Foundations.
- 01
Is your Transfer Office stuck at Stage 0?
Introduces the 0-to-6 AI maturity model for Transfer Offices. Anchor publication: DUZ TransferRaum 04/2025.
- 02
Stop waiting for AI to be perfect.
Argues human-in-the-loop pragmatism beats waiting for flawless models; 50 to 60 percent automation already wins.
- 03
You cannot build AI on paper files: fixing the Digital Basement
Without structured data and digital sovereignty, AI in TTOs is a dead end.
- 04
Beyond the Prompt: why Prompt Engineering is a temporary skill
Move from magic prompts to agents and recursive self-prompting.
- 05
The secret skill gap killing AI adoption in Technology Transfer
The missing layer is management judgement, not tool literacy.
- 06
The Brains vs. the Hands: why an Agent is not just an LLM
Sealed-room doctor versus fully equipped hospital; specialist versus flexible agents.
- 07
Stop waiting for IT: Vibe Coding turns transfer professionals into tool builders
Natural-language coding, with strict guardrails around scope.
- 08
Dormant to Dynamic: five moves to unlock AI fluency across your TTO
Systematic discovery, real hours, shared failures, AI Labs, champions.
- 09
Make or Buy? The AI Kitchen Dilemma every Transfer Office must resolve
Cookbook, Thermomix, takeaway or restaurant: where to build versus buy.
- 10
We gave 76 Technology Transfer professionals AI Agents
Beta data: power-law adoption, patent analysis dominance, lessons on diffusion.
Deep Dives.
- 11
The Shadow IT Department: when your best people start building what IT will not
The political risk of unsanctioned AI tooling inside TTOs.
- 12
We tried to build a Chatbot for Technology Transfer. It did not know what it is.
The profession lacks a shared taxonomy, so its knowledge base is missing.
- 13
Stop obsessing over LLM benchmarks. Is your problem Thinky, Sweaty, or Shrinky?
Match the problem type to the right model rather than chase rankings.
- 14
Who is listening? Data sovereignty, espionage, and the AI tools you already use
The French Senate scene and the CLOUD-Act-shaped exposure of EU IP.
- 15
The AI Scare Trade: Wall Street and Real Street move together as everyone panics from AI
Market autoimmune disorder reshapes corporate licensing partners.
- 16
The Web is forking: why the Agentic Internet changes everything (Part 1 of 2)
Wallets, machine-readable web and execution environments collide.
- 17
What the Agentic Internet actually means for your Transfer Office (Part 2 of 2)
Collapse of the Valley of Death, agent-led licensee discovery.
- 18
I wanted to learn AI and all it did was make me a better boss
AI exposes lazy delegation; specification engineering as a management skill.
- 19
The Meat Puppet Paradox: when the Agent becomes the Manager and you become the Hands
The dark inversion of who delegates to whom.
- 20
The Anthropic Ultimatum: when the US Government attacks its own AI Champions
DoD versus Anthropic and the implications for European IP sovereignty.
Skills and
Strategy.
- 21
Taste is King: why your most valuable AI asset is the critical thinking you keep throwing away
Building a Taste Repository so corrections compound.
- 22
What does the AI-first Transfer Office have to do with power plants?
Siemens DCS automation layers as the blueprint for the AI-first TTO.
- 23
The Great Unburdening: how AI is dismantling coordination overheads
Most work is synchronisation overhead, and the agents expose it.
- 24
Snow WhAIte and the Seven Dwarfs: the story of the quest for the missing problem type
Completes the problem-type taxonomy with Sparky (divergent ideation).
- 25
The TLDR that took 24 articles to write: 10 things I wish I had said on page one
Ten structural beams summarising the series so far.
- 26
Take off your shoes and empty your pockets: a Trusted Traveller Programme for Innovation Funding
Proposals are now cheap, delivery track-record matters.
- 27
The Trillion-Dollar Telescope pointed away from Europe
The AI infrastructure capex race and the European capital-allocation emergency.
- 28
The Bottleneck is You: how automation can become a self-reinforcing virtuous loop
The operator becomes the architect; closing the AI psychosis gap.
- 29
From Anti-Bot to Agent-First: the transactional architecture is being rebuilt around you
The web flips from blocking bots to serving them as customers.
- 30
Knock, knock, who is there? How an April Fool joke proved that code is no longer a moat
The Claude Code Tamagotchi leak and the Claw Code rewrite.
Architecture
and Agents.
- 31
The Sandwich: how the AI Scientist and the Autonomous Scout are about to crush everything in between
TTOs squeezed between supply and demand acceleration.
- 32
Not all Agents are created equal: the four types of Autonomous AI
Task Harness, Dark Factory, Metric Optimisation Engine, Orchestration Framework.
- 33
The Model they would not sell: what Claude Mythos means for KTT
The Anthropic safety-driven non-release and the urgency of AI safety in TTOs.
- 34
The Competency Stack: seven skills your Transfer Office needs before it deserves an AI architecture
From Specification Precision to Trust Architecture.
- 35
Your Agents work for you. But who else are they working for?
Agentic security: permissive interlocks borrowed from process-control engineering.
- 36
The GDPR Card: how the favourite European regulation became the universal excuse for inaction
Dismantling the seven most common GDPR objections to AI in TTOs.
- 37
Everything Everywhere all at Once: the vertigo of living at AI speed
Five speeds of professional adoption, and the social cost of being fastest.
- 38
The Digital Basement, reloaded
The basement of article 3, three years later: it has become a survival argument as the web forks.
- 39
Why the human voice is our greatest strategic asset
The 60/40 writing workflow and why pure-AI articles felt empty.
- 40
The End of the Twenty-Dollar Buffet: why the subsidised intelligence era is ending
AI pricing reality bites; budget implications for TTOs.
The Seven Dams
and Systems.
- 41
Intelligence is Water: the Seven Dams of the Post-Agentic Web (Part 1 of 3)
Introduces the seven defensible institutional positions.
- 42
Building the Dams: how Transfer Offices channel the flood (Part 2 of 3)
Substrate, Guarantor, Underwriter and Marketplace dams in operational terms.
- 43
The Silt, the Lock, and the Levy: completing the Seven Dams (Part 3 of 3)
Lock, Actuary and Compliance dams, plus the integrated TTO picture.
- 44
Confessions of an AI Junkie (and the Sweaty Dwarf who booked a May Day holiday)
The current frontier-model gauntlet and why agents misbehave.
- 45
The Tool Trap: why the AI-first KTO is a reorganisation, not a subscription
Mode One versus Mode Two and what crossing the line actually costs.
- 46
The Golden Handcuffs of Intelligence: behavioural lock-in as sovereignty crisis
The Conway leak and the persistent agentic OS problem.
- 47
1,239 days down the slide: ten realisations about the economy we now share with machines
Milestone reflection on non-human economic actors.
- 48
The 2026 Stanford AI Report: five shifts Transfer professionals cannot ignore
Talent reversal, opacity, scientific AI, sovereignty, data scarcity.
- 49
Whose Open-Source Model is inside your TTO?
The DeepSeek-derived layer behind European AI vendors and its sovereignty implications.
- 50
Innovation refuses to innovate: the KTO Paradox
Blue pill versus red pill at the personal calendar level; what work to defend.
The Cutting
Edge.
- 51
Meet Johanna Doubtful: an honest hedge across fifty articles
The sceptical senior practitioner persona and the asymmetry-test hedge.
- 52
Europe pours the Digital Basement: the Airbus moment arrives now
EURO-3C, Deutsche Telekom Industrial AI Cloud and the AI Act Omnibus.
- 53
Agentic Grants, MERIT scores, and the end of the written proposal
Funder volumes explode; machine-readable institutional track records as the fix.
- 54
Meet Jack Science: the AI Scientist already in your department
Sakana AI Scientist v2 and the supply-side surge entering the TTO inbox.
- 55
The Thermometer is not a Measurement: why KTH IRL breaks the moment an LLM picks it up
A machine-readable replacement for the IRL coaching scaffold.
- 56
From closed-book execution to open-book judgement: what the higher-education cheating crisis just told your office
Value shifts from recall to judgement.
- 57
The Broken Data Thread: why the innovation pipeline loses its memory at every handover (Part 1 of 3)
Five breakpoints from ideation to impact.
- 58
Naming the third anchor: what an Innovation Lifecycle Management System actually carries (Part 2 of 3)
The ILMS as the missing institutional truth anchor.
- 59
Four Systems, one Shape: the quiet convergence of ERP, CRIS, CMS, and the ILMS (Part 3 of 3)
Platform-first procurement across the four operational systems.
- 60
The Layoff that did not pay for itself
Gartner data on AI-justified layoffs producing zero correlation with realised return.
- 61
The Right to Opt Out: what the Google AI backlash tells us about forced adoption
The DuckDuckGo exit-surge, the off-switch absent by design, and three procurement clauses every transfer office should write this quarter.
- 62
First it looked like PR. Now national security. What next? The Claude Mythos Saga continues.
A US export-control letter switches off a frontier model for every foreign national worldwide; the Sovereignty Thread snaps on a Tuesday afternoon.
- 63
The Tailored Suit with someone else thread: why the Microsoft off-frontier doctrine is a better idea and a worse trap
MAI-Thinking-1, the RL gym, and the CLOUD Act: behavioural lock-in dressed as sovereignty, with the moat built around the vendor.
- 64
Euphoria has a three-week half-life: why KTO AI training keeps failing to yield outcomes
The six-stage grief cycle, the hobbyist paradox, and seven barriers behind the well-documented training-transfer collapse in transfer offices.
- 65
I wanted AI transformation, and all I got was a tool
Three asks a transfer office can make (tool, capacity to build, restructuring); only the third returns the word transformation.
- 66
Anxiety travels faster than automation: what the economists have been trying to tell you about your job
Lump-of-labour, O-ring, demand elasticity, Jevons and the relational sector: five brakes, and the messy-middle scenario that anxiety is really measuring.
- 67
A field report from six countries on the year Knowledge Transfer decided to talk about AI, without yet quite talking about it
Six conferences, one pattern: appetite for AI runs ahead of the printed agenda, and the field is hungry and overwhelmed at once.
- 68
Cognitive Debt Is the New Technical Debt: What the Brain-Rot Research Means For the Next Generation of Knowledge Transfer
Outsourcing analytical work to AI creates "cognitive debt" that erodes critical thinking, creating new KTO diligence risks alongside demand for Socratic tools.
- 69
Six Floors Above the Keyboard: How the Word Prompting Quietly Became Six Disciplines, and Why Manager B Has Already Lapped Manager A on the Same Tuesday
"Prompting" has evolved into a six-floor engineering stack, opening a massive productivity gap between basic chat users and autonomous workflow architects.
- 70
Meet Jill Scout: The Industrial Scouting AI Already Calling Your Faculty
Industrial AI scouting platforms now contact faculty directly to bypass KTOs, forcing offices to deploy their own internal scouting tools or become obsolete.
Verification.
- 71
The Nostradamus Test: Rereading The Villani Oracle Eight Years On
A forensic audit of Villani's 2018 AI report shows why substrate-level questions age well, even as political churn and emerging agentic tech blunted its impact.
- 72
Whose Brain Are You Renting? A Memo for the KTO Director
With US frontier models restricted and Chinese open weights rising, KTOs must weigh steep self-hosting bills against the lock-in of rented AI harnesses.
- 73
The Allow-List Economy: What Government-Gated Frontier AI Means for European KTOs
US export controls have turned frontier AI into a permissioned "Allow-List Economy," urging European KTOs to build sovereign harnesses around open weights.
- 74
The Rufus Problem Comes for Knowledge Transfer
As AI assistants replace traditional intermediaries in corporate scouting, KTOs must publish structured, machine-readable portfolios to remain discoverable.
- 75
The AI Oligopoly Locked In. Europe Barely Noticed
With the AI market consolidating around ChatGPT, Gemini, and a surging Claude in Germany, KTOs must optimize their visibility across distinct regional tools.
- 76
The 800 Billion Dollar Bet Underneath Your Favourite AI Tool
Massive operating losses at OpenAI and Anthropic show current AI pricing is unsustainable, warning KTOs to plan for steep price hikes and vendor volatility.
- 77
The Verification Frontier: Where the Value Went When Generation Went to Zero
As AI commoditizes content generation, KTO value shifts to rigorous verification, requiring junior staff to run cheap generators while senior experts verify outputs.
- 78
Twenty, Nine, Eleven: A Practical Map Of LLM Capability In Knowledge Transfer
KTO workflows split into twenty commodity tasks, nine frontier-only tasks, and eleven human-only tasks, demanding separate budgets and vendor strategies for each tier.
- 79
Verification Engineering: The Four-Step Playbook For The Verification Frontier
Realizing AI productivity gains requires redesigning KTO pipelines around four steps: auditing bottlenecks, building test harnesses, shifting seniors to review, and using frontier models for metacognition.
- 80
A Surplus of Intelligence, a Deficit of Managers
A one-minute, four-question test (size, independence, role conflict, and checkability) helps KTO managers sort tasks across single agents, multi-agent teams, or human judgment.
Edge
Transfer.
- 81
Pacing The Frontier: What Amodei's Slow-Down Plea Means For Your KTO
Anthropic's plea for government-paced AI development highlights Europe's sidelining, reminding KTOs to focus on local infrastructure and practical data risks rather than frontier politics.
- 82
Edge Transfer: The Five Anchors Holding The Ground AI Cannot Take
Eight core KTO tasks remain immune to AI automation because they rely on five external anchors: embodiment, liability, identity continuity, uncodified data, and resource commitment.
- 83
Edge Transfer: Staffing The Edge, The Barbell KTO And The Apprenticeship Repair
AI reshapes KTO staffing into a barbell of machine verifiers and human "edge" roles, requiring paired apprenticeships so juniors still learn critical judgment alongside senior experts.