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OKX Launches Native AI Layer on OnchainOS to Power Autonomous Blockchain Agents

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Nexo Partners with Bakkt for US Crypto Exchange and Yield Programs

TLDR:

  • OKX’s OnchainOS now supports AI agents across 60+ networks with 99.9% uptime and 1.2B daily API calls.
  • Developers can access OnchainOS through AI Skills, MCP Protocol, or a direct Open API for full control.
  • The x402 payment protocol enables AI agents to settle transactions autonomously with zero gas fees on X Layer.
  • Smart trade routing across 500+ DEXs allows agents to find the best swap prices without human involvement.

OnchainOS, OKX’s developer toolkit, now features a native AI layer built for autonomous blockchain operations. The update opens OKX Wallet and its decentralized exchange infrastructure to AI agents.

Developers can now program agents to manage wallets, execute trades, process payments, and read live market data.

The system runs on infrastructure already serving more than 12 million monthly wallet users. This move positions OKX as a central platform for onchain automation.

Three Access Methods Power the New AI Layer

OnchainOS gives developers three distinct ways to build with AI agents. Through AI Skills, agents interact with onchain services using plain language commands.

No complex API wiring or blockchain configuration is required. This lowers the entry barrier for teams newer to Web3 development.

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The second method is through MCP, or Model Context Protocol. This connects OnchainOS directly to AI agents and large language model applications.

Major frameworks, including Claude Code and Cursor, can call onchain actions natively through this channel. Developers working within existing AI environments gain immediate access to blockchain functionality.

OKX stated through its official channels: “We are opening OKX Wallet and DEX to enable AI Agents. Our OnchainOS now has a full AI layer that developers can use to enable AI agents for new applications.”

The third option is a direct Open API, providing full RESTful programmatic access. Developers who need granular control over every platform capability can use this route.

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It supports custom integrations without relying on higher-level abstractions. Together, the three methods cover a broad range of development workflows.

Autonomous Workflow Capabilities Built on Proven Infrastructure

OnchainOS routes trades across more than 500 decentralized exchanges automatically. The system identifies the best available price on every swap in real time.

Market data covers tokens, trades, transfers, and account activity across chains. Agents can act on this data without requiring human interpretation at any step.

Payments within the platform are built on the x402 protocol. This allows AI agents to initiate and settle transactions without manual involvement.

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Transactions executed on OKX’s native X Layer chain carry zero gas fees. That makes high-frequency, machine-speed payments practical for automated agent workflows.

The infrastructure behind OnchainOS processes more than 1.2 billion API calls daily. It supports around $300 million in daily trading volume with sub-100ms response times.

The platform maintains 99.9% uptime across more than 60 blockchain networks. These metrics reflect a production-grade foundation that AI agents can operate on reliably.

Developers building on OnchainOS can deploy once across all supported chains. No chain-specific rewiring is needed when expanding agent operations to new networks.

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As a result, the distance between what AI agents can do and what they can dependably execute onchain continues

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Crypto World

AI-Driven Deflation Could Push Bitcoin To $11 Million By 2036, Strive Says

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AI-Driven Deflation Could Push Bitcoin To $11 Million By 2036, Strive Says

Technological deflation driven by artificial intelligence could help push Bitcoin above $10 million within a decade by pressuring central banks to keep expanding the money supply, according to a report from Strive strategist Joe Burnett.

Burnett, Strive’s vice president of Bitcoin strategy, said in a report published Monday that faster productivity gains from AI will push down prices across goods and services, squeezing margins and prompting policymakers to respond with sustained monetary expansion. His “base case” calls for Bitcoin (BTC) to reach $11 million in the first quarter of 2036, he wrote.

”My base case for Q1 2036 is $11 million per Bitcoin.”

The forecast rests on a set of aggressive assumptions, including that Bitcoin would grow to about 12% of the value of global financial assets and that global wealth would compound at 7% annually through 2036. With Bitcoin currently accounting for about 0.2% of all financial assets, this would involve an over 176-fold increase in Bitcoin’s market capitalization during the next decade to hit $230 trillion.

Source: Joe Burnett

The forecast would imply that Bitcoin becomes the dominant global reserve asset along with structurally loose monetary policy over the next decade, Nic Puckrin, co-founder and lead market analyst of educational platform Coin Bureau, told Cointelegraph.

”The forecast implies Bitcoin would become around 10 times as large as the current US M2 money supply, nearly four times as large as the US equity market today, and nearly double current global GDP.”

The prediction would also imply a compound annual growth rate (CAGR) of around 53% per annum, which is not unprecedented considering Bitcoin’s average 60% CAGR between 2015 and 2024, but a slowdown may be expected due to its larger market capitalization, added Puckrin.

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AI deflation engine to lead to structural monetary expansion

Burnett’s thesis centers on what he described as an “AI deflation engine,” arguing that AI-driven automation and cost reductions could create persistent deflationary pressure.

In a debt-based fiat system, sustained deflation can strain credit markets because wages and asset prices may fall while debt obligations remain fixed in nominal terms, he wrote, potentially pushing central banks and fiscal authorities to add liquidity to avoid a deflationary spiral.

Related: Bitcoin manipulation claims face pushback as ETFs snap 5-week outflow run: Finance Redefined

”Under a debt-based fiat framework, persistent deflation destabilizes credit markets because wages and asset prices decline while mortgages, corporate loans, and sovereign debt remain fixed in nominal terms,” Burnett said.

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”As AI drives real-economy deflation, central banks and fiscal authorities expand liquidity to prevent a deflationary spiral.”

M2 money supply vs. CPI chart. Source: Joe Burnett

Burnett said this will lead to a persistent increase in money relative to the supply of scarce assets.

Related: Solo Bitcoin miner bags over $200K block reward using rented hashrate

Emergence of digital credit set to bolster Bitcoin demand

The report also points to what Burnett calls the emergence of “digital credit” models promoted by companies including Strategy, the largest corporate Bitcoin holder.

Digital credit provides US dollar income to investors through publicly traded securities backed by large Bitcoin balance sheets issued by treasury firms as a means to raise capital to acquire more Bitcoin.

Digital credit liquidity flywheel. Source: Joe Burnett

Burnett foresees digital credit products creating a ”reflexive loop” between global yield demand and Bitcoin accumulation, marking the ”early stage of a credit system built on verifiably scarce money.”

Still, the $11 million forecast stands well above most bullish scenarios that use shorter time horizons. For instance, ARK Invest predicted a 2030 Bitcoin price target of $1.5 million in the company’s bull case and a $300,000 price target in the bear case, Cointelegraph reported in November 2025.

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