# Ethereum’s Fusaka Upgrade and PeerDAS: A Financial Analysis of Scaling Ahead of Demand

*Scalability without value capture turns Ethereum into a utility, not a capital asset.*

By [Jesus Crypto Plaza 🌳](https://paragraph.com/@cryptoplaza) · 2025-11-06

fusaka, ethereum, blobs

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Introduction: The Missing Economic Lens in Ethereum’s Governance
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Ethereum’s development philosophy has long prioritized _technical progress_ — scalability, decentralization, and security — while rarely addressing how these protocol upgrades affect **ETH’s economic equilibrium**.  
Each major change, from EIP-1559 to Dencun and now Fusaka, reshapes the relationship between **supply and demand for ETH**, yet the Foundation’s upgrade process largely omits any financial assessment of these shifts.

The upcoming **Fusaka** upgrade and its key component, **PeerDAS (EIP-7594)**, mark another critical step in Ethereum’s scaling roadmap. PeerDAS introduces a new networking protocol that enables nodes to verify data availability through _sampling_ rather than downloading full blobs. This innovation allows Ethereum to raise its per-block blob limit — increasing throughput for Layer 2 (L2) rollups while preserving security and decentralization.

But from a financial standpoint, PeerDAS could also amplify a troubling dynamic: **expanding supply (blockspace and data capacity) ahead of real demand**, which risks eroding the economic value captured by ETH itself.

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The Blob Fee Market: A New Market That Isn’t Paying Off
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When **EIP-4844 (Proto-Danksharding)** launched with Dencun in early 2024, it introduced a dedicated _blob fee market_ for rollups. The idea was simple: rollups would post their compressed transaction data to Ethereum L1 as _blobs_, paying fees in ETH for data availability — a new source of network revenue and potential ETH burn.

Initially, blob fees surged. The market was active, utilization high, and fees per blob reached meaningful levels. But this excitement was short-lived.

### The Data Speaks

Recent Dune Analytics dashboards show that:

*   **Blob submission fees** have fallen dramatically since April 2024.
    
*   The **blob base fee** has collapsed, often nearing the protocol minimum.
    
*   **Utilization** of blob space remains far below the target.
    

In practice, blob submissions — once seen as a future fee engine — now contribute **negligible revenues** to Ethereum. The network successfully became cheaper and more scalable for rollups, but **failed to convert that success into financial value for ETH holders**.

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PeerDAS and the Economics of Oversupply
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PeerDAS improves technical efficiency by allowing nodes to verify blob data through _sampling_. This reduces per-node bandwidth and storage requirements, enabling Ethereum to safely raise the blob target per block (from 9 → 15 → 21 under Fusaka’s BPO1 and BPO2 upgrades).

However, this increase in supply collides with a stagnant demand curve.

### Supply Expansion Without Demand Growth

The current blob market is already underutilized. Increasing blob capacity again — without a proportional increase in rollup demand — will likely:

*   Push blob fees even lower,
    
*   Reduce ETH burned through blob transactions, and
    
*   Further weaken the monetary premium of ETH.
    

This dynamic mirrors classic _supply-side inflation_: a growing capacity of blockspace and data availability with insufficient usage to sustain prices. In economic terms, Ethereum is **front-loading supply**, hoping that future adoption will justify it.

### The Illusion of Growth

From a technical viewpoint, more blobs per block look like progress. From a financial viewpoint, it resembles overproduction in a market with price-inelastic demand. The equilibrium shifts to lower prices — great for users and rollups, but detrimental for ETH as a value-accruing asset.

> Ethereum is scaling _ahead of demand_, not _because of demand_ — and the fee market reveals it.

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Value Capture and ETH’s Monetary Equilibrium
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ETH’s economic value depends on two key channels:

1.  **Demand for ETH** – as gas for transactions, collateral for staking, and fee currency for L2 submissions.
    
2.  **Supply reduction** – through burning of base fees (EIP-1559) and net issuance after staking rewards.
    

If blob submissions are cheap and infrequent:

*   **Less ETH is demanded** for fees;
    
*   **Less ETH is burned** to offset issuance;
    
*   The token’s _real yield_ to holders and stakers declines.
    

Ethereum, paradoxically, is becoming a **cheaper and more efficient settlement layer**, but one that **captures less of the value it enables**. The growing success of L2 ecosystems (Base, Arbitrum, Optimism, zkSync) has not translated into ETH demand or fee revenue, because the cost of interacting with L1 — the price signal that underpins ETH’s monetary role — has collapsed.

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Technical Efficiency vs. Economic Efficiency
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Technically, PeerDAS is a masterpiece of protocol design:

Dimension

Pre-PeerDAS

Post-PeerDAS

Per-node bandwidth

High (each node downloads all blobs)

Low (sampling only)

Total network data

Moderate

Slightly higher (erasure coding overhead)

Scalability

Limited by node bandwidth

Greatly improved

Decentralization pressure

Rising

Reduced

Fee capture for ETH

Neutral / declining

Likely further declining

In other words, **PeerDAS makes Ethereum technically leaner but economically thinner**.  
The total data availability throughput may multiply, but the value captured per unit of throughput — denominated in ETH fees burned — is shrinking.

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Ethereum’s Strategic Blind Spot
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The Foundation’s roadmap continues to treat economic analysis as secondary.  
Each EIP is rigorously reviewed for _security_, _implementation_, and _decentralization_, but **never for its impact on the token’s financial equilibrium**.

This is a strategic blind spot. Monetary equilibrium — the balance between ETH supply (issuance minus burn) and demand (fees and staking) — is what ultimately determines ETH’s value.  
Neglecting it risks turning Ethereum into a _high-throughput public utility_ that benefits users but not the asset that secures it.

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Policy Implications: When to Scale, and When Not To
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From a financial perspective, scaling should not be unconditional.  
It should respond to **utilization thresholds** — expanding capacity only when demand consistently exceeds supply (e.g., >80 % of blob target for several epochs). Otherwise, every new increase dilutes scarcity and compresses fees.

Possible mitigations:

*   **Dynamic scaling policy:** blob capacity increases only when network utilization sustains high levels.
    
*   **Fee floor or adjustment factor:** introduce a minimal base fee to preserve burn value.
    
*   **Demand linkage mechanisms:** align L2 fee markets or sequencer staking with ETH demand (e.g., require ETH bonding or partial payment in ETH).
    

These mechanisms would allow Ethereum to maintain its long-term scalability vision **without undermining the monetary soundness of ETH**.

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Conclusion: Scaling Without Value Is Not Sustainable
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PeerDAS and the Fusaka upgrade represent real technical progress — the network becomes lighter, faster, and more scalable. But economically, Ethereum is drifting into an equilibrium of **abundant capacity and vanishing fees**.

> Scalability without value capture turns Ethereum into a utility, not a capital asset.

If the network continues to expand blob supply without binding it to genuine demand, ETH risks losing its reflexive monetary properties — the self-reinforcing loop between usage, fee burn, and scarcity.  
Ethereum’s challenge for the coming era is not _how_ to scale, but _how to ensure that scaling strengthens the asset that secures it._

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*Originally published on [Jesus Crypto Plaza 🌳](https://paragraph.com/@cryptoplaza/ethereums-fusaka-upgrade-and-peerdas-a-financial-analysis-of-scaling-ahead-of-demand)*
