JPMorgan, Citi, BoA Plan 2027 Tokenized Network as AI Cuts Hit 38,579 in May

Crypto News

JPMorgan Chase, Citigroup, and Bank of America are preparing to launch a shared tokenized deposit network by the first half of 2027, a coordinated move to defend customer balances from rising competition with dollar-pegged digital assets. The initiative, internally referred to as "the bridge" or "the chain" depending on the institution, will be operated by The Clearing House, the payments utility jointly owned by the largest US lenders. The platform aims to convert traditional deposits into blockchain-based tokens that settle nearly instantly, giving banks a defensive perimeter against an outflow of customer funds into crypto wallets.

Artificial intelligence drove 38,579 announced US job cuts in May, the highest monthly total since the metric began being tracked in 2023 and the third consecutive month in which automation outpaced every other layoff reason. AI accounted for roughly 40% of all cuts announced during the month, up sharply from 7% in January and 26% in April. The acceleration reflects how aggressively employers are restructuring around generative models, agentic systems, and machine-driven workflows. Companies across software, customer support, and back-office operations are now citing AI explicitly in workforce reduction filings, a shift that was rare twelve months earlier.

The catalyst behind the bank consortium's accelerated timeline is the Clarity Act, legislation moving through Congress that could permit stablecoin issuers to pay yield on holdings. If enacted, dollar-pegged tokens would combine faster settlement and lower transaction costs with returns competitive against checking and savings rates, creating a textbook deposit-flight scenario. Bank executives view a large-scale migration of balances into self-custodied Bitcoin wallets and cold-wallet storage as an existential threat to lending capacity, since deposits underwrite the credit they extend across the real economy.

Cumulative AI-driven layoffs have already reached 87,714 announcements through the first five months of 2026, exceeding the 54,836 attributed to the technology across the entirety of 2025. That figure represents roughly 22% of all 2026 job cuts, a structural shift that analysts describe as the steepest year-over-year acceleration of any single layoff driver since the dataset began. The trajectory suggests 2026 will close as the first full year in which AI ranks as the leading explicit reason for US workforce reductions, surpassing cost-cutting, restructuring, and demand softness, categories that historically dominated the rankings.

The new tokenized network's commercial pitch centers on the corporate treasury function, with The Clearing House expecting large multinationals to be the first major adopters. Programmable cash management, real-time intraday liquidity, and round-the-clock cross-border settlement are the headline capabilities being marketed to chief financial officers, drawing directly from the operational playbook pioneered by DeFi protocols. Treasury teams currently rely on a patchwork of correspondent banking rails, foreign exchange providers, and time-restricted settlement windows; on-chain deposit tokens promise to compress all of that infrastructure into a single programmable ledger governed by uniform settlement logic.

The AI displacement wave is now extending well beyond Silicon Valley. Financial technology firms announced 5,731 cuts in May, with the majority citing AI explicitly in their disclosures. Standard Chartered separately said it plans to eliminate 7,800 back-office positions by 2030 as it scales automation across processing, compliance, and customer service workflows. Total announced US layoffs reached 97,006 in May, the highest figure for that month since 2020 and the third consecutive monthly increase. The technology sector remained the largest single contributor with 38,242 cuts, and cumulative 397,755 layoffs announced year-to-date underscore how rapidly the labor backdrop has shifted.

The dominant narrative this cycle is institutional adaptation under structural pressure. Wall Street's largest lenders are migrating their balance-sheet plumbing onto blockchain rails powered by permissioned consensus mechanisms at the same moment corporate America is rewriting its operating model around automation. Stablecoins are forcing banks to tokenize defensively; generative AI is forcing employers to restructure offensively. Both arcs point to the same underlying conclusion: legacy intermediaries are being compressed, and the institutions that survive the decade will be the ones that absorb the technology stack rather than resist it. The 2026 macro story is consolidation through digitization.