Optimism Proposes Using 50% of Superchain Revenue for OP Token Buybacks

TheNewsCryptoPublicado a 2026-01-09Actualizado a 2026-01-09

Resumen

Optimism has proposed a major shift in its tokenomics by allocating 50% of Superchain revenue to monthly OP token buybacks, pending community approval. If passed, the program will begin in February 2026, using sequencer fees to purchase OP tokens via an OTC provider. The purchased tokens will be returned to the treasury, not immediately burned or sold, with future governance deciding their use. This initiative aims to tie OP’s value directly to ecosystem usage and economic activity, reflecting Optimism’s significant role in the L2 space, where it holds 61.4% of the fee market share. The proposal has sparked debate over combining buybacks and expanded treasury discretion in a single vote. A governance call is scheduled for January 12, with a formal vote on January 22.

Optimism has proposed a major change to how its ecosystem uses its revenue. The plan is to buy back the OP tokens every month by using 50% of its Superchain revenue. If the Community approves this plan, Optimism is planned to start in February 2026. This makes a major shift in OP’s Role from being just a governance token to a token that is directly tied to the usage and revenue of the Ecosystem.

How Optimism Plans to Turn Superchain Fees Into OP Token Demand

The Buyback will happen from the revenue earned by the Superchain from the Sequencer fees. Over the past years, these chains have generated over 5,800 ETH in revenue. So under the proposal, 50% of the revenue will be used to buy OP tokens. Purchases will be made monthly through the OTC Provider. The bought OP tokens will be sent back to the treasury. This will be paused if monthly revenue drops below $200,000. These treasury tokens would not be burned or sold immediately. The Governance would later decide whether to burn or use them for staking and ecosystem incentives.

The reason for this new plan is to make the OP’s value reflect its real economic activity instead of revenue sitting unused in the treasury. Optimism and Superchain agave become dominant players in layer-2. 61.4% of the L2 fee market share and 13% of all on-chain transactions are where the most L2 economic activity is happening.

The Foundation will have the limited discretion to manage remaining ETH. They can use it to generate yield and support ecosystem development. This reduces slow governance overhead while keeping spending within set rules. The Staking partnerships have already generated yield and aim to strengthen OP mainnet’s institutional appeal.

There has been some debate going on for the community members because the proposal combines OP buybacks and expanded treasury discretion in one vote. The Critics argue that these should be voted on separately to avoid bias from the price expectations. The community discussion is going on, a governance call is scheduled for Jan 12, and a formal vote happens on Jan 22. Once it is approved, the buyback will begin in February and the program will run for 12 months.

Highlighted Crypto News:

A Bearish Wall Looms Over BONK: Fade Lower or Fight Back for Gains?

TagsOptimismsuperchain

Preguntas relacionadas

QWhat is the main change proposed by Optimism regarding its Superchain revenue?

AOptimism has proposed using 50% of its Superchain revenue to buy back OP tokens every month.

QWhen is the proposed buyback program planned to begin if approved by the community?

AThe buyback program is planned to start in February 2026 if the community approves the proposal.

QWhat is the source of the revenue that will be used for the OP token buybacks?

AThe buybacks will be funded from the revenue earned by the Superchain from sequencer fees.

QWhat will happen to the purchased OP tokens after they are bought back?

AThe purchased OP tokens will be sent back to the treasury, and governance will later decide whether to burn them or use them for staking and ecosystem incentives.

QWhat is the minimum revenue threshold that would pause the monthly buyback program?

AThe monthly buyback program will be paused if the monthly revenue drops below $200,000.

Lecturas Relacionadas

GitHub, Transfixed by AI

On the night of February 9th, GitHub suffered a major outage caused by a simple configuration change—reducing a cache refresh interval from 12 to 2 hours—that triggered a cascade of failures. This was not an isolated event, but part of a broader pattern. In early 2026, GitHub experienced at least 8 major incidents, failing to meet its promised 99.9% availability. These outages stemmed from structural issues: explosive growth in load, tight service coupling, and insufficient protection against abnormal traffic. This unprecedented load is driven by AI Agents. In 2025, GitHub handled ~1 billion commits. By 2026, weekly commits reached 275 million, projecting to ~14 billion for the year—a 14x increase. AI tools like Claude Code now contribute 4.5% of all public repository commits, with weekly submissions surging 25x in just three months. AI-generated pull requests jumped from 4 million to 17 million per month in half a year. Unlike human developers, AI Agents work continuously, generating commits at a scale that overwhelms infrastructure designed for human rhythms. The surge also shattered GitHub's business model. Copilot's flat-rate pricing, based on assisting human developers, became unsustainable as Agentic AI sessions consumed resources worth hundreds of dollars for a few dollars in fees. In response, GitHub imposed usage limits and, by June 1st, shifted to a pay-per-use "AI Credits" system. Facing this new reality, GitHub realized a 10x scaling plan was insufficient. It announced a need to *redesign* its architecture for 30x current scale—decoupling services, adding fault isolation, and improving change management to prevent cascading failures. Other platforms like Stripe and AWS are facing similar challenges with AI Agents. Fundamentally, GitHub is transitioning from a human collaboration platform to an "exhaust pipe" for automated AI workflows. Its detailed post-mortem reports aim to maintain trust during this turbulent rebuild. The February outage was not just a technical glitch, but a signal of the software industry's entry into a new, AI-driven era.

marsbitHace 7 min(s)

GitHub, Transfixed by AI

marsbitHace 7 min(s)

Both Suffer Massive Losses Exceeding $90 Billion, Which Is in Greater Peril: Strategy or Bitmine?

Facing massive paper losses exceeding $90 billion each amidst a sharp market downturn, "Digital Asset Treasury" (DAT) giants Strategy and Bitmine find themselves in a precarious position, but with different underlying risks. Strategy, heavily invested in Bitcoin (BTC), faces significant financial strain. Its strategy relies heavily on debt, including convertible notes and preferred stock (STRC) requiring substantial dividend payments. With its cash reserves dwindling and BTC offering no staking yield for cash flow, Strategy's high leverage makes it vulnerable. A continued price decline could force asset sales to meet obligations, potentially creating a negative feedback loop. Its market value has already fallen sharply. In contrast, Bitmine, an Ethereum (ETH) holder, appears on firmer financial ground. It primarily funds its purchases through equity offerings (like ATM programs), avoiding debt pressure. It also generates income by staking a large portion of its ETH holdings. While not immune to market drops and shareholder dilution concerns, Bitmine maintains more flexibility, recently announcing a new preferred share offering to raise further capital. The core divergence lies in their financing: Bitmine uses equity (investor money), while Strategy uses debt (borrowed money). Consequently, Bitmine currently faces less immediate liquidity pressure than Strategy, which must navigate the dual challenge of servicing debt/dividends and a declining core asset (BTC) price.

marsbitHace 14 min(s)

Both Suffer Massive Losses Exceeding $90 Billion, Which Is in Greater Peril: Strategy or Bitmine?

marsbitHace 14 min(s)

Where the AI Bubble Really Is: Which Layer of Players Are Naked

AI Bubble: Where It Really Is and Who's Swimming Naked This analysis dissects the AI industry not as a single entity but as a five-layer pyramid, arguing that bubbles are concentrated in specific tiers, not uniformly distributed. **Key Distinction from the 2000 Dot-com Bubble:** Unlike 2000, where companies had stock prices before revenue, today's leading AI players have massive, contract-backed revenue driving their valuations. Core infrastructure demand is real, with every GPU running at full capacity for paying customers. **The Five-Layer Pyramid & Bubble Assessment:** * **L0 (Fab/Manufacturing) & Top L4 (Leading AI Apps): NO BUBBLE.** Companies like TSMC, NVIDIA, major cloud providers (Microsoft, Google, Meta, Amazon), and top AI labs have real revenues and orders. Supply is tightly constrained by TSMC's disciplined capacity control and physical limits like power/land for data centers, preventing a supply glut. * **L1 (Memory): BATTLEGROUND.** Sky-high HBM margins could signal a new structural cycle or a classic "boom before bust." The oligopoly of three major players may enforce supply discipline, making this a high-stakes bet. * **L2 (Interconnect/Optical Modules): BUBBLE TERRITORY.** Companies like Lumentum and AAOI have seen stock surges (4-10x) far outpacing revenue growth. This hardware segment has lower physical barriers to expansion than fabs, allowing speculation. It mirrors the 2000 bubble's epicenter—optics. * **L3 (Infrastructure/"GPU Landlords"): VULNERABLE.** GPU leasing companies profit from the current compute shortage but own no long-term moat. Their business model relies on a temporary bottleneck that will ease as big tech expands and new tech (e.g., potential space-based data centers) emerges. * **L4 Long Tail (VC-backed Startups): STRONG BUBBLE SIGNALS.** VC funding concentration in AI is twice that of the 1999 peak. Many startups with little revenue use the valuation logic of successful giants to justify their own, creating high risk of a "valuation crunch" when funding dries up. **Critical Risks to Monitor:** 1. **GPU Depreciation & Accounting:** Companies extending the assumed useful life of GPUs artificially boost profits. The true economic life depends on future generational leaps from NVIDIA. 2. **"GPU Credit" & Off-Balance-Sheet Leverage:** Emerging structures where shell companies borrow to buy GPUs and lease them out (with chipmakers sometimes investing) move debt off major balance sheets. This echoes the "vendor financing" of 2000 and the securitization risks of 2008, though currently small-scale. 3. **TSMC Abandoning Caution:** If the primary supply bottleneck (TSMC's conservative capacity planning) breaks, runaway supply could trigger a bust. 4. **Algorithmic Efficiency Breakthrough:** A major leap in software efficiency could drastically reduce the need for raw compute hardware, undermining the investment thesis. **Conclusion:** The AI boom is expensive and has frothy areas, but its core is underpinned by real demand and physical supply constraints. The bubble risk is layered: most present in optical components, GPU leasing, and the long-tail startup ecosystem, while the foundational chip manufacturing and leading application layers remain relatively solid—for now.

marsbitHace 27 min(s)

Where the AI Bubble Really Is: Which Layer of Players Are Naked

marsbitHace 27 min(s)

Trading

Spot
Futuros
活动图片