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Lessons

Lesson 1 · 12 min · Foundation

Auditing Your Role for Automation Exposure

Break your job into routine keyboard tasks versus physical or contextual work, then score each for AI replacement risk.

task decompositionroutine vs contextualdisplacement riskkeyboard work
Free preview

Lesson 2 · 14 min · Applied

Why Skilled Trades May Outlast Knowledge Jobs

Understand why robots cannot yet plumb a house and how physical-craft work hedges against the fastest wave of AI displacement.

robotics lagskilled tradesphysical crafthedging

Lesson 3 · 15 min · Applied

Cultivating Human-Only Skills Deliberately

Identify the judgement, ethical, and relational skills AI cannot replicate, then design a weekly practice routine for each.

uniquely human skillsjudgementethicsrelationships

Lesson 4 · 16 min · Applied

Building With AI Instead of Being Replaced By It

Specify one product or service you can ship using AI as a force-multiplier rather than wait to be replaced by someone who already does.

AI leverageforce multipliersolo businessproduct

Lesson 5 · 13 min · Applied

Funding a 12-Month Transition Runway

Calculate the savings, diversified income, and burn rate you need to survive a full year of career pivot without panic decisions.

runwayburn ratesavingsdiversified income

Lesson 6 · 14 min · Deep practice

Network Effects and Where New Entrants Still Win

Spot which incumbents are protected by network moats and where AI-era openings remain for solo builders who pick the right gap.

network effectsmoatsincumbencydecentralisation

The problem this solves

AI is reshaping knowledge work faster than most companies are restructuring. The first wave of disruption looks like task substitution; the second wave is structural. People who wait until their role gets re-scoped tend to react from panic; people who audit now plan from calm.

This micro-course teaches the practical work: audit your weekly tasks for AI substitution risk, identify the judgement-led / relationship-led / accountability-led parts of your role worth deepening, place asymmetric bets that work across multiple scenarios, build a financial buffer so the conversation can happen from strength not desperation.

A taste of the exercise

The preview lesson walks you through auditing your top 10 weekly tasks, tagging each as routine / judgement / relationship / physical, and identifying one task to automate this quarter and one judgement-led part of your role to double down on.

Key concepts

Substitution risk
Tasks that AI can do cheaper, faster, or comparably well. Drafting, summarising, basic coding, simple analysis, customer support triage.
Augmentation upside
Tasks where AI makes you 2-3x more effective. The same role with augmentation is often more valuable than the role was before; without it, less.
Judgement-led work
Work where the value comes from deciding under uncertainty rather than from execution. AI-resistant for now; concentrate hours here.
Three role versions
Within any disrupted role, three versions emerge: AI-augmented (uses AI well), AI-substituted (mostly automatable), AI-defensible (judgement / accountability / presence). Drift puts you in the second.
Asymmetric bet
An action that has small cost if you're wrong about AI and large benefit if right. Most personal AI bets are asymmetric in your favour.
Decision from strength vs panic
A 6-12 month financial buffer changes which conversations you can have and which options stay open. The buffer is the single biggest determinant of decision quality during restructures.

Common mistakes

  1. Waiting for the restructure announcement.
  2. Refusing to use AI on principle.
  3. Confusing ‘AI-proof’ with ‘AI-resilient.’
  4. Pivoting wholesale every six months as new capabilities ship.
  5. Treating yourself as your job title rather than as your skill stack.
  6. Becoming the loudest doomer in the office.

FAQ

Should I switch careers entirely?
Usually no, and not in panic. Most of your skill stack transfers more than you think. Audit which sub-skills compound, which are commoditising, and which are AI-resilient; deepen the first two within your current career rather than starting over.
What if my whole industry is being disrupted?
Plan a 12-24 month transition, not a panic. Identify adjacent roles where your skill stack still applies; reach out to people already there. Build the buffer.
How fast is this happening?
Faster than most company restructures handle gracefully; slower than the most dramatic predictions. Specific roles (entry-level writing, basic coding, customer support) are seeing real substitution now; most knowledge work is being augmented before being replaced.
Is using AI at work cheating?
In 2026, no — most companies will reward you for shipping more, faster, with AI help. The risk isn't using AI; it's shipping low-quality work because you trusted the first draft. Treat AI like a fast junior — useful, but you're responsible for the output.