IRS proposes electronic crypto tax forms, but what about the staking tax issue?

ambcryptoPublicado a 2026-03-06Actualizado a 2026-03-06

Resumen

The U.S. Treasury and IRS have proposed requiring crypto brokers to use electronic delivery for tax forms by default, eliminating the costly and burdensome practice of mailing paper copies. This aims to streamline tax reporting for exchanges with large user bases. However, a major unresolved issue remains the double taxation of crypto staking rewards. Currently, the IRS treats staking rewards as taxable income upon receipt and also applies capital gains tax when the assets are later sold at a profit. Lawmaker Mike Carey is urging the IRS to review and resolve this issue to prevent driving investors to more lenient offshore jurisdictions. The IRS has indicated it will brief lawmakers on its ongoing review of staking tax treatment.

The U.S. Treasury and the Internal Revenue Service (IRS), the tax watchdog, have proposed that crypto brokers use default electronic delivery for crypto tax forms for customers.

In a bid to overhaul its crypto tax reporting regime, the IRS seems ready to reduce the compliance burden for brokers (exchanges and other crypto platforms).

Currently, the IRS requires brokers to submit two crypto tax forms, one to the regulator and another to the customer.

For customers who haven’t signed up for email, their paper tax forms are physically mailed. If an exchange handles over a million users, they have to send +1 million paper crypto tax forms via physical mail per year for the same – An overwhelming cost and compliance burden.

Under the latest proposal, the IRS seeks to stop offering paper copies entirely and have crypto tax forms delivered by email by default. Stakeholders have 60 days to provide feedback on the proposal before the IRS issues formal guidance.

Will crypto staking tax be resolved?

While the push for a crypto tax reporting regime may be positively welcomed by brokers, there are other unresolved issues too. For example, U.S investors still face double taxation for crypto staking rewards.

Currently, the IRS treats crypto staking rewards as income tax guidelines. As such, if an investor receives 1 Ethereum [ETH] as a staking reward, the value (currently at $2000) will trigger an income tax immediately when you receive it.

At the same time, if you hold it and offload it later, say, when ETH surges to $4k, capital gains tax will also apply.

U.S lawmaker Mike Carey has been pushing the U.S Treasury and the IRS to clarify and offer relief on crypto staking taxes. In a recent House committee hearing, Carey sought a similar direction from IRS officials.

“America needs to be the crypto capital of the world. Our tax code needs to reflect that priority, especially for crypto stakers and miners.”

In response, Frank Bisignano, the IRS’s CEO, said he will soon brief the legislator on the ongoing reviews and the way forward for treating crypto staking rewards for tax purposes.

It remains to be seen whether the said IRS review will offer miners and stakers tax relief. However, critics have argued that double taxation will likely push more investors to offshore jurisdictions with more lenient crypto staking tax regimes.


Final Summary

  • The IRS has proposed an overhaul of the crypto tax reporting regime that seeks to scrap out mailing of paper-based crypto tax forms and opt for e-mail by default.
  • Congressman Mike Carey is pushing the IRS to table crypto tax reviews to resolve the current double taxation of mining and staking rewards.

Preguntas relacionadas

QWhat is the main proposal from the IRS regarding crypto tax forms?

AThe IRS has suggested that crypto brokers should use default electronic delivery (email) for crypto tax forms to customers, eliminating the requirement for physical paper copies.

QWhy is the current system of mailing paper tax forms a burden for large crypto exchanges?

AExchanges with over a million users are required to mail more than a million paper forms annually, which creates a significant compliance and cost burden.

QWhat is the 'double taxation' issue U.S. crypto investors face with staking rewards?

AStaking rewards are taxed as income at the time they are received, and then if the asset is sold later at a higher price, a capital gains tax is also applied to the profit.

QWho is the U.S. lawmaker pushing for clarity and relief on crypto staking taxes?

ACongressman Mike Carey has been urging the U.S. Treasury and the IRS to clarify and offer tax relief for crypto staking rewards to avoid double taxation.

QWhat was the response from the IRS's CEO regarding the review of crypto staking taxes?

AIRS CEO Frank Bisignano stated that he would soon brief Congressman on the ongoing reviews and the planned approach for treating crypto staking rewards for tax purposes.

Lecturas Relacionadas

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbitHace 9 hora(s)

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbitHace 9 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbitHace 10 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbitHace 10 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbitHace 11 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbitHace 11 hora(s)

Trading

Spot
Futuros
活动图片