Category: AIFluency
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AI Is Not Neutral, and Pretending Otherwise Is the Problem Bottom line: every AI model reflects a value system, whether that value system comes from a government’s law or from a training process. The honest move is naming that plainly. The dishonest move, the one causing most of the actual damage in this debate, is…
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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…
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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…
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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,…
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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…
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Bottom line: ChatGPT-or-nothing was never a strategy. It was a habit. The next question most small businesses skip is the practical one: if not just ChatGPT, then what? Before we get into how these tools fit inside your operating environment next week in Part II, you need a working map of what is actually out there.…