Sam GaddisBook Sam
Menu
Sam Gaddis

Writing

  1. How hard is it to hire a senior engineer who wants to use AI?

    I want to hire experienced engineers who like working with AI. Here is how many there are, why they aren't moving, and what they cost.

    Runpoint · Sam Gaddis

  2. Are markets betting on the end of the Great Stagnation?

    What stock prices, bond yields, prediction markets and professional forecasters say about AI and growth. Most expect a modest step up. The stock market expects more.

    Runpoint · Sam Gaddis

  3. A new kind of model, and we're back on Claude

    Jev reads text and makes a decision. Opus 5.5 and GPT-6 Sol sent our team back to Claude.

    Runpoint · Sam Gaddis

  4. Keep your options open when buying AI

    How to give capable operators access across AI providers, choose monthly plans, and keep company work portable.

    Runpoint · Sam Gaddis

  5. The OpenAI usage debacle

    Competing fixes for AI limits, our Decisions walkthrough, and what personal projects teach us.

    Runpoint · Sam Gaddis

  6. What a Forward-Deployed Engineer Does Inside a Private Equity Portfolio Company

    A plain-English guide to the forward-deployed engineer: what the role owns, how it differs from a consultant or software firm, and when a PE-backed company should use one.

    Runpoint · Sam Gaddis

  7. Before the AI Project Starts

    A short underwriting note for AI projects: know which ledger the project belongs on before anyone starts admiring the demo.

    Runpoint · Sam Gaddis

  8. AI Cuts Hours Before It Rebalances Them

    Alex Tabarrok's labor-hours framing is useful. The harder question is how those gains get distributed when firms are already using AI to shrink teams.

    Runpoint · Sam Gaddis

  9. The Power of "Cloud" Agents

    The most useful agent in my life is not a SaaS product. It is Hermes on an otherwise idle Mac mini, reachable from Slack, with enough access to do real work.

    Runpoint · Sam Gaddis

  10. What Will Your Kids Do?

    An interactive analysis of AI exposure across 342 US occupations.

    Runpoint · Sam Gaddis

  11. The Orchestration Thesis

    Perplexity just launched a $200/month product that coordinates 19 AI models. If the orchestration layer captures the value, what are the model makers actually selling?

    Runpoint · Sam Gaddis

  12. Is Claude Code Safe? The Practical Answer.

    What Claude Code sends, whether Anthropic trains on your code, and the settings that matter for confidential business work.

    Runpoint · Sam Gaddis