Authority Delegates. Accountability Doesn’t.

A loose watercolor print lying on a hotel writing desk at night, showing a blank paper roll with a single blue thumbprint at its head, with the New York skyline soft beyond the window at blue hour.

Hand work to a person, and part of the risk goes with them. Hand it to an agent, and none of it does. The fix everyone reaches for targets the wrong variable.

TL;DR: A human delegate absorbs part of your risk because they have assets, a career, and legal standing of their own on the line. An agent has none of that, so authorizing one concentrates your exposure at the moment it feels like you are sharing it. Liability attaches regardless of how closely anyone was watching the work. People correct AI errors less when correcting costs effort, and money does not help. Skipping every approval prompt is itself the decision, taken once, by one person. Write down what it can reach and what it could destroy before you authorize the next one.

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AI SaaS Pricing: How to Profit When Every Prompt Has a Real Cost

In SaaS, variable costs are familiar. AWS and Azure bills rise and fall with traffic, storage, and bandwidth, but you can usually forecast them and smooth them with commitments.

AI flips the model because cost is triggered by a mixture of behavior and model choice, not just scale. Each generation can add metered COGS, and multimodal makes the spikes sharper: images, audio transcription, voice output, and video generation can cost orders of magnitude more than a short text reply. Retries, longer outputs, bigger context windows, and tool calls amplify this fast.

Then comes the perception problem. Buyers are trained by ChatGPT and Gemini that AI feels cheap or “free” at the point of use, which anchors expectations. The executive challenge becomes defending value and margin while keeping usage predictable.

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