$5T AI Boom Signals Stablecoins' Enterprise Payday

On June 10, 2026, Netomi CEO Puneet Mehta put a hard number on a thesis crypto has been circling for years: if enterprise AI customer experience grows from about $500 billion today to $5 trillion by 2030, stablecoins may become part of the machinery that keeps AI-driven commerce moving.

That argument, reported by CoinDesk, deserves more than the usual crypto-versus-AI framing. Mehta is not pitching a meme-cycle rotation. He is saying that autonomous enterprise software will need money movement that operates at software speed. I think he is right on the direction, even if the adoption path will be slower and messier than crypto optimists want.

June 10: Mehta turns AI customer experience into a stablecoin thesis

Mehta’s claim starts with a simple expansion story. Companies spend roughly $500 billion annually on customer experience-related knowledge work, according to the CoinDesk report. As AI moves deeper into sales, conversion, upselling and cross-selling, he expects that opportunity to grow tenfold by 2030.

That matters because customer experience is no longer just a support queue. In Mehta’s view, the current structure is fragmented.

"Customer experience today is structured as a silo," Mehta said. "That layer of technology and people does not fully talk to every system and every process autonomously in the company. Once that starts to happen, it unlocks a much bigger category."

The stablecoin angle follows from that autonomy. If AI systems are going to act across more of the enterprise, they eventually touch payment flows. Mehta’s argument is that traditional banking systems are poorly matched to autonomous agents that need capital rails running at all hours.

This is where the opinion sharpens: the biggest future source of stablecoin demand may not be retail traders. It may be enterprises trying to make AI-driven operations function without waiting for banking-hour settlement.

After the Series C: Netomi’s own position makes the claim harder to dismiss

Mehta is not speaking from the sidelines. Netomi recently raised $110 million in a Series C round backed by Accenture Ventures and Adobe Ventures, bringing total funding to $168 million. He declined to disclose valuation but said the company is nearing unicorn status.

The company’s client list includes Delta, United Airlines, MetLife, ESPN, and ATB Financial. That matters because the argument is not being made only for crypto-native businesses. It is aimed at enterprise buyers with real operational complexity.

Mehta’s background also gives the thesis more weight. CoinDesk notes he previously worked as an engineer and data scientist at IBM, then held similar roles at JPMorgan, Citi, and Merrill Lynch. That does not make him automatically right. It does mean he understands the gap between enterprise software ambition and financial infrastructure reality.

His clearest rebuttal to the AI-versus-crypto narrative is worth quoting in full:

“The idea that AI is simply sucking capital away from crypto is a fundamental misunderstanding of where technology is heading,” said Mehta. “We are not in a zero-sum battle for venture dollars.”

That is the right frame. AI and stablecoins are not competing categories when the software starts moving assets. They become adjacent layers in the same operating stack.

By 2030, the market-size claim becomes a payments argument

The exact $5 trillion number will get the headlines. It should not be treated as gospel. Forecasts this large are directional signals, not facts about the future.

But the scale does change the payment question. If enterprises embed AI into more customer-facing and revenue-facing workflows, then every workflow that involves money, assets, credits, or settlement creates demand for transaction infrastructure. Mehta specifically argues that the next phase of enterprise software will rely on autonomous AI agents capable of handling increasingly complex business functions, including financial transactions.

His critique of legacy systems is blunt:

“AI agents are moving money and assets faster than legacy enterprises can follow,” he said. “An autonomous agent cannot rely on traditional banking systems that take days to settle transactions via manual paperwork. ”

That sentence is the core of the stablecoin thesis. Not price speculation. Not ideology. Settlement mismatch.

This is also why our earlier coverage of AI agents entering the tokenization and ETF debate matters here. Once software starts acting, not just recommending, the financial layer becomes part of the product.

Now unfolding: stablecoins are being pulled toward enterprise infrastructure

CoinDesk reported that Mehta’s view aligns with a broader argument from crypto executives: autonomous software could become a major driver of stablecoin adoption. At Consensus 2026, executives from Bridge and Deus X Capital said fiat-pegged cryptocurrencies are entering a new adoption phase, with large corporations using them for cross-border treasury flows while AI agents begin using blockchain rails for autonomous payments.

The source also cites Chainalysis, which said in April that stablecoins are on track to become a foundational layer of global finance, with adjusted transaction volumes projected to reach $719 trillion by 2035.

That number is massive. The better takeaway is narrower: stablecoins are increasingly being discussed as infrastructure, not just trading collateral.

The strongest version of Mehta’s case is not that every enterprise will rush to put AI payments onchain. It is that AI customer experience platforms will expose where old payment systems slow down automated workflows. If an AI system can classify intent, recommend an action, trigger internal approvals, and update records in real time, then waiting on capital movement becomes the bottleneck.

That same bottleneck appears in our coverage of Blockchain's Wall Street Takeover Hits the ERP Wall. Onchain finance does not win just by being faster in isolation. It has to fit into enterprise systems that companies already use to run money, risk, accounting, and customer operations.

The strongest objection: enterprises do not adopt crypto rails on enthusiasm

Skeptics have the better short-term argument. Many enterprise software companies still rely on traditional payment providers and banking networks, according to CoinDesk. The report is explicit that it remains unclear how quickly blockchain-based settlement systems will become a standard component of AI-driven commerce.

That uncertainty is not a footnote. It is the adoption barrier.

Corporations will not hand meaningful payment functions to blockchain systems just because stablecoins settle around the clock. They will ask who controls custody, who bears operational risk, how compliance is handled, how finance teams reconcile activity, and whether the system fits existing governance. The source does not resolve those questions, and no serious buyer would ignore them.

Still, those risks do not kill the thesis. They define the selection process. Enterprise adoption will favor stablecoin issuers, software vendors, and financial partners that can make blockchain rails feel less like a crypto product and more like controlled infrastructure.

That is why the policy layer also matters. As we reported in Hill Says Crypto Bill Needs Law, Not Regulator Mercy, the industry keeps running into the same basic issue: durable adoption needs rules that buyers can plan around, not temporary comfort from regulators.

The next decision point sits inside the AI customer experience stack

The next competitive layer will not necessarily be a flashy consumer wallet. It may be the invisible payment rail inside AI customer experience software.

Mehta says Netomi is building a unified AI platform rather than disconnected tools. His criticism of point solutions is direct:

"Most companies are building point solutions," Mehta said. "They're solving one problem at a time. We believe the future is a connected enterprise where AI systems aren't operating in silos but working together across the entire organization."

If that connected-enterprise model advances, payments cannot remain detached. The more AI systems operate across departments, the more companies will need to decide whether financial transactions stay routed through legacy processes or move onto always-on rails.

The practical move for executives is not to “go crypto.” That framing is stale. The move is to map where AI systems may eventually touch money movement, then decide what controls, permissions, audit processes, and settlement options are acceptable before agents start making operational decisions at scale.

Legal, finance, compliance, product, and customer experience teams all need a seat at that table. If they wait until AI workflows are already embedded, the payment architecture will be chosen under pressure.

AI may automate the customer conversation. The companies that win will also modernize the money movement behind it.

Disclaimer: This XOOMAR analysis is for informational and educational purposes only. It is not financial, investment, legal, tax, or professional advice. It does not provide buy, sell, hold, price-target, portfolio, or personalized recommendations. Verify information independently and consult qualified professionals before making decisions.

The Bottom Line

• Enterprise AI could expand customer experience from a $500 billion market today to $5 trillion by 2030.
• Autonomous AI agents may increase demand for payment systems that operate continuously and at software speed.
• Stablecoin adoption may be driven more by enterprise workflows than by retail crypto trading.