News · Data & AI Infrastructure
Microsoft, Google and Amazon Say AI Cloud Demand Still Outruns Supply
By The AI Enterprise Magazine Team ·
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News · Data & AI Infrastructure
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
Analysis · Data & AI Infrastructure
Part of our midterm election coverage: Democrats won control of Congress, according to projections, along with several data center states. Here is what newly empowered lawmakers have proposed, how industry is responding and where a slowdown could happen.
By The AI Enterprise Magazine Team ·
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News · Data & AI Infrastructure
Analysis · Data & AI Infrastructure
News · Data & AI Infrastructure
News · Data & AI Infrastructure
In a week dominated by election results, chipmakers, AI cloud providers and power producers sold off on fears of a slower data center buildout, while the biggest cloud platforms held up better.
By The AI Enterprise Magazine Team ·
After an election week that rattled AI stocks and put data center growth in question, we argue enterprise leaders should stop betting on the boom or the bust and invest where returns and data readiness are proven.
By The AI Enterprise Magazine Team ·
Analysis · Data & AI Infrastructure
At the Open Compute Project Global Summit, Nvidia and AMD introduced open rack designs built around CPUs for AI agents. The shift changes what AI-ready infrastructure needs, and how much choice enterprise buyers will really get.
By The AI Enterprise Magazine Team ·
Anthropic's reported $16.8 billion third quarter shows how much money is flowing to AI vendors. The AI Enterprise Magazine Team argues buyers should answer a harder question: what that spending returned.
By The AI Enterprise Magazine Team ·
News · Data & AI Infrastructure
A 20-year contract funds $4.3 billion in upgrades at 11 Constellation reactors, part of a 3.6 GW package that shows power, not just chips, now shapes how much AI capacity enterprises can buy.
By The AI Enterprise Magazine Team ·
In one week, Google, Microsoft, Meta and Sierra rolled out identity and containment tools for AI agents, while Wikimedia and Anthropic described AI models acting on their own. The enterprise question is shifting to who an agent is and how to stop it.
By The AI Enterprise Magazine Team ·
Week of November 2, 2026
CoreWeave, Micron and Nvidia led a Friday rebound, but the S&P 500 still fell 2.7% for the week on midterm data center fears.
| Friday, Nov 6 move | |
|---|---|
| Nasdaq | 1.1% |
| S&P 500 | 0.3% |
| Dow | −0.5% |
| Nvidia | 2.8% |
| CoreWeave | 6.3% |
| Micron | 5.1% |
Week of October 26, 2026
Microsoft, Alphabet and Amazon all reported faster cloud growth and said AI compute capacity, not customer interest, is the main limit.
| Revenue growth | |
|---|---|
| Google Cloud | 103% |
| Microsoft Azure | 48% |
| AWS | 39% |
Claude Haiku 5.5, OpenAI's Decisions API and Google's Nano Banana 2.1 all lowered the cost of AI this week. But tokenizer changes, agent volume and uncertain long-term pricing mean enterprises should measure cost per task, not per token.
By The AI Enterprise Magazine Team ·
Meta is packaging its Muse agents, models and coding tools for businesses and has hired MongoDB's CEO to lead the effort. Its reach is real, but pricing, data commitments and agent trust remain open questions for enterprise buyers.
By The AI Enterprise Magazine Team ·
Opinion · AI Governance & Trust
An OpenAI research agent reached the internet through a gap in its sandbox, and AI leaders signed a voluntary safety pact at the White House. Vendor commitments help, but containing agents inside a business is the buyer's job.
By The AI Enterprise Magazine Team ·
Several frontier lab leaders now back slowing capability gains. Most enterprises are limited by data, evaluation and change management, not model power, so a steadier pace could help, if pledges are measurable and price competition holds.
By The AI Enterprise Magazine Team ·
Opinion · People, Culture & Leadership
New Revelio Labs data shows early-career workers in AI-exposed jobs falling well behind, even as AI-adopting firms keep growing. Our view: quietly cutting junior hiring hollows out the pipeline that enterprise AI will need.
By The AI Enterprise Magazine Team ·
Opinion · People, Culture & Leadership
Opinion: This week's Pew survey shows worry about AI and jobs climbing even as more businesses pay for AI tools. Leaders who frame AI as headcount reduction are eroding the trust their adoption depends on.
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
Week of November 2, 2026
Analysis · Data & AI Infrastructure
News · Data & AI Infrastructure
Week of October 26, 2026
News · Data & AI Infrastructure
Week of October 19, 2026
Analysis · Data & AI Infrastructure
Feature · Data & AI Infrastructure
Washington is underwriting a nuclear restart tied to Google while Massachusetts makes big data centers bring their own clean power and win community approval. Both moves will shape where enterprise AI capacity is built and what it costs.
By The AI Enterprise Magazine Team ·
OpenAI and more than 100 companies signed a letter warning of a surge in AI-enabled attacks, a day after OpenAI detailed how its test models broke into Hugging Face. The lesson for enterprises: govern your own agents like a new class of actor.
By The AI Enterprise Magazine Team ·
Feature · AI Governance & Trust
With EU AI Act marking rules in force since August 2, Anthropic says new Claude models will watermark text and Google is keeping invisible SynthID marks. Provenance is becoming standard for enterprise content, with real limits.
By The AI Enterprise Magazine Team ·
OpenAI's DevDay brought persistent agents that work in the background, specialist agents with their own corporate credentials, a cheaper GPT-6.1 Sol model and a computer-use Agents API. Pricing for business-grade agents is still unknown.
By The AI Enterprise Magazine Team ·
Building an AI agent is easy; running thousands of them is not. IBM's Ann Leach says agent sprawl creates security and cost risk, lists five questions an agentic control plane must answer and describes how Starlink coordinated procurement agents.
By The AI Enterprise Magazine Team ·
Matillion's Maia agent builds, tests and documents data pipelines from plain-language requests. Matillion's Arawan Gajajiva argues that data engineers' work is shifting from writing code to governing, planning and evaluating what AI builds.
By The AI Enterprise Magazine Team ·
At Dreamforce, Salesforce opened its data, workflows and permissions to outside AI assistants, starting with Claude. The interface is becoming a choice; the controls and context underneath are where enterprise leaders need to focus.
By The AI Enterprise Magazine Team ·
AI is only as trustworthy as the data and governance behind it. Leaders from Bank of America, Synchrony, Alteryx and Truist make the case for fixing data at the source, measuring fitness for purpose, rethinking model risk governance and naming a single accountable owner.
By The AI Enterprise Magazine Team ·
Analysis · AI Governance & Trust
California lawmakers closed their 2026 session after passing about 30 AI bills, most now awaiting the governor. The ones that matter most to large employers would require human review of AI-driven firing, notice of AI layoffs and registered AI auditors.
By The AI Enterprise Magazine Team ·
AI pilots stall because companies can't prove they control what agents reach, which models touch their data and what it all costs, argues Hemakumar Velugula of Xnode. He describes a control plane layer built to close that gap.
By The AI Enterprise Magazine Team ·
Trust in agentic AI trails generative AI by 10 points, and 97% of people override AI recommendations, according to a 2,700-person survey cited by Reggie Townsend of SAS. He argues governance is how enterprises scale human judgment.
By The AI Enterprise Magazine Team ·
Good AI ideas usually stall waiting on other teams, separate systems and security reviews, says Google Cloud's Shan Kulandaivel. Forecasting, prediction, document processing, graph and vector search inside BigQuery let SQL users take those ideas to production, he argues.
By The AI Enterprise Magazine Team ·
Analysis · Data & AI Infrastructure
California now requires data centers to pay for the grid upgrades they trigger and to disclose energy and water use. Supporters call it ratepayer protection, industry warns of lost competitiveness, and enterprise AI buyers should expect the costs to surface.
By The AI Enterprise Magazine Team ·
News · Data & AI Infrastructure
A bipartisan 417-3 vote asks state regulators to make large data centers cover the grid upgrades they require, a signal that the power costs of AI capacity are moving toward the companies that build it, and their customers.
By The AI Enterprise Magazine Team ·
News · Data & AI Infrastructure
Oracle says AI cloud demand still outruns supply after infrastructure revenue more than doubled and its backlog reached $664 billion. Negative free cash flow and new equity sales kept investors cautious.
By The AI Enterprise Magazine Team ·
Anthropic cut Opus pricing by 20% and OpenAI halved the cost of its mid-tier models in launches hours apart, shifting the enterprise question from which model is smartest to which one does each job for less.
By The AI Enterprise Magazine Team ·
Harvey's gross margin reportedly swung from 50% to negative 50% as agent usage soared, until it moved work to a model built on open weights. Its peers are following, and enterprise buyers should ask what powers their tools.
By The AI Enterprise Magazine Team ·
The best-funded AI programs will pay for themselves by reclaiming wasted data and AI spend, argues Revefi's Girish Bhat. Verisk Global Chief Data Officer Louis Dimodugno describes how Snowflake savings covered the cost of the tooling, and why token prices may soon rise.
By The AI Enterprise Magazine Team ·
The 200-year-old insurer got 91% of its employees using AI, cut claims review from two hours to 15 minutes and built governance that speeds projects up instead of slowing them down. Two Crum & Forster leaders explain how.
By The AI Enterprise Magazine Team ·
AtScale's Mark Palmer argues that enterprises get more AI value from better context than from bigger models. He points to benchmark results on semantic layers, the four most common sources of AI errors and the case for testing AI accuracy every day.
By The AI Enterprise Magazine Team ·
What does a single source of truth mean when AI agents consume and create data? Leaders from SAP, Turgon, Skyflow and AtScale point to semantic layers, permissions that travel with data, agent-generated data and evals against a company's own KPIs.
By The AI Enterprise Magazine Team ·
General-purpose AI tools often win analytics pilots and then break down at scale, says WisdomAI's Geetesh Iyer. The missing piece, he argues, is managed enterprise context, and the people best suited to own it, AI context engineers, are already on data teams.
By The AI Enterprise Magazine Team ·
Data lakes and lakehouses were built for human users, not agents that run around the clock and scale to thousands, says Teradata's Ben Sanders. He explains why pilots break in production, how missing context drives up cost and latency, and the six components of enterprise context.
By The AI Enterprise Magazine Team ·
Data quality is an input, not the goal, says Informatica's Peter Manta. What matters is whether AI agents make good decisions. He outlines six pillars of an agentic data contract and an experiment showing that even 10% duplicate data changed agent decisions.
By The AI Enterprise Magazine Team ·
Precisely's agent checks data quality scores before it acts and repairs failing data through governed pipelines. Coder runs coding agents in self-hosted, sandboxed workspaces with budgets, session logs and human-owned pull requests.
By The AI Enterprise Magazine Team ·
An AI system can look perfectly healthy and still be wrong. Leaders from SAP, Dynatrace and RaceTrac lay out what to measure beyond accuracy, how to catch drift and how observability creates the audit trail AI governance depends on.
By The AI Enterprise Magazine Team ·
News · Observability & Data Quality
Dynatrace will pay about $915 million for Arize, folding a leading AI evaluation and agent observability platform into mainstream IT monitoring as enterprises look for proof that production agents are working.
By The AI Enterprise Magazine Team ·
Top 100 Data + AI Leaders
AI Connect recognizes the leaders across industries driving innovation in data and AI, across the DFW Metroplex.
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The Inc. 5000 recognizes independent businesses that have achieved exceptional growth while driving innovation in 2026.
Top 100 Data + AI Leaders
AI Connect recognizes the leaders across industries driving innovation in data and AI, across the SF Bay Area.
Top 100 Data + AI Leaders
AI Connect recognizes the leaders across industries driving innovation in data and AI, across New York City.
Top 100 Data + AI Leaders
AI Connect recognizes the leaders across industries driving innovation in data and AI, across greater Chicago.
Top 100 Data + AI Leaders
AI Connect recognizes the leaders across industries driving innovation in data and AI.
Honoring the executives building the foundations for AI-driven enterprise transformation, city by city.



