In the final two weeks of March 2026, two significant documents were released: the White House’s National Policy Framework for Artificial Intelligence and a new white paper from Google Quantum AI on quantum vulnerabilities in blockchain cryptography. Below are our key takeaways from each, with links to the full TDC analyses at the bottom.
White House National Policy Framework for Artificial Intelligence
On March 20, 2026, the White House released its National Policy Framework for Artificial Intelligence – legislative recommendations to Congress spanning seven subject areas, from child protection and intellectual property to workforce development and federal preemption of state AI laws. It carries no binding legal force, but represents the Administration’s preferences for where it wants Congress to go on AI.
The most consequential provision is Section VII. If enacted, federal preemption would establish a single national AI standard, overriding the fragmented state-level regimes building in Colorado, California, Texas, Illinois, and elsewhere. States could not impose AI-specific disclosure mandates, impact assessments, or liability regimes beyond the federal floor – a significant simplification for companies currently navigating conflicting requirements, though several states are likely to contest it in court.
Also notable: Section V directs Congress not to create any new AI-specific regulatory body. Oversight would flow through existing regulators – SEC, CFTC, FinCEN – rather than a new agency, which has meaningful implications for digital asset companies whose AI tools already operate under financial regulatory frameworks.
Our full section-by-section analysis covers all seven provisions and their implications for blockchain and digital asset companies.
Google Quantum AI: Quantum Vulnerabilities in Blockchain Cryptography
On March 30, 2026, a team at Google Quantum AI – with collaborators from UC Berkeley, Stanford, and the Ethereum Foundation – published revised estimates of the quantum computing resources needed to break Bitcoin and Ethereum’s cryptography.
The core finding: using Shor’s Algorithm against the elliptic curve underlying both networks, the attack can be carried out with fewer than 500,000 physical qubits and completed in roughly nine minutes – within Bitcoin’s ten-minute block window. That is approximately 20 times fewer resources than prior published estimates. Companies like Google and IBM are actively building hardware in this range.
The exposure is substantial. Roughly 6.9 million BTC are currently in quantum-vulnerable address formats, including approximately 2.3 million in dormant wallets inactive for five or more years. Ethereum’s attack surface is broader, spanning its account model, smart contract admin keys, Proof-of-Stake validator signatures, and Layer 2 infrastructure. The paper also raises the policy question of what governments should do about dormant quantum-vulnerable assets before a capable quantum computer arrives – and concludes the window for orderly post-quantum migration is narrowing faster than previously understood.
Our full summary covers the attack scenarios, dormant asset governance options, and implications for exchanges, custodians, and institutional holders.
From the AIQ Working Group
The AIQ working group is continuing to track hardware developments at Google, IBM, IonQ, and others, alongside the White House Framework’s impact on Congress. More updates to follow.
Read the Full White House AI Framework Analysis here.
Read the Full Google AI Quantum Report Summary here.
If you have any questions, please reach out to policy@digitalchamber.org.