That story is well-covered. The one running alongside it is not.

According to Dealroom data cited by CNBC in late April, venture capitalists have already funneled $18.8 billion in 2026 into AI startups founded since the start of 2025. That figure is tracking ahead of the $27.9 billion raised by similarly new companies across all of 2025. A parallel funding market is running — smaller in absolute terms, structurally different in almost every other way, and increasingly relevant to investors trying to find returns that don’t require getting into a $1 trillion IPO at the ground floor.

What the Frontier Labs Left on the Table

The concentration of capital at the top of the AI stack has a predictable side effect. When the largest labs compete to release the best frontier model on the shortest cycle, large areas of applied research get deprioritized — not because they lack value, but because they don’t move benchmark scores or win press cycles. That creates an opening.

“When you’re in a race, you narrow focus. That creates a vacuum. Entire areas of research, like new architectures, agents, interpretability and vertical models, are being deprioritised, not because they don’t matter, but because they don’t win the immediate race.”
— Elise Stern, Managing Director, Eurazeo, speaking to CNBC, April 28, 2026

Eurazeo backed AMI Labs, the Paris-based startup founded by Yann LeCun after he left his role as Meta’s chief AI scientist. AMI Labs raised $1.03 billion in a seed round — from Bezos Expeditions, Nvidia, and Samsung — focused on AI systems that understand the physical world, maintain long-term memory, and handle complex reasoning in real-world settings. That is precisely the territory the frontier labs have had least incentive to develop aggressively while the benchmark arms race for text and multimodal generation remains the primary commercial and reputational priority.

AMI Labs is not alone. Former Google DeepMind reinforcement learning researcher David Silver announced a $1.1 billion seed round for Ineffable Intelligence in late April. Another ex-DeepMind researcher, Tim Rocktäschel, is reported to be raising up to $1 billion for Recursive Superintelligence, which focuses on continuous learning architectures. Recursive Intelligence — co-founded by former Anthropic and Google DeepMind researchers Anna Goldie and Azalia Mirhoseini — raised $335 million across two rounds after launching in September 2025, focused on AI tools for chip design. These are seed-stage investments. Most of these companies have no product and no revenue. Investors are paying for the talent, the insight into what the frontier labs are not doing, and the architectural bets that may not produce returns for years.

The More Investable Side of This Wave

The billion-dollar seed rounds capture attention, but they are the thinnest part of the $18.8 billion figure to underwrite. The more instructive pattern — and the more relevant one for sophisticated investors evaluating private market exposure — is what is happening in the application layer, where companies founded since 2025 are raising at Series A and B on the strength of real enterprise revenue rather than researcher pedigree.

The vertical AI thesis has moved from pitch deck to commercial reality in several regulated sectors. Chapter, an AI platform for Medicare advisory, raised $100 million in April 2026 to scale into one of the most structurally complex and high-willingness-to-pay environments in U.S. healthcare. AcuityMD, a commercial intelligence platform for medical device manufacturers, raised $80 million in a Series C led by StepStone Group — notable because the lead is a large institutional alternative asset manager rather than a traditional venture firm, signaling that private markets capital is following AI revenue into medtech sales infrastructure. In fintech, the pattern is consistent: Performativ raised €5.5 million for an AI-native operating system for wealth management; Marloo raised $10 million for financial adviser workflow tools. These are not demo-stage companies. They are solving compliance-heavy operational problems that enterprise buyers have budget to fix.

The common thread is workflow ownership. Vertical AI companies that sit inside a daily operational workflow — not alongside it as an assistant, but embedded in the process itself — generate the retention and expansion economics that justify enterprise software multiples. A Medicare advisory platform that improves by learning from every case it handles is harder to displace than a chatbot wrapper. A commercial intelligence platform that integrates into a sales team’s daily motion builds switching costs over time. The investors writing the larger checks in the second wave are distinguishing between these two categories sharply.

The Dependency the Second Wave Cannot Ignore

The structural question that sits beneath all of this is how closely the second wave’s returns are correlated with the first wave’s success. The application-layer companies building on top of frontier models are, to varying degrees, dependent on the pricing, availability, and capability trajectory of the underlying infrastructure they use. An agentic healthcare platform built on a foundation model faces a different risk profile in 2028 if that model’s provider has repriced API access post-IPO, or if a better-performing open-source alternative has compressed the incumbent’s moat.

That dependency runs both ways. The $300 billion Q1 investment wave was premised partly on enterprise adoption accelerating as fast as the private market assumes. The vertical AI companies now raising at Series A and B on real revenue are the clearest available evidence for whether that assumption is correct. If Chapter’s Medicare platform scales, if AcuityMD’s medtech customers renew and expand, if Performativ’s wealth management operating system crosses into institutional distribution — those outcomes provide the revenue substance that the frontier lab valuations require to be justified from below. The second wave and the first wave need each other, even when they are funded by different parts of the market on different timelines.

What Sophisticated Investors Are Actually Pricing

The $18.8 billion flowing into post-2025 AI startups is not homogeneous. The billion-dollar seed rounds for researcher-founded labs are effectively long-dated bets on architectural approaches that may or may not produce commercial products in the next three to five years. They are venture capital in its purest form — high conviction, long horizon, binary outcomes. The Series A and B rounds for vertical AI companies with paying enterprise customers are something closer to growth equity underwriting: the product works, the market is real, the question is execution at scale.

Investors who conflate these two categories — treating all $18.8 billion as a uniform signal about AI startup health — will draw the wrong conclusions in both directions. The researcher-pedigree seed rounds tell you something about where the frontier labs are not competing. The vertical AI revenue rounds tell you something about where enterprise AI spending is actually landing. Both signals matter. They require different analytical frameworks, different hold periods, and different risk tolerances. The fact that they are both being described as the “second wave” of AI funding is a convenience, not a thesis.

What to Watch Next

• First revenue disclosures from the billion-dollar seed labs. AMI Labs, Ineffable Intelligence, and Recursive Superintelligence have no disclosed revenue. When any of them announces a first commercial product or a named enterprise customer, it will be the first data point separating architectural ambition from commercial execution.
  
• Series B conversion rates for 2025-founded vertical AI companies. The cohort that raised Series A rounds in 2025 on early enterprise traction is now entering its Series B window. How many convert — and at what valuation step-up — will establish whether the vertical AI revenue thesis is compounding or plateauing after early adopter saturation.
  
• Foundation model API pricing post-IPO. OpenAI’s S-1 filing process will eventually disclose its API cost structure. Any post-IPO repricing of inference access changes the margin math for every application-layer company built on top of it and may accelerate the shift toward open-source model deployment among enterprise buyers.
  
• Enterprise AI renewal data in Q2 and Q3 earnings. The hyperscalers’ Q1 results confirmed that AI infrastructure spend is accelerating. The more important signal — whether enterprise software buyers are renewing, expanding, and deepening their vertical AI deployments — will start surfacing in midmarket SaaS earnings through the summer.
  
• Yann LeCun’s first AMI Labs product announcement. LeCun’s specific focus on grounding, causality, and physical-world reasoning represents a direct architectural critique of the current transformer-dominant paradigm. The first public demonstration of whether that critique produces a commercially usable system will be one of the more consequential AI product announcements of the year.

The gap between DealMaker’s market position and its coverage is one of the more interesting disconnects in private markets right now. Understanding why it exists — and what it says about where the crowdfunding industry is actually heading — is worth the time for any investor paying attention to this space.

The Volume Leadership Nobody Talks About

Per the Kingscrowd 2025 Investment Crowdfunding Annual Report, DealMaker raised $292 million in Reg A+ last year — more than 50% of all capital raised under the exemption across the entire U.S. market. Combined with $66 million in Reg CF activity, DealMaker processed more than $358 million across both exemptions in 2025 alone. Its Reg A+ volume grew 157% year-over-year. By the company’s own accounting, total capital processed for the year cleared $500 million across all raise types on the platform.

In Q1 2026 — a difficult quarter for the category overall, with Reg CF volume falling 29% and Reg A+ dropping 45% from the prior year — DealMaker still led the Reg A+ market with $62.7 million raised, more than five times StartEngine’s second-place total of $12.3 million. In a quarter defined by contraction, DealMaker’s lead over the field widened.

Why the Model Is Different — and Why It Matters

Wefunder and Republic are marketplaces. Investors come to their platforms, browse deals, and invest. The platform controls the discovery layer and owns the investor relationship. DealMaker operates on a fundamentally different logic: it is infrastructure. Companies using DealMaker run their raises on their own branded pages, own their investor data, and control the relationship with every person who invests. DealMaker provides the compliance engine, payment processing, transfer agent services, and investor relations tools underneath — invisibly.

That white-label structure is the source of DealMaker’s margin advantage and its strategic optionality. A marketplace earns from deal discovery. An infrastructure provider earns from every transaction that flows through its rails, regardless of where the investor found the deal. As the crowdfunding market matures and capital concentrates in fewer, larger raises — exactly the pattern Kingscrowd documented in 2025, with 20% fewer new Reg CF offerings but meaningfully higher average raise sizes — the infrastructure provider benefits from higher per-raise economics rather than being diluted by shrinking campaign counts.

“We cannot afford to leave billions of dollars in potential economic impact on the table. Expanding these capital-raising frameworks will create jobs, fuel innovation, and level the playing field for founders outside of traditional financial hubs.”
— Rebecca Kacaba, CEO and Co-Founder, DealMaker, testimony before the U.S. House Financial Services Committee, February 26, 2025

From $2 Billion to $5 Billion: The Trajectory the Numbers Tell

DealMaker was founded in 2018 by capital markets lawyers — a founding story that shaped what the company built. It entered the U.S. Reg CF market in July 2022, later than its peers, and reached its first billion in cumulative capital processed later than Wefunder or StartEngine. But the trajectory accelerated sharply. The company announced its New York City headquarters in April 2025, citing the need to be closer to the capital markets ecosystem it was increasingly serving. By November 2025, total cumulative capital raised had crossed $2.3 billion and the company closed a $20 million financing round from Information Venture Partners and existing partner CIBC Innovation Banking. By the end of 2025, the company was citing more than $5 billion raised since inception across all raise types on its platform.

That cumulative figure reflects a business that has moved well beyond its early positioning. DealMaker’s issuer base now includes high-growth startups, consumer brands running Reg A+ campaigns as capital formation tools, and publicly traded companies raising supplemental capital directly from retail investors post-IPO. The Monogram Technologies story — which raised $13 million through DealMaker, then listed on Nasdaq, and was ultimately acquired by Zimmer Biomet for $177 million — became an illustration of the full-cycle thesis the company has been building toward. The raise funded the company; the listing provided liquidity; the acquisition returned capital to retail investors who got in at the private stage.

The Regulatory Bet Is Already Placed

CEO Rebecca Kacaba testified before the House Financial Services Committee in February 2025, specifically advocating for raising the Reg CF annual cap from $5 million and for increasing the Reg A+ ceiling. The INVEST Act, which passed the House in April 2026, includes provisions to double the Reg A+ cap to $150 million. A separate SEC petition to raise the Reg CF cap to $20 million remains pending.

Both reforms, if enacted, benefit DealMaker disproportionately relative to its peers. A $20 million Reg CF cap transforms the exemption from a community-funding tool into a meaningful growth capital pathway — one that attracts later-stage, more sophisticated issuers who currently have no reason to use Reg CF at a $5 million ceiling. Those issuers require a compliance-grade infrastructure layer and a capital markets execution partner, not a discovery marketplace. The same logic applies to a $150 million Reg A+ cap, which would allow DealMaker’s already-dominant Reg A+ position to compound into a far larger addressable market. DealMaker didn’t just position for regulatory reform — it testified for it, and built the platform to absorb the volume if and when it arrives.

The Moves That Signal Larger Ambitions

Several recent DealMaker developments are worth reading together rather than individually. The New York headquarters move put the company physically inside the financial ecosystem it wants to serve at larger scale. The acceptance of USDC stablecoin payments — one of the first platforms in the crowdfunding space to do so — opens the door to a broader, digitally-native investor base without requiring traditional payment rails. The launch of DealMaker Sports created a vertical built around fan ownership, a category that produces high investor engagement, strong brand alignment, and repeat participation across multiple raises.

The pattern is consistent: DealMaker is building distribution adjacencies that compound the value of its core infrastructure rather than competing with marketplace peers on deal discovery. Each vertical expansion — sports, consumer brands, public company retail raises — brings a new issuer type and a new investor community onto the same underlying platform. The infrastructure earns from all of them. The November 2025 financing round, relatively modest at $20 million for a company processing $500 million annually, reads less like a growth round and more like a strategic signal — a named institutional investor in Information Venture Partners, a deepened relationship with CIBC Innovation Banking, and a company that does not appear to need the capital as much as it needs the strategic alignment it brings.

What the Industry Isn’t Saying About This Yet

The crowdfunding category discussion in 2026 is still largely organized around Wefunder and StartEngine, with Republic occupying a separate lane as it builds out its tokenized private market products. DealMaker does not compete in that framing. It operates in a different strategic layer, one that sits beneath the platforms investors are familiar with and above the raw regulatory infrastructure of the JOBS Act exemptions. That positioning — deliberately invisible to investors, intentionally valuable to issuers — is exactly what makes it easy to overlook and potentially important to understand before the regulatory reforms that would most benefit it are resolved.

The $75 million Reg A+ ceiling has been the binding constraint on DealMaker’s largest issuers. A $150 million ceiling creates a category of raise that looks, from a capital formation perspective, less like crowdfunding and more like a small listed offering. DealMaker, with its compliance infrastructure, capital markets relationships, and issuer-centric model, is currently the best-positioned platform in the country to execute those raises at scale. That is not a narrative that has made it into the coverage yet.

What to Watch Next

• Senate Banking Committee action on the INVEST Act’s Reg A+ cap provisions. The House passed the doubling to $150 million; Senate markup will determine whether the number holds, gets amended, or gets stripped. DealMaker’s addressable market changes materially depending on where the cap lands.
  
• SEC response to the Reg CF cap petition (petition 4-889). A public comment window opening would signal the Commission is moving toward action. A $20 million Reg CF ceiling transforms the types of issuers DealMaker can serve under that exemption and extends its infrastructure advantage to a new issuer tier.
  
• DealMaker’s next strategic move. The New York headquarters, USDC payments, DealMaker Sports, and the $20 million financing round collectively suggest a company building toward something larger than white-label compliance services. Watch for a broker-dealer expansion, a move into direct secondary trading, or an acquisition in the investor-relations or capital markets execution space.
  
• Full-year 2026 Reg A+ volume figures. If the category rebounds from Q1’s soft quarter and DealMaker maintains its 50%-plus market share, the gap between its platform dominance and its public recognition becomes harder to overlook — particularly for institutional investors starting to price the retail private markets opportunity.
  
• Issuer pipeline through the IPO window. DealMaker’s model is most valuable to issuers who are on a path to a public listing — Reg A+ as a capital formation step before a Nasdaq or NYSE debut. As the IPO window reopens through H2 2026, watch for DealMaker-hosted raises in the pre-IPO pipeline and any announcements of named exchange relationships or listing partnerships.

That sequencing matters. Because what the market priced in the first session and what the announcement actually contains are not the same thing.

Letters of Intent Are Not Contracts

The Department of Commerce was careful about its language. The agency announced the signing of nine letters of intent — a standard pre-award step that initiates a due diligence and negotiation process before any funds change hands. LOIs are not disbursement orders. They are the beginning of a process that includes compliance review, final term negotiation, and, in some cases, Congressional notification requirements. The CHIPS Act semiconductor awards that preceded these quantum grants — including the Intel deal announced in August 2025 — went through months of negotiation between LOI signing and final agreement execution. There is no disclosed timeline for when these quantum LOIs convert to binding agreements.

That is not a reason to dismiss the announcement. The policy signal is real: the U.S. government has formally designated fault-tolerant quantum computing as a strategic infrastructure priority, extended the CHIPS Act industrial policy model to an entirely new sector, and named nine specific technology approaches worth backing. That has lasting implications for the companies involved and for the broader competitive dynamic with China. But it is a different thing from nine companies receiving $2 billion in cash.

“With today’s CHIPS Research and Development investments in quantum computing, the Trump administration is leading the world into a new era of American innovation.”
— Howard Lutnick, Secretary of Commerce, Department of Commerce press release, May 21, 2026

The Equity Stake Provision Is the Part Worth Understanding

Every one of the nine awards includes a government equity stake as a condition of funding. This is the same structure applied to the Intel CHIPS award last year — a model the administration has now explicitly extended beyond semiconductors into quantum hardware. For sophisticated investors, the equity provision changes the ownership math in ways that weren’t priced into the session-day spike.

A government equity position means dilution for existing shareholders, the creation of a new class of stakeholder with no profit motive and potentially different priorities, and the introduction of ongoing disclosure and compliance obligations tied to the award terms. The specific stake sizes and governance rights have not been disclosed for any of the nine recipients. Until the LOIs convert to final agreements — and the terms of those agreements are made public — the equity provision is an open variable sitting inside a valuation that moved 15–17% in a single session on incomplete information.

The Portfolio Deliberately Avoids Picking a Winner

The nine recipients span nearly every viable approach to quantum computing that exists today. IBM and Rigetti pursue superconducting qubits. D-Wave operates quantum annealing systems — a fundamentally different architecture that is the only approach currently running enterprise applications in production at meaningful scale. Quantinuum works with trapped-ion technology. Atom Computing and Infleqtion develop neutral-atom systems. PsiQuantum builds photonic quantum processors. Diraq is developing silicon-spin qubits using standard CMOS fabrication lines, which, if it works at scale, could be the most manufacturable approach of any on the list.

IBM anchors the portfolio with a $1 billion commitment to build Anderon, a new standalone subsidiary described as America’s first pure-play quantum wafer foundry. GlobalFoundries receives $375 million to establish a multi-modality quantum foundry covering superconducting, trapped-ion, photonic, topological, and silicon-spin architectures. The foundry layer is the strategic bet beneath all the others: without domestic manufacturing infrastructure for quantum-grade superconducting wafers, every other approach on this list eventually hits a supply chain dependency. The government is trying to solve the whole stack, not just fund the most visible names.

D-Wave Is the Outlier in This Group — and That Is Worth Noting

Most of the seven quantum computing recipients are research-stage companies with limited or no commercial revenue. Rigetti reported $7.1 million in full-year 2025 revenue against a GAAP net loss of $216 million. IonQ, the largest of the publicly traded names by market capitalization, generated $110 million in 2025 revenue — meaningful, but still heavily weighted toward government contracts and research institutions rather than enterprise commercial deployments at scale.

D-Wave stands apart. The company reported $24.6 million in 2025 revenue, up 179% year-over-year, with more than 135 paying customers including over two dozen Forbes Global 2000 enterprises using its annealing systems in production. That is not a lab experiment. D-Wave’s annealing architecture is architecturally distinct from the gate-model systems most of its co-recipients are building toward, and the $100 million grant it received is the same size as Rigetti, Quantinuum, and Infleqtion — companies with fundamentally different revenue profiles. The government’s equal-weight treatment of companies at very different stages of commercial maturity is a deliberate hedge, not a performance ranking. Investors who interpreted the uniform move in quantum stocks as a uniform validation of all nine companies were reading the announcement incorrectly.

The China Context Is the Real Driver

The announcement’s geopolitical framing was not incidental. Commerce Secretary Lutnick’s statement emphasized American leadership and domestic industry explicitly, consistent with the administration’s broader posture on strategic technology competition. China has made quantum computing a national priority under its 14th and 15th Five-Year Plans, with state investment in quantum research estimated to exceed U.S. levels on a sustained basis since 2021. The CHIPS Act quantum awards are designed to do what the semiconductor awards were designed to do: establish domestic manufacturing infrastructure for a technology the government has decided it cannot afford to import.

For private market investors, the quantum grant structure also raises a question that extends beyond this announcement. If the CHIPS Act model — government grant plus equity stake, conditioned on domestic production and supply chain requirements — becomes the standard path for quantum hardware companies to reach commercial scale, it changes the return profile for early venture investors in these companies. A government co-investor with a minority equity stake and compliance strings attached is a different thing from a clean cap table. That conversation has barely started.

What to Watch Next

• LOI conversion timelines for each of the nine recipients. The CHIPS Act semiconductor awards took months to move from LOI to final agreement. Watch for any Commerce Department disclosure of a review schedule — that will set the timeline for when these incentives become binding.
  
• Government equity stake terms when disclosed. The specific stake sizes, governance rights, and exit provisions have not been published. When they are, the dilution math for existing shareholders in Rigetti, D-Wave, and IonQ becomes calculable for the first time.
  
• IBM Anderon capitalization structure. IBM said it expects outside investors to join as Anderon scales beyond the initial $2 billion commitment. A foundry that manufactures quantum-grade superconducting wafers for multiple architecture types — and that carries government backing — could attract strategic investment from every company on the recipient list.
  
• D-Wave Q1 2026 results and bookings trajectory. The company entered 2026 with over $32.8 million in post-year-end bookings already closed. First-quarter results will show whether its commercial momentum is accelerating ahead of, or independent from, the government grant runway.
  
• China’s response. Watch for any accelerated procurement announcements from Beijing targeting quantum hardware companies in Europe, Australia, or Canada — particularly PsiQuantum, which is Australian-founded — as the U.S. moves to lock in domestic supply chain relationships.

Until that ruling arrives, the story of private credit entering America’s $14.2 trillion defined contribution market remains, at its core, a story about litigation fear dressed up as a product launch.

The Regulatory Ladder Has Been Built. The Last Rung Is in Court.

On August 7, 2025, President Trump signed an executive order directing the Department of Labor to ease restrictions on alternative investments in 401(k) plans. The DOL responded on March 30, 2026, releasing a proposed process-based safe harbor rule that would give fiduciaries a documented path to include private equity, private credit, real estate, and other alternatives alongside traditional fund menus. The comment period closes June 1.

“The department’s days of picking winners and losers are over. Our rule clearly spells out that managers must evaluate any and all potential product offerings by following a prudent process.”
— Keith Sonderling, Acting Secretary of Labor, March 30, 2026

The proposed rule identifies six factors fiduciaries must document when selecting alternatives: performance, fees, liquidity, valuation methodology, performance benchmarks, and complexity. Follow the process, and the rule creates a legal presumption of prudence. That presumption is the commercial unlock the industry has been waiting for since ERISA was passed in 1974.

But there is a complication sitting one floor above the regulatory stack. In January 2026, the Supreme Court agreed to hear Anderson v. Intel Corp., a case that asks whether ERISA plaintiffs must plead a “meaningful benchmark” to survive a motion to dismiss in fund underperformance cases. The case is scheduled for argument in the October 2026 term. A ruling favorable to plan sponsors would substantially raise the bar for the lawsuits that have historically kept private assets off 401(k) menus. A ruling the other way keeps that litigation risk alive regardless of what the DOL’s final rule says.

The First Product Is Already Live. Adoption Is Not.

State Street and Apollo were first out of the gate. In April 2025, State Street Global Advisors launched its Target Retirement IndexPlus Strategy, a collective investment trust that allocates 90% to public market index strategies and 10% to a private markets sleeve managed by Apollo. Shortly after, Great Gray Trust announced a comparable structure built in partnership with BlackRock, pairing BlackRock’s custom glidepath with private equity and private credit exposure at allocations ranging from 5% to 20% depending on participant age. BlackRock’s own research suggests adding private credit to a target-date structure could improve annual returns by roughly 50 basis points and generate 15% more assets over a 40-year savings horizon.

These are real products. They are in the market. But Morningstar’s analysis, published in early 2025, noted that as of that point, the only well-known firm to have launched something was State Street. BlackRock’s target date rollout for 401(k) plans was still being described as a first-half 2026 initiative. Empower, the second-largest U.S. retirement services provider, announced it would offer access to private investments in some workplace plans this year. The list of announced intentions is considerably longer than the list of plan sponsors who have pulled the trigger.

The reason is not ignorance of the product. Jaret Seiberg, financial services analyst at TD Cowen, put the obstacle plainly in a research note following the DOL’s March announcement: fiduciaries will remain skeptical until the courts have confirmed the proposed language actually protects them from litigation. “That means it could be several years before we see the real impact from this proposal,” Seiberg wrote. The history of ERISA litigation gives that caution a solid empirical basis. The Anderson v. Intel case itself involves a plan that included custom target-date funds with private equity exposure. The plaintiffs alleged imprudence based on underperformance, and the resulting litigation has now reached the Supreme Court.

The Number That Explains the Stakes

Total U.S. retirement assets reached $49.1 trillion as of December 31, 2025, according to the Investment Company Institute. Defined contribution plans, which include 401(k)s, held $14.2 trillion of that. Pension plans, which have faced none of the ERISA litigation constraints that govern participant-directed plans, have historically allocated roughly 16% of assets to private markets. If DC plans ever approach that allocation level, the math produces a capital flow of more than $2 trillion into an asset class that currently manages approximately $1.5 to $2 trillion in total direct lending volume globally.

Private credit managers have understood this arithmetic for years. Apollo, Blackstone, Ares, and Blue Owl have each built or acquired retail distribution infrastructure aimed at bringing credit products to non-institutional investors. Blackstone’s credit and insurance segment reached $432 billion in assets under management as of Q3 2025. Apollo’s private credit AUM stood at $723 billion as of the same period. These firms are not waiting for the regulatory outcome to position themselves — they are already at the table. The open question is which recordkeeping platforms and plan sponsors will go first, and on what timeline, once the DOL’s final rule and the Supreme Court’s Anderson decision are both in hand.

What the industry has not yet seen is a named first-mover product announcement from a major recordkeeper — a Fidelity, Vanguard, or large insurance platform committing to a specific private credit sleeve inside a target-date or managed account structure at scale. The State Street and BlackRock/Great Gray launches are meaningful. But neither Fidelity nor Vanguard, which together manage the largest share of defined contribution assets, has made that announcement. When one of them does, the conversation shifts from policy to practice in a way that none of the regulatory milestones alone can accomplish.

The Comment Period Is the First Real Signal

The DOL’s proposed rule on Federal Register attracted over 37,000 comments before the June 1 close — a volume the agency has not seen since the Biden-era Retirement Security Rule. The breadth of the response reflects how much is at stake. Private fund managers, plan sponsors, labor unions, and consumer advocacy groups all submitted substantive comments. Senator Elizabeth Warren opposed the rule directly, arguing it exposes retirement savers to unnecessary risk. The Managed Funds Association and the American Retirement Association expressed support, with ARA characterizing the proposal as “continuity of, not a departure from, the established ERISA fiduciary framework.”

The final rule is expected by the end of 2026. Whether that timeline holds, and whether the rule survives the legal challenges that accompanied the Biden DOL’s fiduciary rulemaking, will determine how quickly the product pipeline actually reaches participants. For investors watching this space, the comment volume is less interesting than the comment quality. The most consequential submissions will be from major plan sponsors and recordkeepers describing what explicit protections would change their behavior. Those comments are the blueprint for the final rule’s most commercially relevant provisions.

What to Watch Next

• The DOL’s response to the comment period after June 1 — specifically whether the agency adds an explicit litigation safe harbor or narrows the six-factor test in response to legal challenges anticipated from consumer groups. That language will determine whether major plan sponsors treat the rule as actionable guidance or wait for further judicial clarity.
  
• Anderson v. Intel oral argument, scheduled for the Supreme Court’s October 2026 term. A ruling that raises the bar for ERISA fund-underperformance claims would be the single most consequential event for accelerating DC plan adoption of alternatives — more so than any regulatory guidance the DOL can issue on its own.
  
• BlackRock’s Great Gray target-date fund adoption metrics. BlackRock has described the first half of 2026 as the rollout window. Any disclosure of plan sponsor commitments or participant enrollment numbers will provide the first real-world test of whether early-mover demand matches the industry’s projections.
  
• Whether Fidelity, Vanguard, or a major insurance-platform recordkeeper announces a specific private credit sleeve in a managed account or target-date structure. That announcement has not happened yet and remains the most direct signal that the category has crossed from policy debate to mainstream practice.
  
• Private credit market conditions through H2 2026. Evergreen private credit funds held $644 billion in assets as of mid-2025. Any meaningful softening in credit quality — particularly in middle-market direct lending, where most DC-accessible products are concentrated — would give both regulators and plan sponsors new grounds for caution before the Anderson ruling arrives.

The 10-year Treasury yield touched 4.60% on May 18, its highest level in 15 months. The 30-year bond crossed 5.2% the same week, a threshold last seen before the 2007 financial crisis. Neither number is a crisis signal on its own. Together, in the context of three pre-profitability growth companies preparing to ask public investors to accept revenue multiples above 75x, they represent a meaningful repricing of the environment those roadshows must navigate.

Two Reports in One Week Closed the Door on Rate Cuts

The bond market move was not a slow drift. It was triggered by back-to-back inflation data that arrived the week of May 12 and left rate-cut expectations in pieces. April CPI came in at 3.8% year-over-year, the highest reading since May 2023, driven primarily by a 28.4% surge in gasoline prices and 17.9% energy costs broadly, both flowing from the disruption to Strait of Hormuz shipping that began in late February. Core CPI, which excludes food and energy, rose 2.8% annually, still well above the Fed’s 2% target. The following day, April PPI came in at 6% year-over-year, the fastest pace since 2022.

The CME FedWatch tool, which tracks fed funds futures, shifted sharply. By midweek, traders were pricing a 25% probability of a rate hike by year-end, up from roughly 21% the prior Monday. That is not a majority view, but it is a meaningful one. A market that entered 2026 expecting two or three cuts this year is now debating whether the next move is tighter. That is the rate context in which SpaceX is preparing a June roadshow, and in which OpenAI is contemplating a September one.

“Today’s inflation report is certainly another nail in the coffin of the idea Fed officials have to welcome the new Fed Chair with an interest rate cut this year.”<
— Chris Rupkey, Chief Economist, FWDBONDS, May 12, 2026

Warsh Inherits a Fed That Cannot Give Him What He Wants

The timing could not be more complicated. Kevin Warsh was confirmed as Federal Reserve Chair by the Senate on May 13 in a 54-45 vote, the most contested confirmation in the institution’s history, and was sworn in on May 15 as Jerome Powell’s term expired. Warsh had been nominated in part on the argument that AI-driven productivity gains would allow the Fed to ease without reigniting inflation. The data released the week of his confirmation made that argument harder to sustain immediately. The Fed funds rate has been held steady at 3.5% to 3.75% since December, and Warsh’s first FOMC meeting as chair is scheduled for June 16-17, coinciding almost exactly with SpaceX’s anticipated roadshow open.

The bond market’s message to the incoming chair has been blunt. Ed Yardeni of Yardeni Research, cited in CNBC reporting the week of Warsh’s confirmation, noted that the 2-year Treasury yield sitting above the federal funds rate is a signal that the bond market believes the current policy rate is not high enough to contain inflation. That configuration rarely resolves without either the Fed tightening or inflation breaking on its own. Neither outcome is clearly in sight before the SpaceX roadshow begins.

What 4.5% Actually Does to a 95x Revenue Multiple

The mechanics are not complicated, but they are worth stating precisely. A discounted cash flow model for a pre-profitability company is extremely sensitive to the risk-free rate. When the 10-year sits at 4.0%, a company with plausible long-run margins and strong revenue growth can support a very high current multiple because the terminal value, discounted back, is large relative to near-term cash flows. When the 10-year sits at 4.6%, that same terminal value shrinks. The math does not change the business; it changes what the business is worth today.

SpaceX’s S-1 implies a consolidated revenue multiple of roughly 95 to 107 times its 2025 revenue of $18.7 billion at the reported $1.75 to $2 trillion valuation range, according to analysis published alongside the filing. OpenAI’s reported target of above $1 trillion implies a multiple above 75 times estimated 2025 full-year revenue. These are not multiples that compress gracefully when the discount rate moves 40 to 60 basis points. The Starlink segment of SpaceX generates real operating income and partially anchors the valuation, but the AI and enterprise applications segments that carry most of the implied value are loss-making and speculative by any conventional measure. That is the portion of the valuation most exposed to a rate move of the magnitude the market has seen since February.

This Has Happened Before — Just Not at This Scale

The geopolitical origin of the current rate spike is a useful point of reference. When the Iran conflict began in late February, markets initially read it as an IPO window-closing event, and they were right. The IPO market effectively froze through March, with only four U.S. companies pricing above $1 billion in Q1. What has happened since is more complicated: markets recovered in April and May, the SpaceX S-1 dropped on May 20, and the surface-level reading is that the window reopened. But the rate environment that accompanied the recovery is meaningfully tighter than what existed before the conflict, because the energy price shock translated directly into the CPI and PPI readings that triggered the May bond selloff.

The 2022 parallel that rate strategists keep reaching for is instructive but imperfect. In 2022, the Nasdaq fell 33% peak to trough as the 10-year moved from 1.5% to 4.3%. The starting multiple in tech was higher than today, and the rate move was vertical. The 2026 move has been a slower grind, from roughly 4.2% in February to 4.6% in May, and tech earnings have been genuinely strong throughout. Nvidia reported $81.6 billion in Q1 FY2027 revenue on May 20 with 85% year-over-year growth. The underlying businesses are not in the same distress as 2022 growth stocks. But the multiple compression logic is the same, and it applies with particular force to companies that are still building the earnings that will eventually justify the valuation investors are asked to pay on day one.

The Roadshow Calendar Is Now a Rate Calendar

SpaceX’s planned June roadshow open falls between Warsh’s first FOMC meeting on June 16-17 and whatever market signal that meeting produces. If Warsh signals a hawkish tilt, or simply removes the easing bias the FOMC has carried since December, the 10-year could test 4.7% or higher during the active book-build period. That is not a scenario that kills the SpaceX IPO — the institutional demand for a company of this visibility is different from the demand that supports a mid-cap growth listing — but it is a scenario that affects the clearing price and the retail allocation math. The S-1 explicitly lists Schwab, Fidelity, and Robinhood in the selling group, targeting retail investors at the same price as institutions. That retail participation makes the rate sensitivity more direct: individual investors buying into a June IPO at a 100x-revenue multiple are doing so with a 4.6% risk-free alternative sitting one click away in a money market fund.

OpenAI’s situation is more exposed. A September listing target gives the company four additional months of inflation data, two more FOMC meetings, and presumably the early market signal from SpaceX’s aftermarket trading. If SpaceX prices cleanly and holds, it opens the window for OpenAI to follow. If SpaceX prices and struggles — particularly in the AI and enterprise segments where the multiples are least defensible on current financials — OpenAI’s bankers at Goldman Sachs and Morgan Stanley will have a harder conversation with the company about whether September is realistic. CFO Sarah Friar has already expressed reservations about the readiness of the business for public markets. A rate environment that compresses terminal values would add external evidence to that internal caution.

Anthropic’s October target sits furthest out, which is either a structural advantage or a prolonged exposure to a deteriorating rate environment, depending on which way the next four months resolve. The company’s reported $900 billion valuation and above-70% gross margin profile give it a different argument than either SpaceX or OpenAI. But it is still pricing into a market where the risk-free rate may be 50 basis points higher than the market expected in January, and where the Fed’s posture under a new chair remains genuinely uncertain.

The IPO wave is real. The businesses behind it are larger, better capitalized, and more operationally mature than anything that came before them at this scale. None of that changes the fact that the rate environment they are walking into is the most complicated since the 2022 growth selloff, and that the specific mechanism driving rates — an energy-driven inflation spike from a geopolitical conflict with no clear resolution timeline — is one the Federal Reserve has limited ability to directly control. Warsh’s first months in the chair will do as much to determine the final pricing on these deals as any roadshow deck.

What to Watch Next

• The June 16-17 FOMC meeting under Warsh. His first statement as chair will either confirm or retire the easing bias the committee has carried since December. Any language suggesting rate hikes are back on the table would immediately reprice the SpaceX book-build environment and could force a delay or valuation adjustment before pricing.
  
• May CPI, due mid-June. If the May report shows April’s energy-driven spike beginning to moderate, it gives the roadshow a cleaner backdrop. If energy costs remain elevated above $4.50 at the pump and the CPI print comes in above 3.5%, the institutional allocation for SpaceX will tighten and the retail participation story becomes harder to tell.
  
• SpaceX first-day trading and aftermarket performance through July. The pricing and early trading will be the first real-world test of whether institutional investors will absorb a 95x-revenue multiple on a net-loss company in a 4.6% rate environment. That answer sets the risk appetite for OpenAI’s September roadshow more directly than any other variable.
  
• OpenAI’s internal revenue trajectory through Q2. The company has missed internal revenue and user growth targets at points in 2026. If Q2 data, which will be disclosed in the confidential S-1 review process, shows reacceleration, it gives the company and its bankers the evidence needed to hold the $1 trillion target. If growth is flat or slowing, the September window compresses toward Q4 regardless of rate conditions.
  
• The 30-year yield relative to 5.2%. The 30-year touched 5.2% during the May bond rout, its highest since 2007. Sustained trading above that level would signal that the term premium is repricing structurally, not just in response to a geopolitical spike. That would be the most consequential rate signal for anyone modeling the terminal values that underpin the three mega-IPO valuations.

The round itself was the largest single autonomous vehicle financing in history. Waymo raised $16 billion led by Dragoneer Investment Group, DST Global, and Sequoia Capital, with Alphabet anchoring approximately $13 billion of the total and maintaining its majority stake. The new investors joining the cap table include Kleiner Perkins and GV. That is not a group that routinely overpays for growth stories. Something has changed in how sophisticated capital is pricing autonomous vehicle businesses, and it is worth understanding exactly what.

What the Operational Data Actually Shows

Waymo is no longer a research program. As of Q1 2026, the company was delivering more than 500,000 fully autonomous rides per week across 10 U.S. metropolitan areas, a figure Alphabet CEO Sundar Pichai cited on the company’s Q1 2026 earnings call. That is roughly double the rate from mid-2025. In 2025 alone, Waymo completed 15 million rides, more than tripling the prior year’s volume, and has now surpassed 20 million lifetime paid trips on a fleet of 3,000 robotaxis. The company’s own target is 1 million rides per week by year-end, a figure co-CEO Tekedra Mawakana called an “inflection point” in a February Bloomberg television interview.

The revenue math that flows from those rides is relatively straightforward. Sacra estimates Waymo’s average fare at roughly $15 to $17 per ride, priced approximately 15% below Uber and Lyft in overlapping markets. At 500,000 weekly rides and $16 average fare, the annualized run rate sits around $416 million — slightly above the $355 million figure from February, consistent with the scaling trajectory. Management’s 1-million-rides-per-week target implies an annual revenue run rate approaching $1.6 billion if pricing holds. That is still a 79x revenue multiple on a $126 billion valuation. The math only closes if you believe 2026 is not the destination — it is the launch ramp.

“We are no longer proving a concept; we are scaling a commercial reality, laying the groundwork for ride-hailing operations in over 20 additional cities in 2026, including Tokyo and London.”<
— Tekedra Mawakana and Dmitri Dolgov, Co-CEOs, Waymo, February 2, 2026

Why the Valuation Gap Exists — and Why Investors Are Paying It

The standard objection to Waymo’s valuation is that no autonomous vehicle company has ever scaled profitably, and that $126 billion requires a leap of faith that the unit economics will hold across new cities, new geographies, and new regulatory environments. That objection is not wrong. But it misses the structural shift that the investor base is actually pricing: Waymo has moved from a technology demonstration into a recurring revenue business with no driver cost. Every ride a human Uber driver completes generates a fare that is immediately split — Uber takes roughly 25 to 30% and the driver takes the rest. Every ride a Waymo completes accrues almost entirely to the operator once the vehicle is depreciated. The gross margin profile of a mature autonomous fleet is structurally different from anything else in ride-hailing.

The competitive moat argument is also more durable than it looks from the outside. Physical AI at commercial scale is extraordinarily expensive to replicate. Waymo has logged more than 200 million fully autonomous miles on public roads — a training and safety data set that no new entrant can acquire quickly. Its safety record is verifiable: 90% fewer serious injury crashes than human drivers across 127 million rider-only miles through mid-2025, according to the company’s own published research, with independent Swiss Re analysis corroborating the property damage figures. Regulators in new cities move faster with a company that already has that record than they do with one that is still accumulating it.

The fleet cost problem is real, and worth taking seriously. Co-CEO Dmitri Dolgov has disclosed that the current Jaguar I-PACE platform costs roughly $175,000 per vehicle — approximately $75,000 for the car and $100,000 for the sensor stack and compute hardware. Getting from 500,000 to 1 million weekly rides on the current platform requires adding roughly 3,500 vehicles, which implies over $600 million in capital expenditure on vehicles alone before accounting for mapping, remote support, and per-city regulatory overhead. The next-generation Zeekr RT platform is expected to bring the total vehicle cost significantly lower, which is part of why investors are willing to fund the expansion now rather than wait for profitability at the current cost structure.

The Alphabet Relationship Is the Asset Investors Are Really Buying

Waymo’s majority owner contributed approximately $13 billion of the $16 billion raised — and that is not incidental to the valuation. Alphabet’s balance sheet backstops the expansion in ways no independent startup could replicate. The compute infrastructure, mapping data, and regulatory relationships Waymo inherits from Alphabet represent a structural cost advantage that does not appear directly in any revenue multiple. Alphabet CEO Sundar Pichai has said publicly that Waymo should begin contributing meaningfully to Alphabet’s bottom line by 2027. That is not a vague aspiration — it is guidance from a company that has already committed $13 billion to the outcome.

The Other Bets segment, which includes Waymo, reported $411 million in Q1 2026 revenue, down slightly from $450 million in the year-ago quarter. That sequential softness is not a Waymo signal; Other Bets includes several businesses at different stages. What matters is that Waymo’s ride volume is scaling while Alphabet’s broader AI platform — Google Cloud up 63% year-over-year, Gemini paid subscriptions reaching 350 million — provides the financial cushion for Waymo to build the fleet it needs without pressure to optimize unit economics prematurely.

The Questions the $126 Billion Doesn’t Answer

The investor case is coherent. That does not mean it is certain. Three questions remain genuinely open. First, the international expansion is unproven. London and Tokyo represent Waymo’s first right-hand-drive deployments, in regulatory environments that are more cautious and jurisdictionally complex than any U.S. city. The company is mapping both cities and has begun testing, but the timeline from mapping to paid commercial operations has varied widely in U.S. markets — from a few months in some cities to years in others. A stumble in London, which carries significant media visibility, would reprice the global expansion thesis quickly.

Second, the competitive landscape is no longer as clear as it was in 2023. Tesla’s robotaxi ambitions remain unverified at the scale Elon Musk has described, but the company controls its own vehicle manufacturing at volumes Waymo cannot match. Chinese autonomous vehicle competitors including Baidu Apollo and WeRide are operating in their domestic market under conditions that could produce cost structures significantly below Waymo’s current baseline. And Travis Kalanick’s new autonomous vehicle venture — backed by Uber — is an explicit bet that Waymo’s moat is narrower than its valuation implies. None of these are immediate threats. All of them are worth modeling over a five-year horizon.

Third, the profitability timeline is structurally dependent on the vehicle cost coming down faster than the expansion costs go up. The Zeekr RT platform, which is expected to lower per-vehicle costs substantially, is entering the fleet now. If the cost curve bends as projected while ride volume compounds toward 1 million per week, the unit economics argument becomes much easier to make by late 2026. If the Zeekr deployment lags, or if city-by-city expansion proves more expensive than the current model assumes, the 2027 bottom-line contribution Pichai referenced becomes harder to achieve.

The gap between $355 million in revenue and $126 billion in valuation is not evidence that the market is wrong. It is evidence that the market is pricing a very specific future — one in which autonomous ride-hailing scales to millions of weekly rides globally, with a margin profile that no human-driven competitor can replicate, under the financial shelter of one of the most profitable technology companies on the planet. That future is possible. The 2026 operational data will do more to confirm or challenge it than any analyst model.

What to Watch Next

• Waymo’s weekly ride volume trajectory through Q3 2026. The 1-million-rides-per-week target implies roughly doubling from the current 500,000 pace. Whether the ramp is linear, accelerating, or plateauing will be the single most important data point for validating the expansion thesis before any IPO filing.
  
• London commercial launch timing. Waymo has begun testing in the UK, but moving from mapping to paid rides in a right-hand-drive international market is unproven territory. The first revenue-generating trip in London is the threshold event that opens the global expansion narrative to institutional underwriting.
  
• Zeekr RT fleet deployment cost in practice. The new-generation platform is supposed to lower per-vehicle total cost substantially from the current $175,000 baseline. Actual procurement and deployment data — which will eventually surface through Alphabet filings — will determine whether the unit economics improvement is real or delayed.
  
• Any Waymo IPO or spin-off signal from Alphabet. Pichai’s 2027 bottom-line contribution comment may simply be an operating target — or it may be the precursor to a formal separation discussion. Watch for changes in how Alphabet reports Waymo financials, which would be a structural indicator of an independent path.
  
• Competing autonomous vehicle safety data. Tesla’s robotaxi launch, if it proceeds in 2026, will generate its own safety dataset for the first time. Any comparison between Waymo’s 200 million miles of autonomous data and Tesla’s emerging record will reset the safety-moat conversation among institutional investors.