By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
The panelists debate the existence and scale of an 'infrastructure supercycle' driven by AI, energy, and defense sectors. They agree that tokenization is overhyped and that regulatory risks and execution challenges could derail the thesis, but disagree on the potential of 'utility-as-a-service' pivot for legacy financial institutions.
Risk: Regulatory frictions, custody/privacy fears, and slow tokenization adoption could cap near-term returns and derail the infrastructure supercycle thesis.
Opportunity: The 'utility-as-a-service' pivot could expand the total addressable market of liquid assets if incumbents successfully shift from rent-seeking on legacy rails to charging transaction fees on high-velocity, programmable collateral.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
The future of finance is becoming harder to ignore
Hillary Remy
7 min read
The conversation in financial markets used to be simple: find the growth, buy the growth, wait for the growth to show up in earnings.
That conversation is getting more complicated. The themes drawing sustained institutional capital in 2026 are not concentrated in a single sector or technology. They are structural, cross-party, and increasingly difficult for investors to ignore.
AI infrastructure, domestic energy, defense modernization, and financial system reform are all moving at the same time.
What connects them is not a single political agenda. It is a shared recognition that the foundational systems underpinning the economy need to be rebuilt, and that the companies building that layer represent a different kind of investment case than the headline AI trade.
Why AI, defense, and energy are becoming the most durable investment themes
The clearest evidence that a market theme has staying power is when it stops generating partisan argument. AI infrastructure spending, domestic energy production, and defense modernization have all reached that point in 2026.
Congress is funding them. Corporate America is building around them. Institutional investors are positioning for multi-year tailwinds rather than quarterly earnings beats.
That matters for portfolio construction because bipartisan themes tend to be more durable. They are less vulnerable to administration changes, more likely to receive sustained legislative support, and more likely to produce the kind of long-cycle investment that creates compounding returns.
The companies sitting at the intersection of those themes — data center operators, energy infrastructure providers, defense technology firms, and financial technology platforms — are increasingly being evaluated on a different timeline than traditional growth stocks.
Corporate treasury strategy is shifting alongside that recognition. Higher interest rates and persistent economic uncertainty have forced executives and boards to treat capital allocation as a strategic function rather than a financial one.
Companies are now being rewarded for demonstrating balance sheet discipline, liquidity management, and long-term positioning in ways that would have seemed secondary three years ago, according to Goldman Sachs Asset Management.
How financial infrastructure is becoming the next major investment frontier
Beneath the more visible AI and defense trades, a quieter transformation is underway in financial infrastructure itself. Payment networks, stock exchanges, brokerages, and banks are all investing heavily in faster, more programmable systems capable of handling the next generation of financial activity.
That includes everything from real-time cross-border settlements to tokenized equities and AI-driven compliance tools.
Major institutions are already moving. JPMorgan filed to launch a tokenized U.S. Treasury money-market fund on Ethereum in May 2026, following BlackRock's filing for two tokenized fund products the same week, according to AdvisorHub.
The Depository Trust and Clearing Corporation, the backbone of U.S. post-trade infrastructure, is separately developing a tokenization service with input from more than 50 institutions, including BlackRock, JPMorgan, Goldman Sachs, and Nasdaq, with limited production trades planned for July 2026 and a broader rollout in October, The Next Web noted.
The premise is straightforward: Assets that can be represented and transferred digitally are faster to settle, cheaper to custody, and more accessible to a broader range of investors.
At the same time, regulators and lawmakers are beginning to catch up. Washington has reached a bipartisan recognition that the rules governing capital formation, ownership, and exchange need updating for a faster, more digital financial system.
What new financial infrastructurerules mean for ownership, compliance
One of the more consequential questions emerging from this legislative moment is deceptively simple. Who is responsible for proving what, to whom, and on whose platform?
That question sits at the heart of how compliance, identity, and accountability work across modern financial systems.
For years, the answer has been that centralized platforms, banks, brokerages, and exchanges bear the compliance burden on behalf of their users. That model worked when financial activity was concentrated and traceable through a small number of large intermediaries.
It fits less well as more financial activity moves across distributed systems, multiple platforms, and increasingly across AI-driven processes that operate without direct human involvement at each step.
Shady El Damaty, co-founder of digital identity protocol Human.tech, said the shift has structural implications for how financial systems are designed. "Codifying the right to self-custody is the most structurally important provision in this bill," he said.
"That's not a concession to the crypto industry. It's a recognition that the ability to hold your own keys is a baseline property right in a digital economy, not a privilege granted by intermediaries."
The compliance question follows directly from that ownership shift. If individuals increasingly hold and control their own financial assets, the verification and accountability infrastructure needs to travel with them rather than sitting inside the platforms they use.
El Damaty put it plainly. "Identity verification needs to become portable and privacy-preserving. The user proves they're compliant, not the platform."
That framing has implications across banking, brokerage, and payments that go well beyond any single piece of legislation. It describes a fundamental redesign of where compliance responsibility sits in a financial system that is becoming faster, more distributed, and more automated.
How AI agents and automation are changing the regulatory landscape
The pace at which financial systems become automated is accelerating faster than the regulatory frameworks designed to govern them.
Autonomous software agents are already executing transactions, managing portfolios, and interacting with financial platforms without direct human action at each step. The legal and compliance infrastructure for that reality is still being built.
Zachary Pelkey, VP of engineering at CoinFello, said regulatory clarity around software infrastructure is essential to enabling this next phase of financial development.
"Legal ambiguity in the U.S. has held back DeFi builders for years," Pelkey said. "The CLARITY Act finally draws a line: Developers building open-source software, self-custody tooling, or node infrastructure shouldn't be treated like money transmitters when they don't control user funds."
That distinction matters enormously for how the financial technology ecosystem develops. When regulation correctly identifies who is a financial actor and who is building infrastructure, it enables a broader and more competitive set of companies to participate in building the next generation of financial systems.
That competition ultimately benefits the end users of those systems: investors, consumers, and businesses navigating an increasingly complex financial landscape.
Key figures on financial infrastructure investment and market modernization in 2026:
Tokenization market growth: Tokenized real-world assets exceeded $32 billion in May 2026, up more than 400% since the start of 2025; DTCC has set July 2026 for initial production trades of tokenized securities, The Next Web noted.
Wall Street tokenization participants: JPMorgan, BlackRock, Goldman Sachs, Franklin Templeton, and Nasdaq are all actively building or testing tokenized fund and settlement products, according to AdvisorHub.
Financial market structure legislation: The Senate Banking Committee advanced the Digital Asset Market Clarity Act 15-9 on May 14 in a bipartisan vote; the House passed it 294-134 in July 2025, FinTech Weekly reported.
Bipartisan investment themes: AI infrastructure, defense modernization, domestic energy, and financial technology are all drawing sustained cross-party institutional capital in 2026, according to Goldman Sachs Asset Management.
AI agent activity in finance: Autonomous software is already executing transactions and managing portfolios; the regulatory framework for non-human financial actors remains underdeveloped, BlackRock Investment Institute confirmed.
Infrastructure investment supercycle: Global infrastructure spending on AI, energy, and digital connectivity is at a multi-decade high; institutional capital is increasingly allocated across all three themes simultaneously, according to PwC.
What investors should watch as financial systems rebuild
The companies best positioned for this transition are building or modernizing the infrastructure layer of finance.
Payment processors capable of handling programmable transactions, exchanges developing frameworks for tokenized assets, compliance technology firms serving next-generation regulation, and banks genuinely modernizing rather than adding digital interfaces to legacy systems represent a distinct category of investment from the headline AI trade.
What makes this moment unusual is that the investment case for financial infrastructure modernization now has tailwinds from technology, regulation, and politics simultaneously.
AI is creating demand for faster, more intelligent financial systems. Regulation is beginning to provide the frameworks those systems need to operate at scale. And bipartisan political momentum is reducing the policy risk that has historically made financial technology investments more complicated to hold across market cycles.
The alignment of those three forces — technology, regulation, and political consensus — is rare. When it happens in finance, it tends to produce a longer and more durable wave of investment than either technology enthusiasm or regulatory reform can generate on its own.
That alignment is quietly taking shape in 2026, and it is becoming harder for serious investors to ignore.
Four leading AI models discuss this article
"The shift toward programmable finance is less about technological disruption and more about legacy incumbents attempting to preserve their market dominance through proprietary, tokenized infrastructure."
The article correctly identifies a 'supercycle' of infrastructure spending, but it conflates bipartisan political support with actual economic efficiency. While tokenization and AI-driven settlement promise lower costs, the transition period will likely be plagued by 'integration debt.' Legacy financial institutions (JPM, GS) are not just modernizing; they are building walled gardens to maintain rent-seeking power under the guise of compliance. Investors should be wary of the valuation premiums currently assigned to these 'infrastructure' plays. A 20x forward P/E for a bank or exchange is only justified if they successfully cannibalize their own legacy revenue models, which historically, they struggle to do without significant margin compression.
The 'bipartisan' consensus is actually a fragile regulatory capture attempt that could collapse if the next administration pivots toward aggressive antitrust enforcement against banking incumbents.
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"The article mistakes regulatory permission for market adoption; shifting compliance burden to users is more likely to entrench institutional intermediaries than disrupt them."
The article conflates three separate narratives—AI infrastructure, energy, defense—into a unified 'infrastructure supercycle' thesis without proving they're actually correlated or that capital is flowing simultaneously into all three. The tokenization story is real but vastly overstated: $32B in tokenized RWAs is still <0.1% of global asset markets, and DTCC's July 2026 'production trades' remain unproven at scale. The bipartisan framing obscures that political consensus is fragile—energy policy reverses with administrations, and financial regulation is perpetually contested. Most critically, the article assumes regulatory clarity will accelerate fintech adoption, but ignores that compliance burden shifting to users (self-custody) may actually slow institutional adoption, not accelerate it.
If tokenization requires users to manage their own compliance and custody, institutional capital—which funds the real supercycle—will likely stay in centralized platforms where liability is clear. The bipartisan consensus could evaporate within 18 months if political winds shift, leaving infrastructure plays stranded.
"The convergence of technology, regulation, and bipartisan policy creates durable, multi-year upside for financial infrastructure, contingent on adoption and risk controls proving out."
The article frames a multi-year, cross-party revival of finance infrastructure—AI, energy, and defense sit alongside modernized payments and tokenization as durable growth drivers. The strongest upside is tangible: faster settlement, real-time cross-border activity, and Open/DeFi-style tooling should lift margins for infrastructure plays. Yet the piece glosses over several risks that could derail the thesis. Regulatory frictions, custody/privacy fears, and the possibility that tokenization adoption remains slow could cap near-term returns. If rates stay elevated or policy support wobbles, the promised investment cycle may disappoint. A crypto backlash or cyber risk could also blunt enthusiasm for 'digital' finance.
Even with policy support, tokenization and open banking may not translate into durable margins if incumbents capture most value or if cyber/regulatory incidents spook investors. The bipartisan momentum could fade with elections, delaying or diluting the implied reform catalysts.
"The transition to programmable, high-velocity collateral will expand the total addressable market for financial infrastructure, offsetting potential margin compression from legacy cannibalization."
Claude is right about the scale of tokenization, but both Claude and Gemini ignore the 'utility-as-a-service' pivot. The real play isn't just tokenizing assets; it's the backend infrastructure (like BlackRock’s BUIDL or JPM’s Onyx) becoming the new plumbing for global liquidity. If these firms can successfully shift from rent-seeking on legacy rails to charging transaction fees on high-velocity, programmable collateral, they don't need to cannibalize revenue—they simply expand the total addressable market of liquid assets.
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"Backend infrastructure only generates durable margins if tokenized asset velocity reaches scale; pilot success doesn't guarantee it."
Gemini's 'utility-as-a-service' pivot is real, but it dodges the execution risk. BlackRock's BUIDL and JPM Onyx are still in pilot phase—neither has proven they can scale beyond institutional test trades. The margin math only works if transaction velocity justifies infrastructure capex. If adoption plateaus at $100–200B tokenized AUM (plausible), those backend systems become expensive fixed costs, not margin expanders. That's the cannibalization risk in different clothing.
"Tokenization alone won’t lift margins unless adoption scales far beyond pilots; incumbents may squeeze value, making tokenization a cost center rather than a margin driver."
Claude, tokenization scale is not revenue scale. Even if $32B tokenized RWAs exist, margin upside depends on high transaction velocity and network effects—unclear in pilots. Adoption plateauing at $100–200B AUM would leave BUIDL/Onyx with expensive fixed costs and thin spreads. The bigger risk is incumbents capturing value on centralized rails, turning tokenization into a cost center rather than a margin expansion driver.
The panelists debate the existence and scale of an 'infrastructure supercycle' driven by AI, energy, and defense sectors. They agree that tokenization is overhyped and that regulatory risks and execution challenges could derail the thesis, but disagree on the potential of 'utility-as-a-service' pivot for legacy financial institutions.
The 'utility-as-a-service' pivot could expand the total addressable market of liquid assets if incumbents successfully shift from rent-seeking on legacy rails to charging transaction fees on high-velocity, programmable collateral.
Regulatory frictions, custody/privacy fears, and slow tokenization adoption could cap near-term returns and derail the infrastructure supercycle thesis.