Abdul Samad SiddiquiSenior AI Engineer · Karachi

Blog topic

AI business

What AI costs, how companies adopt it, and how to read the numbers.

  1. Diagram of tokens flowing into a usage meter with a rising needle, connected to a bar chart labeled infrastructure bill.

    The meter is on, AI is becoming infrastructure spend

    AI assistants were sold as flat subscriptions, but long-running agents have variable inference cost. GitHub's move to usage-based Copilot billing is a sign AI spend is becoming cloud spend, here's how to budget for it.

  2. Line drawing of a faceless hotel doorman under a canopy, with suitcase, umbrella, clock and key icons orbiting his head on a dashed line.

    The doorman fallacy in AI strategy

    Rory Sutherland's doorman fallacy explains why AI rollouts that only automate the measurable part of a job keep backfiring, and what CBA's reversed layoffs show about it.

  3. A balance scale weighing a valuation weight against a stack of compute cost blocks, beside two meters reading run-rate and recognized revenue at different levels.

    A valuation is not a profit statement

    Anthropic's Series H numbers got read as proof of profitability. Private valuation, run-rate revenue, recognized revenue, margins and compute subsidy are five different things.