-
What the Evidence Actually Shows Bottom line: there’s a real foreign influence campaign working to turn Americans against AI infrastructure. There’s also real, homegrown, legitimate concern about data centers that has nothing to do with foreign influence. And there’s a real risk on the other side of the ledger, from the AI models those same…
-
Bottom line: If you think ChatGPT and AI are the same thing, you’re navigating a much bigger, faster-moving market with a blindfold on. In the last week alone, OpenAI, Anthropic, and Google all shipped or surfaced meaningful model updates. That is not noise. Each release changes what is possible, what it costs, what risks need…
-
You Need Someone to Ask. Bottom line: Many small businesses may not need a major AI project to get unstuck. They need a trusted person they can ask practical questions, pressure-test decisions with, and call before a confusing tool pitch turns into an expensive mistake. Almost every conversation I have starts the same way. Someone…
-
You Don’t Need to Hire an Advisor to Think Like You Have One Bottom line: if you run a small business without a marketing person, a bookkeeper, or a lawyer on retainer, a paid AI subscription is the closest thing to hiring all three for $20 to $30 a month. The tool matters less than…
-
Bottom line: The sticker price is the smallest number in this decision. What actually determines whether an AI investment pays off is total cost of ownership measured against a defined outcome, and most organizations skip defining the outcome, which means they can’t measure the ROI, which means they can’t tell the difference between a working…
-
Bottom line: Security protects your data. Governance decides who is accountable when AI uses that data and gets the answer wrong. Those are different problems. Treating them as the same thing is how organizations end up with a clean security checklist and no defensible answer when something breaks: who approved this, who owned the risk,…
-
The Foundation AI Will Not Fix for You Bottom line: AI will not fix a broken process. It will automate that process faster, scale it farther, and make the output look more credible than it may deserve. If the workflow is undocumented or the data foundation is weak, the system will not quietly compensate. It…
-
People, Fluency, and the Factor Everyone Skips Bottom line: AI readiness is not a technology checkpoint. It is a people, fluency, and leadership commitment checkpoint. Models can work. Security controls can hold. Platforms can integrate cleanly. But if people do not understand why the change matters, how to use the tools responsibly, or what the…
-
M365, Google Gemini Enterprise, and AWS Compared Bottom line: Microsoft 365 Copilot, Google Gemini Enterprise, and AWS Bedrock can all be secured well. The deciding factor is not which vendor has the best security story. It is how much security work the platform handles for you versus how much your team must configure, monitor, and…
-
Bottom line: In last week’s Part I, I shared the basic vocabulary: ChatGPT, Claude, Gemini, Grok, Perplexity, the open-weight tier, and where Microsoft’s own model ambitions currently stand. Knowing the models was step one. The harder, more expensive question is the one most small businesses often skip: which ecosystem do you build on? In 2026, you…