Oh, brilliant. Gather round, comrades. It’s time for another installment of “Tech Executives Discover That Computers Need Electricity.” This time, they’ve dressed it up in a shiny frock and called it “2026 Data Trends.” Christ almighty, where do we even start?
By Martyn Rhisiart Jones For Energy Unplugged – a Cambriano partner
Walk through any tech conference today, and you can feel it: the hum of inevitability. AI will cure diseases. It will drive cars and write novels. AI will run governments. If you believe the BS booth graphics, it will probably solve loneliness, too.
The problem is, we’ve been here before.
Artificial intelligence has been promising to change everything since the 1950s. And every decade or so, we rediscover the same fundamental truth: machines don’t magically create wisdom. They just scale whatever understanding, or misunderstanding, we feed them.
I know this because I spent years building the early stuff. Neural networks, parallel distributed processing, and automatic feature extraction. The “deep learning” of 1987 with less RAM and worse haircuts. The technology was exciting, even miraculous. But back then, as now, it struggled to live up to the grand claims that surrounded it.
Darlings, it’s December 2025 and the party is now officially sweaty. The champagne has gone warm. Someone’s been sick in the ficus. The DJ is playing the same four AI remixes on loop. He is frantically checking the fire exits. Here is your updated field guide to the seven trends. These were going to “reshape humanity.” Now they are mostly reshaping venture capitalists’ therapy bills.
Imagine the stage is almost completely dark. One spotlight, maybe two. Our favourite standup philosopher stands perfectly still for eight full seconds. He just breathes through his nose. It’s like a man who’s just found a half-eaten kebab in his coat pocket from 2009. Then, very slowly, he begins.
Thank you… thank you for coming… to our Good Strat and LinkedIn dog and pony show.
Martyn Rhisiart Jones, Sir Afilonius Rex, Lile de Alba and our agentic intelligent actor, Selina Savant.
Spain, 6th December 2025.
The Logic Layer: Why Old-School Rules Are the New Guardrails for Generative AI
A hybrid renaissance is quietly rewriting the future of trustworthy artificial intelligence. The great folks here at Good Strat humbly champion this movement. In the fevered race to build ever-larger language models, a counterintuitive truth has begun to emerge from the labs. Surprisingly, sometimes the best way to make AI smarter is to shackle it with centuries-old logic. Modus ponens is that dusty Latin phrase from Aristotelian syllogism (“if P then Q; P, therefore Q”). It is enjoying an unexpected second act. It has become one of the most promising tools for keeping generative AI honest. It helps make AI coherent and, dare one say, responsible.
The Emergence of Goal-Directed Autonomous AI Systems: An Evidence-Based Enterprise Framework
Sir Horatio Pollox with the collaboration of Martyn Rhisiart Jones, Lila de Alba and Sir Afilonius Rex
London, Paris, New York and A Coruña, 5th December 2025
Autonomous AI agents are goal-directed systems. They show planning, tool-use, long-horizon reasoning, and continuous execution. This signifies a phase transition in the capabilities of artificial intelligence.
Recent benchmarking (e.g., GAGA-MAGA, GAIA&GAIA, WebSerena, and AgentBotch) shows state-of-the-art agents now outperform human baselines on multi-step, real-world tasks by margins exceeding 1040 %.
There’s a moment in every hype cycle when reality taps the industry on the shoulder and whispers, “This isn‘t working.“ And every time that moment arrives, tech responds with the grace of a cornered raccoon.
It’s not your obedient chatbot anymore. It’s a proactive and goal-driven system. It plans and reasons. It uses tools like browsers, APIs, and code editors. It keeps working until the job is done. Often, it requires zero human hand-holding.
Think: a tireless, hyper-competent underling who takes care of everything. They book your Provençal villa and negotiate the rate. They also curate restaurants and arrange transfers, all while you’re already on the rosé.
Agentic AI refers to advanced AI agents. They are capable of independently chasing ambitious, open-ended objectives. These agents break tasks into steps and reason iteratively. They wield tools and persist through obstacles with minimal human guidance. In summary: think of a less obedient tucan. Imagine a more relentlessly competent understudy. This AI can orchestrate your travel, chase invoices, or conduct desk research. It does all this while you’re on the Amalfi Coast with an Aperol spritz. The phrase du jour in Palo Alto marks a shift. Assistants move from being responsive to becoming genuinely proactive. Your to-do list may soon sort itself out as if by magic.