Memon Trader 4 You

Grayscale Research warned investors on April 6, 2026, that Google Quantum AI’s March 2026 paper shows quantum leaps could soon crack Bitcoin’s ECDSA encryption using Shor’s algorithm.

Meanwhile, the XRP Ledger gains a quantum edge by actively experimenting with post-quantum cryptography upgrades. The broader industry now calls for accelerated migration, aiming to achieve full post-quantum readiness by 2029 to safeguard decentralized blockchains.

On April 6, 2026, Grayscale Research released a new Google Quantum AI paper stating that quantum computers could eventually use Shor’s algorithm to break the elliptic curve cryptography used to secure Bitcoin. The analysis warns that progress may occur in sudden leaps rather than gradual steps, making early preparation critical.

Bitcoin faces lower engineering risk than many other blockchains. Its UTXO model, proof-of-work consensus, lack of native smart contracts, and certain address designs limit exposure.



For instance, Satoshi-era P2PK addresses and newer Taproot (P2TR) addresses expose public keys directly on-chain. These represent significant portions of the total supply and carry additional quantum vulnerabilities.

Google Quantum AI paper suggests that quantum progress toward breaking elliptic curve cryptography may come in sudden leaps rather than gradual steps. This non-linear advancement means that the ability to crack Bitcoin’s Elliptic Curve Digital Signature Algorithm

(ECDSA) could emerge abruptly. Grayscale Research warns that waiting for further innovation could be risky as timelines remain uncertain.

Shor’s algorithm, developed in the mid-1990s, allows a quantum computer to quickly solve the elliptic curve discrete logarithm problems that secure ECDSA. According to the Google Quantum AI paper, breaking this cryptography would require only 1,200 to 1,450 logical qubits, a level of computational power closer than many realize.

Furthermore, Bitcoin faces lower engineering risk than many other blockchains because its UTXO model, proof-of-work consensus, lack of native smart contracts, and certain address designs limit exposure.

(adsbygoogle = window.adsbygoogle || []).push({});

Grayscale emphasizes that while no such machine with this quantum capability is available today, and quantum capability is still likely several years away, the potential for sudden leaps makes early action critical. The Google whitepaper shows that both $SOL and $XRP are already experimenting with post-quantum cryptography.

This early action positions XRP Ledger ahead of most blockchains as the industry prepares for the potential quantum threats to elliptic curve cryptography. This means that decentralized networks must move proactively through community consensus.

According to CoinMarketCap data, on April 7, 2026, XRP trades at $1.31, with a market capitalization of $80.43 billion, remaining stable near recent levels amid broader market caution and increased attention to quantum security readiness.

Therefore, XRP Ledger’s PQC experiments could provide a clear technical path forward, reduce future engineering risk, and give it a quantum edge. The industry calls for continued accelerated migration, with 2029 cited as a key target for full post-quantum readiness.

Grayscale Investments has taken another step to expand its crypto offerings. The firm filed an amended S-1 form for its Grayscale Bittensor Trust, which focuses on the $TAO token. This update moves the product closer to becoming a publicly traded ETF.

⚡️JUST IN: Grayscale files an amended S-1 for its Bittensor ($TAO) Trust, advancing its push to expand institutional access to AI-focused crypto assets. pic.twitter.com/TmtseCAx0e

— Coin Bureau (@coinbureau) April 3, 2026

If approved, it would give investors easier access to AI-related crypto assets. The filing builds on Grayscale’s earlier registration from December 2025. It also reflects growing interest in combining artificial intelligence with blockchain technology.

A Push Toward ETF Conversion

Grayscale plans to convert its existing trust into an ETF. The product is expected to list on the NYSE Arca if approved. Right now, the trust trades over the counter under the symbol GTAO. But an ETF structure would bring more transparency and liquidity. It would also allow a wider range of investors to participate.

The trust is designed to track the price of $TAO. It does this while removing the need for users to directly buy or store the token. This approach appeals to institutional investors. Many prefer regulated products over managing crypto assets themselves.

What Is Bittensor and $TAO?

Bittensor is a blockchain based network focused on machine learning. It allows users to share and improve AI models in a decentralized way. $TAO is the network’s native token. Participants can earn $TAO by offering useful data or computing power.

Bittensor’s design is at the center of AI and crypto. This has made it one of the more unique projects in the market. As interest in AI continues to grow, assets like $TAO are gaining more attention.

Institutional Demand for AI Crypto

Grayscale’s move suggests a broader trend. Institutional investors have become keen on AI-linked crypto assets. The company has grown beyond Ethereum and Bitcoin products in recent years. It is now focusing on specific fields like decentralized AI.

The amended filing shows that demand is not slowing down. Instead, it is evolving into new areas. While regulators are reviewing more crypto ETF applications. Each approval could open the door for new types of digital asset exposure.

What Happens Next?

The next step depends on regulatory approval. The U.S. SEC will review the amended S-1 filing. If approved, the ETF could attract significant capital. It may also increase visibility for Bittensor and similar projects.

But the process may take time. Regulators often review such filings carefully, especially for newer asset classes. For now, the update shows clear progress. Grayscale continues to push deeper into the market. While investors look for new ways to access emerging crypto sectors

👩‍🍳 How we use AI at Tech in Asia, thoughtfully and responsibly.
Artificial Intelligence
Investments
Microsoft to invest $10b in Japan for AI, cybersecurity push
Microsoft said it will invest 1.6 trillion yen, or about US$10 billion, in Japan from 2026 to 2029 to expand AI infrastructure and step up cybersecurity cooperation with the Japanese government.
The plan was announced in Tokyo during a visit by Vice Chair and President Brad Smith, and Microsoft said it includes training 1 million engineers and developers by 2030.
Microsoft will work with SoftBank and Sakura Internet to add Japan-based AI computing capacity so companies and government agencies can keep sensitive data in the country while using Azure services.
Microsoft will deepen information sharing with Japanese authorities on cyber threats and crime prevention, while the Japanese government estimates a shortfall of more than 3 million AI and robotics workers by 2040.
Microsoft’s investment lands during an antitrust probe and builds on an existing alliance
Microsoft links the investment to national goals, while Japan’s Fair Trade Commission investigates Azure for potentially anti-competitive practices in cloud services 1.
The move also extends a 2023 strategic alliance with SoftBank Corp. that paired Microsoft’s AI and cloud tools with SoftBank’s mobile and fixed-line networks 2.
Work is already underway, with SB Technology rolling out Microsoft 365 Copilot to 1,100 employees and SoftBank partnering with Microsoft Japan on a generative AI project for internal call center optimization 3, 4.
Microsoft aims to lock in Japan’s AI ecosystem alongside new data centers
The investment reaches past hardware, with a plan to pull more of Japan’s AI work onto Microsoft platforms over time.
Microsoft plans to train 1 million engineers and developers by 2030, as the Japanese government expects a gap of more than 3 million AI and robotics workers by 2040.
With SoftBank and Sakura Internet, Microsoft plans to add Japan-based AI computing capacity so companies or government agencies can keep sensitive data inside the country while using Azure services.
Microsoft also plans deeper cybersecurity work with the Japanese government, including expanded sharing with Japanese authorities on cyber threats and crime prevention.
Recent Microsoft developments
👀 See Also: AI infra gap could cost Australia growth, Deloitte says
How would you feel if you could no longer use Tech in Asia?
😥
Very disappointed
Share, follow

She also warned that Strait of Hormuz disruptions have reduced ship traffic, threatening global energy markets, maritime transport, and supply chains
Reem bint Ibrahim Al Hashimy, minister of state for international cooperation, participated today in a virtual meeting of foreign ministers on the Strait of Hormuz, hosted by Yvette Cooper, UK minister of state for foreign, Commonwealth and development affairs.
She underlined that Iranian attacks against commercial vessels in the Arabian Gulf and the Strait of Hormuz amount to economic warfare and piracy, representing a blatant violation of state sovereignty and territorial integrity and exposing vital shipping lanes to serious economic, humanitarian and environmental risks
Oil Go Up next level 128$
$BTC $EUR