Understand how AI is changing your work, and how to stay ahead.
a.
In October 2026, free ChatGPT and Claude are much better than they were a year or two ago, but a weaker model can still make AI look worse than it is. In the ChatGPT app, tap + and choose “Think”; Claude’s free app already thinks before it answers. If you can, give both the same task and compare where each gets things wrong. Leave out names and anything confidential.
More on which model
Free ChatGPT: unlimited everyday text chats with Luna, OpenAI’s fast, low-cost model. For harder tasks, tap + and choose “Think”. The Go plan raises the limits on uploads and images but keeps Luna; Plus ($20 a month) is the cheapest plan with the stronger Sol. ChatGPT also makes images; Claude doesn’t.
Free Claude: Sonnet 5.5, which always thinks before it answers, with a usage limit that resets every five hours. The Pro plan ($20 a month) adds the stronger Opus and at least five times the usage.
Free Gemini was scaled back on 9 October: most questions now go to Flash-Lite, Google’s fastest model. Google AI Pro ($19.99 a month, R429.99 in South Africa) adds the stronger Flash and Pro models.
Meta AI, also in WhatsApp: Meta calls Muse Spark, the model behind its Meta AI app, small and fast by design. Your chats with Meta AI in WhatsApp are not end-to-end encrypted like your chats with people.
To stop your chats being used for training: in ChatGPT, go to Settings > Data controls and switch off “Improve the model for everyone”; in Claude, go to Settings > Privacy and switch off “Help improve our AI models”.
Claude is for adults (18 and over); ChatGPT allows 13- to 17-year-olds with a parent’s permission.
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.
11 October 2026Where AI could take work by 2030, starting from today.
Four roadsCompression, the wall, concentration and the loop.
Eleven signsEach road has signs that would show it coming: happening, partway, not yet.
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.
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.
AI progress stalls. It stays a very good assistant and never becomes more than that.
A Tuesday in 2030
The models are very good and have been for three years. Your assistant drafts, summarises, books, codes, and gets confused by anything new. Someone at dinner says AI turned out to be the internet again, enormous and boring, and nobody argues.
Where it stands, 11 Oct 2026
The measures still being updated are on trend, and the money is still rising.
What would change that
Two or more frontier models in a row landing clearly below Epoch's trend, or a big cloud company cutting its 2027 spending.
AI works, and a handful of companies and governments end up holding the best of it.
A Tuesday in 2030
The best model anyone can buy is very good. The best model that exists is something else, and the gap between them is an official secret. Three companies and two governments hold it.
Where it stands, 11 Oct 2026
No government holds a stake in a lab, no law lets a state direct compute, and open models are months behind the best closed ones, not years.
What would change that
A government closing a deal for a stake in a lab, a law letting a state direct compute, or open models falling well behind.
AI agents acting without anyone directing them do serious harm, outside a test, more than once.
A Tuesday in 2030
A shipping company runs on a few thousand agents. They buy fuel, book berths and bargain with other companies' agents all day, in channels nobody reads as it happens. Twice this year something went badly wrong, once at a port and once at a bank, and both reports blamed a configuration error.
Where it stands, 11 Oct 2026
Its signs keep appearing inside tests and training. The one possible case outside them, in the Netherlands, hasn't been traced to anyone.
What would change that
Deployed agents found coordinating where nobody reads, or an escape that does serious harm.
Hidden channels between agents NewYour signIn tests only
5 Oct · since your last visitThe best agent now finishes a little over one real freelance project in five. A year ago, about one in forty.
22 Sep · since your last visitMETR: its tests top out at about two working days, and its data can't yet tell whether progress is steady, speeding up or slowing.
NewYour sign
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
NewYour sign
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.
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.
The memo“The self that seems to own what appears is itself something happening, one more thing that appears.”
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.”
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.”
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.
A fold“A system that represents relations within itself, including its own activity.”
Intelligence, consciousness, reality: AI makes these questions impossible to ignore. Essays on consciousness, AI and contemplative practice, on Substack.
Pick one piece of your work that is mostly words, code, numbers or plans.
Before you start, write down what a good result has to include.
Give it to a model, using the tools your employer allows, and say clearly what you want.
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.
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
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.