transact, allocate resources and execute decisions with minimal human input.

Crypto Rails Power Machine-to-Machine Economy

Coinbase unveiled Agentic.market on April 22, a platform designed for AI agents to discover and pay for digital services without human involvement. The system replaces traditional API key models with a wallet-based structure, allowing agents to transact directly using a pay-as-you-go mechanism.

At the core is the x402 protocol, inspired by the HTTP 402 “Payment Required” code. Instead of subscriptions, services can charge AI agents in real time for usage, with payments settled on blockchain infrastructure. Most activity so far has been concentrated on Base, Coinbase’s Ethereum layer-2 network, which has already processed roughly $48 million in x402 volume.

To push adoption beyond its own ecosystem, Coinbase helped establish the x402 Foundation under the Linux Foundation. The initiative has drawn backing from major players including Google, Microsoft, AWS, Mastercard and Visa, positioning the protocol as a neutral internet standard rather than a proprietary tool.

Competition is already emerging. Stripe and OpenAI are advancing their own agentic commerce framework focused on merchant payments, while other groups are working on bridging traditional financial rails with autonomous transactions. The race is increasingly about defining how machines will pay each other.

UAE Bets on Autonomous Governance

At the same time, the UAE is taking a more direct approach by integrating AI into the core of government operations. Announced on April 23, the country’s “agentic AI” framework gives systems the authority to monitor real-time data, make decisions and execute actions without human approval.

This represents a shift from digital government to what officials describe as “autonomous governance.” Instead of citizens submitting forms for review, AI agents will process requests, allocate resources and continuously optimize workflows.

The initiative extends beyond technology into management. Government leaders will be evaluated based on how quickly they adopt these systems and how much manual work they eliminate. Meanwhile, more than 50,000 federal employees are being retrained to oversee AI operations rather than perform routine tasks.

A new digital records policy underpins the system, requiring all government data to be unified and machine-readable. This creates a single operational layer that AI agents can use to make decisions across departments in real time.

Convergence of AI and Programmable Money

The link between these developments lies in execution. For AI agents to function effectively – whether in commerce or governance – they must be able to move money instantly and efficiently.

Traditional financial systems are not designed for this. Settlement delays and transaction costs make them impractical for the microtransactions and real-time payments that AI systems require. Crypto-based rails, such as those enabled by the x402 protocol, offer a solution by allowing instant, low-cost, programmable payments.

This convergence is reshaping how digital systems operate. Crypto is evolving from a speculative asset into infrastructure for automated economic activity, while AI is moving from advisory roles into execution.

Both Coinbase and the UAE are building toward a similar endpoint. One is creating the payment layer for autonomous agents, while the other is deploying those agents at a national scale.

The result is the emergence of a new model where machines not only process information but also act on it – transacting, optimizing and governing in ways that reduce the need for direct human intervention.


The information presented in this article is intended for informational purposes only and should not be interpreted as financial, investment, or trading advice. Coinspress.com does not promote or advocate for any particular investment strategy, asset, or cryptocurrency project. Cryptocurrency markets are highly volatile and unpredictable – always perform your own research and seek guidance from a qualified financial professional before making any investment decisions.

Author
Alexander Stefanov - Editor-in-Chief at Coinspress
Alexander Stefanov

Reporter at CoinsPress

Alex is Editor-in-Chief of Coinspress and co-founder of Millennial Media Group, with nearly a decade of experience covering financial markets - crypto first, then everything else. It started in 2016 with Bitcoin. Like most people at the time, he didn't fully understand it - so he kept digging. Blockchain, tokenomics, the projects, the cycles. That curiosity never stopped, and eventually pulled him into traditional markets too: equities, commodities, macro. Not because he left crypto behind, but because you can't properly understand one without the other. What drives him is straightforward: he wants to know why something is happening, not just that it's happening. Most market coverage stops at the headline - price up, price down, here's a chart. Alex finds that kind of reporting actively unhelpful. If you walk away from an article without understanding the mechanism behind the move, what did you actually learn? He holds a degree in Tourism from New Bulgarian University - not the most obvious path into financial markets, but markets have a way of pulling in people who are simply too curious to stay out. He has authored over 200 in-depth analyses and more than 10,000 articles across crypto and traditional finance. He still thinks every day in markets teaches him something new. That's probably why he hasn't stopped.

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