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Traders Turn to Bitcoin If UBS Bearish US Stocks View Proves True

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Crypto Breaking News

The market mood has shifted as cross-asset dynamics tighten around valuation, policy uncertainty, and the path of inflation. A respected equity research team recently downgraded US stocks to neutral, citing high price levels, a weaker dollar, and lingering policy risks that could cap upside in the near term. Against this backdrop, traders are weighing whether the growth-driven narrative in artificial intelligence and related infrastructure can sustain earnings momentum, while risk-off currents push alternative assets into sharper focus. The combination of these factors creates a delicate balance for investors seeking yield, capital preservation, and growth in a tightening macro regime.

Key takeaways

  • UBS’s global equity strategy team downgraded US equities to neutral, highlighting stretched valuations, dollar strength concerns, and policy headwinds that could limit upside.
  • With limited upside for the S&P 500, there is a possibility of capital rotating toward non-equity assets, a dynamic that could create space for crypto and other alternative stores of value if macro conditions deteriorate.
  • A fresh wave of inflation data intensified rate‑cut uncertainty, as the January producer price index rose 0.5%, contributing to a risk-off impulse that nudged government yields and equities lower in tandem.
  • The yield on the 10-year Treasury declined to 3.97% from around 4.21% just weeks earlier, signaling a shift toward more risk-averse positioning as traders reassess the trajectory of monetary policy.
  • While AI investment remains a tailwind for earnings, the UBS note cautions that AI-driven growth may not decouple the US equity market from broader macro and policy tensions, keeping a lid on broad risk appetite in the near term.

Tickers mentioned: $BTC, $TSLA

Sentiment: Neutral

Price impact: Negative. Bitcoin traded under important intraday resistance after inflation data, reflecting a risk-off impulse that pressed risk assets broadly.

Market context: The environment sits at the intersection of elevated equity valuations, a debate over rate paths, and rising interest in non-traditional asset classes as investors reassess risk premia in a high-valuation regime.

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Why it matters

The UBS downgrade to neutral underscores a broader question facing markets: can the US equity complex sustain elevated multiples amid policy ambiguities and a dollar that has shown episodic strength? The report points to asymmetric downside risks if policy moves introduce volatility in credit conditions or weigh on consumer and business spending. In that sense, the market narrative is bifurcated. On one side, corporate earnings in AI-enabled sectors may show resilience, but on the other, policy frictions, tariffs, and potential reforms could erode the optimism priced into equities.

Against this backdrop, investors are turning their attention to the so‑called rotation trade—the idea that capital could shift from richly valued equities toward other assets that offer hedging properties or different risk premia. In practice, that can mean more demand for fixed income, gold, or other non-traditional stores of value, and it leaves room for crypto to be considered as part of a diversified risk-off toolkit. The notion benefits from a mounting narrative that a variety of macro catalysts—rising inflation surprises, policy uncertainty, and the prospect of a more cautious stance from central banks—could reweight portfolios away from equities and into assets that historically behave differently in downturns.

The report also remarks on the size and structure of the US market, noting that even a sizable reallocation may not dramatically swing the broader risk landscape. The US market, with its outsized capitalization and deep liquidity, remains a dominant engine, but valuations in the US are increasingly stretched relative to global peers. UBS’s longer‑range target for the S&P 500 remains a key consideration for investors mapping risk budgets. In this framework, the relative attractiveness of international equities, commodities, and emerging-market exposure could rise if the US growth outlook deteriorates or if currency dynamics continue to shift in a way that compounds downside risk for US assets.

On the inflation front, the January PPI data added to the challenge of predicting monetary policy paths. A 0.5% month‑over‑month uptick intensified concerns about price pressures, complicating expectations for rapid rate cuts. Traders often interpret such surprises as signals that the Federal Reserve might maintain a higher-for-longer stance than priced into some market scenarios. The ripples extend beyond equities; higher inflation prints can alter risk premia across asset classes, including crypto, where liquidity conditions and hedging demand remain important determinants of price action in both the short and long term.

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The Treasury market has also shown a cautious tilt. The 10-year yield’s move down toward 3.97% reflected a flight to quality in times of uncertainty. When risk appetite wanes, investors gravitate toward safer, longer-duration assets, and the pullback in yields can support risk-off trades across a spectrum of markets. The interplay between yields, inflation data, and equity valuations continues to shape the liquidity environment in which crypto assets operate, underscoring why macro signals often drive cross-asset moves as investors reassess correlations and diversification benefits.

Within the broader crypto narrative, the possibility of increased institutional involvement—whether through strategic BTC reserves or ETF exposure—has long been cited as a potential catalyst for sentiment and liquidity. The UBS note does not hinge on a single outcome but acknowledges that capital could migrate toward non-equity assets as a form of hedge or ballast when stock markets look vulnerable. The dynamics are not deterministic, and the timing of any shift remains uncertain. Still, market participants increasingly weigh the conditional probability that the macro backdrop could align with a crypto‑positive regime—especially if new large holders step into the space or if instrument design enables easier access for institutional buyers.

As the debate about AI’s impact on productivity and earnings continues, the market remains cognizant that technology-driven drivers can influence multiple asset classes, sometimes in ways that are not perfectly correlated. Even in a scenario where AI spending sustains corporate profits, the degree to which this translates into a broad risk-on environment will depend on policy developments, inflation trajectories, and global economic momentum. The nuanced picture, therefore, is one of cautious optimism paired with prudent risk management—a stance that may favor assets offering diversification benefits, including those with distinct liquidity and return dynamics.

In practical terms, traders are watching whether new entrants—sovereign funds or large corporates—will disclose any BTC reserve commitments or equity-like exposure to crypto via ETF structures. The timing remains uncertain, but historical precedents show that when marquee players announce sizable crypto bets, market psychology can shift rapidly. Tesla (EXCHANGE: TSLA) has previously been cited as a bellwether in this regard, illustrating how a single high-profile position can alter risk perceptions and liquidity dynamics, even if such moves do not instantly reshape price trajectories. The implication for market structure is clear: if institutional appetite for crypto grows, liquidity can improve, correlations may shift, and price discovery could become more resilient to stock market downturns.

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Ultimately, the near-term narrative suggests that crypto will remain sensitive to the health of traditional risk assets. The absence of a decisive decoupling signal means that Bitcoin and other digital assets could still track broader market tides, especially in sessions dominated by inflation surprises, policy hints, or unexpected macro data. Yet, the longer-term picture remains open to revision as new players and new structures emerge, potentially altering the calculus for diversification, inflation hedging, and the role of crypto in a multi‑asset portfolio.

What to watch next

  • Monitor upcoming inflation and employment data for evolving rate‑cut expectations and policy signaling that could recalibrate risk appetite.
  • Watch for any announcements or filings related to strategic BTC reserves by major corporations or sovereign entities, including progress on the Missouri Bitcoin Strategic Reserve HB2080.
  • Track flows into spot Bitcoin ETFs and other crypto investment vehicles that could shift liquidity and price discovery dynamics.
  • Observe earnings commentary on AI infrastructure and related capital expenditure to gauge whether the sector can sustain earnings growth without amplifying macro risks.

Sources & verification

  • UBS global equity strategy note discussing US equities’ valuation, dollar dynamics, and policy risk (CNBC coverage referenced in the input).
  • U.S. Producer Price Index data for January showing a 0.5% month‑over‑month increase.
  • U.S. 10-year Treasury yield movements, with the yield dipping to 3.97% from a prior level around 4.21%.
  • Discussion of AI adoption’s potential impact on earnings and risk sentiment referenced to CNBC and related materials in the input.
  • Missouri Bitcoin Strategic Reserve HB2080 and related coverage in the input materials.

Market reaction and key details

Bitcoin (CRYPTO: BTC) traded in a risk-off framework after the latest inflation data reinforced uncertainty about the pace of monetary policy normalization. The move came as the broader market weighed a UBS downgrade of US equities to neutral—an assessment rooted in valuations, policy risk, and a less favorable macro backdrop. While this dynamic pushed a rethink of how capital may reallocate, it also underscored the complexity of predicting how crypto assets fit within a tightening cycle and a volatile macro mosaic. The path forward remains contingent on a constellation of factors, including central bank signals, fiscal policy developments, and the evolving appetite of large holders to commit capital to BTC or related crypto exposures.

The price action reflected a tug-of-war between resilience in certain technology-led earnings and the reality of a cautious macro environment that values liquidity and risk controls. As yields retreated and inflation surprises persisted, traders sought safer havens and diversified strategies. In this context, the potential for institutional involvement—whether through strategic BTC reserves or ETF exposure—keeps the dialogue alive about crypto’s role as a hedge or diversification asset. While such developments could alter sentiment, the near-term setup remains sensitive to the cadence of macro data releases and policy commentary, rather than a single catalyst alone.

In terms of market structure, the conversation around gold and other traditional stores of value continues to frame how investors think about risk allocation. With gold already commanding a roughly $36.5 trillion market capitalization and the tech behemoths aggregating around $24.2 trillion in value, the relative scale of Bitcoin—though substantial in its own right within the digital asset class—highlights the challenge of achieving parity with more established assets. Even a substantial upside for BTC would have to contend with the macro framework and the liquidity dynamics that shape how capital moves between risk-on and risk-off regimes. Still, the possibility of a broader rotation toward non-equity assets—should the S&P 500 struggle to upside—remains a plausible scenario for patient investors exploring hedges and diversification strategies, including those that could involve crypto exposures in a regulated, institutional-friendly format.

As the year unfolds, the market will likely hinge on a mix of data points, policy signals, and the willingness of large players to publicly disclose crypto-related exposures. The ongoing dialogue about regulatory clarity and the evolution of crypto infrastructure will ultimately influence how readily crypto assets participate in broad market rotations. In the meantime, traders and investors will continue to assess whether the current macro setup favors a more defensive posture and how any future developments could alter the balance between traditional assets and digital currencies.

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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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OCC unveils GENIUS Act rulebook for U.S. payment stablecoins

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OCC unveils GENIUS Act rulebook for U.S. payment stablecoins

OCC’s GENIUS Act rule drafts 100%‑reserved payment stablecoin regime, tightening oversight.

Summary

  • Draft rule covers full payment stablecoin lifecycle: issuance, reserves, supervision, and wind-down procedures.
  • Only authorized GENIUS-compliant issuers may serve U.S. users, with 1:1 reserve, capital, liquidity, audit, and custody standards.
  • OCC and NCUA gain direct authority over bank, credit union, and some foreign issuers, while BSA/OFAC rules follow in separate Treasury action.

The Office of the Comptroller of the Currency released draft regulations Wednesday outlining how payment stablecoins would be issued, backed, and supervised under federal oversight, according to the agency’s notice of proposed rulemaking.

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The OCC opened a 60-day public comment period to operationalize the GENIUS Act for stablecoin issuance, seeking feedback on the full lifecycle of a payment stablecoin from launch and reserve management to supervision and potential wind-down procedures.

The proposal implements the Guiding and Establishing National Innovation for U.S. Stablecoins Act, known as the GENIUS Act, which became effective in July and established the first federal stablecoin framework in the United States. The statute permits only authorized payment stablecoin issuers to issue payment stablecoins domestically and prohibits digital asset service providers from offering non-compliant stablecoins to U.S. users.

The draft regulations establish reserve asset standards requiring redemption at par, along with liquidity and risk controls, audits, supervisory examinations, and custody rules. The proposal outlines application pathways for new issuers, introduces capital and operational requirements, and updates portions of the OCC’s capital adequacy and enforcement framework.

The agency stated it would have regulatory or enforcement authority over certain permitted payment stablecoin issuers, including subsidiaries of national banks and federal savings associations, federally qualified issuers, and some state-qualified issuers. The draft extends oversight to foreign payment stablecoin issuers seeking access to American users.

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Bank Secrecy Act and sanctions requirements will be addressed separately in coordination with the Treasury Department, according to the notice.

Banking groups have raised concerns about potential deposit outflows to third-party yield products tied to stablecoins. OCC Chief Jonathan Gould stated that any material outflow would be visible and would not occur overnight, according to the agency. Gould noted that the requirement for 100% reserves to support one-to-one redemptions exceeds typical bank capital ratios. In an extreme scenario, the Federal Reserve could serve as an indirect backstop by supporting reserve assets stablecoins hold, including U.S. Treasuries and cash equivalents, according to the proposal.

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The moment AI agents stop assisting and start acting

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Dana Love

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial.

Is artificial intelligence going to steal my job? When skeptics first encountered early versions of ChatGPT along with generative photo and video tools, many dismissed the idea that AI could ever replace human workers. Today, the more relevant question is not whether AI will enter the workplace, but whether organizations are prepared for intelligent systems that increasingly operate alongside employees as active participants in daily operations. Today’s work environment emphasizes AI’s role across social platforms, productivity tools, and enterprise software, and the first wave of company-wide AI systems is already being deployed.

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Summary

  • AI is shifting from assistant to actor: The real change isn’t job replacement, but AI agents moving from suggesting tasks to executing them inside daily workflows.
  • Collaboration beats substitution: Research shows AI-enabled teams outperform AI-equipped ones — productivity gains come from integration, not delegation.
  • Entry roles evolve, not vanish: Routine tasks will be automated, but human value shifts toward oversight, judgment, and coordination alongside autonomous systems.

With that said, AI is not coming for your job, at least not permanently. Instead of replacing employees at entry-level positions, AI will become a colleague at work, acting as an assistant. In a worst-case scenario, entry-level to mid-level employees might experience temporary job displacement due to AI, with a 2025 Goldman Sachs report stating that unemployment would increase by half a percentage point. The bottom line, however, is that your job isn’t going anywhere yet. 

An introduction to your newest coworker 

To break this down, your new colleague is an AI agent, similar to any employee; they’re trained to master the job role, they make mistakes, ask for feedback, and require you to communicate to accelerate the potential of your team.  

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The autonomous digital worker can execute tasks based on the data and context it’s given, but this assistant isn’t made for every professional field. As the workplace enters its next technological transformational era, analysts continue to see a broad override in AI agents taking over human roles as a distant reality, yet professionals are not dismissing them completely. 

Assimilating to the new era of AI collaboration

If AI were to be widely adopted across certain industries, AI could displace 6-7 percent of the United States workforce. For the time being, however, AI will be rolled out on an assistant level, without completely overriding the responsibilities of entry to mid-level positions.

In addition, economists predict that agents will increase productivity across the professional landscape through a transitional movement in AI company culture that’s going from AI-equipped employees to AI-enabled ones. Research conducted by the Digital Data Design at Harvard found that the most innovative solutions came from AI-enabled teams as opposed to AI-equipped teams. Meaning that your AI agent isn’t just there to give you your next chunk of information, but instead, it’s actively aiding collaborative efforts with team members across the organization. 

Collaboration is reaching new heights, and myth is starting to become reality. According to The Guardian, specific AI systems are breaking the corporate ladder, hiring fewer people in creative fields, specifically at companies that have highly integrated AI into their day-to-day work. The hardest roles hit were junior roles. In other cases, data scientists are distressed by the sophistication of AI programmes, as some continue to find ways to disable oversight systems. The “AI takeover” can be a threat, but for now, it’s dependent on region and industry. 

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Jobs are not simply going to disappear. It means employees will be evaluated on how effective they will be alongside these new systems and how well they integrate them into their daily workflows. As for the next decade, it’s unclear whether the corporate world will introduce a new type of AI agent, one that may need a whole new introduction in itself to an organization. As these technologies continue to develop and become more advanced, employees will need to find new ways to train themselves to fit the AI agent’s standards.

Understanding where everyone’s roles land

The transition from human entry-level workers to AI agents does not mean removing the first rungs of the corporate ladder. Instead, low-level, routine tasks that junior and associate employees have traditionally handled will increasingly be managed in partnership with automated systems. Hiring for these roles will not disappear, but the nature of the work will change. Studies by McKinsey indicate that AI has already automated 44 percent of working hours in the United States and that by 2030, AI-driven automation could generate up to 2.8 trillion dollars in economic value.

These early systems represent the first generation of AI agents. They are fast, highly efficient, and increasingly capable of matching the requirements of many professional roles. For years, big technology companies have steadily integrated AI into every part of their platforms, and that trend has now reached a point where assistance is beginning to turn into action. When AI moves from suggesting what should be done to actually helping carry it out, the real challenge for organizations is not displacement, but how effectively people and intelligent systems learn to work together.

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Dana Love

Dana Love

Dana Love is a U.S. business executive and technology leader specializing in artificial intelligence, blockchain, and enterprise software. As CEO of PoobahAI and Chief Technology Officer of Andromeda Protocol (a Layer 1 Cosmos blockchain), Dana bridges cutting-edge web3 innovation with practical enterprise adoption. With over 33 years of technology leadership, Dana has led divisions of public companies, including GTE (now Verizon), Prosodie Interactive (now CapGemini), and ADC Telecom. He has co-founded five businesses with four successful exits, including Cisco Investments-backed Metacloud and Warburg Pincus-backed Radnet. Dana’s entrepreneurial journey and exit strategy expertise were featured as the November 2025 Finance World Magazine cover story. A native New Englander, Dana currently resides with his wife and their four children in Parker, Texas.

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US Job Cuts Surge to Highest Level Since Pandemic as AI Reshapes the Workforce

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Nexo Partners with Bakkt for US Crypto Exchange and Yield Programs

TLDR:

  • Over 1.17 million US job cuts were announced in the past year, the highest total recorded since the COVID-19 pandemic era.
  • The US government led all sectors with 317,000 cuts, followed by UPS at 78,000 and Amazon with 30,000 job reductions.
  • Companies openly state that AI tools allow smaller teams to handle the same workload, replacing $150K–$200K salary roles.
  • Analysts warn of a ghost economy where corporate output grows but household income and consumer participation steadily decline.

US job cuts have reached alarming levels not seen since the COVID-19 pandemic. Over 1.17 million job cuts were announced across the country in the past year.

Around 600,000 of those cuts came in the first two months of 2026 alone. Companies across multiple sectors openly cite artificial intelligence as a driving force.

This trend is unfolding against the weakest white-collar hiring market since 2008, raising concerns about broader economic stability.

Major Companies Lead a Wave of Workforce Reductions

The scale of recent layoffs spans both public and private sectors. The US government alone accounted for 317,000 cuts, the largest single contributor to the total. UPS followed with 78,000 job reductions, while Amazon announced cuts of 30,000 workers.

Other major corporations have also trimmed their workforces considerably. Intel cut 25,000 jobs, and Citigroup reduced staff by 20,000. Nissan matched that figure, while Microsoft announced 15,000 cuts.

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Market analyst account Bull Theory posted about the situation on social media platform X. The post noted that Verizon cut 13,000 jobs, Accenture removed 11,000, and Salesforce and Block each reduced headcount by 4,000. The figures paint a broad picture of workforce contraction across industries.

Companies are now openly stating that smaller teams can perform the same volume of work. This shift reflects how AI tools are replacing roles previously held by high-earning professionals. The pattern suggests a structural change rather than a temporary economic adjustment.

The Ghost Economy Risk and Long-Term Consumer Demand

The concern goes beyond job numbers alone. Higher-income workers earning between $150,000 and $200,000 annually drive a large portion of US consumer spending. When software replaces those roles, corporate margins rise but household income falls.

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There is also a secondary effect worth noting. The same companies cutting staff sell products and services to that same income group.

If AI-driven layoffs reduce household income at scale, demand across retail, fintech, travel, and enterprise services weakens over time.

Bull Theory’s post warned of what it called a “ghost economy,” where output grows but broad participation in that growth declines.

Short-term profitability may improve, yet the customer base supporting those profits gradually shrinks. This creates a tension between rising productivity and weakening consumer demand.

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Housing, autos, travel, subscriptions, and credit quality all become sensitive under these conditions. The labor market must absorb this transition before demand weakens at the economic core.

Without that absorption, the gap between corporate earnings and household financial health will continue to widen.

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US DOJ Seized $580M in Crypto from ‘Chinese Transnational Criminals‘

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China, Government, United States, Crimes, Department of Justice

The seizures and freezing over three months were conducted by the District of Columbia’s Scam Center Strike Force, established by US Attorney Jeanine Pirro in November.

Officials with the US Department of Justice reported “freezing, seizing, and forfeiting” more than $578 million worth of digital assets tied to criminal groups as part of a task force’s efforts targeting “Southeast Asian cryptocurrency-related fraud and scams.”

In a Thursday notice, the Justice Department said the frozen and seized crypto had been “stolen by Chinese transnational criminal organizations” using websites and social media platforms to target US residents. The actions were taken by the District of Columbia’s Scam Center Strike Force, established by former Fox News host, now US Attorney Jeanine Pirro in November. 

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“Seizures of cryptocurrency is one important part of the Scam Center Strike Force’s work,” said Pirro. “Through the legal process, my Office will seek to forfeit these funds and return them to victims to the maximum extent possible.”

China, Government, United States, Crimes, Department of Justice
Source: Jeanine Pirro

Pirro’s comments signaled that many of the funds would not be used to bolster the Strategic Bitcoin Reserve and digital asset stockpile established via executive order by US President Donald Trump in March 2025. According to data from BitcoinTreasuries.NET, US authorities may hold as much as 328,372 Bitcoin (BTC) through various criminal seizures, but the White House had not publicly commented on the stockpile’s size as of Friday.

Related: South Korea’s tax office leaks wallet seed and loses $4.8M in seized tokens

Crypto scams surged in 2025

According to blockchain analytics platform Chainalysis, the number of incidents involving impersonation scams tied to crypto rose by about 1,400% year over year in 2025. Many of the scams included pig butchering and investment schemes, with the average amount stolen through impersonation scams increasing by 600% over the same period.

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Some of the parties involved have gone to prison in the US. Earlier this month, a judge sentenced an individual to 20 years in prison for orchestrating a scam to steal more than $73 million from victims, many of whom were based in the US.

Magazine: Clarity Act risks repeat of Europe’s mistakes, crypto lawyer warns