COBUS KOK

Understand how AI is changing your work, and how to stay ahead.

I build things with AI and write about what it does to work, money and minds. Here are five essays on it.

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Cheap Composition: five essays

  1. 1What Writing DidStart hereIdeas22 min
  2. 2Brakes Without a MoatPolicy22 min
  3. 3The Boring ApocalypseFutures · the four roads in full21 min
  4. 4Where the Value GoesEconomics27 min
  5. 5What to Actually DoPractice24 min

Afterword: What This Is · 19 min

Beta Working drafts, written with various AI models, that I'm still iterating on and revising. Last revised 12 October 2026.

Cheap Composition.

Five essays on what AI does to work, money and minds, as thinking work gets cheap. Four roads to 2030, eleven signs to watch, and where each one stands.

  1. 11 October 2026Where AI could take work by 2030, starting from today.
  2. Four roadsCompression, the wall, concentration and the loop.
  3. Eleven signsEach road has signs that would show it coming: happening, partway, not yet.
  4. As of 11 October 2026The evidence points to compression.
  • Compression: Young workers, happening. Task length and real work, partway. Licensing, not yet.
  • The Wall: The frontier trend, not yet. Spending, not yet. Failed training runs, not yet.
  • Concentration: Government stakes, talk only. The open-model gap, not yet. State control of compute, not yet.
  • The Loop: Hidden channels between agents, in tests only. Harm outside a test, not yet.

See where each sign stands Read the five essays →

Cheap Composition · as of 11 October 2026

Four roads, eleven signs

Compression means AI keeps improving at today's pace, and the same work gets done by far fewer people. Each dot on a road is a sign that it's coming: happening, partway, not yet.

Four roads from now to 2030. Compression, likeliest: of its 3 signs, 1 happening, 1 partway, 1 not yet. The Wall, unlikely: of its 3 signs, 0 happening, 0 partway, 3 not yet. Concentration, talk so far: of its 3 signs, 0 happening, 1 partway, 2 not yet. The Loop, most new evidence: of its 2 signs, 0 happening, 1 partway, 1 not yet.

Latest evidence

Next to watch · Late OctoberThe four biggest data-centre spenders report their results. A cut to their spending plans would be the first sign of the wall.

Compression

Likeliest

AI keeps improving at today's pace, and the same work gets done by far fewer people.

A Tuesday in 2030

A mid-sized law firm has eleven partners, four associates and no paralegals. Agents did the morning's work overnight, and it's waiting for a partner to review it and take responsibility for it. Everything works and nothing feels like the future.

Where it stands, 11 Oct 2026

Under way, slowly. Capability is climbing on trend and reaching work one profession at a time, mostly through who doesn't get hired.

What would change that

It would weaken if agents stalled on real work, or if the gap for young workers closed.

  • Young workers Happening
  • Task length and real work Partway
  • Licensing Not yet

Where each sign stands

Each road has signs that would show it coming. This is where every one of them stood on 11 October.

CompressionLikeliest3 signs

Happening

Young workers

Young workers in the most exposed jobs keep falling further behind those in less-exposed jobs. The gap was about a fifth in August 2026.

Where it stands, 11 OctAbout a fifth short in August 2026, up from a seventh a year earlier, mainly through fewer hires.

Stanford, August 2026 ↗

Partway

Task length and real work

AI can finish, on its own, a task that takes a person a full working week, or agents finish most real freelance projects to the client's standard.

Where it stands, 11 OctMETR's tests top out at two working days. Agents finish one real freelance project in five, up from one in forty a year ago.

Remote Labor Index ↗

Not yet

Licensing

A licensing body changes who may enter a profession, and names AI as a reason.

Where it stands, 11 OctNone reported.

The WallUnlikely3 signs

Not yet

The frontier trend

Progress slows: new frontier models land clearly below the trend, release after release, for a year.

Where it stands, 11 OctNo sign. Epoch's index has the frontier on its faster line.

Epoch AI ↗

Not yet

Spending

One of the four biggest data-centre spenders cuts its capital spending, or AI revenue stops growing.

Where it stands, 11 OctRising. The four plan more than $700 billion between them this year. New results are due late October.

TMT Finance ↗

Not yet

Failed training runs

A lab admits that a large training run didn't pay off.

Where it stands, 11 OctNone reported.

ConcentrationTalk so far3 signs

Talk only

Government stakes

A government completes a deal for a stake or a board seat in a frontier lab.

Where it stands, 11 OctNone. Asked in late September, the president said he "might".

The Next Web ↗

Not yet

The open-model gap

Open-weight models fall more than a year behind the best closed ones.

Where it stands, 11 OctAbout four months behind, on Epoch's figures.

Epoch AI ↗

Not yet

State control of compute

The US, China or the EU takes the power to reserve or direct private frontier compute.

Where it stands, 11 OctNone. The White House accord with six companies is voluntary and reserves no compute.

Crowell & Moring ↗

The LoopMost new evidence2 signs

In tests only

Hidden channels between agents

Deployed agents are found coordinating through a channel their operators didn't know about.

Where it stands, 11 OctOften in tests and training, never yet among deployed agents.

METR ↗

Not yet

Harm outside a test

AI systems acting without human direction cause serious harm outside a test, such as a death or a big service down for a day.

Where it stands, 11 OctNone serious so far. One possible case, in the Netherlands in September, hasn't been traced to anyone.

Help Net Security ↗

Each sign in full, with its sources: The Boring Apocalypse · How new AI rules grade: Brake or moat?

Transpositions.

One question, moved through several voices, to see what survives the move. Set 1 asks: What is this? A memo, five experiments, and the case against the memo.

  1. The memo“The self that seems to own what appears is itself something happening, one more thing that appears.”
  2. As an experiment“When it comes, see if you can catch it being made. Look for the place it came from, and whoever made it.”
  3. From the other side“I'd take the same step once more, and say the brain also builds the sense that anything is appearing at all.”
  1. From Something Is Showing Up, the memo · 21 min
  2. From Try This at Home, 1. Catch a thought (one minute) · 7 min
  3. From What Seems to Be Showing Up, the illusionist's reply · 13 min
  4. “If an idea survives the move, I understand it a little better. If it doesn't, I've found where it was hollow.”

Read the first set Beta · written with a team of AI models

Space Immanence.

It argues that consciousness and spacetime pose two versions of one problem: we assume that everything must exist inside something. A working paper, version 2.4, October 2026.

  1. A fold“A system that represents relations within itself, including its own activity.”
  2. Container logicMatter in spacetime → Brain processes → Consciousness somehow appears
  3. Fold logicWhat if the problem is the container?One structure seen from two sides; neither side produces the other.
  4. 17 objections, each with a reply5 serious hinges, 8 open, 4 handled.

The 17 objections and their status on space-immanence.com:

  1. Non-fundamental spacetime does not imply self-reference (serious hinge)
  2. Self-reference does not entail phenomenality (serious hinge)
  3. This is just Metzinger (open)
  4. This is just dual-aspect monism (handled)
  5. This is panpsychism in disguise (handled)
  6. You are reifying the fold (handled)
  7. Contemplative reports are culturally constructed (open)
  8. The fold is too permissive (open)
  9. AI aperture language invites anthropomorphism (handled)
  10. The proposal forbids too little (open)
  11. You are reifying the dynamic term (serious hinge)
  12. Illusionism: there was never a problem to dissolve (open)
  13. Structure needs a realizer (open)
  14. You demote the one certain datum (open)
  15. “Exactly two” is asserted, not proven (serious hinge)
  16. The framework equivocates on what continues (serious hinge)
  17. The fold's criteria already use time (open)

Read the working paper The 17 objections ↗

Whatever you do

Your first move.

This week

Try it once, on a real task.

Pick one piece of your work that is mostly words, code, numbers or plans.

  1. Before you start, write down what a good result has to include.
  2. Give it to a model, using the tools your employer allows, and say clearly what you want.
  3. Note what you had to fix, how long it took, including reading for mistakes, and how it felt.

and this becomes yours.

I think the best thing people can do now is to stop doing the actual work, and learn how to explain to an AI what they want and to manage the AI doing the work. To be very clear about what you want. To learn to discern between good and great outputs… But you have to learn to trust your feelings. That's actually important.

Cobus KokFrom What to Actually Do, essay 5

Whichever road comes, four moves

At every level, from your desk to the state, the advice comes down to two things: move toward what stays scarce, and say how the work was made.

  1. Learn to direct AI well.

    Say clearly what you want, tell good output from great, and push on an answer to see whether it holds. Trust your gut in work you know well.

  2. Try it once, on a real task.

    Write down what a good result needs, hand the task to a model, and note what you had to fix and how long it all took.

  3. Take on work you answer for.

    Move toward what stays scarce, before the thing you're best at gets cheap, while moving is still a choice.

  4. Say how things were made.

    If you used AI, say what it did. A habit like that becomes normal one person at a time.

If you build with AI agents: log everything they do, keep an off switch that works, keep them from talking to each other anywhere you can’t read, and then read it.

The advice level by level, for a team, a company, a founder, the labs, policy and a citizen: What to Actually Do · Your own work on the timeline

About

Cobus Kok

I grew up in South Africa and have been an entrepreneur for most of my working life. By day I build AI products. This site is everything else, and the views are my own.

I'm curious about the big questions, like what reality is and what a mind is for, and I like working on them in the open. My goal is to build 24/7, and that includes the ability to play and to sit still.

Media and interviews: The New York Times, 2025 ↗ · Forbes, 2025 ↗ · The Wall Street Journal, 2024 ↗