320 posts tagged with "Ethereum"

On January 13, 2026, Celestia shattered expectations with a single benchmark: 1 terabit per second of data throughput across 498 distributed nodes. For context, that's enough bandwidth to process the entire daily transaction volume of Ethereum's largest Layer 2 rollups—in less than a second.

But the real story isn't the headline number. It's the cryptographic infrastructure that makes it possible: Data Availability Sampling (DAS), a breakthrough that allows resource-constrained light nodes to verify blockchain data availability without downloading entire blocks. As rollups race to scale beyond Ethereum's native blob storage, understanding how Celestia achieves this throughput—and why it matters for rollup economics—has never been more critical.

The Data Availability Bottleneck: Why Rollups Need a Better Solution​

Blockchain scalability has long been constrained by a fundamental trade-off: how do you verify that transaction data is actually available without requiring every node to download and store everything? This is the data availability problem, and it's the primary bottleneck for rollup scaling.

Ethereum's approach—requiring every full node to download complete blocks—creates an accessibility barrier. As block sizes grow, fewer participants can afford the bandwidth and storage to run full nodes, threatening decentralization. Rollups posting data to Ethereum L1 face prohibitive costs: at peak demand, a single batch can cost thousands of dollars in gas fees.

Enter modular data availability layers. By separating data availability from execution and consensus, protocols like Celestia, EigenDA, and Avail promise to slash rollup costs while maintaining security guarantees. Celestia's innovation? A sampling technique that inverts the verification model: instead of downloading everything to verify availability, light nodes randomly sample tiny fragments and achieve statistical confidence that the full dataset exists.

Data Availability Sampling Explained: How Light Nodes Verify Without Downloading​

At its core, DAS is a probabilistic verification mechanism. Here's how it works:

Random Sampling and Confidence Building​

Light nodes don't download entire blocks. Instead, they conduct multiple rounds of random sampling for small portions of block data. Each successful sample increases confidence that the complete block is available.

The math is elegant: if a malicious validator withholds even a small percentage of block data, honest light nodes will detect the unavailability with high probability after just a few sampling rounds. This creates a security model where even resource-limited devices can participate in data availability verification.

Specifically, every light node randomly chooses a set of unique coordinates in an extended data matrix and queries bridge nodes for the corresponding data shares plus Merkle proofs. If the light node receives valid responses for each query, statistical probability guarantees the whole block's data is available.

2D Reed-Solomon Encoding: The Mathematical Foundation​

Celestia employs a 2-dimensional Reed-Solomon encoding scheme to make sampling both efficient and fraud-resistant. Here's the technical flow:

1. Block data is split into k × k chunks, forming a data square
2. Reed-Solomon erasure coding extends this to a 2k × 2k matrix (adding redundancy)
3. Merkle roots are computed for each row and column of the extended matrix
4. The Merkle root of these roots becomes the block data commitment in the block header

This approach has a critical property: if any portion of the extended matrix is missing, the encoding breaks down, and light nodes will detect inconsistencies when verifying Merkle proofs. An attacker can't withhold data selectively without being caught.

Namespaced Merkle Trees: Rollup-Specific Data Isolation​

Here's where Celestia's architecture shines for multi-rollup environments: Namespaced Merkle Trees (NMTs).

A standard Merkle tree groups data arbitrarily. An NMT, however, tags every node with the minimum and maximum namespace identifiers of its children, and orders leaves by namespace. This enables rollups to:

• Download only their own data from the DA layer
• Prove completeness of their namespace's data with a Merkle proof
• Ignore irrelevant data from other rollups entirely

For a rollup operator, this means you're not paying bandwidth costs to download data from competing chains. You fetch exactly what you need, verify it with cryptographic proofs, and move on. This is a massive efficiency gain compared to monolithic chains where all participants must process all data.

The Matcha Upgrade: Scaling to 128MB Blocks​

In 2025, Celestia activated the Matcha upgrade, a watershed moment for modular data availability. Here's what changed:

Block Size Expansion​

Matcha increases maximum block size from 8MB to 128MB—a 16x capacity boost. This translates to:

• Data square size: 128 → 512
• Maximum transaction size: 2MB → 8MB
• Sustained throughput: 21.33 MB/s in testnet (April 2025)

To put this in perspective, Ethereum's target blob count is 6 per block (roughly 0.75 MB), expandable to 9 blobs. Celestia's 128MB blocks dwarf this capacity by over 100x.

High-Throughput Block Propagation​

The constraint wasn't just block size—it was block propagation speed. Matcha introduces a new propagation mechanism (CIP-38) that safely disseminates 128MB blocks across the network without causing validator desynchronization.

In testnet, the network sustained 6-second block times with 128MB blocks, achieving 21.33 MB/s throughput. This represents 16x the current mainnet capacity.

Storage Cost Reduction​

One of the most overlooked economic changes: Matcha reduced the minimum data pruning window from 30 days to 7 days + 1 hour (CIP-34).

For bridge nodes, this slashes storage requirements from 30TB to 7TB at projected throughput levels. Lower operational costs for infrastructure providers translate to cheaper data availability for rollups.

Token Economics Overhaul​

Matcha also improved TIA token economics:

• Inflation cut: From 5% to 2.5% annually
• Validator commission increase: Max raised from 10% to 20%
• Improved collateral properties: Making TIA more suitable for DeFi use cases

Combined, these changes position Celestia for the next phase: scaling toward 1 GB/s throughput and beyond.

Rollup Economics: Why 50% DA Market Share Matters​

As of early 2026, Celestia holds approximately 50% of the data availability market, having processed over 160 GB of rollup data. This dominance reflects real-world adoption by rollup developers who prioritize cost and scalability.

Cost Comparison: Celestia vs Ethereum Blobs​

Celestia's fee model is straightforward: rollups pay per blob based on size and current gas prices. Unlike execution layers where computation dominates, data availability is fundamentally about bandwidth and storage—resources that scale more predictably with hardware improvements.

For rollup operators, the math is compelling:

• Ethereum L1 posting: At peak demand, batch submission can cost $1,000–$10,000+ in gas
• Celestia DA: Sub-dollar costs per batch for equivalent data

This 100x+ cost reduction is why rollups are migrating to modular DA solutions. Cheaper data availability directly translates to lower transaction fees for end users.

The Rollup Incentive Structure​

Celestia's economic model aligns incentives:

1. Rollups pay for blob storage proportional to data size
2. Validators earn fees for securing the DA layer
3. Bridge nodes serve data to light nodes and earn service fees
4. Light nodes sample data for free, contributing to security

This creates a flywheel: as more rollups adopt Celestia, validator revenue increases, attracting more stakers, which strengthens security, which attracts more rollups.

The Competition: EigenDA, Avail, and Ethereum Blobs​

Celestia's 50% market share is under siege. Three major competitors are scaling aggressively:

EigenDA: Ethereum-Native Restaking​

EigenDA leverages EigenLayer's restaking infrastructure to offer high-throughput data availability for Ethereum rollups. Key advantages:

• Economic security: Secured by restaked ETH (currently 93.9% of restaking market)
• Tight Ethereum integration: Native compatibility with Ethereum's blob market
• Highest throughput claims: Though previous versions lacked active economic security

Critics point out that EigenDA's reliance on restaking introduces cascade risk: if an AVS experiences slashing, it could propagate to Lido stETH holders and destabilize the broader LST market.

Avail: Universal DA for All Chains​

Unlike Celestia's Cosmos focus and EigenDA's Ethereum orientation, Avail positions itself as a universal DA layer compatible with any blockchain architecture:

• UTXO, Account, and Object model support: Works with Bitcoin L2s, EVM chains, and Move-based systems
• Modular design: Separates DA from consensus entirely
• Cross-ecosystem vision: Aims to serve as the neutral DA layer for all blockchains

Avail's challenge? It's the newest entrant, lagging in live rollup integrations compared to Celestia and EigenDA.

Ethereum Native Blobs: EIP-4844 and Beyond​

Ethereum's EIP-4844 (Dencun upgrade) introduced blob-carrying transactions, offering rollups a cheaper data posting alternative to calldata. Current capacity:

• Target: 6 blobs per block (~0.75 MB)
• Maximum: 9 blobs per block (~1.125 MB)
• Future expansion: PeerDAS and zkEVM upgrades targeting 10,000+ TPS

However, Ethereum blobs come with trade-offs:

• Short retention window: Data is pruned after ~18 days
• Shared resource contention: All rollups compete for the same blob space
• Limited scalability: Even with PeerDAS, blob capacity maxes out far below Celestia's roadmap

For rollups prioritizing Ethereum alignment, blobs are attractive. For those needing massive throughput and long-term data retention, Celestia remains the better fit.

Fibre Blockspace: The 1 Terabit Vision​

On January 14, 2026, Celestia co-founder Mustafa Al-Bassam unveiled Fibre Blockspace—a new protocol targeting 1 terabit per second of throughput with millisecond latency. This represents a 1,500x improvement over the original roadmap targets from just a year prior.

Benchmark Details​

The team achieved the 1 Tbps benchmark using:

• 498 nodes distributed across North America
• GCP instances with 48-64 vCPUs and 90-128GB RAM each
• 34-45 Gbps network links per instance

Under these controlled conditions, the protocol sustained 1 terabit per second data throughput—a staggering leap in blockchain performance.

ZODA Encoding: 881x Faster Than KZG​

At Fibre's core is ZODA, a novel encoding protocol that Celestia claims processes data 881x faster than KZG commitment-based alternatives used by EigenDA and Ethereum blobs.

KZG commitments (Kate-Zaverucha-Goldberg polynomial commitments) are cryptographically elegant but computationally expensive. ZODA trades some cryptographic properties for massive speed gains, making terabit-scale throughput achievable on commodity hardware.

The Vision: Every Market Comes Onchain​

Al-Bassam's roadmap statement captures Celestia's ambition:

"If 10KB/s enabled AMMs, and 10MB/s enabled onchain orderbooks, then 1 Tbps is the leap that enables every market to come onchain."

The implication: with sufficient data availability bandwidth, financial markets currently dominated by centralized exchanges—spot, derivatives, options, prediction markets—could migrate to transparent, permissionless blockchain infrastructure.

Reality Check: Benchmarks vs. Production​

Benchmark conditions rarely match real-world chaos. The 1 Tbps result was achieved in a controlled testnet environment with high-performance cloud instances. The real test comes when:

• Actual rollups push production workloads
• Network conditions vary (latency spikes, packet loss, asymmetric bandwidth)
• Adversarial validators attempt data withholding attacks

Celestia's team acknowledges this: Fibre runs parallel to the existing L1 DA layer, giving users a choice between battle-tested infrastructure and cutting-edge experimental throughput.

What This Means for Rollup Developers​

If you're building a rollup, Celestia's DAS architecture offers compelling advantages:

When to Choose Celestia​

• High-throughput applications: Gaming, social networks, micropayments
• Cost-sensitive use cases: Rollups targeting sub-cent transaction fees
• Data-intensive workflows: AI inference, decentralized storage integrations
• Multi-rollup ecosystems: Projects launching multiple specialized rollups

When to Stick with Ethereum Blobs​

• Ethereum alignment: If your rollup values Ethereum's social consensus and security
• Simplified architecture: Blobs offer tighter integration with Ethereum tooling
• Lower complexity: Less infrastructure to manage (no separate DA layer)

Integration Considerations​

Celestia's DA layer integrates with major rollup frameworks:

• Polygon CDK: Easily pluggable DA component
• OP Stack: Custom DA adapters available
• Arbitrum Orbit: Community-built integrations
• Rollkit: Native Celestia support

For developers, adopting Celestia often means swapping out the data availability module in your rollup stack—minimal changes to execution or settlement logic.

The Data Availability Wars: What Comes Next​

The modular blockchain thesis is being stress-tested in real time. Celestia's 50% market share, EigenDA's restaking momentum, and Avail's universal positioning set up a three-way competition for rollup mindshare.

Key Trends to Watch​

1. Throughput escalation: Celestia targets 1 GB/s → 1 Tbps; EigenDA and Avail will respond
2. Economic security models: Will restaking risks catch up to EigenDA? Can Celestia's validator set scale?
3. Ethereum blob expansion: PeerDAS and zkEVM upgrades could shift cost dynamics
4. Cross-chain DA: Avail's universal vision vs. ecosystem-specific solutions

The BlockEden.xyz Angle​

For infrastructure providers, supporting multiple DA layers is becoming table stakes. Rollup developers need reliable RPC access not just to Ethereum, but to Celestia, EigenDA, and Avail.

BlockEden.xyz offers high-performance RPC infrastructure for Celestia and 10+ blockchain ecosystems, enabling rollup teams to build on modular stacks without managing node infrastructure. Explore our data availability APIs to accelerate your rollup deployment.

Conclusion: Data Availability as the New Competitive Moat​

Celestia's Data Availability Sampling isn't just an incremental improvement—it's a paradigm shift in how blockchains verify state. By enabling light nodes to participate in security through probabilistic sampling, Celestia democratizes verification in a way monolithic chains cannot.

The Matcha upgrade's 128MB blocks and the Fibre vision's 1 Tbps throughput represent inflection points for rollup economics. When data availability costs drop 100x, entirely new application categories become viable: high-frequency trading onchain, real-time multiplayer gaming, AI agent coordination at scale.

But technology alone doesn't determine winners. The DA wars will be decided by three factors:

1. Rollup adoption: Which chains actually commit to production deployments?
2. Economic sustainability: Can these protocols maintain low costs as usage scales?
3. Security resilience: How well do sampling-based systems resist sophisticated attacks?

Celestia's 50% market share and 160 GB of processed rollup data prove the concept works. Now the question shifts from "can modular DA scale?" to "which DA layer will dominate the rollup economy?"

For builders navigating this landscape, the advice is clear: abstract your DA layer. Design rollups to swap between Celestia, EigenDA, Ethereum blobs, and Avail without re-architecting. The data availability wars are just beginning, and the winners may not be who we expect.

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Sources:

• Celestia's Data Availability Layer Documentation
• What is Data Availability? | Celestia
• Data Availability Sampling | Celestia
• Introducing the Matcha Upgrade: Towards 128MB Blocks
• Celestia Matcha Upgrade: Increased Block Size & Lower Inflation
• Celestia's Competitive Edge in Data Availability
• Namespaced Merkle Tree | Celestia
• GitHub - celestiaorg/nmt: Namespaced Merkle Tree
• Light Node | Celestia
• The Modular Stack Dominance: Celestia, Avail, and EigenDA
• Celestia Unveils Fibre Protocol With 1Tb/s Throughput Goal
• Celestia Unveils Vision 2.0, Targets 1Tbps Blockspace

Ethereum's Layer 2 networks have accomplished something extraordinary in 2025: they've reduced transaction costs by over 90%, making blockchain interactions nearly free. But this triumph of engineering has created an unexpected crisis—the very business model that funds these networks is collapsing beneath the weight of its own success.

As transaction fees plummet toward $0.001 per operation, Layer 2 operators face a stark question: how do you sustain a billion-dollar infrastructure when your primary revenue stream is evaporating?

The Great Fee Collapse of 2025​

The numbers tell a dramatic story. Between January 2025 and January 2026, average gas prices on Ethereum Layer 2 networks plummeted from 7.141 gwei to approximately 0.50 gwei—a staggering 93% reduction. Today, transactions on Base average $0.01, while Arbitrum and Optimism hover around $0.15-0.20, with many operations now costing mere fractions of a cent.

The catalyst? EIP-4844, Ethereum's Dencun upgrade launched in March 2024, which introduced "blobs"—temporary data packets that Layer 2 networks can use for cost-effective settlement. Unlike traditional calldata stored permanently on Ethereum, blobs remain available for approximately 18 days, enabling them to be priced dramatically lower.

The impact was immediate and devastating to the traditional revenue model. Optimism, Arbitrum, and Base all experienced 90-99% fee reductions for many transaction types. Median blob fees dropped to as low as $0.0000000005, making user interactions almost negligibly cheap. Over 950,000 blobs have been posted to Ethereum since EIP-4844's launch, fundamentally reshaping the economics of Layer 2 operations.

For users and developers, this is paradise. For Layer 2 operators counting on sequencer revenue, it's an existential threat.

Sequencer Revenue: The Endangered Revenue Stream​

Traditionally, Layer 2 networks have made money through a straightforward model: they collect fees from users for processing transactions, then pay a portion of those fees to Ethereum for data availability and settlement. The difference between what they collect and what they pay becomes their profit—sequencer revenue.

This model worked brilliantly when Layer 2 fees were substantial. But with transaction costs approaching zero, the margin has become razor-thin.

The economics reveal the challenge starkly. Base, despite leading the pack, averages only $185,291 in daily revenue over the past 180 days. Arbitrum pulls in approximately $55,025 per day. These numbers, while not insignificant, must support extensive infrastructure, development teams, and ongoing operations for networks processing hundreds of thousands of transactions daily.

The situation becomes more precarious when examining annual gross profits. Base leads with nearly $30 million for the year, while both Arbitrum and Optimism have grossed around $9.5 million each. These figures must sustain networks that collectively process 60-70% of Ethereum's total transaction volume—a massive operational burden for relatively modest returns.

The fundamental tension is clear: Layer 2 networks must find a niche that justifies their existence off Ethereum mainnet and generate sufficient revenue to sustain themselves. As one industry analysis noted, "profitability lies in the difference between what L2s earn from users and what they pay to Ethereum"—but that difference is shrinking daily.

The MEV Divergence: Different Paths to Value Capture​

Facing the sequencer revenue squeeze, Layer 2 networks are exploring Maximal Extractable Value (MEV) as an alternative revenue source. But their approaches differ dramatically, creating distinct competitive advantages and challenges.

Arbitrum's Fair Ordering Philosophy​

Arbitrum employs a First-Come First-Serve (FCFS) ordering system designed to reduce user harm from MEV extraction. This philosophy prioritizes user experience over revenue maximization, resulting in significantly lower MEV activity—only 7% of on-chain gas usage compared to over 50% on competing networks.

However, Arbitrum isn't abandoning MEV entirely. The network is exploring future decentralized sequencer implementations that might introduce auctions for MEV opportunities, potentially returning some value to users or the protocol treasury. This represents a middle path: preserving fairness while still capturing economic value.

Base and Optimism's Auction Approach​

In contrast, Base and Optimism utilize Priority Gas Auctions (PGA), where users can bid higher fees for transaction priority. This design inherently enables more MEV activity—Optimistic MEV accounts for 51-55% of total on-chain gas usage on these networks.

The catch? Success rates for actual arbitrage remain exceedingly low on OP-Stack rollups, hovering around 1%—far lower than on Arbitrum. The majority of gas is spent on "interaction probes"—on-chain computations searching for arbitrage opportunities that rarely materialize. This creates a peculiar situation where MEV activity consumes resources without generating proportional value.

Despite lower success rates, the sheer volume of MEV-related activity on Base contributes to its revenue leadership. The network processes over 1,000 transactions per second at minimal cost, turning volume into a competitive advantage.

Alternative Revenue Models: Beyond Transaction Fees​

As traditional sequencer revenue proves insufficient, Layer 2 networks are pioneering alternative business models that could reshape blockchain infrastructure economics.

The Licensing Divergence​

Arbitrum and Optimism have taken dramatically different approaches to monetizing their technology stacks.

Arbitrum's Orbit Revenue Share: Arbitrum adopts a "community source code" model, requiring chains built on its Orbit framework to contribute 10% of protocol revenue if they settle outside the Arbitrum ecosystem. This creates a royalty-like structure that generates income even when chains don't directly use Arbitrum for settlement.

Optimism's Open Source Gambit: Optimism's OP Stack is completely open source under the MIT license, allowing anyone to obtain the code, modify it freely, and build custom Layer 2 chains with no royalties or upfront fees. Revenue sharing only activates when a chain joins Optimism's official ecosystem, the "Superchain."

This creates an interesting dynamic: Optimism is betting on ecosystem growth and voluntary participation, while Arbitrum enforces economic alignment through licensing requirements. Time will tell which approach better balances growth with sustainability.

Enterprise Rollups and Professional Services​

Perhaps the most promising alternative emerged in 2025: the rise of the "enterprise rollup." Major institutions are launching custom Layer 2 networks, and they're willing to pay for professional deployment, maintenance, and support services.

This mirrors traditional open-source business models—the code is free, but operational expertise commands premium pricing. Optimism's recently launched OP Enterprise exemplifies this approach, offering white-glove service to institutions building customized blockchain infrastructure.

The value proposition is compelling for enterprises. They gain access to the liquidity and network effects of the Ethereum economy while maintaining customized security, privacy, and compliance capabilities. As one industry report notes, "institutions can have their own customized institutional L2 which plugs into the liquidity and network effects of the Ethereum economy."

Layer 3s and App-Specific Chains​

High-performance DeFi protocols increasingly demand capabilities that generic Layer 2 networks can't efficiently provide: predictable execution, flexible liquidation logic, granular control over transaction ordering, and the ability to capture MEV internally.

Enter Layer 3s and app-specific chains built on frameworks like Arbitrum Orbit. These specialized networks allow protocols to internalize MEV, customize economics, and optimize for specific use cases. For Layer 2 operators, providing the infrastructure and tooling for these specialized chains represents a new revenue stream that doesn't depend on low-margin transaction processing.

The strategic insight is clear: Layer 2 networks win by distributing their infrastructure outward and partnering with large platforms, not by competing solely on transaction costs.

The Sustainability Question: Can L2s Survive the Fee War?​

The fundamental tension facing Layer 2 networks in 2026 is whether any combination of alternative revenue models can compensate for vanishing transaction fees.

Consider the math: if transaction fees continue trending toward $0.001 and blob costs remain near zero, even processing millions of transactions daily generates minimal revenue. Base, despite its volume leadership, must find additional revenue sources to justify ongoing operations at scale.

The situation is complicated by persistent centralization concerns. Most Layer 2 networks remain far more centralized than they appear, with decentralization treated as a long-term goal rather than an immediate priority. This creates regulatory risk and questions about long-term value accrual—if a network is centralized, why should users trust it over traditional databases with "clever cryptography"?

Recent structural changes suggest Ethereum itself recognizes the problem. The Fusaka upgrade aims to "repair" the value capture chain between Layer 1 and Layer 2, requiring L2s to pay increased "tribute" to Ethereum mainnet. This redistribution helps Ethereum but further squeezes already-thin Layer 2 margins.

Revenue Models for 2026 and Beyond​

Looking forward, successful Layer 2 networks will likely adopt hybrid revenue strategies:

1. Volume Over Margin: Base's approach—processing massive transaction volumes at minimal per-transaction profit—can work if scale is achieved. Base's 1,000+ TPS at $0.01 fees generates more revenue than Arbitrum's 400 TPS at $0.20 fees.

2. Selective MEV Capture: Networks must balance MEV extraction with user experience. Arbitrum's exploration of MEV auctions that return value to users represents a middle path that generates revenue without alienating the community.

3. Enterprise Services: Professional support, deployment assistance, and customization services for institutional clients offer high-margin revenue that scales with client value rather than transaction count.

4. Ecosystem Revenue Sharing: Both mandatory (Arbitrum Orbit) and voluntary (Optimism Superchain) revenue-sharing models create network effects where Layer 2 success compounds through ecosystem participation.

5. Data Availability Markets: As blob pricing evolves, Layer 2 networks might introduce tiered data availability offerings—premium settlement guarantees for institutions, budget options for consumer applications.

By 2026, networks are expected to introduce revenue-sharing models, sequencer profit distribution, and yield tied to actual network usage, fundamentally shifting from transaction fees to participation economics.

The Path Forward​

The Layer 2 economic crisis is, paradoxically, a sign of technological success. Ethereum's scaling solutions have achieved their primary goal: making blockchain transactions affordable and accessible. But technological triumph doesn't automatically translate to business sustainability.

The networks that survive and thrive will be those that:

• Accept that transaction fees alone cannot sustain operations at $0.001 per operation
• Develop diversified revenue streams that align with actual value creation
• Balance centralization concerns with operational efficiency
• Build ecosystem network effects that compound value beyond individual transactions
• Serve institutional and enterprise clients willing to pay for infrastructure reliability

Base, Arbitrum, and Optimism are all experimenting with different combinations of these strategies. Base leads in gross revenue through volume, Arbitrum enforces economic alignment through licensing, and Optimism bets on open-source ecosystem growth.

The ultimate winners will likely be those that recognize the fundamental shift: Layer 2 networks are no longer just transaction processors. They're becoming infrastructure platforms, enterprise service providers, and ecosystem orchestrators. Revenue models must evolve accordingly—or risk becoming unsustainably cheap commodity services in a race to zero that nobody can afford to win.

For developers building on Layer 2 infrastructure, reliable node access and data indexing remain critical as these networks evolve their business models. BlockEden.xyz provides enterprise-grade API access across major Layer 2 networks, offering consistent performance regardless of underlying economic shifts.

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Sources​

• L2 Fees - Real-time fee tracking
• PayRam: Arbitrum vs. Optimism vs. Base comparison
• Coinlaw: Gas Fee Markets on Layer 2 Statistics 2025
• Investing.com: Ethereum's Layer 2 Paradox analysis
• Coinpaprika: Ethereum gas fees in 2026
• Cryptopolitan: Layer 2 Adoption 2026 Predictions
• The Block: 2026 Layer 2 Outlook
• Bankless: The Ethereum L2 Squeeze
• Medium: Base vs. Arbitrum vs. Optimism L2 war analysis
• arXiv: Quantifying MEV on L2s study
• Coin Metrics: Breaking Down Ethereum Blobs & EIP-4844
• IET Blockchain: Cost Optimization in Layer 2 Rollups via EIP-4844
• arXiv: Impact of EIP-4844 on Ethereum
• PANews: Open-source monetization debate
• Enterprise Ethereum Alliance: Scaling the Ethereum ecosystem
• Nethermind: The Future of Financial Infrastructure report
• Etherealize: Ethereum L2s for Institutions

Transaction fees on Ethereum Layer 2 networks have collapsed to as low as $0.001—a triumph for users, but an existential crisis for the blockchains themselves. As Base, Arbitrum, and Optimism race toward near-zero costs, the fundamental question haunting every L2 operator becomes unavoidable: how do you sustain a billion-dollar infrastructure when your primary revenue stream is approaching zero?

In 2026, this isn't theoretical anymore. It's the new economic reality reshaping Ethereum's scaling landscape.

The Fee Collapse: Victory Turned Crisis​

Layer 2 solutions were built to solve Ethereum's scalability problem—and by that measure, they've succeeded spectacularly. Transaction fees on leading L2s now range between $0.001 and $0.01, representing a 90-99% reduction compared to Ethereum mainnet. During peak congestion, when an Ethereum transaction might cost $50, Base or Arbitrum can execute the same operation for fractions of a penny.

But success has created an unexpected dilemma. The very achievement that makes L2s attractive to users—ultra-low fees—threatens their long-term viability as businesses.

The numbers tell the story. In the last six months of 2025, the top 10 Ethereum L2s generated $232 million in revenue from user transaction fees. While impressive in absolute terms, this figure masks growing pressure as blob-based data availability introduced by EIP-4844 squeezed rollup fees by 50-90% in many cases. When blob utilization remains low—as it has in early 2026—the marginal cost of posting data approaches zero, eliminating one of the few remaining justifications for charging users premium fees.

Arbitrum's Foundation reported gross margins topping 90% across four revenue streams in Q4 2025, with annualized profits around $26 million. But this performance came before the full impact of competing L2s, declining blob prices, and user expectations for ever-cheaper transactions. The margin compression is already visible: on Base, priority fees alone constitute approximately 86.1% of total daily sequencer revenue, averaging just $156,138 per day—hardly enough to justify billion-dollar valuations or sustain long-term infrastructure development.

The crisis intensifies when you consider the competitive dynamics. With over 60 Ethereum L2s now live and more launching monthly, the market resembles a race to the bottom. Any L2 that tries to maintain higher fees risks losing users to cheaper alternatives. Yet if everyone races to zero, nobody survives.

MEV: From Villain to Revenue Lifeline​

Maximal Extractable Value (MEV)—once crypto's most controversial topic—is rapidly becoming L2s' most promising revenue source as transaction fees evaporate.

MEV represents the profit that can be extracted by reordering, inserting, or censoring transactions within a block. On Ethereum mainnet, block builders and validators have long captured billions in MEV through sophisticated strategies like sandwich attacks, arbitrage, and liquidations. Now, L2 sequencers are learning to tap the same revenue stream—but with more control and less controversy.

Timeboost: Arbitrum's MEV Auction​

Arbitrum's Timeboost mechanism, launched in late 2025, represents the first major attempt to monetize MEV systematically on an L2. The system introduces a transparent auction for transaction ordering rights, allowing sophisticated traders to bid for the privilege of having their transactions included ahead of others.

In its first seven months, Timeboost generated over $5 million in revenue—a modest sum, but a proof of concept that sequencer-level MEV capture can work. Unlike opaque MEV extraction on mainnet, Timeboost returns this value to the protocol itself, rather than letting it leak to third-party searchers or remain hidden from users.

The model shifts the sequencer from mere transaction processor to "neutral auctioneer." Instead of the sequencer extracting MEV directly (which creates centralization concerns), it creates a competitive marketplace where MEV searchers bid against each other, with the protocol capturing the surplus.

Proposer-Builder Separation on L2s​

The architecture gaining the most attention for sustainable MEV capture is Proposer-Builder Separation (PBS), originally developed for Ethereum mainnet but now being adapted for L2s.

In PBS models, the sequencer's role splits into two functions:

• Builders construct blocks with optimized transaction ordering to maximize MEV capture
• Proposers (sequencers) select the most profitable block from among competing builders' proposals

This separation transforms the economics fundamentally. Rather than sequencers needing sophisticated MEV extraction capabilities in-house, they simply auction off the right to build blocks to specialized entities. The sequencer captures revenue through competitive block-building bids, while builders compete on their ability to extract MEV efficiently.

On Base and Optimism, cyclic arbitrage contracts already account for over 50% of on-chain gas consumption in Q1 2025. These "optimistic MEV" transactions represent economic activity that will continue regardless of user transaction fees—and L2s are learning to capture a share of that value.

Enshrined PBS (ePBS)—where PBS is built directly into the protocol rather than operated by third parties—offers even more potential. By embedding MEV capture mechanisms at the protocol level, L2s can guarantee that extracted value flows back to token holders, network participants, or public goods funding rather than leaking to external actors.

The challenge lies in implementation. Unlike Ethereum mainnet, where PBS has matured over years, L2s face design constraints around centralized sequencers, fast block times, and the need to maintain compatibility with existing infrastructure. But as Arbitrum's margins show 90%+ profitability even with minimal MEV capture, the revenue potential is impossible to ignore.

Data Availability: The Hidden Revenue Stream​

While much attention focuses on user-facing transaction fees, the economics of data availability (DA) have quietly become one of the most important competitive factors shaping L2 sustainability.

EIP-4844's introduction of "blobs"—dedicated data structures for rollup data—fundamentally altered L2 cost structures. Before blobs, L2s paid to post transaction data as calldata on Ethereum mainnet, with costs that could spike during network congestion. After EIP-4844, blob-based DA reduced posting costs by orders of magnitude: from roughly $3.83 per megabyte down to pennies in many cases.

This cost reduction is why L2 fees could collapse so dramatically. But it also revealed a critical dependency: L2s now rely on Ethereum's blob pricing mechanism, over which they have no control.

Celestia and Alternative DA Markets​

The emergence of dedicated DA layers like Celestia has introduced competition—and optionality—into L2 economics. Celestia charges approximately $0.07 per megabyte for data availability, roughly 55 times cheaper than Ethereum's blob pricing at comparable periods. For cost-conscious L2s, especially those processing high transaction volumes, this price differential is impossible to ignore.

By early 2026, Celestia had processed over 160 GB of rollup data, commanded roughly 50% market share in the non-Ethereum DA sector, and seen its daily blob fees grow 10x since late 2024. The platform's success demonstrates that DA is not just a cost center but a potential revenue stream for platforms that can offer competitive pricing, reliability, and integration simplicity.

The DA Fragmentation Question​

Yet Ethereum remains the "premium" option. Despite higher costs, Ethereum's blob DA offers unmatched security guarantees—data availability is secured by the same consensus mechanism protecting trillions in value. For high-value L2s serving financial applications, institutional users, or large enterprises, paying a premium for Ethereum DA represents insurance against catastrophic data loss or availability failures.

This creates a two-tier market:

• High-value L2s (Base, Arbitrum One, Optimism) continue using Ethereum DA, treating the cost as a necessary security expense
• Cost-sensitive L2s (gaming chains, experimental networks, high-throughput applications) increasingly adopt alternative DA layers like Celestia, EigenDA, or even centralized solutions

For L2s themselves, the strategic question becomes whether to remain pure Ethereum rollups or accept "validium" or hybrid models that sacrifice some security for dramatic cost reductions. The economics increasingly favor hybridization—but the brand and security implications remain contested.

Interestingly, some L2s are beginning to explore offering DA services themselves. If an L2 achieves sufficient scale and decentralization, it could theoretically provide data availability to other, smaller chains—creating a new revenue stream while strengthening its position in the ecosystem hierarchy.

Enterprise Licensing: The B2B Revenue Play​

While retail users obsess over transaction costs measured in fractions of pennies, the enterprise rollup phenomenon is quietly building a completely different business model—one where fees barely matter.

The year 2025 marked the emergence of "enterprise rollups": L2 infrastructure deployed by major institutions not primarily for retail users, but for controlled business environments. Kraken launched INK, Uniswap deployed UniChain, Sony introduced Soneium for gaming and media, and Robinhood integrated Arbitrum infrastructure to settle brokerage transactions.

These enterprises aren't launching L2s to compete for retail market share measured in transaction volume. They're deploying blockchain infrastructure to solve specific business problems: compliance management, settlement finality, interoperability with decentralized ecosystems, and customer experience differentiation.

The Enterprise Value Proposition​

For Robinhood, an L2 enables 24/7 stock trading and instant settlement—features impossible in traditional markets bound by business hours and T+2 settlement cycles. For Sony, blockchain-based gaming and media distribution unlocks new revenue models, cross-game asset interoperability, and community governance mechanisms that Web2 infrastructure cannot support.

Transaction fees in these contexts become largely irrelevant. Whether a trade costs $0.001 or $0.01 matters little when the alternative is multi-day settlement delays or the impossibility of certain transactions entirely.

The revenue model shifts from "fees per transaction" to "platform fees, licensing, and value-added services":

• Launch and Deployment Fees: Charges for spinning up customized L2 infrastructure, often ranging from hundreds of thousands to millions of dollars
• Managed Services: Ongoing operational support, upgrades, monitoring, and compliance assistance
• Governance and Permissions Management: Tools for enterprises to control who can interact with their chains, implement KYC/AML requirements, and maintain regulatory compliance
• Privacy and Confidentiality Features: ZKsync's Prividium framework, for example, offers enterprise-grade privacy layers that financial institutions require for sensitive transaction data

Optimism pioneered one such model with its Superchain architecture, which charges participants 2.5% of total sequencer revenue or 15% of sequencer profits to join the network of interoperable OP Stack chains. This isn't a user-facing fee—it's a B2B revenue share arrangement between Optimism and institutions deploying their own chains using OP Stack technology.

Private vs. Public L2 Economics​

The enterprise model also introduces a fundamental fork in L2 architecture: public versus private (or permissioned) chains.

Public L2s offer immediate access to existing users, liquidity, and shared infrastructure—essentially plugging into the Ethereum DeFi ecosystem. These chains rely on transaction volume and must compete on fees.

Private L2s allow institutions to control participants, data handling, and governance while still anchoring settlement to Ethereum for finality and security. These chains can charge entirely differently: access fees, SLA guarantees, white-glove service, and integration support rather than per-transaction costs.

The emerging consensus suggests that L2 providers will operate like cloud infrastructure companies. Just as AWS charges for compute, storage, and bandwidth with premium tiers for enterprise SLAs and support, L2 operators will monetize through service tiers, not transaction fees.

This model requires scale, reputation, and trust—attributes that favor established players like Optimism, Arbitrum, and emerging giants like Base. Smaller L2s without brand recognition or enterprise relationships will struggle to compete in this market.

The Technical Architecture of Sustainability​

Surviving the fee apocalypse requires more than clever business models—it demands architectural innovation that fundamentally changes how L2s operate and capture value.

Decentralizing the Sequencer​

Most L2s today rely on centralized sequencers: single entities responsible for ordering transactions and producing blocks. While this architecture enables fast finality and simple operations, it creates a single point of failure, regulatory exposure, and limits on MEV capture strategies.

Decentralized sequencers represent one of 2026's most important technical transitions. By distributing sequencing across multiple operators, L2s can:

• Enable staking mechanisms where sequencer operators must lock tokens, creating new token utility and potential revenue from slashing penalties
• Implement fair ordering and MEV mitigation strategies that credibly commit to user protection
• Reduce regulatory risks by eliminating single responsible entities
• Create opportunities for "sequencer-as-a-service" markets where participants bid for sequencing rights

The challenge lies in maintaining L2s' speed advantage while decentralizing. Networks like Arbitrum and Optimism have announced plans for decentralized sequencer sets, but implementation has proven complex. Fast block times (some L2s target 2-second finality) become harder to maintain with distributed consensus.

Yet the economic incentives are clear: decentralized sequencers unlock staking yields, validator networks, and MEV marketplaces—all potential revenue streams unavailable to centralized operators.

Shared Sequencing and Cross-L2 Liquidity​

Another emerging model is "shared sequencing," where multiple L2s coordinate through a common sequencing layer. This architecture enables atomic cross-L2 transactions, unified liquidity pools, and MEV capture across chains rather than within individual silos.

Shared sequencers could monetize through:

• Fees charged to L2s for inclusion in the shared sequencing service
• Captured MEV from cross-chain arbitrage and liquidations
• Priority ordering auctions across multiple chains simultaneously

Projects like Espresso Systems, Astria, and others are building shared sequencing infrastructure, though adoption remains early-stage. The economic model assumes that L2s will pay for sequencing services rather than operating their own, creating a new infrastructure market.

Modular Data Availability​

As discussed earlier, DA represents both a cost and potential revenue center. The modular blockchain thesis—where execution, consensus, and data availability separate into specialized layers—creates markets at each layer.

L2s optimizing for sustainability will increasingly mix and match DA solutions:

• High-security transactions use Ethereum DA
• High-volume, lower-value transactions use cheaper alternatives like Celestia or EigenDA
• Extremely high-throughput use cases might employ centralized DA with fraud proofs or validity proofs for security

This "data availability routing" requires sophisticated infrastructure to manage, creating opportunities for middleware providers who can optimize DA selection dynamically based on cost, security requirements, and network conditions.

What Comes Next: Three Possible Futures​

The L2 revenue crisis will resolve into one of three equilibria over the next 12-18 months:

Future 1: The Great Consolidation

Most L2s fail to achieve sufficient scale, and the market consolidates around 5-10 dominant chains backed by major institutions. Base (Coinbase), Arbitrum, Optimism, and a few specialized chains capture 90%+ of activity. These survivors monetize through enterprise relationships, MEV capture, and platform fees while maintaining token value through buybacks funded by diversified revenue.

Smaller L2s either shut down or become app-specific chains serving narrow use cases, abandoning general-purpose ambitions.

Future 2: The Service Layer

L2 operators pivot to infrastructure-as-a-service business models, earning revenue by selling sequencing, DA, and settlement services to other chains. The OP Stack, Arbitrum Orbit, zkSync's ZK Stack, and similar frameworks become the AWS/Azure/GCP of blockchain, with transaction fees representing a minor fraction of total revenue.

In this future, operating public L2s becomes a loss leader for selling enterprise infrastructure.

Future 3: The MEV Market

PBS and sophisticated MEV capture mechanisms mature to the point where L2s effectively become marketplaces for blockspace and transaction ordering rather than transaction processors. Revenue flows primarily from searchers, builders, and sophisticated market makers rather than end users.

Retail users enjoy free transactions subsidized by MEV capture from professional trading activity. L2 tokens gain value as governance over MEV redistribution mechanisms.

Each path remains plausible, and different L2s may pursue different strategies. But the status quo—relying primarily on user transaction fees—is already obsolete.

The Road Ahead​

The $0.001 fee crisis forces a long-overdue reckoning: blockchain infrastructure, like cloud computing before it, cannot survive on razor-thin transaction margins at scale. The winners will be those who recognize this reality first and build revenue models that transcend the per-transaction paradigm.

For users, this transition is overwhelmingly positive. Near-free transactions unlock applications impossible at higher fee levels: micro-payments, on-chain gaming, high-frequency trading, and IoT settlements. The infrastructure crisis is a crisis for blockchain operators, not blockchain users.

For L2 operators, the challenge is existential but solvable. MEV capture, enterprise licensing, data availability markets, and infrastructure-as-a-service models offer paths to sustainability. The question is whether L2 teams can execute the transition before their runways expire or their communities lose confidence.

And for Ethereum itself, the L2 revenue crisis represents validation of its rollup-centric roadmap. The ecosystem is scaling exactly as planned—transaction costs are approaching zero, throughput is skyrocketing, and the security of mainnet remains uncompromised. The economic pain is a feature, not a bug: a market-driven forcing function that will separate sustainable infrastructure from speculative experiments.

The fee war is over. The revenue war has just begun.

---

Sources:

• Layer 2 Adoption 2026 Predictions: What Will Shape Ethereum's Next Scaling Wave
• Ethereum's Layer 2 Paradox: Lower Fees, Bigger Questions for ETH Valuation
• VanEck's Ethereum Layer-2s Valuation Prediction by 2030
• Arbitrum (ARB) Deep Due Diligence Investment Report 2025
• 2026 Layer 2 Outlook | The Block
• Celestia's Competitive Edge in Data Availability: A Deep Dive
• Enterprise Rollups: The New Era of Ethereum Scaling
• How to Implement a Sequencer MEV Mitigation Strategy
• PBS Unpacked #2: How PBS is Expanding Across L2s

Three years ago, "modular blockchain" was a conference keynote buzzword. Today it is the architecture quietly routing hundreds of millions of transactions every day. In 2026, the specialized-layer thesis — separate execution, settlement, and data availability rather than bundling them in a single chain — has crossed from elegant whitepaper into measurable production infrastructure, with Celestia, EigenDA, and Avail carving out distinct market positions while Ethereum rewrites its own economics in response.

Somewhere right now, a quantum computer is processing its next error-corrected cycle — and with each iteration, the cryptographic foundations that secure trillions of dollars in Bitcoin and Ethereum grow marginally more fragile. Most people in crypto aren't paying attention. Project Eleven is betting $20 million that they'll eventually have to.

On February 11, 2026, a number that would have seemed impossible eighteen months earlier appeared on a blockchain explorer: tokenized US Treasury holdings crossed $10 billion for the first time. Three weeks later, the broader real-world asset market quietly crossed another threshold. By March 31, 2026, tokenized RWAs reached $19.32 billion in total market capitalization — a 256.7% surge from the $5.42 billion recorded at the start of 2025.

This was not a speculative rally driven by retail euphoria. It happened during the crypto market's worst quarter since FTX, when Bitcoin fell 22% and altcoins cratered 40-60%. While memecoins and AI tokens imploded, a different category of on-chain assets kept compounding. That divergence tells you everything about where institutional capital is actually going.

On April 20, 2026, Vitalik Buterin walked onto the stage at the Hong Kong Convention and Exhibition Centre for the annual Web3 Carnival and delivered one of the most technically pointed keynotes of his career. The headline from most outlets focused on his blunt dismissal of clone-chain L2s. But buried inside the speech — and in the months of research and Foundation announcements preceding it — was a far more consequential message: quantum computing has moved from theoretical concern to active engineering priority for Ethereum, and the window to prepare is shorter than the industry assumed.

This is the story of why that matters, what Ethereum is building to address it, and what it means for every protocol, wallet, and developer building on-chain today.

Overview​

Digital asset treasuries (DATs) are publicly listed corporations whose primary business model is to accumulate and manage crypto‑tokens such as ETH or SOL. They raise capital through stock offerings or convertible bonds and use the proceeds to purchase tokens, stake them to earn yield, and grow tokens per share via savvy financial engineering. DATs blend features of corporate treasuries, investment trusts and DeFi protocols; they let mainstream investors gain exposure to crypto without holding the coins directly and operate like “on‑chain banks.” The following sections synthesise the visions of four influential leaders—Tom Lee (Fundstrat/BitMine), Joseph Lubin (Consensys/SharpLink), Sam Tabar (Bit Digital) and Cosmo Jiang (Pantera Capital)—who are shaping this emerging sector.

Tom Lee – Fundstrat Co‑founder & BitMine Chairman​

Long‑term thesis: Ethereum as the neutral chain for the AI–crypto super‑cycle​

• In 2025 Tom Lee pivoted the former Bitcoin miner BitMine into an Ethereum treasury company. He argues that AI and crypto are the two major investment narratives of the decade and both require neutral public blockchains, with Ethereum offering high reliability and a decentralised settlement layer. Lee describes ETH’s current price as a “discount to the future”—he believes that the combination of institutional finance and artificial intelligence will eventually need Ethereum’s neutral public blockchain to operate at scale, making ETH “one of the biggest macro trades of the next decade”.
• Lee believes tokenised real‑world assets, stablecoins and on‑chain AI will drive unprecedented demand for Ethereum. In a Daily Hodl interview he said ETH treasuries added over 234 k ETH in one week, pushing BitMine’s holdings above 2 million ETH. He explained that Wall Street and AI moving on‑chain will transform the financial system and most of this will happen on Ethereum, hence BitMine aims to acquire 5 % of ETH’s total supply, dubbed the “alchemy of 5 %”. He also expects ETH to remain the preferred chain because of pro‑crypto legislation (e.g., CLARITY & GENIUS Acts) and described Ethereum as the “neutral chain” favoured by both Wall Street and the White House.

DAT mechanics: building shareholder value​

• In Pantera’s 2025 blockchain letter, Lee explained how DATs can create value beyond token price appreciation. By issuing stock or convertible bonds to raise capital, staking their ETH, using DeFi to earn yield and acquiring other treasuries, they can increase tokens per share and maintain a NAV premium. He views stablecoins as the “ChatGPT story of crypto” and believes on‑chain cash flows from stablecoin transactions will support ETH treasuries.
• Lee emphasises that DATs have multiple levers that make them more attractive than ETFs: staking yields, velocity (rapid issuance of shares to acquire tokens) and liquidity (ability to raise capital quickly). In a Bankless discussion he noted that BitMine moved 12 × faster than MicroStrategy in accumulating crypto and described BitMine’s liquidity advantage as critical for capturing a NAV premium.
• He also stresses risk management. Market participants must differentiate between credible leaders and those issuing aggressive debt; investors should focus on execution, clear strategy and risk controls. Lee warns that mNAV premiums compress as more companies adopt the model and that DATs need to deliver performance beyond simply holding tokens.

Vision for the future​

Lee predicts a long super‑cycle in which Ethereum underpins tokenised AI economies and digital asset treasuries become mainstream. He foresees ETH reaching US $10–12 k in the near term and much higher over a 10–15 year time horizon. He also notes that major institutions like Cathie Wood and Bill Miller are already investing in DATs and expects more Wall Street firms to view ETH treasuries as a core holding.

Joseph Lubin – Consensys Founder & SharpLink Chairman​

ETH treasuries as storytelling and yield machines​

• Lubin argues that Ethereum treasury companies are more powerful than Bitcoin treasuries because ETH is productive. By staking tokens and using DeFi, treasuries can generate yield and grow ETH per share, making them “more powerful than Bitcoin treasuries”. SharpLink converts capital into ETH daily and stakes it immediately, creating compounding growth.
• He sees DATs as a way to tell the Ethereum story to Wall Street. On CNBC he explained that Wall Street pays attention to making money; by offering a profitable equity vehicle, DATs can communicate ETH’s value better than simple messaging about smart contracts. While Bitcoin’s narrative is easy to grasp (digital gold), Ethereum spent years building infrastructure—treasury strategies highlight its productivity and yield.
• Lubin stresses that ETH is high‑powered, uncensorable money. In an August 2025 interview he said SharpLink’s goal is to build the largest trusted ETH treasury and keep accumulating ETH, with one million ETH merely a near‑term signpost. He calls Ethereum the base layer for global finance, citing that it settled over US $25 trillion in transactions in 2024 and hosts most real‑world assets and stablecoins.

Competitive landscape and regulation​

• Lubin welcomes new entrants into the ETH treasury race because they amplify Ethereum’s credibility; however, he believes SharpLink holds an advantage due to its ETH‑native team, staking know‑how and institutional credibility. He predicts ETFs will eventually be allowed to stake, but until then treasury companies like SharpLink can fully stake ETH and earn yield.
• In a CryptoSlate interview he noted that the supply–demand imbalance for ETH and daily purchases by treasuries will accelerate adoption. He emphasised that decentralisation is the direction of travel and expects both ETH and BTC to continue rising as the world becomes more decentralised.

SharpLink’s execution​

• SharpLink quietly shifted its focus from sports betting technology to Ethereum in early 2025. According to shareholder filings, it converted significant portions of its liquid reserves into ETH—176 270 ETH for $462.9 million in July 2025 and another 77 210 ETH for $295 million a day later. An August 2025 direct offering raised $400 million and a $200 million at‑the‑market facility, pushing SharpLink’s reserves beyond 598 800 ETH.
• Lubin says SharpLink accumulates tens of millions of dollars in ETH daily and stakes it via DeFi to generate yield. Standard Chartered analysts have noted that ETH treasuries like SharpLink remain undervalued relative to their holdings.

Sam Tabar – CEO of Bit Digital​

Rationale for pivoting to Ethereum​

• After profitably running a Bitcoin mining and AI infrastructure business, Sam Tabar led Bit Digital’s complete pivot into an Ethereum treasury and staking company. He sees Ethereum’s programmable smart‑contract platform, growing adoption and staking yields as capable of rewriting the financial system. Tabar asserts that if BTC and ETH had launched simultaneously, Bitcoin might not exist because Ethereum enables trustless value exchange and complex financial primitives.
• Bit Digital sold 280 BTC and raised around $172 million to purchase over 100 k ETH. Tabar has emphasised that Ethereum is no longer a side asset but the centerpiece of Bit Digital’s balance sheet and that the firm intends to continue acquiring ETH to become the leading corporate holder. The company announced a direct offering of 22 million shares priced at $3.06 to raise $67.3 million for further ETH purchases.

Financing strategy and risk management​

• Tabar is a strong proponent of using unsecured convertible debt rather than secured loans. He warns that secured debt could “destroy” ETH treasury companies in a bear market because creditors might seize the tokens when prices fall. By issuing unsecured convertible notes, Bit Digital retains flexibility and avoids encumbering its assets.
• In a Bankless interview he compared the ETH treasury race to Michael Saylor’s Bitcoin playbook but noted that Bit Digital is a real business with cash flows from AI infrastructure and mining; it aims to leverage those profits to grow its ETH holdings. He described competition among ETH treasuries as friendly but emphasised that mindshare is limited—companies must aggressively accumulate ETH to attract investors, yet more treasuries ultimately benefit Ethereum by raising its price and awareness.

Vision for the future​

Tabar envisions a world where Ethereum replaces much of the existing financial infrastructure. He believes regulatory clarity (e.g., the GENIUS Act) has unlocked the path for companies like Bit Digital to build compliant ETH treasuries and sees the staking yield and programmability of ETH as core drivers of future value. He also highlights that DATs open the door for public‑market investors who cannot buy crypto directly, democratizing access to the Ethereum ecosystem.

Cosmo Jiang – General Partner at Pantera Capital​

Investment thesis: DATs as on‑chain banks​

• Cosmo Jiang views DATs as sophisticated financial institutions that operate more like banks than passive token holders. In an Index Podcast summary he explained that DATs are evaluated like banks: if they generate a return above their cost of capital, they trade above book value. According to Jiang, investors should focus on NAV‑per‑share growth—analogous to free cash‑flow per share—rather than token price, because execution and capital allocation drive returns.
• Jiang argues that DATs can generate yield by staking and lending, increasing asset value per share and producing more tokens than simply holding spot. One determinant of success is the long‑term strength of the underlying token; this is why Pantera’s Solana Company (HSDT) uses Solana as its treasury reserve. He contends that Solana offers fast settlement, ultra‑low fees and a monolithic design that is faster, cheaper and more accessible—echoing Jeff Bezos’s “holy trinity” of consumer wants.
• Jiang also notes that DATs effectively lock up supply because they operate like closed‑end funds; once tokens are acquired, they rarely sell, reducing liquid supply and potentially supporting prices. He sees DATs as a bridge that brings tens of billions of dollars from traditional investors who prefer equities over direct crypto exposure.

Building the pre‑eminent Solana treasury​

• Pantera has been a pioneer in DATs, anchoring early launches such as DeFi Development Corp (DFDV) and Cantor Equity Partners (CEP) and investing in BitMine. Jiang writes that they have reviewed over fifty DAT pitches and that their early success has positioned Pantera as a first call for new projects.
• In September 2025 Pantera announced Solana Company (HSDT) with more than $500 million in funding, designed to maximize SOL per share and provide public‑market exposure to Solana. Jiang’s DAT thesis states that owning a DAT could offer higher return potential than holding tokens directly or via an ETF because DATs grow NAV per share through yield generation. The fund aims to scale institutional access to Solana and leverage Pantera’s track record to build the pre‑eminent Solana treasury.
• He emphasises that the timing is critical: digital asset equities have enjoyed a tailwind as investors search for crypto exposure beyond ETFs. However, he warns that excitement will invite competition; some DATs will succeed while others fail. Pantera’s strategy is to back high‑quality teams, filter for incentive‑aligned management and support consolidation (M&A or buybacks) in downside scenarios.

Conclusion​

Collectively, these leaders see digital asset treasuries as a bridge between traditional finance and the emerging token economy. Tom Lee envisions ETH treasuries as vehicles to capture the AI–crypto super‑cycle and aims to accumulate 5 % of Ethereum’s supply; he stresses velocity, yield and liquidity as key drivers of NAV premiums. Joseph Lubin views ETH treasuries as yield‑generating machines that tell the Ethereum story to Wall Street while pushing DeFi and staking into mainstream finance. Sam Tabar is betting that Ethereum’s programmability and staking yields will rewrite financial infrastructure and warns against secured debt, promoting aggressive yet prudent accumulation through unsecured financing. Cosmo Jiang frames DATs as on‑chain banks whose success depends on capital allocation and NAV‑per‑share growth; he is building the pre‑eminent Solana treasury to showcase how DATs can unlock new growth cycles. All four anticipate that DATs will continue to proliferate and that public‑market investors will increasingly choose them as vehicles for exposure to crypto’s next chapter.

The Blockchain Application Stanford Summit (BASS) kicked off the week of the Science of Blockchain Conference (SBC), bringing together innovators, researchers, and builders to explore the cutting edge of the ecosystem. Organizers Gil, Kung, and Stephen welcomed attendees, highlighting the event's focus on entrepreneurship and real-world applications, a spirit born from its close collaboration with SBC. With support from organizations like Blockchain Builders and the Cryptography and Blockchain Alumni of Stanford, the day was packed with deep dives into celestial blockchains, the future of Ethereum, institutional DeFi, and the burgeoning intersection of AI and crypto.

Dalia Maliki: Building an Orbital Root of Trust with Space Computer​

Dalia Maliki, a professor at UC Santa Barbara and an advisor to Space Computer, opened with a look at a truly out-of-this-world application: building a secure computing platform in orbit.

What is Space Computer? In a nutshell, Space Computer is an "orbital root of trust," providing a platform for running secure and confidential computations on satellites. The core value proposition lies in the unique security guarantees of space. "Once a box is launched securely and deployed into space, nobody can come later and hack into it," Maliki explained. "It's purely, perfectly tamper-proof at this point." This environment makes it leak-proof, ensures communications cannot be easily jammed, and provides verifiable geolocation, offering powerful decentralization properties.

Architecture and Use Cases The system is designed with a two-tier architecture:

• Layer 1 (Celestial): The authoritative root of trust runs on a network of satellites in orbit, optimized for limited and intermittent communication.
• Layer 2 (Terrestrial): Standard scaling solutions like rollups and state channels run on Earth, anchoring to the celestial Layer 1 for finality and security.

Early use cases include running highly secure blockchain validators and a true random number generator that captures cosmic radiation. However, Maliki emphasized the platform's potential for unforeseen innovation. "The coolest thing about building a platform is always that you build a platform and other people will come and build use cases that you never even dreamed of."

Drawing a parallel to the ambitious Project Corona of the 1950s, which physically dropped film buckets from spy satellites to be caught mid-air by aircraft, Maliki urged the audience to think big. "By comparison, what we work with today in space computer is a luxury, and we're very excited about the future."

Tomasz Stanczak: The Ethereum Roadmap - Scaling, Privacy, and AI​

Tomasz Stanczak, Executive Director of the Ethereum Foundation, provided a comprehensive overview of Ethereum's evolving roadmap, which is heavily focused on scaling, enhancing privacy, and integrating with the world of AI.

Short-Term Focus: Supporting L2s The immediate priority for Ethereum is to solidify its role as the best platform for Layer 2s to build upon. Upcoming forks, Fusaka and Glumpsterdom, are centered on this goal. "We want to make much stronger statements that yes, [L2s] innovate, they extend Ethereum, and they will have a commitment from protocol builders that Layer 1 will support L2s in the best way possible," Stanczak stated.

Long-Term Vision: Lean Ethereum and Real-Time Proving Looking further ahead, the "Lean Ethereum" vision aims for massive scalability and security hardening. A key component is the ZK-EVM roadmap, which targets real-time proving with latencies under 10 seconds for 99% of blocks, achievable by solo stakers. This, combined with data availability improvements, could push L2s to a theoretical "10 million TPS." The long-term plan also includes a focus on post-quantum cryptography through hash-based signatures and ZK-EVMs.

Privacy and the AI Intersection Privacy is another critical pillar. The Ethereum Foundation has established the Privacy and Scaling Explorations (PSC) team to coordinate efforts, support tooling, and explore protocol-level privacy integrations. Stanczak sees this as crucial for Ethereum's interaction with AI, enabling use cases like censorship-resistant financial markets, privacy-preserving AI, and open-source agentic systems. He emphasized that Ethereum's culture of connecting multiple disciplines—from finance and art to robotics and AI—is essential for navigating the challenges and opportunities of the next decade.

Sreeram Kannan: The Trust Framework for Ambitious Crypto Apps with EigenCloud​

Sreeram Kannan, founder of Eigen Labs, challenged the audience to think beyond the current scope of crypto applications, presenting a framework for understanding crypto's core value and introducing EigenCloud as a platform to realize this vision.

Crypto's Core Thesis: A Verifiability Layer "Underpinning all of this is a core thesis that crypto is the trust or verifiability layer on top of which you can build very powerful applications," Kannan explained. He introduced a "TAM vs. Trust" framework, illustrating that the total addressable market (TAM) for a crypto application grows exponentially as the trust it underwrites increases. Bitcoin's market grows as it becomes more trusted than fiat currencies; a lending platform's market grows as its guarantee of borrower solvency becomes more credible.

EigenCloud: Unleashing Programmability Kannan argued that the primary bottleneck for building more ambitious apps—like a decentralized Uber or trustworthy AI platforms—is not performance but programmability. To solve this, EigenCloud introduces a new architecture that separates application logic from token logic.

"Let's keep the token logic on-chain on Ethereum," he proposed, "but the application logic is moved outside. You can actually now write your core logic in arbitrary containers... execute them on any device of your choice, whether it's a CPU or a GPU... and then bring these results verifiably back on-chain."

This approach, he argued, extends crypto from a "laptop or server scale to cloud scale," allowing developers to build the truly disruptive applications that were envisioned in crypto's early days.

Panel: A Deep Dive into Blockchain Architecture​

A panel featuring Leiyang from MegaETH, Adi from Realo, and Solomon from the Solana Foundation explored the trade-offs between monolithic, modular, and "super modular" architectures.

• MegaETH (Modular L2): Leiyang described MegaETH's approach of using a centralized sequencer for extreme speed while delegating security to Ethereum. This design aims to deliver a Web2-level real-time experience for applications, reviving the ambitious "ICO-era" ideas that were previously limited by performance.
• Solana (Monolithic L1): Solomon explained that Solana's architecture, with its high node requirements, is deliberately designed for maximum throughput to support its vision of putting all global financial activity on-chain. The current focus is on asset issuance and payments. On interoperability, Solomon was candid: "Generally speaking, we don't really care about interoperability... It's about getting as much asset liquidity and usage on-chain as possible."
• Realo ("Super Modular" L1): Adi introduced Realo's "super modular" concept, which consolidates essential services like oracles directly into the base layer to reduce developer friction. This design aims to natively connect the blockchain to the real world, with a go-to-market focus on RWAs and making the blockchain invisible to end-users.

Panel: The Real Intersection of AI and Blockchain​

Moderated by Ed Roman of HackVC, this panel showcased three distinct approaches to merging AI and crypto.

• Ping AI (Bill): Ping AI is building a "personal AI" where users maintain self-custody of their data. The vision is to replace the traditional ad-exchange model. Instead of companies monetizing user data, Ping AI's system will reward users directly when their data leads to a conversion, allowing them to capture the economic value of their digital footprint.
• Public AI (Jordan): Described as the "human layer of AI," Public AI is a marketplace for sourcing high-quality, on-demand data that can't be scraped or synthetically generated. It uses an on-chain reputation system and staking mechanisms to ensure contributors provide signal, not noise, rewarding them for their work in building better AI models.
• Gradient (Eric): Gradient is creating a decentralized runtime for AI, enabling distributed inference and training on a network of underutilized consumer hardware. The goal is to provide a check on the centralizing power of large AI companies by allowing a global community to collaboratively train and serve models, retaining "intelligent sovereignty."

More Highlights from the Summit​

• Orin Katz (Starkware) presented building blocks for "compliant on-chain privacy," detailing how ZK-proofs can be used to create privacy pools and private tokens (ZRC20s) that include mechanisms like "viewing keys" for regulatory oversight.
• Sam Green (Cambrian) gave an overview of the "Agentic Finance" landscape, categorizing crypto agents into trading, liquidity provisioning, lending, prediction, and information, and highlighted the need for fast, comprehensive, and verifiable data to power them.
• Max Siegel (Privy) shared lessons from onboarding over 75 million users, emphasizing the need to meet users where they are, simplify product experiences, and let product needs inform infrastructure choices, not the other way around.
• Nil Dalal (Coinbase) introduced the "Onchain Agentic Commerce Stack" and the open standard X42, a crypto-native protocol designed to create a "machine-payable web" where AI agents can seamlessly transact using stablecoins for data, APIs, and services.
• Gordon Liao & Austin Adams (Circle) unveiled Circle Gateway, a new primitive for creating a unified USDC balance that is chain-abstracted. This allows for near-instant (<500ms) deployment of liquidity across multiple chains, dramatically improving capital efficiency for businesses and solvers.

The day concluded with a clear message: the foundational layers of crypto are maturing, and the focus is shifting decisively towards building robust, user-friendly, and economically sustainable applications that can bridge the gap between the on-chain world and the global economy.