StableChain launches mainnet with USDT gas fees, dedicated governance token

cointelegraphPubblicato 2025-12-08Pubblicato ultima volta 2025-12-08

Introduzione

StableChain, a Tether-backed protocol, has launched its mainnet as a new layer-1 blockchain designed specifically for stablecoin transactions. It uses USDT for gas fees, eliminating the need for volatile assets. The launch includes a new governance foundation and a native STABLE token, separating network security from payment flows. The project follows a $28 million seed round and a pre-deposit campaign that attracted over $2 billion. This expansion is part of a broader trend of building dedicated blockchains for stablecoin payments, as seen with other projects like Plasma and Circle's upcoming Arc network, driven by the stablecoin market's growth to over $308 billion.

Tether-backed Stable protocol has launched its USDT-powered blockchain, StableChain, alongside a new governance foundation and a native token.

According to the protocol, the new layer-1 network is designed for stablecoin transactions and relies on Tether’s (USDT) for gas fees payments, removing the need for volatile assets to process payments.

Alongside the mainnet debut, Stable introduced the Stable Foundation and the STABLE governance token on Monday, separating network security from payment flows settled in USDT.

The rollout follows a pre-deposit campaign that drew more than $2 billion from over 24,000 wallets. It also comes on the heels of a $28 million seed round backed by crypto exchange Bitfinex, Hack VC and other investors, including Tether CEO Paolo Ardoino, who is also listed as an adviser to the project.

The launch expands the stablecoin infrastructure footprint of Bitfinex and Tether, which share the iFinex parent company, and extends USDT’s utility as a core element of the network’s design.

Brian Mehler, CEO of Stable, told Cointelegraph that the company has “maintained frequent contact with governing bodies overseeing the implementation of stablecoin and payments guardrails worldwide.”

Related: Circle and Bybit deepen USDC partnership as stablecoin nears $80B

Stablecoins’ role in digital payments continues to expand

The rise of stablecoins — digital tokens designed to maintain a steady value, often pegged to the US dollar — has pushed banks, payment companies and remittance providers such as Western Union to explore new strategies.

However, most stablecoins still run on blockchains that were not built for fast, low-cost payments. For example, Ethereum, home of the majority of the stablecoin supply, can take around three minutes to finalize transactions.

These constraints have helped drive interest in blockchains engineered specifically for stablecoin settlement.

In February, stablecoin startup Plasma raised $24 million to build a new blockchain for USDT in a funding round led by Framework Ventures and backed by Bitfinex, Peter Thiel and Tether CEO Paolo Ardoino. Plasma’s mainnet beta went live on Sept. 25, launching alongside its native XPL token

In August, Circle announced plans to launch Arc, an EVM-compatible layer-1 blockchain designed for enterprise-grade stablecoin payments, FX and capital markets, later this year.

The following month, payment giant Stripe disclosed plans to launch a new layer-1 network called Tempo, after CEO Patrick Collison said that existing blockchains are “not optimized” to handle the growing stablecoin and crypto activity moving through Stripe’s platform.

According to DefiLlama data, the stablecoin market capitalization has grown to about $308.45 billion from $198.76 billion a year ago, a roughly 55% increase over the period.

Stablecoin market capitalization. Source: DefiLlama

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Analyzing the Impact of AI on Economic Growth and Productivity

**Title: Analyzing AI's Impact on Economic Growth and Productivity** This article examines three contrasting views on AI's influence on economic growth and productivity. **The Optimistic View** posits that AI, especially through automating R&D ("recursive self-improvement"), could dramatically accelerate growth, even triggering a technological "singularity" with explosive, potentially infinite, economic expansion. **The Moderate/Mainstream View** acknowledges AI's productivity benefits but emphasizes significant real-world constraints that could limit its impact. These include: limited cost savings per task, structural ceilings on which jobs and industries are "exposed" to AI, adoption bottlenecks (e.g., compute, energy, regulatory hurdles), and the "weak link" effect where non-automatable tasks cap overall gains. Consequently, the realized AI dividend may be far lower than optimistic projections, with estimates typically ranging from 0.1% to 1.3% annual productivity growth. **The Pessimistic View** stems from two strands. The first aligns with the moderate view but applies extremely conservative assumptions about task exposure and efficiency gains, yielding minimal projected impact. The second introduces a demand-side critique: if AI primarily replaces rather than augments labor, it could depress labor's share of income, weaken consumer demand, and create a "demand trap" that ultimately stifles growth, unless offset by redistribution policies. **The authors' assessment** is nuanced: * **Short-term (1-2 years):** AI will support growth primarily through investment spending, not significant productivity gains. * **Medium-term (3-5 years):** Three potential paths emerge based on AI demand and bottleneck severity: 1. **"Optimistic Path":** High demand, few bottlenecks. Rapid productivity gains but risk of major job displacement and social conflict without redistribution. 2. **"Moderate Path" (most likely):** High demand but significant, surmountable bottlenecks. Leads to moderate productivity gains, financial market volatility (K-shaped returns), and sectoral job losses. 3. **"Pessimistic Path":** Low demand or severe bottlenecks. Minimal productivity and growth impact, triggering financial market corrections but allowing a smoother societal transition with less labor disruption. * **Long-term:** AI holds potential for a major productivity revolution and prosperity. The conclusion stresses that no path is smooth. Technologically "optimistic" outcomes could be socially detrimental, while "pessimistic" technological diffusion might be more socially stable. Policymakers must monitor developments and prepare balanced responses to manage economic, financial, and social sustainability.

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