Modern artificial intelligence-powered robots are impressive in their capabilities, but are still years away from replacing humans as they can’t yet adapt to changing conditions, researchers say. 

Last month, AI robotics company Figure showcased its humanoid robots performing basic tasks, such as cleaning a room, but a series of robots working for nine days straight sorting packages sparked conversation about how soon robots could replace jobs. 

Oliver Obst, an associate professor of robotics at the Australia based University of New South Wales, told Cointelegraph that repetitive jobs such as physical work in structured environments are currently most at risk of being replaced by robots, while administrative and document-processing tasks could be replaced by AI.

There has been growing concern that AI and robots will replace people in jobs as technology advances. A report in May from workforce consulting firm Challenger, Gray and Christmas found that US companies have laid off an estimated 49,135 people in 2026 due to AI.

A group of Figure’s robots worked for nine days straight sorting packages. Source: Figure 

However, Obst said that humanoid robots are unlikely to see a mass rollout soon because they don’t appear to be more efficient or less error-prone than current robotic manufacturing methods.

“Even in relatively structured settings, they still face problems with reliability, speed, safety, cost, and recovery from unexpected situations,” he said. “The harder the environment is to control, the harder the robotics problem becomes. Most human jobs involve more variation and more judgment than the package-sorting demonstration.”

“I would not say we are at the point of mass replacement by humanoid robots. We are much closer to the selective automation of some tasks. AI software is moving faster and is already affecting some forms of information work, but physical robots still have a much harder problem to solve.”

In another video in May, a human worker managed to sort more packages compared to a team of Figure’s robots, which swapped out when needing a recharge. Figure CEO Brett Adock said it would be the last time “a human will ever win.”

Source: Brett Adock

People still better than bots in some areas 

Markus Levin, co-founder of decentralized data network XYO, said AI models and automation software can perform repetitive tasks with far greater consistency and endurance than humans; however, robots still require charging, maintenance and supervision.

A report in September from the International Federation of Robotics found that global demand for factory robots has doubled over the last decade, with warehouses and logistics among the fastest-growing areas of adoption.

“I believe broad human replacement is still likely years away,” Levin added, “Reliability, safety, regulation, infrastructure costs, and trust remain major barriers to full-scale deployment across society. The challenge is no longer simply making machines capable of acting but ensuring they can operate safely and reliably as they take on greater autonomy.”

Dr Francisco Cruz Naranjo, a senior lecturer at the University of New South Wales with a PhD in robotics, said the efficiency of robots compared to people depends heavily on the activity and the environment.

Related: ‘Developed ecosystem’ based on crypto has sprung up for AI agents: Report

“Robots are much better at repetitive tasks without the need for constant pauses, as showcased in the Figure livestream. However, in highly dynamic environments, robots still struggle to quickly adapt to changing conditions,” he said.

“Humans, in this case, are much better. This is precisely why robots at the moment are highly efficient in controlled environments, such as factories, but they have not yet succeeded widely in home settings.”

Naranjo said repetitive jobs performed in a less static setting are at risk of being replaced by robots, but it will depend on how quickly research advances and how quickly society adapts in areas like making spaces robot-friendly, which is likely years away.

Robots in society could be beneficial 

Naranjo and Obst said that a mass rollout of robots in the workforce could be of some benefit, such as improving work-life balance, increasing the workforce in areas with shortages, and addressing dangerous environments that are too risky for humans.

“The social question is harder. If robots make dangerous work cheaper in human terms, that can be good. But it can also have unintended consequences. For example, keeping humans out of harm’s way in military operations may save lives, but it could also lower the perceived cost of conflict,” Obst said. 

“Hypothetically, if we became very successful at automating almost all work, then society would need to rethink economies that are currently built around individual wages and employment.”

Magazine: Korea’s first memecoin rug-pull case, China’s crypto rules review: Asia Express

TapTools, a real-time analytics platform focused on Cardano, is winding down after a wave of leadership changes, underscoring the fragility of niche tooling in a bear‑market ecosystem.

In a post on X, TapTools said it would begin winding down over the next two weeks after its fifth top-level executive departure. The company previously confirmed the exits of two co-founders, the chief operating officer and the chief technology officer earlier this year. The platform’s backend developer—who had been elevated to CTO to shepherd a shift toward more sustainable product delivery—also left, leaving a critical repository of knowledge that cannot be replaced overnight.

Launched in 2022, TapTools grew to become one of Cardano’s most widely used tools for tracking token prices, DeFi activity, and discovering new projects. Its closure comes as JPG.Store, a Cardano-based NFT marketplace, permanently shut down on May 23. The wind-down also intersects with governance and funding frictions within Cardano’s ecosystem, including the Cardano Foundation’s decision to cancel its annual conference after a revised funding proposal to use treasury tokens was rejected. TapTools cited the economics of running the platform as a core factor, saying infrastructure, development, and support costs are real and operate at scale.

Infrastructure costs are real. Development costs are real. Support costs are real. Operating a platform that serves the ecosystem at scale is expensive.

TapTools said it remains open to acquisition or external funding as a possible route to continue operations, but the immediate plan is to wind down.

Key takeaways

• TapTools will wind down over the next two weeks after its fifth top-level executive departure, adding to leadership instability within Cardano-focused tooling.
• The exodus includes two co-founders, the chief operating officer, and the chief technology officer; the backend developer who became CTO also exited, leaving a critical knowledge gap.
• The company cites the real costs of infrastructure, development, and support as a core reason for the wind-down, arguing that operating at scale is expensive.
• The decision comes amid broader ecosystem shifts, including JPG.Store’s shutdown and the Cardano Foundation’s conference cancellation following governance decisions on treasury funding.

Wind-down and ecosystem context

In its statement, TapTools framed the move as a consequence of ongoing leadership churn and the difficulty of preserving critical institutional knowledge required to run a Cardano analytics service responsibly. The platform described the departures as part of a broader pattern where institutions servicing Cardano’s ecosystem can struggle to maintain continuity without stable leadership and sustained funding.

The episode sits alongside other signals in Cardano’s ecosystem. The NFT marketplace JPG.Store shut down on May 23, echoing a trend of leaner operations in Cardano-native ventures. On governance, the Cardano Foundation announced the cancellation of its annual conference after governance decided against funding the event with treasury tokens, underscoring the friction between ambition and available funding mechanisms in the ecosystem.

TapTools’ leadership transition and wind-down are framed as a cost equation as much as a strategic pivot. The company emphasized that maintaining an analytics platform that serves the ecosystem at scale entails continuing investments in infrastructure, product development, and user support—costs that become hard to justify if revenue or funding is uncertain.

Broader reflections from Cardano’s founder and what readers should monitor

Cardano’s founder, Charles Hoskinson, weighed in via X, saying he anticipated that many protocols could fail under the current bear market and that he once proposed an index to help bail out struggling projects. The plan, he said, did not move forward, and he suggested governance could have helped some projects but chose not to act. These remarks frame TapTools’ wind-down as part of a wider question about how the Cardano ecosystem deploys funding and governance tools to support builders during downturns.

For investors and builders, the episode reinforces that even widely used, respected tools are susceptible to leadership gaps and funding constraints in a bear market. It also highlights the importance of robust, adaptable funding mechanisms and governance processes that can help prevent meaningful platforms from collapsing when cycles turn negative.

Looking forward, watchers should track whether TapTools and other Cardano-native services emerge from wind-downs through acquisitions, new funding rounds, or partnerships, and how governance policy evolves to support ongoing, sustainable operations in the ecosystem.

As the Cardano ecosystem recalibrates, all eyes will be on whether governance reforms and funding mechanisms can better shield essential tooling from bear-market cycles and leadership turnover, shaping which projects endure and which recede.

TLDR

• Palo Alto Networks shares rose 10% after the company beat fiscal third-quarter estimates.
• Revenue reached $3.00 billion, above Wall Street’s $2.94 billion expectation.
• Adjusted earnings came in at 85 cents per share, beating the 80-cent estimate.
• Palo Alto raised its fourth-quarter and full-year revenue guidance after the earnings beat.
• The company’s AI-focused acquisitions support its push into enterprise and agent security.

Palo Alto Networks shares rose 10% after the company beat Wall Street’s fiscal third-quarter estimates. The cybersecurity firm reported stronger revenue and adjusted earnings as AI-related threats lifted demand for security tools. The company also issued a stronger fourth-quarter outlook and raised its full-year revenue forecast.

Palo Alto Beats Wall Street Estimates

Palo Alto reported adjusted earnings of 85 cents per share for the fiscal third quarter. Analysts tracked by LSEG had expected adjusted earnings of 80 cents per share. Revenue reached $3.00 billion, topping the $2.94 billion estimate. The company recorded 31% revenue growth from the same period last year.

The quarter included $388 million from the CyberArk and Chronosphere acquisitions. These additions helped expand Palo Alto’s reported revenue base during the period. Palo Alto also reported a net loss of $177 million. That compares with the net income of $262 million in the year-earlier quarter.

The loss came to 22 cents per share under standard accounting. A year earlier, Palo Alto earned 37 cents per share. Shares rose 10% after the report as investors reacted to the earnings beat. The move followed weaker guidance in February that had lowered expectations.

Stronger Outlook Follows Rising AI Security Demand

Palo Alto issued fourth-quarter revenue guidance above Wall Street expectations. The company expects revenue between $3.35 billion and $3.36 billion. Analysts had expected fourth-quarter revenue of $3.28 billion. Palo Alto also lifted its full-year revenue forecast after the third-quarter beat.

The company now expects full-year revenue between $11.42 billion and $11.43 billion. The updated range came as AI-related security needs continued to support demand. CEO Nikesh Arora linked the demand environment to new AI threats. “The latest advancements at the AI frontier have increased the level of urgency around cybersecurity,” Arora stated.

He added that AI had reshaped the cybersecurity industry’s direction for the coming years. The company has also leaned into acquisitions to strengthen its product suite. Palo Alto shares have climbed more than 60% this year. The stock has gained over 80% during the current quarter.

Acquisitions Expand Palo Alto’s AI Security Push

As it was reported by Blockonomi, analysts project quarterly sales of $2.9 billion. They also expect adjusted earnings of 80 cents per share. Those projections reflect acquisition expenses and dilution from the CyberArk transaction. The final results came above those estimates on both revenue and adjusted earnings.

Palo Alto holds a market capitalization near $245 billion. Its 50-day moving average stands at $195.20, while its 200-day average stands at $184.31. The company has completed five AI-focused acquisitions over the past twelve months. The largest deal involved CyberArk, an identity security specialist, bought for about $25 billion.

CyberArk supports Palo Alto’s push into protecting AI agents inside company networks. These agents need permissions across email, documents, browsers, and other enterprise systems. Those permissions can create access risks without strong identity controls. Prompt injection attacks can also target AI systems connected to workplace tools.

Palo Alto also acquired KOI Security, Chronosphere, and Protect AI. The company also joined Anthropic’s Project Glasswing cybersecurity initiative. Anthropic opened its Mythos model testing program to 150 more partners on Tuesday. Palo Alto joined Project Glasswing as an early participant.

Bitcoin has drawn a new valuation argument from Bitwise, as rising sovereign debt pressures keep bond markets under strain and strengthen the case for BTC as a macro hedge.

Bitwise said in a new report that deeper investor concern over government debt could widen Bitcoin’s perceived undervaluation. The asset manager linked the argument to stress in global bond markets, where governments and companies face a much heavier borrowing calendar in 2026.

Bitwise links Bitcoin case to debt pressure

According to Bitwise, the OECD expects public and corporate borrowers to raise about $29 trillion in 2026. The estimate is 17% higher than 2024 levels and nearly twice the amount raised a decade earlier.

The report added that about 78% of OECD governments’ borrowing will go toward refinancing existing debt rather than funding new spending. Bitwise said this refinancing burden may raise investor concerns about sovereign balance sheets if yields remain elevated.

In that setting, Bitwise said Bitcoin could attract more attention from investors looking for assets outside government credit systems. The firm did not present the view as a direct price forecast, but it said the macro setup could improve Bitcoin’s hedge narrative.

Japan remains a key bond market test

Japan received special attention in the Bitwise report because of its high debt load and rising bond yields. Bitwise noted that Japan’s public debt stands at nearly 230% of GDP, placing it among the highest debt burdens of major economies.

The firm said Japan’s 10-year government bond yield recently climbed to 2.78%, while its 30-year yield reached a record high. By Tuesday, Bitwise noted that the 10-year Japanese yield stood at 2.66%.

At the same time, Japanese investors hold around $1.2 trillion in US Treasurys, according to the report. Bitwise said higher yields at home now make foreign bonds less attractive after currency hedging costs.

The firm compared Japan’s 10-year yield of 2.66% with the 2.19% yield available on yen-hedged 10-year US Treasurys. Bitwise said this gap could encourage Japanese capital to return to domestic bonds.

US yields add to sovereign risk concerns

The report said the pressure is not limited to Japan. Bitwise noted that US 30-year Treasury yields reached 5.11% on May 11, the highest level since 2007.

Bitwise also cited sovereign risk premiums measured through 10-year swap spreads. The firm said those premiums have risen to their highest levels since the European debt crisis of 2011 and 2012.

While Bitwise said tighter financial conditions may weigh on Bitcoin in the short run, it also said a serious disruption in the bond market could force central banks to provide liquidity. Under that scenario, the firm said Bitcoin could benefit if investors expect fiat liquidity to rise again.

Bitcoin fair value model reaches $224,000

Bitwise cited investor Greg Foss’s sovereign default risk model, which values Bitcoin near $224,000 if it gains wider use as a hedge against government credit risk. The firm stressed that this figure is theoretical and not a formal price target.

The report also said Bitcoin’s path will depend partly on real interest rates, which Bitwise calculated as the Fed Funds rate minus US CPI inflation. Bitwise said Bitcoin performed well during the 2021 bull market as real rates fell, while the 2022 bear market coincided with rising real rates amid aggressive Federal Reserve tightening.

Meanwhile, Bitcoin researcher Sminston said BTC could trade between $90,000 and $255,000 by the end of 2026. Sminston based the estimate on the Bitcoin Decay Channel, a logarithmic model that tracks past cycle tops and bottoms.

The crypto sell-off is worsening as stock markets continue to inch higher every day.

Bitcoin BTC$66,351.65 plunged to a low of $65,708 in Asian morning trading on Wednesday, down 6.4% in 24 hours and 12.3% on the week, as a broad crypto market sell-off accelerated overnight against the sharpest possible backdrop of global equity strength.

Ether (ETH) broke below $1,900 to $1,839, marking a 7.9% drop in 24 hours and lifting the second-largest cryptocurrency’s weekly decline to 11.1%. Solana’s SOL fell 9.0% to $73.25, BNB lost 7.8% to $636, DOGE$0.09236 slid 8.3% to $0.0921 and Tron’s TRX shed 3.4% to $0.3297, per CoinDesk data.

BTC traded near $66,280 by Wednesday morning after touching the $65,708 24-hour low, with the range stretching $5,200 from the $70,907 high.

Global stocks set fresh all-time highs as the AI trade intensified, with the Philadelphia Semiconductor Index rallying almost 6% to a record on Tuesday and Tokyo Electron and Taiwan Semiconductor Manufacturing both reaching new peaks, Bloomberg reported.

The MSCI All Country World Index set a fresh all-time high on the AI rally that has dominated stocks all year.

SpaceX was reported to be seeking $135 a share for a $75 billion initial public offering, while S&P 500 and Nasdaq 100 futures held little changed near record levels. South Korean markets were closed for a holiday.

The crypto sell-off compounds a week of bearish news, starting with Strategy’s (MSTR) first publicized bitcoin sale on Monday, an ongoing record spot bitcoin ETF outflow streak through Tuesday that has crossed $3.2 billion, Mt. Gox’s $739 million transfer to a new wallet on Tuesday, and stalled U.S.-Iran ceasefire negotiations that have kept Brent crude rising for a third straight day on fresh Middle East fighting.

Hyperliquid’s HYPE remained the lone green outlier in the top 10 by market value, holding a 19.9% weekly gain at $71.98 despite a 3.1% decline in the past 24 hours.

BTC’s $65,000 level is the immediate technical anchor. A break below brings $60,000 into focus, while a hold opens the door to a relief bounce as overleveraged positioning gets flushed.

TLDR

• The EU pushed bidding for its AI gigafactory project from May to July.
• The plan targets five AI data centers, each with one gigawatt of capacity.
• Early interest has dropped from about 70 companies to roughly 10 expected bidders.
• Only two of the five planned centers can receive funding before 2028.
• SoftBank’s France data center plan is larger than the full EU gigafactory program.

Europe’s plan to build large AI data centers has run into delays before bidding begins. The project aims to create five gigafactory sites with major chip capacity across the bloc. However, funding gaps and delayed rules have reduced early interest from potential bidders.

Bidding Delay Shrinks Early Interest in EU AI Sites

According to a report by Bloomberg, the European Union originally planned to open bidding for the AI gigafactory project in May. Officials have now pushed the process to July after repeated delays. The planned facilities would each carry one gigawatt of power capacity. Each site would also use about 100,000 advanced chips for AI workloads.

The European Commission has also delayed the publication of selection criteria several times. That delay has made planning harder for groups preparing bids. The project first attracted interest from about 70 companies across Europe. That field has now narrowed to roughly 10 groups expected to submit proposals.

The plan also limits submissions to a maximum of one bid per country. Several groups now face questions over timing, scale, and available subsidies. Maria Nowicka, a Brussels-based researcher at Interface, pointed to repeated delays. “I think I’ve lost count,” she said, referring to the shifting timeline.

Funding Structure Limits Early Rollout

The EU plan carries a total expected cost of €20 billion. Less than half of that amount would come from public funding. The European Union would provide €4.1 billion in direct subsidies. Host member states would match that amount under the proposed funding model.

Private investors would cover the remaining cost for the five planned centers. However, the funding schedule has created a problem for near-term delivery. Only two of the five centers can receive funding before 2028. The remaining sites depend on the EU’s next budget cycle.

Some partners are reconsidering bids if the project shrinks from its original design. People familiar with the matter said at least two groups may step back. The delayed funding structure places pressure on the program’s launch schedule. It also raises questions about how fast Europe can add AI infrastructure.

Global Data Center Spending Outpaces EU Plan

The EU program faces a large spending gap when compared with private AI infrastructure deals. SoftBank recently announced up to €75 billion for data centers in France. That France’s plan alone exceeds the full EU gigafactory program by more than three times. It also shows the scale of private capital entering AI infrastructure.

Meta is also raising $13 billion for one data center in Texas. That single project stands close to the EU’s total direct subsidy plan. US utilities plan to spend $1.4 trillion on grid infrastructure for AI by 2030. American hyperscalers are also investing hundreds of billions of dollars annually in data centers.

The EU’s €4.1 billion subsidy would spread across five countries. That makes each site dependent on national support and private capital. The Commission has not yet published final bidding criteria for the gigafactory sites. The delayed criteria remain the next factual step before formal bids begin.

Mastercard is expanding its settlement network to support regulated stablecoins, a move that could help bring blockchain-based payments deeper into the plumbing of the global financial system.

The company said Wednesday it plans to offer issuers and acquirers additional settlement options, including intraday, weekend and holiday settlement as well as on-chain settlement using regulated stablecoins. The new capabilities will operate alongside existing fiat settlement processes and are designed to give financial institutions more flexibility in managing liquidity.

Mastercard will initially support settlement using Circle’s USDC, Paxos-issued PYUSD, USDG and USDP, Ripple’s RLUSD and SoFiUSD. The stablecoins will be available across blockchain networks including Ethereum (ETH), Solana (SOL), Polygon (POL), Base, Arbitrum (ARB) and XRPL.

While the announcement may appear technical, it reflects a broader shift underway in financial markets. Traditionally, card transactions are authorized instantly, but settlement between banks and payment providers often occurs later in batches and is limited by banking hours. Mastercard’s new framework moves the network closer to an always-on model where value can be transferred and settled around the clock.

“The next phase of stablecoin adoption is about real-world utility, especially in settlement, where timing and liquidity matter most,” Raj Dhamodharan, Mastercard’s executive vice president of blockchain and digital assets, said in a statement.

The significance extends beyond payments. Stablecoins have long been used primarily for crypto trading, but banks, payment firms and asset managers are increasingly viewing them as settlement assets that can move money instantly across borders and outside traditional banking schedules.

The rollout comes as competition intensifies among payment networks and financial institutions seeking to modernize settlement infrastructure. Circle, Ripple, Paxos and other stablecoin issuers have increasingly positioned their products as alternatives to legacy correspondent banking rails for cross-border payments and treasury operations.

Several financial institutions, including Cross River, Lead Bank, CBW Bank, ARQ and Nuvei, are expected to be among the first participants supporting stablecoin settlement in the U.S. and Latin America.

Bitwise’s latest research frames Bitcoin (BTC) as potentially undersized against mounting sovereign-debt concerns. In a scenario where macro stress in global bond markets intensifies, the asset manager argues Bitcoin could fulfill a hedge-like role for investors seeking non-sovereign exposure, with a theoretical fair value around $224,000 per coin if broader adoption as a default-risk buffer materializes. Bitwise emphasizes that this figure reflects a theoretical model, not a price target.

The core impulse behind the thesis is a convergence of debt dynamics and bond-market fragility across major economies. Bitwise points to a brewing strain in the global bond complex, underscored by OECD projections that governments and corporates will need to borrow about $29 trillion in 2026—a 17% uptick versus 2024 and nearly double the borrowing level a decade earlier. A striking 78% of OECD government borrowing is expected to refinance existing debt, highlighting the heavy refinancing burden facing policymakers and markets.

Key takeaways

• Bitwise’s model suggests Bitcoin could be undervalued relative to its macro-hedge potential, with a theoretical fair value of around $224,000 should sovereign-default risk become a dominant driver of capital allocation.
• Global debt issuance and refinancing pressure—especially in major economies like Japan and the United States—could reinforce Bitcoin’s appeal as a shield against traditional macro risks.
• Japan remains a focal point in debt and yield dynamics, with 10-year yields around 2.78% and a 30-year yield at a record high, while public debt sits near 230% of GDP. Domestic yield dynamics may influence cross-border capital flows.
• U.S. and European bond markets show elevated long-end yields and stress indicators, with the U.S. 30-year Treasury yielding about 5.11% on May 11—the highest since 2007—while long-dated swap spreads have climbed to post-crisis peaks.
• Bitcoin’s near-term path may hinge on real yields—the inflation-adjusted rate—where falling real rates historically support BTC, even as the macro environment remains restrictive. A shift where inflation rises while policy rates hold could lower real yields and help BTC’s backdrop.

Macro debt and yield backdrop reshapes Bitcoin narrative

Bitwise’s assessment ties Bitcoin’s macro narrative to the broader stress in debt markets. The OECD’s borrowing projections underscore how financing needs in 2026 are ballooning, with the refinancing of existing debt constituting a substantial portion of new issuance. In this context, the report highlights Japan as a particular pressure point: its 10-year government bond yield hovered near 2.78% while the 30-year yield reached a new high, against a backdrop of public debt approaching 230% of GDP. The bloc of domestic investors holding U.S. Treasuries—reported at roughly $1.2 trillion—faces a balance of higher domestic yields that could tilt allocations back toward Japanese bonds if relative valuations shift. The comparison between Japan’s 10-year yield at about 2.66% and Yen-hedged 10-year U.S. Treasuries at roughly 2.19% illustrates how cross-border capital flow dynamics can influence bond markets and, by extension, alternative hedges like BTC.

Beyond Japan, the U.S. bond market has been sending signals of persistent stress. The 30-year Treasury yield touched about 5.11% on May 11, its highest level in years, while sovereign-risk premia—captured in long-dated swap spreads—have climbed to levels not seen since the European debt-crisis era of 2011–2012. Bitwise argues that such stress could initially weigh on risk assets; however, if central banks respond with liquidity injections to stabilize financial markets, a more pronounced rally in Bitcoin could emerge as a systemic hedge against ongoing macro fragility.

Bitcoin’s fair-value signal and macro hedging case

Central to Bitwise’s narrative is a valuation framework attributed to investor Greg Foss, which estimates Bitcoin’s fair value around $224,000 under a broader adoption scenario tied to hedge-demand against sovereign-default risk. The firm stresses that this is a theoretical construct—not a target price. It serves as a framework for thinking about Bitcoin’s potential role as a macro insurance asset should confidence in traditional debt markets erode.

Despite the longer-term upside the scenario implies, Bitwise notes that Bitcoin could remain range-bound in the near term. Elevated real yields and tighter financial conditions continue to crimp demand, constraining upside momentum even as macro stress scenarios could eventually tilt the risk-reward equation in BTC’s favor.

Real yields, cycles, and what to watch next

The Bitwise report emphasizes real yields—the policy rate minus inflation—as a key driver of Bitcoin’s macro backdrop. Historically, BTC has tended to perform better when real yields decline, since cash and high-quality bonds lose relative appeal in inflation-adjusted terms. The 2021 bull market coincided with falling real yields, while 2022’s drawdown aligned with rising real rates and aggressive monetary tightening. With inflation persistence a live variable, a scenario in which inflation rises but the Fed keeps policy rates intact could pressure real yields lower, potentially creating a more favorable environment for Bitcoin.

Separately, market watchers have spotlighted Bitcoin-price models that place long-run upside into the hundreds of thousands, even as near-term volatility remains elevated. In another framing, a logarithmic price model known as the Bitcoin Decay Channel has pointed to a broad end-2026 range between roughly $90,000 and $255,000, suggesting that BTC could rebound from current support levels while preserving a longer-term bullish thesis if macro and cycle dynamics align.

Analyst outlooks and what investors should monitor

The convergence of debt issuance pressures, central-bank liquidity responses, and evolving real-yield dynamics makes Bitcoin’s macro narrative increasingly relevant for investors seeking diversification and potential hedges. While Bitwise positions the $224,000 figure as a theoretical anchor, the broader implication is clear: a higher-beta asset could gain in importance if sovereign risk intensifies and traditional markets crack under the weight of refinancing needs and rising long-end yields.

As the year unfolds, readers should watch how central banks calibrate liquidity provision in response to bond-market stress, and how sovereign borrowing cycles unfold in major economies. If the stress deepens and liquidity stabilizers enact sizable interventions, Bitcoin could solidify its appeal as a non-sovereign store of value. Conversely, a less turbulent macro environment or a sharper normalization in real yields could keep BTC trading within established ranges.

For deeper context and related discussions, readers may explore Bitwise’s broader commentary, as well as market analyses that connect Bitcoin’s price trajectory to macro indicators and policy shifts. Related perspectives from industry researchers and commentators continue to frame BTC as a potential hedge in a world of swelling debt and diverging yield paths.

Readers should watch next for developments in debt issuance patterns, central-bank policy signals, and any shifts in cross-border capital flows that could reframe Bitcoin’s role in institutional portfolios. The evolving macro backdrop will likely continue to shape BTC’s longer-run narrative as a possible asymmetrical hedge against financial-system stress.