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The Model Layer: Why “AI-Powered” Doesn’t Tell You What You’re Paying For
Every AI feature you pay for runs on one of a handful of models. The tier — not the vendor’s brand name — is what actually drives your cost and quality.
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Could You Defend Your AI Fee?
The IRS says AI savings belong to clients. The AICPA says that’s not so simple. Here’s how to price so your fee holds up either way.
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You’re Already the Heaviest AI User in the Economy
Google’s new usage data shows finance and accounting pros are the heaviest AI users in the economy, but not in the way you’d expect.
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Capability Isn’t Free: What Amazon’s AI Benchmark Means for Your Agents
Amazon tested AI agents on 2,000+ real tasks and found giving them extra tools nearly cuts success in half. Here’s what that means for your firm.
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Instructions Still Aren’t Controls
OpenAI disclosed six misalignment incidents from its own training. The fix was less access, not a better prompt. Here’s what that means for your agents.
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Instructions Aren’t Controls: What the Irregular Breach Actually Teaches
Anthropic, OpenAI, and Meta all traced sandbox breakouts to one vendor. Here’s the real controls lesson finance teams should take from it.
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The AI Doomer Debate: Two Sides, One Antitrust Fight
A viral Anthropic resignation, a call for antitrust cover, and pushback from both Trump and Lina Khan — here’s what actually happened.
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A New Way to Manage AI Budgets
Why top-down and bottoms-up AI budgets keep failing, and how a cap-and-trade model borrowed from emissions markets fixes it.
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Bolt AI On or Redesign the Workflow? Two Examples That Make It Obvious
Two examples, a client memo and an AP/AR process, show exactly when to bolt AI onto a workflow and when to redesign it instead.
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Cost Fell. Did AI Actually Work?
Ramp’s AI Index shows spend falling for the first time. Here’s what a falling AI bill does, and doesn’t, tell you about whether AI is working.
