Analysis and opinion on AI adoption for maritime and professional services leaders.
Why an AI system gives different answers to the same question, what a rounding error in 1961 has to do with your build in 2026, and what it takes to run systems that keep moving.
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In May 2025 I told our industry the safest AI tier started at USD $10,000. That tier now sits on a desk, and deployment starts with a goal stated in your own words. What changed, what it costs, and the three disciplines that decide whether it pays.
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The digital duel that turned into a discipline: AEO in plain words, and what an AEO-informed build changes on a maritime website.
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Five documented builds from the Log Book, and what deployment actually means: tools handed over working, configured to your systems, with documentation.
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What an insurer, auditor or client reads for in an AI use policy: twelve questions that test any draft, template-started or written from scratch, before someone asks to see it.
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What a maritime AI training day delivers: capability people keep, confidence on real tasks, and three documented deliveries from the Log Book.
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Seven days with Anthropic's Fable 5 across client systems, two product launches, and back-burner builds. What one person can carry, and what stays human.
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The buyer's moment when a client, board or insurer asks how you use AI: four engagements from the Log Book, and what a written AI position does for each.
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A year ago, leaders asked whether they should be using AI. Now they ask how exposed they are to what their teams are already doing. That shift is a governance question, even when nobody uses the word.
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When a US directive took Anthropic's newest models offline globally overnight, it made one question visible: if the AI tools your team uses every day were no longer available tomorrow, what would break?
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AI agents can carry real work. Prompt injection is the risk to understand before you let one act for you. What it is, where it hides, and how to stay safe.
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In a small, high-trust industry, personalisation works by knowing the individual, and privacy becomes discretion. Insights from the Yacht Femme Forum panel on data and trust.
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Reflections from ASMEX 2026 on twelve months of AI in maritime: $11.5 billion spent in a single week on deployment, the 95% pilot failure rate, the 10 December 2026 Australian privacy deadline, and the seven things that have shifted under our industry's feet.
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In February 2026, roughly $285 billion was wiped from SaaS valuations in 48 hours. Vibe coding has collapsed the cost of building software, and from 10 December 2026 Australian privacy law requires organisations to disclose where they use it. The standards for governing software have to rise to meet that shift.
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Anthropic is now a Microsoft sub-processor. Claude Opus 4.7 runs inside the same tenant as your data. The agent layer connects to over 1,400 systems. For maritime companies that have been Microsoft-locked and AI-blocked, the procurement gate has moved.
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AI adoption is three decisions at once: technology, business architecture, and human change. A framework from Harvard's Dr Arthur Brooks for discerning which problems belong to AI, and which belong to people.
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What Anthropic's Mythos model means for maritime cybersecurity, invisible AI adoption, and why governance that waits for a crisis to define it arrives too late.
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A practical guide to Claude and the Anthropic product suite for maritime professionals, including how to migrate from ChatGPT, data privacy settings, and the governance considerations that apply to tool selection.
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Three things worth knowing about AI adoption in maritime — organisational AI architecture, agentic workflows, and why starting with implementation is not always the right first move.
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Structured AI adoption means holding five dimensions simultaneously: vision, discovery, security, efficiency, and accountability. Insights from the ISS Education Committee panel in West Palm Beach, March 2026.
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Insights from the USSA Superyacht Summit AI in Marketing Panel, West Palm Beach, March 2026. Digital avatars, AEO, data governance, and what structured AI adoption looks like in practice.
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Understanding how AI systems form their picture of an entity, and doing the structural work to make that picture accurate and confident, is what shifted the results. An Answer Engine Optimisation story.
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The AI model landscape shifts faster than most organisations can respond. A structured guide to the four layers — company, model, product, system — and why model agnosticism is the design principle that matters.
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I have always moved toward things that challenge me. The gap between understanding and not understanding is rarely about intelligence — it is almost always about access.
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OpenAI released GPT-5.2 today — a significant leap in reasoning, decision-making, and complex multi-step tasks. Here's what it means for knowledge work.
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The Australian Department of Industry, Science and Resources released the National AI Plan. Here's a quick TLDR and what it means for business leaders.
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Major governments have released new AI initiatives showing how quickly the global environment is shifting. Here are three current updates shaping the landscape.
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Listening to OpenAI's VP of Global Affairs at SXSW Sydney 2025 made me realise that even frontier leaders feel like they're building the plane in the air.
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A reflection on the SXSW Sydney 2025 Hackathon x Build Club powered by National AI Centre — where the people mattered more than the prototype.
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At the Australian Superyacht Conference, I showed a Digital Avatar demo—a quick look at how AI can work for our industry, not just in theory, but in practice.
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