This week’s updates highlight major strategic moves in AI investment, federal policy efforts, the state of enterprise adoption, and how AI is shaping corporate operations and talent strategy as the year closes.

1. The state of enterprise AI adoption deepens as organizations move beyond experimentation

A new report highlights that enterprise AI adoption in 2025 is not only expanding in scope but deepening in integration across workflows. Structured workflow usage and custom AI tools show significant increases, with workers reporting measurable productivity improvements. Although scaling remains uneven, the trend reflects growing corporate commitment to embed AI into core business functions.

Read the full report on OpenAI

2. Record-breaking $150 billion raised by U.S. AI start-ups in 2025 amid bubble concerns

 AI start-ups in the United States amassed a record $150 billion in funding in 2025, far outpacing the previous high of $92 billion. Major companies such as OpenAI, Anthropic, and Scale AI secured substantial rounds, and investors are advising firms to build financial resilience in anticipation of potential market tightening in 2026. Despite bubble fears, capital deployment suggests continued confidence in enterprise AI growth and talent competition.

Read the full story on Financial Times

3. U.S. Executive Order aims to unify national AI policy and pre-empt state regulations

President Trump signed an executive order in December 2025 establishing a federal AI policy framework, directing agencies to evaluate and, when appropriate, counter conflicting state AI laws. The order seeks to create a unified national standard that promotes innovation and competitiveness while providing guidance on federal reporting standards and FTC enforcement related to deceptive practices in AI outputs.

Read the full story on Morgan Lewis insights

4. S&P Global partners with Google Cloud to accelerate enterprise AI transformation

S&P Global announced a multi-year strategic partnership with Google Cloud aimed at advancing AI-powered enterprise transformation. The collaboration will support expanded agentic AI and workflow automation by integrating S&P Global’s proprietary data with Google Cloud’s AI and data platform, enhancing client insights and enterprise data distribution efficiency.

Read the full story on PR Newswire

5. SoftBank moves to acquire DigitalBridge for about $4 billion to accelerate AI infrastructure

SoftBank announced that it will acquire digital infrastructure investor DigitalBridge for approximately $4 billion in cash, reinforcing its long-term strategy in AI infrastructure, data centers, and connectivity. The asset manager oversees a broad portfolio of data center and networking assets that support enterprise-scale AI workloads. DigitalBridge will continue to operate independently under its current leadership after the acquisition.

Read the full story on Business Insider

6. 2026 Corporate AI Outlook Study: Webcast Panel and Survey Announced

A new research study on how businesses are deploying and managing artificial intelligence (AI) is announced entitled: The 2026 Corporate AI Outlook Study. The study seeks to identify how AI Directors, Chief AI Officers (CAIOs), CTOs, CIOs and related executives are effectively managing AI at a time of rapidly changing technologies. The study results will be previewed at a complimentary webcast panel discussion scheduled forJanuary 20, 2026, 1 PM CST.

Take the Survey

Why It Matters?

  • Infrastructure and capital are strategic priorities. The SoftBank acquisition and record funding rounds show that foundational AI infrastructure continues to attract large-scale investment.
  • Federal policy is moving toward national AI standards. The executive order may help reduce regulatory fragmentation and shape how enterprises plan compliance and governance.
  • Enterprise transformation partnerships are gaining momentum. Deals like S&P Global’s with Google Cloud reflect a shift toward strategic cloud and AI alliances to boost agility and intelligence.
  • AI adoption is becoming operational rather than experimental. The enterprise AI report indicates deeper integrating of AI tools into workflows, a sign that value realization is now a central focus.

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