Shayne Heffernan, Economist and Excogitator

Every financial revolution has changed the speed and the surface of finance without changing its substance. Debt cycles still overshoot. Inflation still compounds. Bubbles still form around the new thing while the old rules keep applying. What is different this time is that intelligence itself has become abundant, and everything abundant gets cheap. The scarce thing now is a distinct human presence: judgement shaped by real consequence, taste built over decades, and the willingness to care about a question for longer than is efficient.

I write about that gap most days, and I build in it the rest of the time. Forty years across capital markets, venture capital and emerging technology, and the part that still cannot be automated is the judgement about which question was worth asking. Everything below is published at Live Trading News, wrapped in post-quantum cryptography and anchored on chain at the moment it goes out. The text cannot be altered. Change a word and it is re-signed and re-stamped, and the chain records the new time, so every version and every date stands permanently on the record.

AI

The build-out, the quantum timeline, and what any of it is actually for.

Thinking

Judgement, independence, and staying non-fungible in an AI world.

Markets

Stocks, macro, ramblings and the KXCO build.

Longevity

Healthspan science, and separating the evidence from the sales pitch.

Life

Food, travel, sport, and the unoptimised parts that refill the well.

Latest

28 October 2026

The State of the AI Market in Wartime: Chips, Power and the Defence AI Companies

The AI market is now decided by physical capacity, and this year it went to war. US forces used Palantir's Maven against 13,000 targets in the 38 days of Operation Epic Fury, per the Pentagon's AI chief, while hyperscalers called for about $730 billion of 2026 capital spending, per CNBC. Shayne Heffernan reads demand, chips, power, the Gulf escalation around the 3 November midterms, and the defence AI companies: Palantir, SpaceX and xAI, Anthropic, OpenAI, Alphabet, Anduril and Shield AI.

27 October 2026

Our Consciousness Is Linked to Our Humanity, and AI Should Extend It

The only systems in which science has strong evidence of consciousness are living animals, and the only consciousness any of us knows from the inside is human. Shayne Heffernan argues that our consciousness is linked to our humanity: it grows out of a body keeping itself alive and becomes a self through a human upbringing. AI can extend that consciousness. On today's evidence it does not share it, so AI should be built as an instrument of human minds.

25 October 2026

United States vs China: AI Models, Compute, Quantum and Electricity

The United States still leads in frontier model capability, total AI compute and quantum error correction, while China has narrowed the gaps in model performance, open-weight adoption and domestic chip volumes, and holds a structural advantage in power for data centres. Shayne Heffernan sets out the developments from July to October 2026 across models, compute, quantum and electricity, and how fast China is catching up.

22 October 2026

The 2030 Compute Landscape: GPUs, Power and the Architecture of Intelligence

The constraint on AI is no longer ideas or data but compute and the power to run it. Frontier training compute has grown about five times a year since 2020, and the leading AI supercomputer of June 2030 is on course for about 2 million chips and 9 gigawatts. Shayne Heffernan sets out the 2030 arithmetic, the power problem, who has already contracted the gigawatts, and how GPUs, custom ASICs, wafer-scale engines and quantum machines divide the work.

20 October 2026

Harvest Now, Decrypt Later: Why KXCO Took Its Ontologies Private

For more than 90 days KXCO ran its ontologies in public: the AI sector resolved from six names to one lithography supplier, and Australia's trade with the United States as one sourced record. They proved the method. They are now private, still running, for KXCO and its clients only. Europol's report on harvest now, decrypt later explains why: data collected today will be read when a quantum computer arrives, and a graph of your relationships is the most valuable thing to harvest.

19 October 2026

How Can You Trust AI When You Cannot Trust Humans?

Can you trust AI? Can you trust humans? More often than we like to admit, the answer is no. AI inherits its failures from the human records it is trained on. Sheikh Mohammed bin Rashid wrote this month that the currency the UAE is betting on is trust. This piece sets out what a trust layer has to do, shows the method on three public knowledge graphs, and lays out the post-quantum work KXCO has published so that an institution can check the claim rather than take it.

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