Stablecoin payments below $200 can go tax-free: If Congress agrees

ambcrypto2025-12-21 tarihinde yayınlandı2025-12-21 tarihinde güncellendi

Özet

In a renewed bipartisan effort, U.S. lawmakers Max Miller and Steven Horsford have proposed a tax exemption for stablecoin transactions valued at $200 or below, aiming to provide clarity and consumer protection. This follows a previous failed attempt by Senator Cynthia Lummis in 2025 to introduce a similar exemption. Currently, the IRS treats cryptocurrency as property, subjecting it to capital gains tax. Meanwhile, banking lobbyists oppose the high yields offered by crypto exchanges on stablecoin deposits, arguing it threatens traditional banks. Industry leaders, including Gemini's co-founder, are defending the GENIUS Act against what they call anti-competitive overreach by banks. The outcome of both the tax proposal and the stablecoin yield debate remains uncertain.

The U.S. Congress is making another attempt at tax relief for low stablecoin transfers and crypto staking.

In a recent House proposal, lawmakers Max Miller (Ohio) and Steven Horsford (Nevada) sought tax exemptions for stablecoins valued at $200 or below.

Part of the draft read,

“The provision is intended to establish a per-transaction de minimis threshold of $200, consistent with the foreign currency transaction exception under section 988.”

In a statement, Rep. Miller said that the legislation was a “bipartisan effort” to ensure consumer protection.

“This bill would protect consumers making everyday purchases, ensure the rules are clear for innovators and investors, and strengthen compliance so everyone plays by the same rules.”

However, this was not the first time Congress had tried to push for U.S. crypto tax clarity.

Senator Lummis’ failed crypto tax plan

In July 2025, pro-Bitcoin Senator Cynthia Lummis floated a similar tax proposal that included a $300 exemption for small transactions.

She also advocated for tax deferral for staking and mining rewards during the amendment process of President Donald Trump’s Big Beautiful Bill. The exemption was to have an annual cap of $5,000 on crypto gains to avoid abuse.

However, the provisions didn’t make it to the final version of the bill after failing to reach the voting threshold. Some Democrats also opposed the proposal, arguing that it would result in a loss of government revenue.

Currently, the U.S. Internal Revenue Service (IRS) treats cryptocurrency as property, which can attract capital gains tax rates ranging from 10% to 37%.

For long-term investors, the tax rates are relatively favorable, ranging from 0% to 20%.

It remains to be seen whether the latest tax proposals will be included in the crypto market structure bill.

Stablecoin yield fight

Even so, the stablecoin yield paid out by crypto exchanges like Gemini and Coinbase, among others, continues to be opposed by the banking lobby.

According to them, it threatens community banks. They argued that deposit capital will shift to stablecoins in search of the 3%-4% rewards, rather than banks’ less than 1% yield on average checking accounts.

However, Gemini co-founder Tyler Winklevoss and other industry players are also pushing back against the banksters’ anti-competitive ‘overreach.’

Reacting to a collective industry letter to Congress to defend the stablecoin law GENIUS Act, Winklevoss stated,

“We are not going to let them (banks) get away with this. That’s why we signed onto this letter with 125+ other companies to defend the GENIUS Act as it is written.”


Final Thoughts

  • Congress has revived the crypto tax exemptions for low stablecoin transfers.
  • However, the fight against stablecoin rewards issued by exchanges continues.

İlgili Sorular

QWhat is the proposed de minimis threshold for tax exemptions on stablecoin transfers in the recent House proposal?

AThe proposed de minimis threshold is $200 or below for stablecoin transfers.

QWhich two lawmakers are behind the recent proposal for tax exemptions on small stablecoin transactions?

AThe lawmakers are Max Miller from Ohio and Steven Horsford from Nevada.

QWhat was the outcome of Senator Cynthia Lummis's similar crypto tax proposal in July 2025?

ASenator Lummis's proposal, which included a $300 exemption for small transactions and tax deferral for staking and mining rewards, failed to reach the voting threshold and was not included in the final version of the bill.

QWhy are banking lobbies opposing the stablecoin yields offered by exchanges like Gemini and Coinbase?

ABanking lobbies argue that stablecoin yields threaten community banks because deposit capital may shift to stablecoins seeking 3%-4% rewards, compared to banks' average checking account yields of less than 1%.

QHow does the U.S. Internal Revenue Service (IRS) currently treat cryptocurrency for tax purposes?

AThe IRS treats cryptocurrency as property, which can attract capital gains tax rates ranging from 10% to 37% for short-term gains and 0% to 20% for long-term gains.

İlgili Okumalar

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit5 dk önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit5 dk önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit10 dk önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit10 dk önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit10 dk önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit10 dk önce

İşlemler

Spot
活动图片