Cowork extends Claude Code's architecture to non-developers: designate a folder, and Claude can read, edit, create, and delete files within it. The feature integrates with existing connectors (Asana, Notion, PayPal) and pairs with Claude in Chrome for browser automation. Anthropic explicitly warns that prompt injection remains "an active area of development" and that agents can take destructive actions if instructed. The honesty is strategic—setting expectations before incidents, not after.

Do now: Map every agent in your org that has write access to production systems. Create an inventory: which tools each agent calls, which data it touches, and whether destructive operations (delete, modify, send) are gated by human approval or policy engine. If you can't answer these questions, you're not ready for Cowork-style deployments.

Allianz's global partnership with Anthropic has three components: Claude Code access for all employees, custom AI agents for motor and health claims workflows, and—critically—an interaction logging system designed for transparency and regulatory review. The emphasis on human-in-the-loop for sensitive cases and auditable decision trails isn't window dressing; it's the product. For a company managing €761 billion in assets across 70 countries, governance is the enabler, not the blocker.

Do now: Audit your current AI deployments for logging completeness. For each agent interaction, can you reconstruct: who triggered it, what inputs it received, which tools it called, what outputs it produced, and what changed? If any link is missing, you don't have an audit trail—you have a liability.

Anthropic signed a term sheet for $10 billion at a $350 billion pre-money valuation—nearly doubling from $183 billion just four months ago. Coatue and GIC (Singapore's sovereign wealth fund) are leading. This is separate from the $15 billion Microsoft-Nvidia commitment. The math tells the story: enterprise agent platforms are being priced like infrastructure, not software. Run-rate revenue reportedly jumped from $1 billion to $5 billion through 2025, with Claude Code alone generating $500M+ ARR.

Do now: Review your AI vendor contracts for lock-in exposure. If your primary agent platform is raising at these multiples, they're building for the long term—which means your switching costs are about to compound. Negotiate data portability and model-agnostic architecture clauses now, before renewal.

TrendForce projects DRAM prices rising 50–55% in Q1 2026 versus Q4 2025—unprecedented in the industry's history. SK Hynix has presold its entire 2026 HBM output. Micron is exiting consumer memory (Crucial brand) to redirect wafers to AI customers. Relief won't arrive until new mega-fabs reach volume production in 2027–2028. Every HBM wafer produced "cannibalizes" 3–4 standard DRAM chips. Your inference cost model just broke.

Do now: Recalculate your AI inference budget with 40–50% higher memory costs. Benchmark current serving efficiency: cost per 1K tokens, GPU utilization rates, batch sizes. Set Q2 2026 targets for 20–30% efficiency gains through quantization, speculative decoding, or workload consolidation. The companies that optimize now will have margin when competitors are scrambling.

France's Ministry of Armed Forces awarded Mistral AI a framework agreement covering all military branches, directorates, and affiliated entities (CEA, ONERA, SHOM). The non-negotiable condition: deployment on French-controlled infrastructure. No foreign cloud. No extraterritorial jurisdiction exposure. Mistral will fine-tune models on defense-specific data under AMIAD (Ministry Agency for Defense AI) oversight. This isn't a pilot—it's policy.

Do now: If you're selling to European public sector, map your infrastructure against data residency requirements by member state. Identify which workloads can run on in-region capacity today versus which require hybrid architectures. The procurement teams asking "where does the data live?" aren't going away.

The European Commission will decide whether to clear, conditionally approve, or escalate Google's acquisition of cloud security firm Wiz to Phase II investigation. US regulators cleared the deal in November. At stake: whether Google Cloud can bundle Wiz's multi-cloud security capabilities (AWS, Azure, Oracle support) into enterprise contracts—or whether regulators force structural concessions. A $3.2 billion breakup fee concentrates minds.

Do now: If you're evaluating cloud security platforms, delay major commitments until post-February 10. The decision will clarify whether Wiz remains multi-cloud or tilts toward Google Cloud integration. Either outcome changes your vendor calculus.

Apple and Google announced a multi-year collaboration: Apple Foundation Models will be based on Gemini and Google Cloud technology, powering a revamped Siri launching later this year. Bloomberg previously reported the deal is worth approximately $1 billion annually, with Google building a custom 1.2 trillion parameter model for Apple. The deal is non-exclusive—OpenAI's ChatGPT integration remains—but Gemini is now at the center of Apple's AI strategy.

Do now: Reassess your enterprise mobile security policies for AI-enabled assistants. When Siri becomes a front door to Gemini, employee queries through personal devices gain new data exposure vectors. Update acceptable use policies and consider MDM configurations that govern assistant access to corporate data.

South Korea becomes the second jurisdiction (after the EU) with comprehensive AI legislation. The law requires risk assessments, user notification, documentation, and human oversight for "high-impact AI" in healthcare, hiring, finance, and public services. Foreign AI operators must designate a Korean representative. A one-year grace period prioritizes guidance over penalties, but enforcement will follow.

Do now: If you operate AI systems affecting Korean users, begin high-impact classification assessment now. Map which deployments fall into regulated categories (employment decisions, loan screening, healthcare). The grace period is for preparation, not delay.

Parliament passed amendments to the Public Sector (Governance) Act on January 12, allowing government agencies to share data with authorized external parties—social service agencies, community groups, trade associations—for seven prescribed public-interest purposes. Criminal liability for misuse (up to S$5,000 fine, 2 years imprisonment) now extends to external partners. The pattern is clear: controlled data sharing, not data hoarding, with accountability boundaries that survive the sharing.

Do now: Review your data-sharing agreements with government partners globally. Singapore's model—ministerial authorization, contractual safeguards, criminal liability for misuse—is likely to propagate. Ensure your data governance frameworks can accommodate delegated access with audit trails.