Morgan Stanley Eyes Bitcoin ETF With Fee That Could Shake An $83 Billion Market

bitcoinistОпубліковано о 2026-03-29Востаннє оновлено о 2026-03-29

Анотація

Morgan Stanley has filed for a spot Bitcoin ETF with a record-low fee of 0.14%, undercutting major competitors like BlackRock (0.25%) and Grayscale (0.15%). The bank’s strategy targets its network of 16,000 financial advisors who manage $6.2 trillion in assets, making the product an easy recommendation without client fee concerns. If approved, it would be the first U.S. spot Bitcoin ETF issued by a major bank. The fund has appointed Coinbase and Bank of New York Mellon as custodians, signaling a long-term commitment. This move could pressure the $83 billion ETF market to lower fees. Morgan Stanley is also expanding into other crypto ETFs, including Solana and staked Ether.

Morgan Stanley’s 16,000 financial advisors manage $6.2 trillion in client assets. That number has been sitting in the background of a major filing — and it explains a lot about why the bank set its proposed Bitcoin ETF fee where it did.

A Fee Built For Advisors, Not Just Investors

The bank filed an updated S-1 registration statement with the SEC on Friday, setting the fee for its proposed Morgan Stanley Bitcoin Trust at 0.14%.

If approved, that would make it the lowest fee of any spot Bitcoin ETF currently trading in the US market. Bloomberg ETF analyst Eric Balchunas said the fee was set with advisors in mind — at that price point, no one on the firm’s sales floor would feel awkward recommending the product to clients.

Morgan Stanley disclosed the 0.14% fee in its latest S-1 filing on Friday.

That is a practical calculation. Advisors who push high-fee products into client portfolios face questions. At 0.14%, those questions go away.

BlackRock’s iShares Bitcoin Trust charges 0.25%. The Grayscale Bitcoin Mini Trust sits at 0.15%. Morgan Stanley is going in one basis point below both of its nearest rivals.

Bloomberg ETF analyst James Seyffart called it a big move and said an early April launch is likely, pending regulatory approval.

Image: Kitco

First Bank To Issue A Spot Bitcoin ETF

Approval would put Morgan Stanley in a category of one. No major bank has yet issued a spot Bitcoin ETF in the US. That distinction, combined with a rock-bottom fee and a distribution network of thousands of advisors, gives the product a strong early position if it clears the SEC.

Bitcoin is now trading at $66,180. Chart: TradingView

The bank named Coinbase and Bank of New York Mellon as custodians for the fund. Those are two of the most established names in digital asset custody, and the pairing signals that Morgan Stanley is building this to last — not testing the waters.

Rivals will now face a decision. The $83 billion spot ETF market has operated with fees clustered around 0.20% to 0.25%. A new entrant coming in below all of them puts pressure on existing providers to respond or accept the risk of losing assets over time.

More Than Just Bitcoin

The Bitcoin ETF is one piece of a larger push. In January, Morgan Stanley also filed for a Solana ETF and a staked Ether ETF. Weeks later, it applied for a national trust banking charter that would allow it to custody digital assets, carry out trades, and offer staking services directly to clients.

Featured image from Unsplash, chart from TradingView

Пов'язані питання

QWhat is the proposed fee for Morgan Stanley's Bitcoin ETF and how does it compare to its competitors?

AMorgan Stanley's proposed Bitcoin ETF fee is 0.14%, which is lower than BlackRock's iShares Bitcoin Trust (0.25%) and the Grayscale Bitcoin Mini Trust (0.15%).

QWhy did Morgan Stanley set its Bitcoin ETF fee at 0.14%, according to Bloomberg analyst Eric Balchunas?

AEric Balchunas stated that the 0.14% fee was set with the firm's financial advisors in mind, making it a price point where no one would feel awkward recommending the product to clients.

QWhat significant distinction would Morgan Stanley achieve if its Bitcoin ETF is approved by the SEC?

AMorgan Stanley would become the first major bank to issue a spot Bitcoin ETF in the US.

QWhich two companies did Morgan Stanley name as custodians for its proposed Bitcoin fund?

AMorgan Stanley named Coinbase and Bank of New York Mellon as the custodians for the fund.

QBeyond a Bitcoin ETF, what other crypto-related products has Morgan Stanley recently filed for?

AIn addition to the Bitcoin ETF, Morgan Stanley has also filed for a Solana ETF, a staked Ether ETF, and applied for a national trust banking charter to custody digital assets and offer staking services.

Пов'язані матеріали

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.

marsbit8 год тому

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

marsbit8 год тому

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.

marsbit9 год тому

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

marsbit9 год тому

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.

marsbit10 год тому

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

marsbit10 год тому

Торгівля

Спот
Ф'ючерси
活动图片