Morgan Stanley Opens Crypto Investing to All of its Clients

TheCryptoTimesPublicado em 2025-10-10Última atualização em 2025-10-10

Morgan Stanley has dropped key restrictions on cryptocurrency exposure, allowing all of its wealth management clients to allocate funds into crypto products starting October 15. The decision, shared in an internal memo obtained by CNBC, also opens crypto investment options to retirement and other account types for the first time.

As noted in a CNBC article, the firm previously limited access to clients with at least $1.5 million in assets and a high-risk tolerance, reflecting Wall Street’s traditionally cautious stance toward digital assets. Now, advisors will be permitted to recommend crypto funds to any investor under a new automated risk-monitoring framework designed to prevent overexposure in volatile markets. 

The bank’s global investment committee has issued new guidelines suggesting allocations of up to 4%, depending on a client’s goals and risk profile. “Cryptocurrency remains speculative but increasingly popular,” said Lisa Shalett, Morgan Stanley’s Chief Investment Officer for wealth management, in an internal note.

Currently, the firm offers exposure through Bitcoin funds managed by BlackRock and Fidelity but may add other crypto products as the asset class continues to mature. 

Retail ambitions and crypto access converge

The announcement comes just weeks after Morgan Stanley confirmed plans to bring direct crypto trading to its ETrade subsidiary, signaling a synchronized strategy between its wealth and retail divisions. The ETrade rollout, slated for early 2026, will let clients buy and sell Bitcoin (BTC), Ether (ETH), and Solana (SOL) directly, using ZeroHash for custody and settlement infrastructure.

Both moves position Morgan Stanley as one of the first U.S. banks to unify crypto access across both institutional and retail channels. By contrast, rivals like Robinhood and Fidelity have focused on retail-first models, while traditional banks have largely restricted digital assets to elite investors.

The shift also reflects intensifying competition in the brokerage space. As retail platforms blur the line between traditional and digital markets, Morgan Stanley’s expansion signals that crypto is no longer treated as a speculative outlier but as an integrated component of client portfolios.

Also read: Democrats’ New DeFi Proposal Sparks Crypto Uproar


Mobile Only Image

Leituras Relacionadas

Robotic GPT-3 Moment Shakes Silicon Valley: Zero Lines of Code, Learns Instantly, with Investments from Jensen Huang and Fei-Fei Li

Generalist AI's newly released robot foundation model GEN-1.5 is being hailed as the "GPT-3 moment" for embodied AI. The model demonstrates remarkable one-shot and few-shot learning capabilities in physical manipulation tasks. By watching a single 3-12 second demonstration video (physical prompting) without any training or code, the robot can attempt the task with a 59% average success rate across 10 tasks. With just 5 minutes of demonstration data and minimal fine-tuning (10 gradient steps), the success rate jumps to 83%. The most significant breakthrough is the emergence of spontaneous, improvisational problem-solving abilities not present in the training data. For instance, after learning to sweep blocks with a brush, the robot can adapt to use a banana similarly or switch to a completely new "scoop-and-pour" strategy when given a dustpan. Other emergent behaviors include removing obstacles, correcting errors, and spontaneously sorting objects. These capabilities stem from over 8 months of large-scale pre-training on physical interaction data, suggesting the existence of a Scaling Law for embodied intelligence—where model generalization improves with more data and training time. This approach drastically reduces the cost and expertise needed to teach robots new skills, potentially democratizing robot programming. The release coincides with a surge in the humanoid robotics sector, marked by events like the World Robot Conference and significant investments. While the demonstrated tasks are still relatively simple, the scaling trend and emergent behaviors point toward a future where general-purpose robot "brains" could be easily adapted to various hardware "bodies," reshaping the industry's competitive landscape.

marsbitHá 1h

Robotic GPT-3 Moment Shakes Silicon Valley: Zero Lines of Code, Learns Instantly, with Investments from Jensen Huang and Fei-Fei Li

marsbitHá 1h

Trading

Spot
活动图片