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.