Forget retail traders: The real multi-trillion-dollar crypto future is building infrastructure for machines

With 60% of stablecoin payments flowing through a fragmented Asian corridor, new backend middleware lets autonomous software move capital without human steps.

This is the aim of Stables, which is introducing a universal AI payment plug into Asia's multi-trillion dollar trade ecosystem to bypass legacy cross-border fragmented infrastructure.

Singapore-based Stables targets a massive region where roughly 60% of the global stablecoin payments take place. Conversely, however, the zone remains the most fragmented and undeserved. .

Last year, globally, stablecoins moved $35 trillion, a figure that could exceed $700 trillion by 2035.

The staggering volume surge highlights a deeper shift in global trade. Stables CEO and co-founder Bernardo Bilotta argues that the actual growth vector in the region is no longer human-to-human retail volume, which is true on a global scale. The real opportunity, he added, lies building specialized rails for automated machines.

"Between now and the next five years, I think the entirety of commerce will be moving through AI agents," Bilotta said in an video interview with CoinDesk. "We're entering a world where money won't only move between people and businesses. It will increasingly move through software and AI systems acting on their behalf."

Many experts share Bilotta’s AI agent outlook, including Charles Hoskinson, founder and CEO of Cardano’s Input Output, who said that by 2035 they will become more relevant than humans.

The macro numbers support his stance. Data from the U.S. International Trade Administration via Trade.gov shows that business-to-business (B2B) e-commerce across the broader Asia-Pacific region is expanding at a 15% annual clip, with market values projected to climb past $28.9 trillion by the end of this year.

Yet, despite that explosive growth, the plumbing underneath remains broken. The problem is fundamentally an issue of legacy infrastructure and compliance, Bilotta noted.

Global financial regulations, banking protocols and identity verification checks were built strictly for humans. An autonomous AI software agent cannot pass a standard compliance check, he said or execute a payment loop unless a human manually intervenes to clear the transaction.

To bridge this structural gap, the industry requires a compliant backend middleware that acts as a universal interpreter. Bilotta explained that by dropping an Anthropic-standard Model Context Protocol (MCP) server directly into the payment infrastructure, software agents can programmatically navigate compliance, pull real-time FX quotes, and settle transactions natively across borders without human steps.

While institutional gatekeepers like Stripe and Mastercard have spent billions acquiring fiat-to-crypto APIs to secure traditional corporate treasuries, the automated machine-to-machine economy across emerging corridors remains heavily underserved.

"The next phase of stablecoin adoption won't be driven by crypto traders," Bilotta concludes. "It will be driven by businesses, fintechs, and eventually AI systems moving real money in the real economy."