āI absolutely love your content ā simply the best I have seen so far (I follow you on LinkedIn as well).ā - Rob
His only ācomplaintā? Thereās too much of it to get through.
Fair point. So this week Iām adding a quick If you only have 15 mins section for exec readers. Four standout posts, then the rest of the weekās writing and podcasts below.
I appreciate the feedback, so I can make this better for you. Keep it coming.
ⳠIf You Only Have 15 Mins⦠Executive Picks
š AI Isnāt the Value Prop. Outcomes Are.
Buyers care less about your model and more about the relief it delivers - fewer false positives, faster triage, and measurable wins. This post distills what enterprise AI buyers actually want, from explainability built-in to augmentation over rip-and-replace. If you sell AI, this checklist could save your next deal.
Read post ā
š¤ Agentic AIās Tautologies and Flips.
Deloitte says agents are valuable because they deliver āagentic value.ā I unpack the circular logic, flip each premise, and focus on why autonomy only matters when it drives real gains. Governance belongs upstream, complexity is a warning label, and inevitability isnāt insight.
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š What Your AI Agent Is Really Buying.
Agents donāt shop like humans - or like each other. New research shows even tiny changes in wording or layout can swing decisions. The e-commerce future isnāt persuading people; itās optimising for models. Think āmodel-aware storefrontsā and a total rewrite of the buying funnel.
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š AI Colonialism Is Here. Europe Has a Choice.
The US and China are locking in AI dominance through chips, APIs, and compute. Europe still leads ethically - but without infrastructure sovereignty, values are just aspirations. Thereās a window to build democratic, federated AI systems⦠and itās closing fast.
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š This Weekās New Podcast ā Episode 7: The Snark Awakens - Dropped Early
āEach week the show is getting better.ā ā
We only paid $12 for that review. Statistically, that makes us the best AI podcast per dollar spent. š
From GPT-5ās human paradox to the first AI slur (āClankerā) and AT&Tās breakup-letter memo,
and I cover: why bigger models need more human scaffolding, Shopifyās AI e-commerce masterclass, Metaās AGI without a map, and the corporate missteps you couldnāt make up.šŗ Watch ā | š§ Listen ā
š The Rest of This Weekās Posts
š® Kids Outsmart AI Age Gates.
UK kids bypassed biometric checks with Death Strandingās Norman Reedus - complete with blinking and smiling on cue. If they can beat age-gates with a PlayStation, āStudy Modeā in ChatGPT wonāt stop them either.
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š§ Persona Vectors & Persuasion Engineering.
Anthropic can now map and steer latent model traits like sycophancy or malice. Itās a breakthrough in alignment - and a tool for engineered influence.
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ā AgentOps as a Discipline.
Agents fail in predictable ways - faulty reasoning, lost memory, broken tool use. Itās time to treat operations as seriously as DevOps.
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š Agents in Complex Systems.
Dave Snowden warns: the most dangerous systems are those that think theyāre ordered but arenāt. Agents risk replacing lived wisdom with confident guesswork.
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š¼ Pinterestās Small-Model Breakthrough.
Pinterest beat GPT-4o with XGBoost at massive scale - not by scaling the model, but by scaling the fit between task and abstraction.
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š Academic āVibe Codingā.
Yes, āvibe coding is a methodologyā is a real academic phrase. Peak 2025. š
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š After the AI Hype.
LLMs are entering consolidation - orchestration, distribution, and readiness now matter more than novelty. For a longer take on what the future phase of AI looks like, check out my deeper Substack dive.
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š§ Temporal Agents & Meaning.
OpenAIās temporal knowledge graphs + Tony Sealeās business ontologies = agents that can reason in the language of time and meaning.
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š TAM: The Universe.
Paraphrasing an AI pitch: TAM is every being in the universe. Moat? Existential inevitability. š
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šŖ GPT-5ās Human Paradox.
The more powerful the model, the more it needs us. The more it needs us, the less power the model itself needs. Paradoxical, right?
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š¤ What Is an Agent?
Three criteria from Duke University: environmental impact, goal-directed behaviour, and state awareness.
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šŖ AGI & NoosemƬa.
From ELIZA to modern LLMs, weāve projected mind onto mimicry. Now it has a name: NoosemƬa.
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š Last Weekās Podcast ā Episode 6: Surprisingly Not Too Miserable
Geopolitics, layoffs, surveillance, contextual lock-in, and Chipotle doing AI right.
šŗ Watch ā | š§ Listen ā
Thanks for reading.
If something here made you pause, thatās the point.
And if it made you laugh, even better - because weāre going to need humour if weāre going to make it through the hype.
Until next week,
Stuart x
Seen something here you want to unpack with your leadership team?
I run briefings and workshops tailored precisely for that.
You can also work with me in a fractional advisory, product, or AI strategy capacity - bringing ongoing insight, strategic framing, and challenge at the leadership level.
If your leadership team needs clarity - not theatre - letās talk.
I don't know who Rob is, but I want to thank him. The 15 min section is the best counteract to the FOMO on your prolific content.
There's so much value in these digests, Stuart! Thank you!