Enterprise AI Wins by Owning Action, Not Model
Pattern: Enterprise AI is shifting from “best model” to “who controls context, identity, governance, and action.” @Microsoft, @Google, @ServiceNow, @Databricks, @Salesforce, and @AnthropicAI/@TCS are all moving there. That means the most important AI pattern in the latest announcements — at least for businesses — is not better models. It is the race to own the enterprise action layer. Microsoft is giving agents identities and governance through Agent 365 and Entra. Google is turning Gemini Enterprise and its Agentic Data Cloud into a system of action. ServiceNow is positioning AI Control Tower as the cross-enterprise governance layer. Databricks’ OpenSharing is trying to make data, models, dashboards, and AI assets portable across platforms. Salesforce is betting the front office becomes agentic through Agentforce. Anthropic is scaling through enterprise delivery partners like TCS. My thesis: AI advantage will not accrue primarily to the company with the smartest model. That is becoming steadily commoditized. It will accrue to the platform that makes it functional in the enterprise: It knows the work, governs the actors, controls the context, and can safely execute across the enterprise. The unexpected long-term impact: This will enable businesses to reorganize around a new mix of human + non-human workers.
AI Adoption Lags Potential; Disruption Happens Task‑by‑task
The real AI workforce story is not that usage has already exceeded expectations. It is that the ceiling is vastly higher than current enterprise behavior. A new rendering of Anthropic’s labor market data shows the real gap: Many knowledge-work categories are technically...
AI Compute Shifts to Cloud Giants, Redefining Enterprise Strategy
One of the most important and underappreciated realities in AI right now: The frontier labs actually do not control most of the world’s AI compute anymore. The dominant share is increasingly owned by hyperscalers, cloud providers, sovereign AI initiatives, governments, and enterprises...
Google Unveils Enterprise AI Worker Platform, Challenging Rivals
1/ Google just made its biggest move yet toward becoming an enterprise digital AI worker platform. 🧵👇 This wasn’t a chatbot launch. It was a full-stack agentic AI push aimed directly at Microsoft, Salesforce, ServiceNow, and OpenAI. The biggest CIO implications from Google...
Simplify, Automate, and Delegate to Lighten IT Cognitive Load
#CIOChat Q3: Leading orgs are beginning to rethink operating models around focus, simplification, automation, decision reduction. What strategies actually work to reduce cognitive load for IT teams (org design, AI filtering, leads meeting, delegated authority, something else?) https://t.co/vRdY9iAxpT
Boards Demand Real Resilience Proof, Not Just Plans
#CIOChat Q3: Boards and regulators increasingly expect proof of resilience, not just paper plans. What metrics, sims, telemetry, tabletop exercises, recovery testing, or operational drills actual help CIOs measure readiness and expose weaknesses before a real crisis hits? https://t.co/uIagXFRm2V
AI Shifts From Tools to Enterprise Operating Systems
The last 7 days in AI feel like the exact moment the industry crossed from “AI tools” into “AI operating systems for our future.” OpenAI shipping GPT-5.5. Anthropic locking in $200B+ infrastructure deals. Google pivoting its entire enterprise strategy around agents....
Anthropic Poised to Eclipse Google in AI Growth
Anthropic is now on track to overtake Google within two years, a company with almost $5 trillion in market cap. Even accounting for deceleration due to GPU availability. At issue is that Gemini tokens consumed grew by only 60% in the last...
Join Thursday's CIOChat on Operational Resilience at 2 PM ET
#CIOChat Great chat today. Join us at 2pm ET next Thursday. Topic: Operational Resilience Hope you enjoy our movie tie-ins to intro next week’s topic. Please suggest topics and invite your IT colleagues. Every Thursday at 2pm ET. https://t.co/wrwwNUM0he
Future CIOs Will Emerge From Diverse Tech & Business Paths
#CIOChat Q4: Looking ahead, where will the next great CIOs come from? Traditional infrastructure and ops paths, product organizations, data/AI teams, management consulting, cybersecurity, or somewhere entirely new? What should ambitious future CIOs be doing right now to prepare? https://t.co/m7f93f81cO
Future CIOs Must Blend Tech, Strategy, and Leadership
#CIOChat Q1: The CIO role has evolving considerably in recent years, from operator to transformation leader, AI strategist, growth partner, and board advisor. Given how much the job has changed, what skills and experiences now matter most in identifying the next...
Cheap AI Agents Will Become Enterprise’s New Labor Layer
We are now increasingly able to quantify the enterprise agent inflection point. New data from Goldman Sachs helps paint the picture. When token economics turn positive, AI agents stop being expensive experiments and start becoming scalable digital labor. That changes everything for CIOs. The...
Token Costs Now the Biggest AI Scaling Barrier
I am hearing more and more about token costs, from end customers and tech firms both, as steadily becoming the largest single barrier to moving forward at scale with AI.
AI-Assisted R&D Gives Labs Massive Competitive Edge
Recursive self-improving AI is no longer science fiction. It’s now partially happening inside frontier labs. Claude writes most of Anthropic’s code. OpenAI says GPT helped build GPT. DeepMind’s AlphaEvolve is already discovering new algorithms and optimizing chips. But we are NOT at...
Efficiency, Grounding, Steerability, Safety: Keys to Winning AI
Ultimately, the firm(s), or open source projects, that can make AI: - Compute efficient - Grounded (very low hallucinations) - Easily steerable towards goals - Safe - Reliable (follows guidelines consistently) Will win. It’s also the list of what it’ll take to make AI workable.