The Agent Finished the Job. Where Did the Work Go?
A contract can specify where data may be processed. Can the integrator show where an AI agent actually worked?
Read articleThe blog · Lawrence Knowles
Work, intelligence
& responsibility.
Practical questions about AI, digital labour and the people who live with the consequences. Evidence before enthusiasm. Curiosity before certainty.
Explore the writing ↓Notes from the work
11 articles
The Hidden Danger Isn’t a Rogue AI
When technologies converge, dependency can grow faster than our ability to understand, afford and govern it.
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More Work. Less Understanding. Who Is Still in Control?
More automated work requires the capacity to explain, maintain, challenge and stop it.
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When AI Develops a Gut Feeling, Who Knows When to Doubt It?
Human intuition and machine confidence both need evidence, judgement and the ability to pause.
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The Times Are Changing. Memory Has Never Mattered More.
When AI does the work, “done” needs evidence, a date and a memory.
Read articleAI Can Create Value. The Return Still Has to Be Proved.
Infrastructure spending, model capability and customer profit are different measures. What does one accepted outcome cost?
Read articleThe Work AI Leaves Behind
An agent can finish its part of a task while leaving the organisation with more work to do.
Read articleFive Technical Problems We Had to Address in Agent Control
Timeouts, fresh evidence, bounded concurrency, verification and the complete cost of a job.
Read articleThe Agent Is Cheap. The Dependency May Not Be.
The economics of agents extend beyond the price of a model call.
Read articleWhen AI Does the Work, What Happens to Us?
Jobs, responsibility and who benefits from greater productivity.
Read articleWhen AI takes on real work, who remains responsible?
An AI agent can complete a task and still create an operational failure.
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