Circle acquires IBM blockchain patent estate to become America's biggest holder, boosting enterprise blockchain adoption.

Phantom activates IBM and DELL perpetual futures on trade.xyz with 10x leverage for crypto perps markets on equities IBM DELL.

According to @DeepLearningAI, Andrew Ng introduced the Turing-AGI Test in the New Year issue of The Batch to evaluate AI systems on real, economically useful work rather than hype, published Jan 2, 2026, on X. According to @DeepLearningAI, the same issue highlights six practical perspectives tied to enterprise adoption: IBM’s David Cox on Open Source Wins, Princeton’s Adji Bousso Dieng on AI for Scientific Discovery, Microsoft’s Juan M. Lavista Ferres on education that works with AI, Allen Institute’s Tanmay Gupta on moving from prediction to action, UC San Diego’s Pengtao Xie on multimodal models for biomedicine, and AMD’s Sharon Zhou on community-building chatbots. Using the themes outlined by @DeepLearningAI, traders can align screens toward measurable utility: open-source and enterprise AI exposure in IBM and MSFT equities, compute demand signposts in AMD, and for digital assets, apply the same utility-first lens to AI infrastructure tokens and data protocols to prioritize real-world usage over hype, based on the source’s emphasis on economically useful work.

According to the source, IBM says new quantum processors and software advances will accelerate its path toward fault-tolerant quantum computing; IBM’s public roadmap outlines progress toward error-corrected systems through the late 2020s (source: IBM Research, IBM Quantum roadmap 2023: https://research.ibm.com/blog/ibm-quantum-roadmap-2023). For traders, the near-term risk is headline-driven volatility as Q-Day narratives resurface, while the structural risk centers on Bitcoin’s use of ECDSA over secp256k1, which would be vulnerable to sufficiently large error-corrected quantum computers implementing Shor’s algorithm (source: Bitcoin.org Developer Guide: https://developer.bitcoin.org/devguide/transactions.html; NIST Post-Quantum Cryptography project overview: https://csrc.nist.gov/projects/post-quantum-cryptography). Current research indicates that breaking elliptic-curve cryptography at practical speeds requires on the order of millions of physical qubits and long coherent runtimes, exceeding today’s capabilities (source: Roetteler et al., Quantum Resource Estimates for Computing Elliptic Curve Discrete Logarithms, Microsoft Research: https://www.microsoft.com/en-us/research/publication/quantum-resource-estimates-for-computing-elliptic-curve-discrete-logarithms/). Policy timelines also suggest a multi-year migration: NIST has issued the first post-quantum cryptography standards and U.S. cybersecurity guidance urges inventory and transition planning this decade, informing crypto custody risk management and exchange security roadmaps (source: NIST PQC standards update 2024: https://www.nist.gov/news-events/news/2024/08/nist-releases-first-post-quantum-cryptography-standards; CISA Quantum-Readiness Guidance: https://www.cisa.gov/quantum-readiness). Traders should monitor on-chain proposals for post-quantum signatures, custody providers’ PQC rollout plans, and IBM quantum performance milestones, as these can influence BTC risk premia and options skew (source: Bitcoin BIPs index: https://github.com/bitcoin/bips; IBM Research roadmap: https://research.ibm.com/blog/ibm-quantum-roadmap-2023).

According to Matt Hougan, Sears co-created Prodigy with IBM in 1984 to build an internet shopping portal, underscoring that legacy firms can foresee disruption yet still fail to execute, source: Matt Hougan on X, Nov 12, 2025. For traders, this supports discounting headline premium when incumbents announce blockchain, crypto, or tokenization initiatives until verifiable traction appears in KPIs such as active users, on-chain volumes, and revenue contribution, source: Matt Hougan on X, Nov 12, 2025. A practical approach is to fade initial spikes on incumbent-partnership headlines and reprice only when filings, earnings commentary, or on-chain data show sustained adoption in payments, e-commerce, or brokerage integrations, source: Matt Hougan on X, Nov 12, 2025. Net implication is to overweight crypto-native execution leaders during hype cycles and require higher proof thresholds for legacy firms, reducing headline risk and improving risk-reward, source: Matt Hougan on X, Nov 12, 2025.