This article was first published on The Bit Journal.

The web is on the brink of a global shift, a transition where decentralization, token-based incentives, remote work and blockchain infrastructure are redefining how millions of people work, collaborate and build their businesses.

A 2025 report from Web3.Career suggests that job postings in Web3 have shot up to over 80,000 across over 15,900 different companies ; a proof that this isn’t just a niche hobby anymore, it’s a rapidly growing professional domain.

However, with that growth comes challenges like coordinating remote teams across time zones, dealing with uncertain regulations, filling skills gaps and figuring out governance in these new decentralized organizations.

What Exactly is the Future of Work in Web3?

When the future of work in Web3 is being discussed, it involves how employment models, job roles, organization structures and labour market frameworks are adapting to the decentralized web; a domain that’s all about blockchain protocols, token economies, DAOs and remote, borderless collaboration.

It’s a world that’s very different from the traditional work where a single central entity controls hiring, pay and management.

In Web3, things are different, it entails self-sovereign identities, new incentive mechanisms (like token compensation) and organization models that may not have traditional hierarchies.

The shift affects both technical roles like smart contract engineers, blockchain architects and non-technical roles like community leads, token economists, remote governance specialists; and all sorts of other areas in between.

Web3 Workforce Trends and Job Market Data – What’s Happening Right Now

The labour market is already starting to reflect this transition to the future of work in Web3. Here are some key metrics from 2025:

According to Web3.Career Intelligence Report, more than 80 000 job postings from 15 900+ companies were logged, marking a growth phase in Web3 careers. 

The Metarficial report found that 53.39% of Web3 jobs are fully remote, while 39.45% of postings require no coding skills.

RecruitBlock reports that job postings for crypto-related roles increased significantly, driven by blockchain, DeFi, hybrid roles, and AI/Web3 intersections.

The CryptoRecruiters report indicates Web3 job openings surged nearly 300% from 2023 to 2025; highlighting a rapid expansion in demand.

These numbers show the future of work in Web3 is not speculative; it’s happening now. Organizations are hiring, roles are diversifying beyond coding and work models are global.

Web3 Work Opportunities

Global and Remote Talent Access: More than half of Web3 jobs are fully remote so professionals anywhere in the world can participate. This means individuals in emerging markets can participate and companies can tap into a larger talent pool.

Token-Based Compensation and Incentives: A notable feature of Web3 work is compensation through tokens or equity-like mechanisms. A RiseWorks report projected that this 2025, 75% of Web3 organizations would offer tokenized compensation. This aligns incentives differently to salaried employment and supports long-term stakeholder alignment.

Non-Technical Roles: While developer roles are important, almost 40% of job postings require no coding. Community management, legal/compliance, token economics, partnerships and remote operations roles are in high demand.

Emerging Hybrid Models and Skill Convergence: Web3 asks professionals to combine technical and non-technical skills. For example, “Web3 Systems Thinkers” must understand blockchain infrastructure and coordination frameworks at the same time.

New Career Pathways and Micro-Roles: Micro-tasking, governance participation, DAO roles and contributor networks are emerging forms of work. This helps transcend traditional organizational hierarchies and offers fluid career paths.

Web3 Work Challenges

Skills Gap and Learning Curve:While roles beyond coding exist, many still require deep knowledge of blockchain protocols, crypto economics and decentralized governance. Experts’ research notes the difficulty organizations face when trying to integrate Web-based strategies due to technical complexity and regulatory ambiguity.

Remote Coordination and Operational Friction: Operating fully remote or distributed teams across time zones and different legal jurisdictions; can increase coordination overhead and reduce operational clarity. For many Web3 teams, flat hierarchies and asynchronous communication pose management challenges.

Regulatory and Legal Uncertainty: Token compensation, DAOs and cross-border payroll raise complex regulatory and tax questions. For workers in Web3; this uncertainty may affect contract status; benefits and long-term security. The intersection of emerging Web3 careers and regulatory frameworks is a major bottleneck.

Job Market Competition and Role Saturation: While hiring is increasing; competition is fierce. A report listed 10,000 applicants for 28 positions in certain Web3 subspecialties.

Governance, Trust and Contributor Incentives: Web3 work relies on contributors being motivated by tokens; reputation or community participation. Without clear governance and incentives; contributor burnout, misalignment or exploitative models can happen. Tokenized labour needs to be designed carefully to prevent value leakage.

Skills and Roles in Web3 Work

Expert Analysis: Navigating the Web3 Career Path

According to Web3.Career Intelligence Report, 2025;

“Web3 has made significant strides in areas like hiring maturity, global opportunities and remote work structures, but whether we’ve entered a new phase of this work cycle is yet to be seen.” 

Organizations, from a practical standpoint, are going to have to figure out the future of work in Web3:

They’ll need to come up with clear ways to give contributors a stake; token incentives, reputation systems they like, rather than just rehashing old job titles.

They’ll need to focus on hiring hands with the right kinds of skills; that means network fluency, remote team experience and protocol literacy but not necessarily just being a great coder.

They’ll need to design frameworks that work with the Web3 way of doing things; asynchronous, borderless collaboration is just the way it is in Web3.

They’ll need to ensure transparency around governance and fairness so that who’s doing what and how tokens, roles and decision-making power are all aligned with making a long-term profit, can all be seen.

Overall, they’ll need to stay on top of regulatory changes by setting up compliant onboarding processes, paying workers properly and drawing up contributor contracts that take into account the evolving tax and securities laws.

In this light; the future of work in Web3 isn’t just about swapping out old jobs for new ones; it’s about completely redesigning the way value is created; shared out and coordinated.

And for professionals; success means being comfortable with the ambiguity, learning constantly and contributing in non-linear ways.

Conclusion

The Future of Work in Web3 goes way beyond just technology. It’s about reimagining how humans collaborate; create and earn in the digital space. As blockchain, AI and DAOs mature; they’re breaking down the old hierarchical structures and replacing them with more inclusive; merit-based systems.

Regulatory uncertainty; talent shortages and having uneven access to digital infrastructure are all still major obstacles to making Web3 workforces work.

Despite all this, the data shows that as more and more big companies and governments start experimenting with blockchain-based identity systems, payroll and ownership models, Web3 work structures are slowly but surely moving from the fringes into the mainstream.

So for professionals, the takeaway is clear; being good at smart contract development, AI-blockchain integration, token economics and decentralized governance will be needed for career growth over the next decade.

For businesses, using decentralized collaboration tools and transparent incentive systems is the essential to staying ahead in the coming “trustless economy”.

In short; the future of work in Web3 is already rolling out, one block at a time; one DAO at a time and one decentralized opportunity after another.

Glossary

Web3: next iteration of the internet built on blockchain; decentralization and token-based economics.

DAO (Decentralized Autonomous Organization): digital organization governed by token-holders through smart contracts; rather than a central management team.

Tokenomics: economic design of a token: supply, distribution; incentives and governance mechanisms.

Remote/Distributed Work: model where teams work from different geographical locations; rather than a fixed office.

Contributor Model: work structure where participants contribute tasks or value and are compensated via tokens; reputation or community governance rather than traditional salary alone.

Frequently Asked Questions About The Future of Work in Web3

What kind of jobs are there in Web3?

Web3 has technical roles (blockchain developers; smart-contract engineers); and non-technical positions (community managers, token economists, legal/compliance leads). Remote work and global hiring dominate the market.

Does one need to know how to code for Web3 jobs?

No. According to cohort data, around 39.45% of Web3 job postings require no coding skills, as contributor roles in community, operations and coordination are on the rise.

How does token-based compensation work in Web3?

Workers may receive tokens (equity-style) or incentives tied to protocol growth instead of fixed salary alone. Reports suggest up to 75% of Web3 organizations would have adopted tokenized compensation this 2025.

What are the biggest challenges for someone working in Web3?

Staying up to date with highly technical protocols, coordinating remote global teams across time zones, regulatory uncertainty and non-traditional career structures.

Read More: The Future of Work in Web3: Opportunities, Challenges, and What Comes Next">The Future of Work in Web3: Opportunities, Challenges, and What Comes Next

This article was first published on The Bit Journal.

The Solana Foundation has just initiated a public, data-driven debate with Ripple Labs on actual network usage. This blockchain activity debate revolves around which network, Solana (SOL) or XRP, is more active in real life?

According to recent reporting, Solana claims over 2.5 million daily active accounts vs 25,000 for XRPL, while transaction volumes and stablecoin transfers show similar huge differences.

Solana vs Ripple Challenge

The blockchain activity debate started when Vibhu (a Solana Foundation manager) publicly challenged Ripple execs to a live “facts-only” livestream on social platform X. He posted:

“You bring facts, I bring facts. Facts are important. Let the internet decide who wins.”

He followed up with the release of notable on-chain metrics that, in his view, showed a big performance gap between Solana and XRPL. Among the numbers: XRPL has had around 25,000 daily active accounts for the past three years, while Solana has over 2.5 million.

He also compared transaction volumes. XRPL does 1 to 1.5 million daily transactions, while Solana does around 100 million. In monthly stablecoin transfer volume; XRPL does $50-60 billion, Solana did nearly $2 trillion in October.

The Numbers: What the Data Says

In the blockchain activity debate, the numbers Solana’s team put out are stark. According to multiple sources:

In his comment, Vibhu anticipated potential objections about bot activity or wash trades:

“This can’t be substantiated with data and the data provided here for Solana excludes wash volume.” He also noted; “Given that both XRPL and Solana have low transaction fees, there’s no reason one would attract bots more than the other.” 

These numbers are the empirical foundation of the Solana vs Ripple blockchain activity debate, highlighting questions of engagement, growth and ecosystem vitality.

Why This Matters: Ecosystems

While the Solana vs Ripple blockchain activity debate looks like a competition, its deeper meaning is what network activity implies about adoption and utility. Stronger engagement metrics often correlate with ecosystem health; infrastructure usage; developer interest; third-party integrations and real-world flows.

In the Solana vs Ripple debate; for Solana; the numbers support its narrative of a fast-growing, developer-focused chain; open to DeFi, NFTs and high-throughput use cases.

For XRPL, the numbers are small and raise questions about whether the design (payments, institutional, tokenization) translates to large retail and on-chain usage.

Reports say Vibhu called XRPL’s traction “extremely mediocre, given the value of the network and time in market.”

From the perspective of investors, developers and institutional actors, this public metrics comparison could influence which networks get attention, build-out or partnerships.

The blockchain activity debate is a kind of reputational scoreboard; and in a crowded field of blockchain protocols, perception can drive momentum as much as fundamentals.

How the Ripple Community Responds

The XRPL/Ripple community has offered its own narrative and counterpoints. Some say XRPL is designed for payments and enterprise integrations, not mass-retail, high-volume use, so the numbers should be interpreted differently.

One comment says; “XRPL is one of the only blockchains where users can be their own bank.”

Sources argue that the XRPL ecosystem has focused on real-world asset tokenization, regulatory compliance and bank-grade infrastructure which may yield more value over time even if growth is slower. Solana is focusing on speed and volume.

Solana on the other hand stands rooted in speed and volume. The blockchain activity debate brings transparency to the comparison and forced both communities to show their metrics and purpose. 

This public data puts pressure on both ecosystems to back up their growth narratives beyond marketing and hype.

Conclusion

The Solana vs Ripple blockchain activity debate enters a new phase: the live, public debate proposed by Solana’s team adds stakes and visibility. The outcome will shape community narratives, developer mindsets and even investor sentiment. Questions to watch:

Will Ripple or XRPL execs accept and schedule the “facts-only” livestream? And will they bring comparable on-chain data?

How will both sides define “active accounts,” “transactions,” and “volume”?

Standardized metrics also matter and beyond the numbers, what will each network say about application types, user retention, wallet health and real-world flows?

The truth of the Solana vs Ripple debate will not just be on raw numbers, but how each network translates engagement into real world value.

Glossary

Active account: A wallet address on a blockchain that participates in at least one transaction within a defined time period; used as a proxy for user engagement.

Daily transactions: The total number of transactions processed on a blockchain network in one day; high volume may indicate broad utility or use cases.

Stablecoin transfer volume: The total value of transactions involving stablecoins on a network within a period; often used to assess payment and liquidity flows.

On-chain metrics: Quantitative data captured on blockchain networks (e.g.; addresses, transactions, volume); used to evaluate network health and activity.

Tokenization: The process of representing real-world assets (like commodities, stocks or property); on a blockchain as digital tokens;often cited in XRPL’s strategy.

Frequently Asked Questions About Solana vs Ripple Blockchain Activity Debate

What is the Solana vs Ripple blockchain activity debate?

The debate is the public challenge by Solana Foundation to Ripple executives to compare their networks using raw, on-chain data (active accounts, transactions, volumes) and determine which has stronger ecosystem activity.

What metrics did Solana use when making the challenge?

Solana used 2.5 million daily active accounts, 100 million daily transactions and $2 trillion monthly stablecoin transfers (October) on their network, vs 25,000 active accounts, 1-1.5 million transactions daily and $50-60 billion monthly volume on XRPL.

Is more active accounts always better?

No. While higher numbers often mean more engagement, qualitative factors like application utility, security, regulatory compliance and target audience; also matter. XRPL proponents focus on payments and institutions rather than volume.

What could come out of a live “facts-only” debate?

If done, it could bring transparency to blockchain comparisons, influence developer and investor opinion and make networks deliver on usage rather than marketing.

Read More: Solana Outpaces XRP in Network Activity: 2.5M Accounts vs 25K on XRPL">Solana Outpaces XRP in Network Activity: 2.5M Accounts vs 25K on XRPL

This article was first published on The Bit Journal.

The Human Rights Foundation (HRF) has sounded a new kind of Bitcoin alarm; one that no price chart can predict. In its latest report, “The Quantum Threat to Bitcoin,” the group warns that the world’s most secure form of money could one day be cracked wide open by quantum computers.

If that happens, Bitcoin’s cryptographic backbone, the math that keeps wallets safe and transactions authentic, could fail, exposing millions of coins, including Satoshi Nakamoto’s, to digital theft.

What the HRF Report Says About the Bitcoin Quantum Threat

The HRF report lays out some alarming numbers. It estimates that about 6.5 million BTC; one-third of all Bitcoins in circulation; could be vulnerable to long-range quantum attacks.

Of those, 4.49 million BTC are in addresses that could be moved to quantum-resistant address types; the remaining 1.72 million BTC (including 1.1 million held by Satoshi Nakamoto) are in old formats and therefore highly exposed.
As the report says:

“Upgrading Bitcoin to withstand quantum threats is as much a human challenge as a cryptographic one. Any successful soft fork integrating quantum-resistant signature schemes will necessitate user education, thoughtful user interface design, and coordination across a global ecosystem…”

This means the Bitcoin quantum threat is not just about math; it’s about coordination; migration and social consensus.

How Quantum Computing Breaks Bitcoin’s Cryptography

At the heart of the Bitcoin quantum threat are two main attack vectors; long-range attacks on dormant or reused addresses and short-range attacks on live transactions where public keys are exposed.

Bitcoin uses the Elliptic Curve Digital Signature Algorithm (ECDSA) and Schnorr signatures to validate transactions. These rely on the mathematical hardness of discrete logarithms. Quantum algorithms like Shor’s algorithm could in theory compute private keys from public keys much faster than classical computers.

For example, when a Bitcoin address reveals its public key on chain (as happens in Pay-to-Public-Key (P2PK) or when an address is reused), that key becomes a quantum target.

The HRF report says “1.72 million Bitcoin… will be highly vulnerable to long-range quantum attacks.”

Researchers also note that while quantum computers capable of this are not yet mature, the window to move funds safely is closing and delays compound the risk.

So the Bitcoin quantum threat seems real; it means the core cryptographic shield that underpins Bitcoin could one day collapse.

Why This Matters for the Bitcoin Ecosystem

The Bitcoin quantum threat is appears structural. If large amounts of BTC became accessible to quantum adversaries, this would undermine trust in Bitcoin’s value proposition as a store of value.

As one analysis notes: “Quantum recovered coins only make everyone else’s coins worth less.”

There’s also a scaling and migration challenge. The HRF says quantum-secure signature schemes like lattice- or hash-based methods are much larger than current signatures, one alternative is 10× or even 38× larger which would bloat transaction sizes and stress the blockchain.

Again, the social and governance dimension is huge. Because Bitcoin upgrades require consensus, the transition to post-quantum cryptography is much harder than a normal code change. The report says:

“The community must coordinate across coders, wallet builders, advocacy groups, and millions of skeptical holders…”

In summary, the Bitcoin quantum threat is a problem for Bitcoin’s decentralized upgrade model and could stress its identity as censorship-resistant, neutral money.

What the Bitcoin Community Is Doing (and Not Doing)

In response to the Bitcoin quantum threat, various efforts are underway. For example, Jameson Lopp (co-founder of Casa) has proposed migrating to post-quantum address types and even “burning” vulnerable funds rather than let them be stolen.
Lopp’s perspective:

“Allowing quantum recovery of Bitcoins is akin to wealth redistribution. We would enable the transfer of cryptocurrency from those unaware of quantum computers to those who have won the technological race.”

Meanwhile; the HRF’s report calls for funding; education and coordinated upgrades but it emphasizes the timeline is uncertain.

Despite this; consensus has not been reached. Wallet providers, node operators and users are not equally informed. Many funds are locked in old address formats and may never migrate. This gap takes the Bitcoin quantum threat from theoretical to imminent.

Conclusion

Timing matters as far as this looming Bitcoin quantum threat is concerned. The HRF report says the risk becomes actionable in 5-10 years depending on quantum progress.

Migrating to quantum-resistant schemes is hard and slow. One academic paper estimated it would take at least 76 days of cumulative downtime for the network to be safe.

If there’s delay, the window for safe migration shrinks. Worse, dormant funds get accessed, user confidence is shaken and Bitcoin’s promise of secure, permission-less money is broken.

Hence; the Bitcoin quantum threat is a countdown and a coordination problem; a test of if the ecosystem evolve without undermining what made it valuable.

Glossary

Cryptographically Relevant Quantum Computer (CRQC): a quantum computer powerful and stable enough to break widely-used cryptographic algorithms; such as those securing Bitcoin.

Long-Range Attack: a quantum attack vector; that exploits keys or addresses that have been exposed publicly in the past; especially dormant or reused addresses.

Short-Range Attack: a quantum attack targeting recently used addresses or transactions; where public keys are temporarily exposed during processing.

Post-Quantum Cryptography (PQC): cryptographic algorithms designed to resist attacks by quantum computers; includes lattice-based and hash-based signature schemes.

Elliptic Curve Digital Signature Algorithm (ECDSA): signature algorithm used by Bitcoin to prove ownership of keys; which is considered vulnerable to quantum algorithms like Shor’s.

Soft Fork: backward-compatible change to a blockchain protocol; which allows non-upgraded nodes to continue participating; it is one possible route for migrating Bitcoin’s cryptography.

Frequently Asked Questions About Bitcoin Quantum Threat

Is Bitcoin currently under quantum attack?

No. Current quantum computers are not believed to be capable of breaking Bitcoin’s cryptography yet; but many think that may change in 5-10 years.

Which Bitcoins are most vulnerable to the Bitcoin quantum threat?

Funds in older address formats like Pay-to-Public-Key or reused addresses where the public key has been exposed are most at risk. The HRF estimates 1.72 million BTC are locked in such vulnerable formats.

What can a Bitcoin holder do now to mitigate the threat?

One thing to do now is to avoid address reuse; move funds to newer wallets that support migration to quantum-resistant address types; and stay informed about upcoming protocol upgrades.

Will the Bitcoin blockchain have to stop or fork entirely?

No. The plan is for a soft fork or coordinated upgrade that introduces quantum-secure signature schemes without stopping the chain. Though it’s complicated.

Read More: Bitcoin vs Quantum Computing: Why HRF Warn 6.5 Million BTC Could Be at Risk">Bitcoin vs Quantum Computing: Why HRF Warn 6.5 Million BTC Could Be at Risk

Experts are projecting that the Ethereum price prediction November 2025 will be a mix of macro and crypto trends. After reaching new all-time highs in mid-2025, ETH’s November outlook is influenced by Fed rate cuts, regulatory changes such as the new ETFs and stablecoin laws as well as global events.

Analysts and institutions have a wide range of targets. Citigroup project a price of $4,300 with a bull case at $6,400 and a bear case of $2,200 in a downturn. Standard Chartered just raised its 2025 year-end forecast to $7,500.

These numbers suggest that $ETH is likely to trade in the mid-$3K to high-$4K range in the month of November unless a surprising market turn ensues.

About Ethereum

Ethereum is a decentralized open-source blockchain that enables smart contracts and dApps. Its native cryptocurrency is Ether (ETH); the second largest crypto by market capitalization. Ethereum transitioned to Proof-of-Stake (PoS) in 2022; reducing energy usage and enabling staking.

As of late 2025; key stats for Ethereum are:

These figures illustrate Ethereum’s dominant network metrics. Its circulating supply is 120.7M ETH, with 30% staked under PoS. It has the largest DeFi ecosystem with $119B in TVL; by far. So; Ethereum’s price outlook into November 2025 is a combination of fundamentals and market catalysts.

Key Factors Affecting Ethereum’s Price

Ethereum’s outlook for November 2025 is being influenced by a bunch of big market and macroeconomic factors. From investors piling into ETF’s to network upgrades and interest rates, analysts say these are going to shape the momentum of $ETH in November.

Just recently the first staking ETH ETF (REX-Osprey ESK) launched in September 2025 and pays out actual staking rewards. These ETFs and related regulatory moves have increased demand.

The Federal Reserve’s rate cut on October 29th of 25 basis points is a bit of a relief for risk assets and that includes crypto currencies. Lower borrowing costs is usually a good thing for liquidity and therefore also for Ethereum.

However, Fed chair Jerome Powell’s cautious tone might put the brakes on the market, keeping Ethereum’s November price swings to a fairly narrow range between $3,900 and $4,300.

By contrast; US-China trade friction has also been weighing on $ETH prices. In mid October 2025, new tariffs tussles caused a crypto selloff and Ether dropped to $3,900 after US-China port fees were renewed. Geopolitical tensions tend to drag on risk-on assets; hence continued tension could weigh on Ethereum.

Industry trends, however, are quite positive. Over 65% of new dApps are reportedly launching on Ethereum’s Layer-2s.

The upcoming Fusaka network upgrade in December 2025 could make Ethereum’s Layer-2 faster and cheaper, which is great news for the long-term holders.

This has already created a very positive atmosphere around Ethereum; which could lead to a potential price rise in November because of market participants looking ahead to this upgrade.

Taken together, these factors frame the Ethereum price prediction for November 2025. On balance, regulation and adoption offer positives while macro uncertainty, like rates and geopolitics, could cap gains.

Price Forecast for November 2025

The projected range for Ethereum in November 2025; is around $4,300-$4,800. The average of major forecasts falls near the mid-$4,000s. By the end of the month, if bullish momentum continues, $ETH could touch the high ends of $4,000s to $5,000.

If instead markets remain cautious, $ETH might hover around $4,300. November might be a make-or-break month as analysts put it, where a decisive monthly close will set the tone for the longer term.

As of late October 2025, Ethereum ranges around $3,800. A bull case with more institutional adoption and ETF inflows could see ETH to $6K by year-end. However, with macro weaknesses, $ETH could slide downwards to even $2.2-$3K, in the worst case scenario. The base case is a mid-range consolidation around $4K-$4.5K which is where many analysts are targeting.

On-chain analysts note a triple-bottom around $3,750-$3,800, historically a floor before rallies. A break below $4,000 could open up downside to that level.

These scenarios frame the Ethereum price prediction November 2025. In essence, Base-case conditions could hold $ETH to be around $3,800-$4,500 in the month and bullish momentum could see it reach $5K+ if new catalysts arrive.

Expert Analysis and Forecasts

Market analysts are diverse in their forecasts given crypto’s volatility. Citigroup has a year-end 2025 ETH target of $4,300, citing DeFi and stablecoin use cases. Analysts think current prices are partly driven by sentiment and outlined a bull case of $6,400 if adoption accelerates and a bear case of around $2,000 if global growth falters.

Standard Chartered is way more optimistic. They just raised their 2025 year-end $ETH forecast to $7,500 and noted surging industry engagement and corporate holdings. StanChart thinks the stablecoin sector will grow 8x by 2028 which will boost fees and $ETH demand.

CoinCodex’s algorithm projects Ethereum at $4,350 by Nov 29, 2025; roughly +11.7% from late October. TokenMetrics thinks with institutional demand via ETFs and wallets; $ETH could test $5,000-$10,000 by the end of 2025 if the Pectra upgrade improves scalability.

Crypto analyst Ali Martinez sees a multi-year path to $10,000 (beyond 2025) and on-chain data firm Santiment notes large holders are accumulating again which is a bullish sign.

In summary, forecasts have a wide range for the Ethereum price prediction November 2025. Citigroup’s near-term outlook of $4,300 and CoinCodex’s $4,350 for late November is mid-$4K. Standard Chartered’s $7,500 target (year-end) shows an upside into 2026.

 Below is a summary of recent November 2025 forecasts from market analysts and forecasting platforms:

Market Scenarios: Bearish, Base and Bullish Outlook

In the Bullish Scenario, if global markets calm down, the Fed eases, and crypto ETFs/staking products keep seeing big inflows, $ETH could go up. Institutional support and network upgrades could drive new highs.

In this scenario the Ethereum price in November 2025 could go past previous highs. Optimistic models have $ETH at $5,000-$6,000+ by year-end if momentum holds.

In the Base Scenario, more likely, Ethereum could be in the mid-$3K to low-$5K range in November 2025. Experts’ targets implies a small increase from current levels.

In this base case, gains from ETFs and adoption are offset by typical volatility and some profit-taking. $ETH might consolidate around $4,000, testing support at $3,900-$4,000 and resistance at $4,300-$4,500. This range reflects that $ETH’s fundamentals are strong even if broader markets pull back.

In the Bearish Scenario, a new financial crisis could drain liquidity from crypto. US-China clashes or a global stock market crash could trigger risk-off selling. In that case, Ethereum could go back to $2,000-$3,000. Citi’s bear case of $2,200 by year-end accounts for such a macro slump. Technical winds such as disappointing ETF flows or on-chain congestion issues; could also make things worse.

Conclusion

Ethereum price prediction the November 2025 projects that $ETH could trade in a range of $3,500-$5,500; depending on the broader market.. Institutional winds like spot and staking ETFs; US regulatory support and upcoming upgrades give a bullish bias; so $ETH could test new highs by late 2025.

However, economic and geopolitical headwinds like Fed policy shifts, trade tensions could temper gains. Major financial firms like Citi and StanChart have targets of $4.3K and $7.5K by year-end, implying that the mid-2025 momentum might just carry into the later part of November.

In short; Ethereum’s outlook for November 2025 is positive but uncertain. A steady climb above $4K could confirm the bullish view; while a break below $3,500 could invalidate it.

Market watchers and investors should keep an eye on the Fed; regulatory news and institutional flows. In the coming weeks; Ethereum’s price will reflect how these catalysts play out.

Glossary

Ethereum (ETH): A decentralized, open-source blockchain.

Exchange-Traded Fund (ETF): A regulated investment fund traded on an exchange; representing a basket of assets.

Frequently Asked Questions About Ethereum Price Prediction November 2025

What affects Ethereum’s price?

Supply and demand; market sentiment and macro policies. Regulatory news like ETF approvals and crypto laws; institutional adoption, network upgrades and global events like US-China tensions; all matter.

How do Ethereum ETFs impact ETH’s price?

Spot ETH ETFs allow large investors and funds to buy $ETH without holding the crypto directly. This increases institutional demand and liquidity. For example, the launch of the new staking ETFs has brought fresh capital into $ETH and pushed prices up.

What is Ethereum’s all-time high price?

ETH’s ATH is $4,953.73; reached on August 24, 2025.

Will Ethereum hit $10,000 by 2025?

Most think $10K ETH by end-2025; is highly unlikely and too optimistic. Current targets are much lower.. Long-term forecasts (2027-28) do see five-figure prices under perfect conditions; but for November 2025; the consensus is below $10K.

What is Ethereum’s price prediction for November 2025?

Forecasts vary but mid-range expectations are $4,000-$4,500 by late Nov 2025. For example; CoinCodex’s model says $4,350 by Nov 29, 2025. Citi analysts have a similar target ($4.3K by year-end). This assumes a continuation of 2025 trends without extreme events.

Read More: Ethereum Price Prediction November 2025: Can ETH Hit $5,000 After Fed Rate Cuts?">Ethereum Price Prediction November 2025: Can ETH Hit $5,000 After Fed Rate Cuts?

This article was first published on The Bit Journal.

In a sudden turn around, investors yanked more than $550 million out of Bitcoin and Ether ETFs, which ended a week-long rally and also gave the signal that there is a temporary cool-off in institutional demand for the top two digital assets. Yet; while the rest of the market was in red, Solana’s ETFs headed in the opposite direction, attracting around $48 million in fresh capital.

Analysts and fund managers point out that Solana’s ability to pair staking with strong network fundamentals is changing investor attitudes.

ETF Flow Data: A Stark Divergence in Fortunes

Just recently, U.S. spot crypto ETFs tracking Bitcoin registered around $470.7 million in outflows. Fidelity’s FBTC lost $164.36 million, while ARK and 21Shares’ ARKB was down by around $143.80 million. Other Bitcoin-linked ETFs like BlackRock’s IBIT and Grayscale’s GBTC also chipped in with redemptions of $88.08 million and $65.01 million respectively.

Ethereum ETFs were also in the red, registering around $81.44 million in withdrawals (Fidelity’s FETH accounting for $69.49 million) even as day trading volume reached $2.43 billion.

This stood in stark contrast to Solana ETFs, which jumped into positive territory. Bitwise Asset Management’s flagship Solana product (BSOL) pulled in about $46.5 million in net inflows on the day (in addition to earlier inflows), while Grayscale investment’s GSOL added $1.4 million on its first full trading day.

In total, combined spot Solana ETFs inflows drew $47.9 million and since launch, they have pulled in $117 million in total.

Why Solana ETF Inflows Gained Strength

The rise in Solana ETF inflows is rooted in many factors. The Solana product structure gives investors a taste of yield via staking. The Bitwise Solana Staking ETF (BSOL) holds about 82% of its SOL in stake and is working towards full staking, making it more appealing to institutions that are after returns.

Solana’s network fundamentals also gained a lot more credibility with institutions; its DeFi TVL had more than tripled year to date, transaction volumes were up, and uptime patterns were on point.

A Comparison to Bitcoin and Ethereum Outflows

The flow data highlights the scale of this shift. While Bitcoin and Ethereum funds collectively saw a net outflow of about $552 million, Solana ETFs drew around $47- $48 million on the same day.

Further, even the Solana ETF launches themselves were a huge success. BSOL reported a massive first-day inflow of $69.45 million on debut, taking its AUM up to nearly $289 million.

In contrast, Bitcoin and Ethereum still have much larger assets under management but the net outflow event suggests the flow momentum may be shifting. 

Solana ETF Inflows Implications

Solana ETF inflows may have multiple implications for the crypto ecosystem. Increased institutional access via ETFs improves Solana’s visibility in traditional portfolios.

The capital flowing into Solana may reduce available liquid supply (given staking and locking mechanisms), potentially supporting price. Sources note 70% of SOL circulating supply is staked which tightens tradable liquidity.

The Solana ETF inflows may stimulate a broader altcoin-infrastructure rotation. Investors looking beyond Bitcoin and Ethereum may allocate to networks like Solana that have staking yields, infrastructure potential and ETF access.

Conclusion

The current Solana ETF inflows are part of an ongoing change in the crypto ETF space. According to global data reported earlier this month, cryptocurrency ETFs saw $5.95 billion in weekly inflows ending October 4, 2025; with Solana seeing $706.5 million that week.

This means the recent Solana ETF inflows are part of a larger trend that altcoins infrastructure chains will increasingly get dedicated ETF capital.

Moreover, ETF issuers are now offering staking-enabled products (like BSOL) not just price-tracking exposure which expands the type of institutional product available.

The magnitude of the Solana ETF inflows, therefore, means both flow rotation and product innovation.

Driven by yield, network and product, the Solana ETF inflows show institutional allocation in crypto is going beyond the top coins.

Glossary

ETF (Exchange-Traded Fund) – A pooled investment product traded on exchanges; providing exposure to assets such as cryptocurrencies.

Staking rewards – Income generated by locking tokens in a proof-of-stake network; to validate transactions or secure the network.

AUM (Assets Under Management) – Total value of assets managed by a fund.

Liquid supply – The portion of a cryptocurrency’s circulating supply; that is readily tradable on exchanges or markets.

Infrastructure chain – A blockchain platform (like Solana) that supports applications; DeFi, tokenization and other on-chain activity beyond mere value transfer.

Frequently Asked Questions About Solana ETF Inflows

What does Solana ETF inflows mean?

It’s the net investment into ETFs that offer Solana (SOL) exposure; specifically BSOL and GSOL, not ETFs that track Bitcoin or Ethereum.

Why are BTC and ETH ETFs seeing outflows when Solana ETFs are seeing inflows?

Part of it is the shift in investor focus; institutions want exposure to yield-enabled; infrastructure-layer assets (like Solana) not just the top two coins. Also; macro and product design differences may contribute to the diverging flows.

How much did Solana ETFs pull in on October 29?

According to multiple sources, Solana ETFs pulled in $46.5m (Bitwise BSOL) and $1.4m (Grayscale GSOL) that day, totaling $47-48m.

What does this mean for crypto ETFs?

The flows show crypto ETFs are evolving: infrastructure-layer assets and staking-enabled designs are gaining traction which may lead to broader institutional diversification beyond Bitcoin/Ethereum.

Read More: Solana ETF See $48M Inflows as Bitcoin and Ethereum Funds Lose $550M">Solana ETF See $48M Inflows as Bitcoin and Ethereum Funds Lose $550M