--- title: The Future of Work with AI date: '2026-03-11T13:56:58+08:00' categories: - education - llms - how-i-do-things description: As intelligence gets cheaper, valuable work shifts toward framing, evaluation, context building, and delegating tasks to agents rather than executing every step manually. keywords: [future of work, AI agents, delegation, problem framing, evaluation, behavior change] --- ![](https://files.s-anand.net/images/2026-03-11-the-future-of-work-with-ai.avif) I often research how the world will change with AI by asking AI. Today's session was informative. [I asked Claude, roughly](https://claude.ai/share/18b521be-1820-494a-8df6-fde71b06fe6f) > Economics changes human behavior. As intelligence cost falls to zero, here are some changes in my behavior [I listed these]. > > Others will have experienced behavioral changes too. Search online and synthesize behavioral changes. It said this. 1. 🟡 People spend time on problem framing & evaluation. AI can execute the middle. (I'm OK at this. Need to do more framing + evaluation.) 2. 🟢 People don't plan, they just build. (I'm [prototyping](https://sanand0.github.io/) a lot.) 3. 🟢 People build personal data & context. (I'm mining my [digital exhaust](/blog/digital-exhaust/).) 4. 🔴 People queue work for agents, delegating into the future. (I'm not. I need to do **far** more of this.) 5. 🟢 People shift from searching to asking for answers. (I do this a lot, e.g. this post.) 6. 🟡 People are AI-delegating junior jobs and developing senior level taste early. (Need to do more.) 7. 🟡 People treat unresolved emotions as prompts. (Need to do more.) Rough legend: 🟢 = Stuff I know. 🟡 = I kind-of know. 🔴 = New learning. My next question was: > Using economics, psychology, sociology, etc. **predict new behavior changes** and implications. It said: the bottleneck shift to trust, taste, and attention. - 🟢 **Taste is a skill**. **Few** people will deepen craft engagement (reading, cooking, music, ...) but most won't, creating a gap. - Fuzzier areas (e.g. art, philosophy, unnamed ones) have more value than verifiable ones (e.g. code, science) since they're harded to automate. - 🟢 **Context is an asset**. People & companies will record decisions, reasoning, relationship histories, .. to create (marketplace-tradeable) assets. - 🟡 **Trust is an asset**. People who stand behind AI output will create value in law, medicine, education, etc. Consulting will restructure around this. This will [require investments](https://arxiv.org/abs/2602.20946) [#](https://jack-clark.net/2026/03/02/import-ai-447-the-agi-economy-testing-ais-with-generated-games-and-agent-ecologies/) in: - Observability - Human augmentation - gracefully degrading without harm when humans inevitably falter - Synthetic practice - Cryptographic provenance - liability regimes that internalize tail risk - 🟢 **AI-less is exercise**. **Few** people will deliberately train without AI, and will be valuable in niches (sports, emergencies, status-symbols). Exams / filters will partially screen for this. - 🟡 **AI-less feels broken**. AI-speed will be _expected_ in services and interactions. **Relationships are assets** that become valuable and premium. - 🔴 **Orgs re-form**. Org sizes fall. But size has advantages (trust, brand, connects) so new orgs will form with teams evaluated on outcome (portfolio, ROI) and trust (network, ratings). - 🔴 **Experience becomes luxury**. Non-reproducible experiences become expensive. Provable authenticity commands a premium. - 🔴 **Two-speed world**. Some places (countries, companies, colleges, communities) become more AI friendly. Capital, talent and productivity will concentrate here. > What implication will these have on the nature of work? Historically, apprenticeship (execution) preceded mastery (judgement). Now, execution is free. That messes things. - 🟡 **How do we develop judgement?** Simulators, red-teaming, AI-free tests, ...? - 🔴 **What will managers do?** Less coordination & oversight. More judgement (validate output not process), motivation, accountability. Like a film director, not supervisor. - 🟡 **How will we hire/pay?** More outcome-based hire/pay. More freelancing, portfolio or reputation based hiring. Long-term retainers reserved for trust. - 🔴 **How will we describe our work?** Less about tasks (which AI does) and more about who you are, where you fit, what you contribute. So work will organize around: - **Trust**: context, judgement, accountability - **Presence**: caring, building with hands, performing, connecting - **Direction**: framing, evaluating, curating ... and less around **translation** (execution, coordination, oversight).