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Crypto Treasury Firms Likely to Consolidate in 2026, Says Exec

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Crypto Breaking News

The crypto treasury market is entering a phase of consolidation as a broad downturn tightens liquidity and pushes balance sheets toward NAV discipline. Industry executive Wojciech Kaszycki, chief strategy officer at BTCS, argues that the combination of cash-generating operations—such as validator services for blockchain networks and offerings in public and private credit—gives treasury firms a distinct advantage over those that merely accumulate crypto. The sector experienced a market-wide downturn in 2025, with many treasuries’ stock prices dipping below the book value of the crypto assets on their balance sheets, underscoring the appeal of scale and diversification in a price-sensitive environment. As the cycle remains challenged, strategic mergers and acquisitions are seen as a plausible path to accelerate recovery and create greater resilience.

Key takeaways

  • The crypto treasury sector is likely to consolidate in 2025–2026 as firms seek scale to weather a protracted downturn and NAV pressure.
  • Operating businesses that generate cash flow—such as validator services for networks and credit instruments—provide a durable income stream and a competitive edge over passive holders.
  • Tokenized real-world assets, especially tokenized public and private credit, could become major revenue sources and usable collateral on DeFi platforms.
  • RWAs are expected to grow over the next 24 months, with tokenization potentially expanding access to credit markets on blockchain rails.
  • Public statements from leaders in the field, plus moves by index providers, signal a continued push to convert crypto treasuries into diversified, income-generating vehicles rather than pure asset pools.

Market context: The wider crypto market has faced liquidity strains and risk-off sentiment, influencing how treasury-focused firms balance crypto exposure with income-generating assets. Tokenized assets and DeFi-based lending and borrowing present new ways to monetize crypto holdings, but scale and governance remain critical concerns as regulators watch the sector closely.

Why it matters

For investors, the shift from pure custody to diversified, income-producing strategies in crypto treasuries could reshape risk profiles and yield expectations. Firms that blend crypto accrual with fixed-income and tokenized credit instruments may deliver steadier cash flows even when crypto prices underperform. This shift also underscores a broader trend toward integrating traditional finance-style revenue sources with blockchain-native assets, potentially broadening the investor base beyond hardcore crypto enthusiasts.

From a builder’s perspective, the push toward tokenized real-world assets and RWAs highlights a need for robust tokenization platforms, secure on-chain collateral mechanisms, and interoperable DeFi layers. If tokenized credit can be reliably originated, securitized, and audited, crypto treasuries could access new pools of capital while offering investors diversified exposure across both digital assets and traditional credit risk—and doing so with increased transparency and liquidity on-chain.

Policy and market infrastructure players are also paying attention. The debate over whether major indices should include crypto-focused treasuries or tokenized credit products continues, with MSСI and other index providers weighing the case for broader crypto exposure through fixed-income-like instruments, a stance that could influence flows and valuation benchmarks. The narrative is not just about price appreciation; it’s about building a durable ecosystem where crypto treasuries function as diversified financial platforms rather than speculative holdings.

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What to watch next

  • Watch for consolidation announcements among crypto treasury players as 2025–2026 market conditions evolve and NAV pressures persist.
  • Track progress in tokenizing real-world assets and the adoption of tokenized public and private credit as DeFi collateral or liquidity channels.
  • Monitor MSCI or other index providers’ commentary or actions regarding crypto treasury companies and RWAs, which could influence institutional access to the sector.
  • Follow regulatory developments around tokenized debt, on-chain collateral standards, and cross-border credit instruments used by treasuries.
  • Observe liquidity trends in DeFi lending and borrowing protocols linked to tokenized assets, which may shape demand for treasury-based credit products.

Sources & verification

  • Interviews and comments from Wojciech Kaszycki, chief strategy officer at BTCS, regarding consolidation and the role of cash-flow-generating operations.
  • Analysis of the 2025 market downturn affecting crypto treasury stock valuations relative to crypto holdings on balance sheets (referenced in related industry coverage).
  • Research and discussion around tokenized real-world assets, particularly tokenized public and private credit, and their potential use as DeFi collateral.
  • MSCI correspondence and potential considerations for including crypto treasury players or RWAs in its indices, as cited in industry discussions.
  • RWA.XYZ private credit overview and related on-chain accessibility of tokenized credit markets.

Market reaction and consolidation in crypto treasuries

Bitcoin (CRYPTO: BTC) treasuries, the subset of crypto asset managers that hold substantial balances of digital assets while simultaneously running revenue-generating operations, stand at a crossroads. The central argument advanced by Kaszycki is that the operating backbone of treasury firms—validator services that secure and govern blockchain networks, and a suite of credit-related offerings—provides a recurring cash flow that pure hodling strategies cannot match. This cash flow, in turn, enables strategic investments in distressed peers and underperforming units, potentially at prices that reflect fear rather than fundamental value. In effect, the downturn could be seen not just as a bear market, but as a field test for structural resilience built on diversified income rather than price appreciation alone.

The narrative is reinforced by a recent market backdrop where many crypto treasuries traded below the net asset value of their crypto holdings, a situation described as a “market-wide downturn” in 2025. The phenomenon underscores the tension between asset prices and the underlying value of on-chain and off-chain earnings streams. It also foreshadows the possibility that consolidations—mergers or acquisitions that combine cash-generating platforms with asset-light traders—could reshape the competitive landscape. In practical terms, a merger between two nimble players with complementary business models can generate outsized gains relative to the sum of their parts. Kaszycki’s line that “two plus two equals six or more” captures a belief that coordination and scale can enable quicker defense and faster growth in a market where many players struggle to maintain NAV integrity.

On the revenue side, tokenized credit markets and RWAs emerge as a core theme. Public and private credit instruments, already a fixture in traditional finance, are increasingly being considered for tokenization on blockchain rails. The idea is that tokenized real-world assets could be used as collateral for DeFi lending or borrowing protocols, providing liquidity and yield diversification for treasuries while tethering crypto-native products to broader credit markets. The concept of tokenized credit is not new, but the expectation that it will expand meaningfully over the next 24 months reflects a broader shift toward on-chain monetization of real-world risk. A companion thread to this development is the growth of tokenized private credit, which is already being showcased by specialized platforms and research projects that map the space as a new frontier for treasury income streams.

In parallel, Strategy—widely regarded as the largest Bitcoin treasury operator—has leveraged fixed-income and credit-like instruments to offer investors economic exposure to Bitcoin through a range of securities. The firm’s approach, highlighted in communications with index providers, demonstrates how crypto treasuries are trying to blend regular income with crypto exposure and risk controls. This dual focus positions treasuries to respond to index-provider dynamics, with MSCI and similar bodies exploring the potential inclusion of crypto-based instruments in mainstream benchmarks. The ongoing dialogue around RWAs and fixed-income instruments signals a convergence between crypto treasury strategies and traditional financial product design, which could be a meaningful driver of adoption, capital formation, and governance clarity for a broader audience.

Looking ahead, the tokenization narrative is anchored by industry references to RWAs as a growth engine. The idea that tokenized assets—particularly tokenized credit—could eventually underpin a meaningful portion of treasury revenue is compelling, but it hinges on robust standards for on-chain settlement, risk management, and regulatory clarity. Market observers are watching for concrete progress in the next 12–24 months, including progress reports on RWAs, tokenization platforms’ capabilities, and credible case studies of on-chain collateral use in DeFi lending markets. The RWA.XYZ private credit overview serves as a signal that such workflows are not merely theoretical; they are being tested in real markets, with potential implications for liquidity, pricing, and risk dispersion across the crypto ecosystem.

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Ultimately, the evolving picture of crypto treasuries reflects a broader trend toward financialization within the sector. While price cycles will continue to influence sentiment, the combination of cash-flow-generating operations, tokenized asset strategies, and disciplined NAV management could redefine the role of treasuries—from passive storage of value to active participants in a more complex, multi-asset financial landscape. The next chapters will likely be written by firms that can blend on-chain innovation with traditional risk controls, while keeping a clear eye on market cycles, regulatory developments, and the flow of capital between crypto markets and conventional finance.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Bitwise files updated S-1 for Hyperliquid ETF as HYPE fund race heats up

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Bitwise files updated S-1 for Hyperliquid ETF as HYPE fund race heats up

Crypto asset manager Bitwise has filed an amended registration statement with the U.S. Securities and Exchange Commission for a proposed exchange-traded fund (ETF) tied to Hyperliquid’s HYPE

The updated S-1 for the fund, which would hold HYPE directly and list on NYSE Arca, said it would trade under the ticker BHYP. The fund aims to track the token’s price, offering investors exposure to it without leveraging crypto exchanges or wallets.

The proposed product includes a staking component. Bitwise said the fund would stake a portion of its holdings to earn additional tokens, with about 85% of staking rewards retained after fees.

The filing also details a 0.67% annual management fee and custody arrangements with Anchorage Digital, a federally chartered crypto bank.

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The price of Hyperliquid’s HYPE token has surged over the past year. The token is up around 200% over the last 12 months, as it became the go-to decentralized trading platform for perpetual contracts, including those tied to traditional financial products.

Other asset managers have also moved to list HYPE-linked exchange-traded funds. These include Grayscale, which filed last month to list under the ticker GHYP on Nasdaq, as well as 21Shares and VanEck.

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Crypto Clarity bill has 30% chance of passing this year, Wintermute’s Hammond says

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Crypto Clarity bill has 30% chance of passing this year, Wintermute’s Hammond says

Ron Hammond, head of policy at crypto market maker Wintermute, has a cautious outlook on the Clarity Act, putting its chances of passage this year at around 30% even as momentum builds in Washington.

“There are a lot of moving parts,” Hammond said, pointing to a legislative process that is advancing, but unevenly. The Clarity Act aims to create rules around crypto market structure regulation in the U.S., including codifying how the Securities and Exchange Commission and Commodity Futures Trading Commission can oversee digital assets in the U.S.

Hammond’s estimate broadly aligns with other signals in the market. A recent Punchbowl survey of lobbyists and staffers put the odds at 26%, while prediction market Kalshi has hovered just above even odds. The spread underscores how uncertain the bill’s trajectory remains.

Still, Hammond, who will be speaking at CoinDesk’s Consensus Miami conference next month, sees incremental progress. Lawmakers are pushing to move the bill through committee, with some aiming for a vote as early as April 20, though he cautioned that such timelines have been fluid for months.

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“These dates are moving,” he said. “There’s light at the end of the tunnel, but there are hurdles along the way.”

Passage of the Clarity Act is widely seen as a key unlock for institutional adoption of crypto because it would establish clear rules around which digital assets are securities versus commodities, and define how they can be traded, custodied and otherwise regulated in the U.S.

Today’s fragmented and uncertain framework has kept many large asset managers, banks and pension funds on the sidelines due to legal and compliance risks. A comprehensive market structure law would reduce that ambiguity, giving institutions the confidence to scale exposure, launch new products, and integrate crypto more fully into traditional financial systems.

Hurdles

At the center of those hurdles: banks.

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According to Hammond, traditional financial institutions remain the biggest obstacle, particularly around the issue of whether stablecoins should offer yield. A recent report from the Council of Economic Advisers has pushed back on bank opposition, but negotiations remain stuck.

“There have been attempts from a number of sides: Coinbase (COIN), the White House, the bill’s drafters, to find a solution,” Hammond said. “But at every turn, the banks refuse to give way.”

The dispute has already derailed at least one compromise. Hammond said a proposed “yield deal” floated roughly two weeks ago failed to satisfy either side, sending negotiators back to the drawing board. A new version is now circulating, but expectations are tempered.

“Even with broader macro pressures, it’s hard to see how the banks get happy here,” he said.

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Democrats

That resistance is shaping the politics around the bill, particularly for Democrats. Hammond noted that some lawmakers who have accepted crypto industry funding are now navigating a difficult balancing act.

“If you’re a Democrat who took crypto money, where do you stand on this issue?” he said, pointing also to unresolved concerns around decentralized finance (DeFi) and anti-money laundering compliance.

Additional political headwinds could emerge in the coming months. Hammond flagged ongoing scrutiny around former President Donald Trump’s crypto-related dealings as a potential flashpoint that could complicate Democratic support if it intensifies around June.

“All of that becomes another headache,” he said.

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Despite the friction, Hammond believes the bill still has a viable, if narrow, path forward. Progress in committee and continued negotiations could keep it alive into midyear, when political incentives may shift.

“There will be some progress soon,” he said.

U.S. expansion

For Wintermute, the stakes are high. The firm, one of the largest crypto market makers globally with roughly $10 million in daily trading volume, is expanding its U.S. footprint, and growing its New York team.

Hammond said that reflects a broader industry commitment to the U.S. market, particularly under what firms see as a more favorable regulatory environment. “Wintermute has expanded operations since the election by establishing a U.S. office in NYC and we have been actively hiring,” he added.

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That makes the outcome of the Clarity Act all the more consequential. While Hammond sees “light at the end of the tunnel,” he emphasized that passage in 2026 will require breakthroughs that have so far proved elusive.

For now, 30% remains his number, and a reminder that progress in Washington does not always translate into results.

Read more: Bitcoin is stuck in a rut but JPMorgan says new legislation could be the ultimate spark

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AI hiring claims face test as US job growth stays modest

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Bitcoin slips below $70K as US jobs shock reignites Fed Cut bets

The US labor market added 178,000 jobs in March, according to the Bureau of Labor Statistics. 

Summary

  • March job growth stayed modest while tech hiring remained weak and entry-level roles kept shrinking.
  • AI use rose in offices, but many workers reported rework, frustration, and lower trust.
  • Executives saw gains from AI tools, while staff faced errors and extra checks daily.

The data showed limited change from the prior month, even as companies kept talking about AI-led growth and better workplace efficiency.

That gap has kept attention on whether AI is lifting hiring and output as promised. Recent labor, workplace, and industry reports show a more mixed picture, especially in tech and entry-level roles.

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Most job growth in March came from healthcare, construction, transportation and warehousing, and social assistance. Healthcare added 76,000 jobs, while construction gained 26,000 and transportation and warehousing added 21,000.

The BLS data did not show the same strength in tech-linked areas. Computing infrastructure providers and web search portals showed little movement, while computer systems design and related services lost 13,000 jobs during the month.

That pattern stands in contrast to public claims that tech hiring is recovering. Marc Andreessen said fears about AI-led job losses were overblown and shared data showing more job openings at tech firms.

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But openings do not always lead to hiring. The March labor figures showed that the strongest hiring came from sectors outside core tech, while related digital services stayed flat or moved lower.

A recent Goldman Sachs report, cited by Fortune, said AI cut about 16,000 jobs per month over the past year. At the same time, a 2025 SignalFire study said new graduate hiring had dropped 50% from levels seen before the COVID-19 pandemic.

SignalFire said, “The door to tech once swung wide open for new grads. Today, it’s barely cracked.” The report linked that shift to smaller funding rounds, leaner teams, fewer graduate programs, and rising AI use.

Goldman Sachs also warned that workers pushed out by technology often move into more routine jobs. The report said this shift can reduce the value of their existing skills and weaken labor outcomes for years.

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That concern has widened the debate around AI and employment. While some leaders still expect long-term gains, recent data has kept attention on current hiring patterns and who bears the cost of the change.

Worker experience does not match executive optimism

Executives continue to report strong support for AI tools. Harvard Business Review said 80% of leaders use AI weekly, while 74% reported positive returns from early deployments.

Workers reported a different experience. Mercer said 43% of workers found their jobs more frustrating, while Workday said nearly four hours are lost fixing AI output for every 10 hours of claimed efficiency gains.

Harvard Business Review also pointed to “workslop,” described as content that looks polished but lacks substance. Researchers said 41% of workers had seen this kind of output, with each case adding almost two hours of rework.

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Workday said only 14% of respondents “consistently achieve net-positive outcomes from AI use.” That result suggests many workplaces are still dealing with errors, extra review, and weak trust in outputs.

OpenAI warns policy may lag behind change

The divide between executive use and daily staff experience may come from how teams use the tools. Harvard Business Review said senior leaders often apply AI to strategy, drafting, and synthesis, where the systems tend to perform better.

For routine operations that need steady accuracy, results appear less reliable. Brian Solis of ServiceNow called this burden an “AI tax,” which he described as “More checking. More rework. More anxiety.”

OpenAI has also acknowledged that AI is changing employment. Its policy ideas included broader healthcare coverage, retirement savings support, and a new industrial agenda.

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The company said its proposals are early and meant to begin discussion. It also warned, “Unless policy keeps pace with technological change, the institutions and safety nets needed to navigate this transition could fall behind.”

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Top Quantum Computing Stocks for 2026: IonQ, IBM, and Microsoft Lead the Charge

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IONQ Stock Card

Key Highlights

  • IonQ achieved a groundbreaking 99.99% fidelity world record and targets millions of qubits by 2030.
  • IBM earned a “Perfect 10” Smart Score rating on TipRanks with Moderate Buy consensus and analysts projecting 40.49% upside.
  • Microsoft’s Majorana 1 chip powers chemistry research applications and carries a Strong Buy rating with 56.62% potential upside.
  • Alphabet’s Google released research suggesting blockchain encryption could be compromised by quantum algorithms as early as 2029.
  • Industry analysts forecast the quantum computing sector will surge from $1.42 billion in 2024 to $4.24 billion by 2030.

Quantum computing has transitioned from theoretical research into tangible commercial applications at an accelerating pace. For investors monitoring this emerging sector, three companies emerge as particularly compelling: IonQ, IBM, and Microsoft.

The quantum computing industry reached a valuation of $1.42 billion in 2024. Market researchers anticipate this figure will climb to $4.24 billion by the decade’s end. Such explosive expansion is attracting enterprise clients, lucrative government partnerships, and substantial capital investments.

IonQ: Prioritizing Precision Over Speed

IonQ has established itself as the premier pure-play quantum computing enterprise. The company’s technology recently achieved an unprecedented 99.99% fidelity rating in industry-standard benchmarking tests—a global achievement.


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IonQ, Inc., IONQ

Precision represents the fundamental obstacle preventing quantum computing’s mainstream adoption. Systems plagued by frequent computational errors cannot deliver reliable results for practical applications.

IonQ’s approach centers on trapped ion technology. This methodology prioritizes exceptional accuracy over raw processing velocity, contrasting sharply with the superconducting architectures favored by competitors.

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The organization’s 2026 roadmap includes deploying a 256-qubit architecture. Looking further ahead, IonQ aims to construct million-qubit systems by 2030. Successfully achieving these milestones while maintaining current accuracy standards could position the company as dominant in precision-dependent sectors.

IonQ’s quantum systems are accessible through partnerships with Amazon Web Services, Microsoft Azure, and Google Cloud. The company currently commands approximately $11 billion in market capitalization.

IBM: Bridging Quantum and Traditional Computing

IBM has charted a distinctive strategic course. Instead of solely pursuing qubit quantity, the tech giant emphasizes integrating quantum capabilities into established enterprise infrastructure.


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International Business Machines Corporation, IBM

IBM’s development strategy centers on hybrid architectures where conventional CPUs, GPUs, and quantum processors operate cohesively. Industry experts consider this integration model the most viable pathway toward immediate commercial viability.

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TipRanks analysts awarded IBM the platform’s maximum Smart Score of 10 out of 10. The stock maintains a Moderate Buy consensus rating, with Wall Street projecting 40.49% appreciation potential.

IBM leverages its extensive enterprise computing heritage and established client relationships, providing immediate market access for quantum services. The company’s development pipeline emphasizes enhanced qubit coherence and sophisticated error correction protocols.

Microsoft: Strategic Innovation with Transformative Potential

Microsoft has maintained a relatively understated public profile regarding quantum achievements compared to rivals like Google or IonQ. Nevertheless, its Majorana 1 quantum processor is delivering measurable outcomes.


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Microsoft Corporation, MSFT

The processor currently facilitates advanced chemistry research, enabling quantum simulations of intricate molecular behaviors that exceed classical computing capabilities. CEO Satya Nadella has characterized quantum technology as the forthcoming catalyst for cloud computing evolution.

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Microsoft’s research concentrates on topological qubit architectures—a forward-looking methodology promising superior stability compared to existing quantum systems. The company’s Azure Quantum platform seamlessly embeds quantum capabilities into corporate computing environments.

Wall Street analysts assign Microsoft a Strong Buy recommendation with 56.62% upside potential. The stock holds a Smart Score of eight out of ten on TipRanks.

Alphabet’s Google division released 2025 research demonstrating an algorithm potentially capable of compromising contemporary blockchain encryption protocols in minutes—possibly operational by 2029. This revelation emphasizes the remarkable velocity of quantum computing advancement.

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AI’s Impact on Employment Clashes With C-suite Optimism

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AI’s Impact on Employment Clashes With C-suite Optimism

In March, the US jobs market recorded 178,000 new jobs, marking little change from the month before, according to the Bureau of Labor Statistics. 

The anemic growth in job listings comes amid volatile policy swings from the White House, increased energy prices due to the US and Israel’s war with Iran and, according to recent research, AI disruptions to the labor market. 

Proponents of AI and large language models have claimed that the tech will bring about an economic boom, thanks to the promise of efficiency breakthroughs. 

But as AI becomes more integrated into daily business operations, there is a widening gulf between that promise of growth and efficiency, and what is actually happening. 

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AI dampens employment growth

On March 6, venture capitalist and Netscape co-founder Marc Andreessen said on X that fears about AI job displacement were overblown. 

Source: Marc Andreessen

He also posted an article from Business Insider stating that, at least in tech, job openings are on the rise. Citing data from TrueUp, a tech jobs tracker, Business Insider said that job openings at tech companies have doubled to 67,000 since 2023.  

But openings don’t necessarily translate to hiring. According to the Bureau of Labor Statistics, most employment growth in March did not happen in the tech industry. Of the 178,000 new jobs added in March, healthcare employed 76,000, construction grew by 26,000, transportation and warehousing added 21,000 and employment in social assistance increased by 14,000.  

While the report doesn’t have a single section tracking the tech industry, related services like computing infrastructure providers and web search portals saw a 1,500 job decrease, or almost no change, respectively. Computer systems design and related services lost 13,000 jobs.

Related: Jack Dorsey’s Block to cut 4,000 jobs in AI-driven restructuring

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AI has actually axed 16,000 jobs per month over the past year, according to a recent report from Goldman Sachs, as cited by Fortune. In particular, AI has led to a collapse in hiring for entry-level roles. A 2025 study from SignalFire found that new grad hiring had dropped 50% compared to pre-COVID-19 pandemic levels. 

Source: SignalFire

“The door to tech once swung wide open for new grads. Today, it’s barely cracked. The industry’s obsession with hiring bright-eyed grads right out of college is colliding with new realities: smaller funding rounds, shrinking teams, fewer new grad programs, and the rise of AI,” the SignalFire study stated. 

This disruption could create ripples far into the future. According to Goldman Sachs, “AI-driven displacement could impose lasting costs on affected workers, worsening labor market outcomes for several years.”

“A key mechanism behind these worse outcomes is occupational downgrading. Workers displaced by technology are more likely to move into more routine occupations requiring fewer analytical and interpersonal skills, likely because the same technological shifts that eliminated their positions also eroded the value of their existing skills,” they continued

These job losses are justified by the theory that AI will, at the very least, make workplaces more productive. But even that isn’t a given.

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Reality of AI use clashes with C-suite expectations

Executives are still overwhelmingly supportive of AI. According to Harvard Business Review, 80% of leaders report weekly use of AI, with 74% reporting positive returns on early deployments. 

But workers don’t feel the same. A study from HR consulting firm Mercer found that, for 43% of workers, their job is more frustrating. 

One major issue is the number of mistakes churned out by generative AI. “For every 10 hours of efficiency gained through AI, nearly four hours are lost to fixing its output,” a Workday report stated. 

AI can also be used to offload labor onto coworkers in what researchers at the Harvard Business Review have called “workslop” i.e., “content that appears polished but lacks real substance, offloading cognitive labor onto coworkers.”

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They said that “41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and collaboration issues.”

According to Workday, only 14% of respondents to their survey said they “consistently achieve net-positive outcomes from AI use.”

Part of the gulf between executives’ understanding of AI and the reality at the productive level may be explained by the technology itself. 

Per the Harvard Business Review, “Senior leaders tend to use AI for high-level synthesis, strategic drafting, and decision support, tasks where the technology performs well, so the current capabilities tend to benefit their work.”

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For messier day-to-day operations like “workflows built over years, teams with uneven technical comfort, output that has to be consistently right, not just fast,” it doesn’t work so well. 

“When the tool works, both groups understand and reap the benefits. When it fails, typically only one of them has to cope with the aftermath.”

Many still don’t think that AI can handle complex tasks. Source: MIT

Brian Solis, the head of global innovation at enterprise AI firm ServiceNow, said that this divide has created an “AI tax,” i.e., “More checking. More rework. More anxiety. Faster pace. AI slop. Less trust.” 

Andreessen may not believe that the AI job-cut narratives are real, but OpenAI does. The AI company has acknowledged the impact the technology has on employment, and has even released a series of policy proposals to address it.

The list contains ideas that are “intentionally early and exploratory” that serve as a “a starting point for discussion that we invite others to build on.” It includes proposals to expand healthcare coverage, retirement savings and setting a new industrial policy agenda. 

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Far from Andreessen’s optimism, OpenAI’s proposal included a warning: “Unless policy keeps pace with technological change, the institutions and safety nets needed to navigate this transition could fall behind.”

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