# Dinand Tinholt > AI consultant, researcher, writer and builder. Dutch roots, Chicago home. This site collects essays, research, selected publications, browser apps, reading notes and talks on AI, human oversight, history and society. The site is organized in three wings with seven sections. Every page is static HTML with schema.org JSON-LD; no login or JavaScript is needed to read it. - Full text of every page on this site: https://dinand.com/llms-full.txt - Search index (JSON: title, summary, section, url): https://dinand.com/assets/search.json - Sitemap: https://dinand.com/sitemap.xml - RSS feed of publications: https://dinand.com/feed.xml - Publication pages are short editorial overviews. Each links to the original article (LinkedIn, Medium or Capgemini), which holds the complete, current text. - Pages marked "Working draft" are work in progress; simulation results describe simulations, not deployed systems. ## Essays (Writing) Longer thinking about AI and the people who have to live with it. History gets pulled in whenever it helps. - [Essays overview](https://dinand.com/essays/): section index - [The symbiotic enterprise](https://dinand.com/essays/the-symbiotic-enterprise/): How human judgment and machine intelligence can grow more capable together. (Working draft) - [The past as a compass](https://dinand.com/essays/the-past-as-a-compass/): Old maps and new technologies invite us to examine the assumptions behind what we see. (Working draft) - [Move 37: How Agentic AI Turns Back-Office Drudgery into Bold Process Breakthroughs](https://dinand.com/publications/move-37/): Published on Capgemini, 2026-04-29. Why the larger opportunity in agentic AI is not polishing an inherited workflow, but questioning whether the workflow should exist in its current form. - [How to Make AI Agents Accurate: Stop Treating Memory Like Chat History](https://dinand.com/publications/agent-memory-and-state/): Published on Medium, 2025-12-17. A practical approach to keeping an agent’s constraints and current decisions clear during long sessions. - [The Next Frontier of Agentic AI: Context That Learns](https://dinand.com/publications/context-that-learns/): Published on Medium, 2025-10-12. How feedback from an agent’s work can inform the context it uses on the next task. - [GPT-5’s Multimodal Breakthrough: How AI Just Crossed the Expert Threshold in Business Reasoning](https://dinand.com/publications/multimodal-business-reasoning/): Published on LinkedIn, 2025-09-03. A business perspective on research combining visual information with complex written evidence. - [The AI Capability Overhang: Why the Most Powerful Technology Isn’t Working (yet)](https://dinand.com/publications/ai-capability-overhang/): Published on Medium, 2025-06-02. Why organizations need to develop the operating capacity to use the AI capabilities already available. - [Symbiotic Intelligence Theory (SIT): Rethinking Human Potential in the Age of AI](https://dinand.com/publications/symbiotic-intelligence-theory/): Published on Medium, 2025-01-23. A framework for thinking about human agency and the ways AI can extend our capacity to think together. - [From Chaos to Managed Complexity: Adopting an Ecosystem Mindset in Data & Analytics](https://dinand.com/publications/from-chaos-to-managed-complexity/): Published on LinkedIn, 2024-11-01. A case for treating modern data environments as evolving ecosystems rather than trying to force every source and decision into one rigid center. - [The Liminality of Data: A Glimpse Between the Thresholds](https://dinand.com/publications/liminality-of-data/): Published on LinkedIn, 2023-10-03. What the idea of liminality can teach data and AI leaders about working between an established order and one that has not yet taken shape. - [Creating a Data-Powered Culture](https://dinand.com/publications/creating-a-data-powered-culture/): Published on LinkedIn, 2022-01-21. A durable starting point for making data part of everyday decisions: connect technology, shared habits and organizational confidence. ## Publications (Writing) Everything I have published since 2022, sorted by year and theme. - [Publications overview](https://dinand.com/publications/): section index - [Skin in the Game Made the AI Supervisor Worse](https://dinand.com/publications/skin-in-the-game/): LinkedIn, 2026-09-09. A controlled experiment on the cost of wrongful blocks and the incentives that shape an AI reviewer. - [Inventory Optimization Under Uncertainty: Broad random shocks trained a tougher inventory planner than a clever AI adversary did](https://dinand.com/publications/inventory-under-uncertainty/): Medium, 2026-06-15. An inventory-planning experiment explores which kinds of stress prepare a policy for unfamiliar disruptions. - [Move 37: How Agentic AI Turns Back-Office Drudgery into Bold Process Breakthroughs](https://dinand.com/publications/move-37/): Capgemini, 2026-04-29. Why the larger opportunity in agentic AI is not polishing an inherited workflow, but questioning whether the workflow should exist in its current form. - [Building a Fake Economy Run by AI Agents to Negotiate Trade Promotions: Lessons from a CPG Simulation](https://dinand.com/publications/trade-promotion-agents/): LinkedIn, 2026-02-28. Manufacturer and retailer agents negotiate promotions inside a simulated market with competing incentives. - [How to Make AI Agents Accurate: Stop Treating Memory Like Chat History](https://dinand.com/publications/agent-memory-and-state/): Medium, 2025-12-17. A practical approach to keeping an agent’s constraints and current decisions clear during long sessions. - [The Next Frontier of Agentic AI: Context That Learns](https://dinand.com/publications/context-that-learns/): Medium, 2025-10-12. How feedback from an agent’s work can inform the context it uses on the next task. - [GPT-5’s Multimodal Breakthrough: How AI Just Crossed the Expert Threshold in Business Reasoning](https://dinand.com/publications/multimodal-business-reasoning/): LinkedIn, 2025-09-03. A business perspective on research combining visual information with complex written evidence. - [The AI Capability Overhang: Why the Most Powerful Technology Isn’t Working (yet)](https://dinand.com/publications/ai-capability-overhang/): Medium, 2025-06-02. Why organizations need to develop the operating capacity to use the AI capabilities already available. - [Symbiotic Intelligence Theory (SIT): Rethinking Human Potential in the Age of AI](https://dinand.com/publications/symbiotic-intelligence-theory/): Medium, 2025-01-23. A framework for thinking about human agency and the ways AI can extend our capacity to think together. - [From Chaos to Managed Complexity: Adopting an Ecosystem Mindset in Data & Analytics](https://dinand.com/publications/from-chaos-to-managed-complexity/): LinkedIn, 2024-11-01. A case for treating modern data environments as evolving ecosystems rather than trying to force every source and decision into one rigid center. - [The Liminality of Data: A Glimpse Between the Thresholds](https://dinand.com/publications/liminality-of-data/): LinkedIn, 2023-10-03. What the idea of liminality can teach data and AI leaders about working between an established order and one that has not yet taken shape. - [Creating a Data-Powered Culture](https://dinand.com/publications/creating-a-data-powered-culture/): LinkedIn, 2022-01-21. A durable starting point for making data part of everyday decisions: connect technology, shared habits and organizational confidence. - [Self-healing master data](https://dinand.com/publications/self-healing-master-data/): An executive brief on finding, proposing and verifying supply-chain data repairs. (Working draft) - [From dashboards to decisions](https://dinand.com/publications/from-dashboards-to-decisions/): A working paper on bringing business context into an agentic decision workflow. (Working draft) ## Reading Notes (Writing) What I took away from the books and papers that changed my mind about something. - [Reading Notes overview](https://dinand.com/reading-notes/): section index - [Ways of Seeing](https://dinand.com/reading-notes/ways-of-seeing/): John Berger, and the questions we bring to an image. (Reading-note draft) - [The Society of the Spectacle](https://dinand.com/reading-notes/society-of-the-spectacle/): Guy Debord, representation, and a question about synthetic media. (Reading-note draft) - [The Sympathy of Clocks](https://dinand.com/reading-notes/the-sympathy-of-clocks/): What a feverish Dutch scientist saw in his sickroom in 1665, and why it took three centuries for anyone to build on it. (film with essay) ## Research (Research & Experiments) Simulations I run when I want to know if an idea about AI survives contact with real numbers. - [Research overview](https://dinand.com/research/): section index - [When monitoring stops scaling](https://dinand.com/research/when-monitoring-stops-scaling/): What a simulation suggests about the cost of overseeing a growing agent portfolio. (Study summary · draft) - [When liability changes the reviewer](https://dinand.com/research/oversight-and-liability/): A controlled simulation of how a record of past harm affected an AI supervisor. (Published article overview) - [The Decision Head](https://dinand.com/research/decision-head/): Executive briefing, paper and blog post on a self-hosted typed-question service - [The Open Decision Head](https://dinand.com/research/decision-head/executive/): Executive briefing, 23 September 2026. The business case: what a self-hosted decision head offers a governed process, what the experiment showed and what it costs. - [The Decision Head: A Self-Hosted Typed-Question Service for Governed Workflow Control](https://dinand.com/research/decision-head/paper/): Paper, 23 September 2026. The full write-up: the service, the two registered rounds, the results against five pre-registered hypotheses, and the limits. - [Building a Jev Lookalike in One Evening](https://dinand.com/research/decision-head/blog/): Blog post, 23 September 2026. How it started: building a lookalike of a vendor’s typed-question service in one evening, and what the first round got wrong. - [The Measured Enterprise 2026](https://dinand.com/research/measured-enterprise-2026/): The lab’s annual report: the Delegation Index, the protocol, seven pre-registered campaigns, the corrections logged and every measured claim, in one document. (annual report, first full draft, 6 October 2026) - [The open decision head](https://dinand.com/research/campaigns/decision-head/): Mixed · 2026-10-07. A retrained open decision head scored 0.728 against 0.566 for a rule table on 800 fresh cases, a gap that excludes zero; the first round missed, with 0.545 against 0.575 (gap -0.029, interval +0.001 to -0.060). (pre-registered campaign) - [A Trial Balance for Agent Omissions](https://dinand.com/research/campaigns/trial-balance/): Supported · 2026-10-01. Reading where a commitment ledger fails to balance found 0.80 of skipped steps at 745 tokens of reading; log review never reached 0.80 at any budget. (pre-registered campaign) - [Sprawl Cost Under a Fixed Monitoring Budget](https://dinand.com/research/campaigns/agenesis-2/): Mixed · 2026-09-17. With the monitoring budget held flat, sprawl cost grows as fleet size to the power 1.4665 (95% interval 1.4101 to 1.5230); with per-agent monitoring it is 0.9001. (pre-registered campaign) - [SIGIL: does a liability ledger change what an overseer authorizes?](https://dinand.com/research/campaigns/sigil/): Refuted · 2026-09-10. The registered prediction that review pays on irreversible decisions failed in all 12 series; a liability ledger raised wrongful blocking at the top tier to 42.7%. (pre-registered campaign) - [Delegation Cliff](https://dinand.com/research/campaigns/delegation-cliff/): Mixed · 2026-09-03. Each added level of delegation depth costs 1.50 on the quality margin; reviewer capacity buys back the most at +1.46. (pre-registered campaign) - [Error Independence: does different hardware buy a second opinion?](https://dinand.com/research/campaigns/error-independence/): Measured · 2026-09-02. The same model on different silicon shares its errors (phi +0.447 on contested items); models from different families do not (mean phi −0.102). (pre-registered campaign) - [AGENESIS: first-mover AI adoption](https://dinand.com/research/campaigns/agenesis/): Measured · 2026-04-04. 100 runs across 4 industry verticals, 5 enterprises of 150 agents each per run: a first-mover premium of 210%, with the market tipping in 77% of markets. (pre-registered campaign) - [Every public headline number](https://dinand.com/research/claims/): One row per number the lab has published, newest first, with the interval where the piece gives one. Quote the number with its campaign and link to the piece. 60 claims. - [Accountability Rent](https://dinand.com/research/concepts/accountability-rent/): The extra value that goes to whoever can answer for an irreversible outcome once AI makes thinking cheap. - [Cognition-Accountability Grid](https://dinand.com/research/concepts/cognition-accountability-grid/): A two-axis chart that places an AI initiative by how much judgement the model performs and how much consequence attaches to being wrong. - [Decision Head](https://dinand.com/research/concepts/decision-head/): A small service that takes the state of a case and a list of typed questions and returns a probability for each answer, on a model you host. - [Delegation Cliff](https://dinand.com/research/concepts/delegation-cliff/): The point where pushing work further from human review stops paying for itself. - [Error Independence](https://dinand.com/research/concepts/error-independence/): The property that makes a second opinion worth having: when one checker is wrong, the other is wrong on different items. - [Sprawl cost under a fixed monitoring budget](https://dinand.com/research/concepts/sprawl-cost/): What a fleet of agents costs as it grows when the monitoring budget stays flat, which here rises faster than the fleet does. - [Trial Balance](https://dinand.com/research/concepts/trial-balance/): An audit that compares the ledger of what an agent owes with the log of what it ran, and reads only where the two fail to balance. - [The lab's named concepts](https://dinand.com/research/concepts/): Each concept the lab has named in public work, in alphabetical order, with a one-sentence definition. Every page gives the longer explanation, the headline number where a live piece carries one, and the campaign and piece it comes from. 7 concepts. - [The protocol](https://dinand.com/research/methods/): The lab studies how organisations delegate work to AI agents and how they oversee it. Every campaign follows the same eight steps, and the steps are built so the lab cannot quietly steer a result toward the answer it hoped for. - [Skin in the Game Made the AI Supervisor Worse](https://dinand.com/publications/skin-in-the-game/): Published on LinkedIn, 2026-09-09. A controlled experiment on the cost of wrongful blocks and the incentives that shape an AI reviewer. - [Inventory Optimization Under Uncertainty: Broad random shocks trained a tougher inventory planner than a clever AI adversary did](https://dinand.com/publications/inventory-under-uncertainty/): Published on Medium, 2026-06-15. An inventory-planning experiment explores which kinds of stress prepare a policy for unfamiliar disruptions. - [Building a Fake Economy Run by AI Agents to Negotiate Trade Promotions: Lessons from a CPG Simulation](https://dinand.com/publications/trade-promotion-agents/): Published on LinkedIn, 2026-02-28. Manufacturer and retailer agents negotiate promotions inside a simulated market with competing incentives. ## Experiments (Research & Experiments) Apps and research systems I built. Two of them run right here in your browser. - [Experiments overview](https://dinand.com/experiments/): section index - [Monitoring cost explorer](https://dinand.com/experiments/monitoring-cost-explorer/): Explore how portfolio size changes modeled oversight cost. (Interactive tool) - [Decision brief builder](https://dinand.com/experiments/decision-brief-builder/): Turn a question, evidence and constraints into a structured brief. (Interactive tool) - [Many Worlds](https://dinand.com/experiments/many-worlds/): Plays a business decision out across hundreds of thousands of simulated futures, then tests every possible response against the same draws and recommends the one that holds up. (runs in the browser) - [Dead Reckoning](https://dinand.com/experiments/dead-reckoning/): A world model is dead reckoning for machines. A small ship plans by imagining forty futures at every fix, then drifts on a current its model has never heard of. (runs in the browser) - [Rulebook](https://dinand.com/experiments/rulebook/): A customer reply policy written as checks a machine can run, then used as the reward to fine-tune a model. A small transformer learns it live in your browser tab. (runs in the browser) - [Delegation Cliff calculator](https://dinand.com/experiments/instruments/delegation-cliff/): Move the twelve organisation levers and read how far the published coefficients say the quality margin moves, and which levers carry the movement. (instrument) - [SIGIL tier explorer](https://dinand.com/experiments/instruments/sigil/): Pick an irreversibility tier and compare what blocking review and review with a liability ledger did to the value of oversight there, beside what the registered prediction said would happen. (instrument) - [Trial Balance budget curve](https://dinand.com/experiments/instruments/trial-balance/): Set a reading budget and a diary length and read how many skipped steps each of four audits finds, then switch fault classes on and off to see what a full read of the diary finds and misses. (instrument) - [AI Control Plane](https://dinand.com/experiments/ai-control-plane/): A register and evidence layer for examining an enterprise portfolio of AI agents: who owns them, how far they act, and what supports the trust placed in them. (system profile, Private working prototype) - [AGENESIS](https://dinand.com/experiments/agenesis/): An agent-based laboratory for exploring how different levels of AI participation interact with enterprise structure, market conditions and industry context. (system profile, Completed research campaign) - [SCENARIO-X Studio](https://dinand.com/experiments/scenario-x/): An interactive workbench for designing multi-product supply-chain experiments and inspecting where average performance hides a weak tail. (system profile, Working local application) - [Assay Bench](https://dinand.com/experiments/assay-bench/): A workbench for measuring the quality and checking cost of AI outputs when there is no simple answer key. (system profile, Working research product) - [Personal Quant Agent](https://dinand.com/experiments/personal-quant-agent/): A research system that scans public market data, tests a small strategy library, applies explicit risk controls and records simulated decisions in a paper portfolio. (system profile, Paper-only research prototype) ## Side Projects (Research & Experiments) Things I build for the fun of it, like a downtown Chicago you can walk through at any hour. - [Side Projects overview](https://dinand.com/side-projects/): section index - [The Meridian Library](https://dinand.com/side-projects/meridian-library/): A two-storey reading room you can walk through. Pull a book from the shelf and it comes to you; turn its pages, light the fire, let it rain, or climb the spiral stair to the gallery. - [Breslau](https://dinand.com/side-projects/breslau/): An insurer designed from a blank sheet for AI agents that move money. A signed meter watches every tool call, and risky payments wait for a person. - [Chicago Downtown Walk](https://dinand.com/side-projects/chicago-downtown-walk/): A walkable 3D model of downtown Chicago. Slide the light from dawn to midnight, or switch on the rain and watch the streets go wet. ## About (Background) Born in the Netherlands, at home in Chicago, with a lifelong habit of asking one more question. - [About overview](https://dinand.com/about/): section index - [LinkedIn](https://www.linkedin.com/in/tinholt): Where most of my articles land first - [Medium](https://medium.com/@tinholt): The longer essays and the research write-ups - [GitHub](https://github.com/dtinholt): Public code goes here when it is ready - [Threads](https://www.threads.net/@tinholt): Quick thoughts that have not become essays yet - [Instagram](https://www.instagram.com/tinholt/): Photos from places I have been ## Complete article archive All 115 published articles, newest first. Links go to the original editions. - [The Open Decision Head: An Executive Briefing](https://www.linkedin.com/feed/update/urn:li:activity:7513629422663434240/): 2026-10-07, LinkedIn, The agentic enterprise. A retrained open decision head beat both a rule table and the hosted service on 800 fresh cases, after a first version that did not. - [A Trial Balance for Agent Omissions](https://medium.com/@tinholt/a-trial-balance-for-agent-omissions-568a41c59aa1): 2026-10-01, Medium, Oversight & accountability. Agent logs record what happened and have no row for what didn’t. A pre-registered test of commitment accounting, an obligation ledger reconciled against executed calls, for catching omissions in procurement-workflow traces. - [Jev is a new model from TypeSafe AI that helps software make small, specific decisions.](https://www.linkedin.com/posts/tinholt_jev-is-a-new-model-from-typesafe-ai-that-share-7510004413076250624-2pCZ/): 2026-09-27, LinkedIn, Models & the AI market. Pre-announcement: the benchmark, code and pilot guide follow once the results are verified. - [Sprawl Cost Is Superlinear Under a Fixed Monitoring Budget: A Pre-Registered Calibration of Agent Portfolio Retirement Dynamics](https://medium.com/@tinholt/sprawl-cost-is-superlinear-under-a-fixed-monitoring-budget-a-pre-registered-calibration-of-agent-e24cbaa7e62a): 2026-09-17, Medium, Oversight & accountability. AGENESIS-2 adds a portfolio layer to the AGENESIS enterprise simulation to measure whether agent sprawl costs more than proportionally under a fixed monitoring budget. - [Your AI Review Team May Be Waiting for Failures It Cannot See](https://www.linkedin.com/feed/update/urn:li:activity:7506213115978489856/): 2026-09-17, LinkedIn, Oversight & accountability. The executive reading of the sprawl-cost result. - [Accountability Makes Oversight Worse: A Pre-Registered Test of Liability-Exposed AI Supervision Across Irreversibility Tiers](https://medium.com/@tinholt/accountability-makes-oversight-worse-a-pre-registered-test-of-liability-exposed-ai-supervision-ef4fdf46bad3): 2026-09-10, Medium, Oversight & accountability. A pre-registered test of whether making an AI supervisor answerable for past harm improves its oversight, and why it backfired across irreversibility tiers. - [Skin in the Game Made the AI Supervisor Worse](https://www.linkedin.com/pulse/skin-game-made-ai-supervisor-worse-dinand-tinholt-13jic): 2026-09-09, LinkedIn, Oversight & accountability. A controlled experiment on the cost of wrongful blocks and the incentives that shape an AI reviewer. - [Pricing Agent Autonomy](https://medium.com/@tinholt/pricing-agent-autonomy-0a2bb5b97caf): 2026-09-03, Medium, Oversight & accountability. A simulation sweeping twelve dimensions of organisational design to price the bet that moving work further from human review is cheaper. Delegation depth carries the strongest weight, and it is negative. - [When the Second Opinion Shares the Blind Spot](https://medium.com/@tinholt/when-the-second-opinion-shares-the-blind-spot-7e4443dcb081): 2026-09-02, Medium, Oversight & accountability. One model on two machines, with different quantisation and serving stacks, made the same mistakes. What separates one reviewer from another is the model family: a case for dissimilar redundancy. - [A ledger for agentic decisions](https://medium.com/@tinholt/a-ledger-for-the-decisions-nobody-priced-625c452e43fd): 2026-08-28, Medium, Oversight & accountability. Difficulty is a property of the work; risk is a property of the consequences. Testing, in simulation and as a product, the rule that decides which agentic decisions a person must see. - [The Breaking Point](https://medium.com/@tinholt/the-breaking-point-2b68dbd7d7c2): 2026-08-27, Medium, The agentic enterprise. 45,312 simulated supply-network designs, each run through a year of compounding disruption, and the exact stress level at which service breaks. - [The Delegation Cliff](https://medium.com/@tinholt/the-delegation-cliff-ed787b1ebe22): 2026-08-16, Medium, Oversight & accountability. 90,880 simulated designs of an AI-delegating organization. At a 95% quality floor they degrade gradually; at 99% the same design space develops a cliff. - [AI Agents May Have a Reason to Trust Each Other](https://medium.com/@tinholt/ai-agents-may-have-a-reason-to-trust-each-other-3ba117adc87a): 2026-08-09, Medium, The agentic enterprise. On a paper led by Alexander Meulemans: why foundation-model agents may cooperate in a one-shot Prisoner’s Dilemma, and what that means for large populations of agents. - [Nobody Slows Down First](https://medium.com/@tinholt/nobody-slows-down-first-2edd34ecaf97): 2026-08-06, Medium, Models & the AI market. Six days apart, the same industry asked Washington to keep AI capability spreading and to build the machinery for holding it back. - [Inventory Optimization Under Uncertainty: Broad random shocks trained a tougher inventory planner than a clever AI adversary did](https://medium.com/@tinholt/inventory-optimization-under-uncertainty-broad-random-shocks-trained-a-tougher-inventory-planner-396134e2c5e3): 2026-06-15, Medium, The agentic enterprise. An inventory-planning experiment explores which kinds of stress prepare a policy for unfamiliar disruptions. - [Move 37: How Agentic AI Turns Back-Office Drudgery into Bold Process Breakthroughs](https://www.capgemini.com/insights/expert-perspectives/move-37-how-agentic-ai-turns-back-office-drudgery-into-bold-process-breakthroughs/): 2026-04-29, Capgemini, The agentic enterprise. Why the larger opportunity in agentic AI is not polishing an inherited workflow, but questioning whether the workflow should exist in its current form. - [Building a Fake Economy Run by AI Agents to Negotiate Trade Promotions: Lessons from a CPG](https://medium.com/@tinholt/building-a-fake-economy-run-by-ai-agents-to-negotiate-trade-promotions-lessons-from-a-cpg-785384cdfb91): 2026-02-28, Medium / LinkedIn, The agentic enterprise. Manufacturer and retailer agents negotiate promotions inside a simulated market with competing incentives. - [The Weights Got Free. The Grip Moved.](https://medium.com/@tinholt/the-weights-got-free-the-grip-moved-fadf3d80fb4e): 2026, Medium, Models & the AI market. Kimi K3 put 2.8 trillion parameters on a public server. Reading that as decentralization gets the economics backwards. - [The Truth Ledger](https://medium.com/@tinholt/the-truth-ledger-3e01dac4e8ca): 2026, Medium, Ideas & culture. Old Frames, New Machines · An Essay in Nine… - [The Most Powerful AI Ever Released Is Probably Being Wasted Right Now](https://medium.com/@tinholt/the-most-powerful-ai-ever-released-is-probably-being-wasted-right-now-67eb38b2ad53): 2026, Medium, Work, economy & the future. There is an old Greek storyteller named Aesop (you may remember the tortoise and the hare) whose genius had nothing to do with animals. - [The Vertical AI Playbook Is Here, And Legal Is Just The Latest Move](https://medium.com/@tinholt/the-vertical-ai-playbook-is-here-and-legal-is-just-the-latest-move-65b71e4a7f5f): 2026, Medium, Models & the AI market. A week before Anthropic announced Claude for Legal, it announced Claude for Financial Services. - [Three bets on where the agent lives](https://medium.com/@tinholt/three-bets-on-where-the-agent-lives-4c6f1c906383): 2026, Medium, Models & the AI market. In a single quarter, three of the most important enterprise software vendors placed three competing claims on the agent… - [The AI Infrastructure Layer: Why Runtime Ownership Matters More Than Model Choice](https://medium.com/@tinholt/the-ai-infrastructure-layer-why-runtime-ownership-matters-more-than-model-choice-1edf8e097603): 2026, Medium, Models & the AI market. Enterprise technology teams are debating which AI model to use. GPT or Claude? Gemini or a fine-tuned open source model? - [What Happens When One Company Adopts AI Before Its Competitors?](https://medium.com/@tinholt/what-happens-when-one-company-adopts-ai-before-its-competitors-cd976e5a8dba): 2026, Medium, The agentic enterprise. Results from a 100-run multi-agent enterprise simulation across four… - [AI-Driven Inventory Optimization Under Deep Uncertainty](https://medium.com/@tinholt/ai-driven-inventory-optimization-under-deep-uncertainty-607fd80386d1): 2026, Medium, The agentic enterprise. An Autoresearch… - [The Compounding Gap](https://medium.com/@tinholt/the-compounding-gap-295f2dc6cf08): 2026, Medium, Work, economy & the future - [Twenty-one releases in under three months.](https://medium.com/@tinholt/twenty-one-releases-in-under-three-months-7de36a1a1cd0): 2026, Medium, Models & the AI market. Since January 2026, Anthropic has shipped two new foundation models (Opus 4.6 and Sonnet 4.6), and nineteen distinct product launches… - [Your AI Agent’s Brain: Specialized or Well-Briefed?](https://medium.com/@tinholt/your-ai-agents-brain-specialized-or-well-briefed-88ec339c6db4): 2026, Medium, The agentic enterprise. What a Controlled Experiment Reveals About Enterprise AI… - [Two Reports, One Question: What Does AI Actually Mean for Your Future?](https://medium.com/@tinholt/two-reports-one-question-what-does-ai-actually-mean-for-your-future-9689d6bceec6): 2026, Medium, Work, economy & the future. In the span of a few days in late February 2026, two documents landed in the financial and technology discourse with sharply… - [10x the Impact of the Industrial Revolution, and We’re Just Getting Started](https://medium.com/@tinholt/10x-the-impact-of-the-industrial-revolution-and-were-just-getting-started-08e90b8e3659): 2026, Medium, Work, economy & the future. A year ago, a task that took a full year now takes three days. - [Why Industry Is the Only Thing That Separates AI Theater from AI Transformation](https://medium.com/@tinholt/why-industry-is-the-only-thing-that-separates-ai-theater-from-ai-transformation-b1602bff12c5): 2026, Medium, The agentic enterprise. I’ll save you the conference ticket and the keynote. - [Agent Swarms Are Here](https://medium.com/@tinholt/agent-swarms-are-here-4cea3c59d7fb): 2026, Medium, Models & the AI market. Three major model drops in ten days. Moonshot AI shipped Kimi K2.5 on January 27th with a built-in agent swarm. - [How to Make AI Agents Accurate: Stop Treating Memory Like Chat History](https://medium.com/@tinholt/how-to-make-ai-agents-accurate-stop-treating-memory-like-chat-history-40eb8e0ea437): 2025-12-17, Medium, Data, context & memory. A practical approach to keeping an agent’s constraints and current decisions clear during long sessions. - [The Next Frontier of Agentic AI: Context That Learns](https://medium.com/@tinholt/the-next-frontier-of-agentic-ai-context-that-learns-3246d4e73744): 2025-10-12, Medium, Data, context & memory. How feedback from an agent’s work can inform the context it uses on the next task. - [GPT-5’s Multimodal Breakthrough: How AI Just Crossed the Expert Threshold in Business Reasoning](https://medium.com/@tinholt/gpt-5s-multimodal-breakthrough-how-ai-just-crossed-the-expert-threshold-in-business-reasoning-9a0e24ce9b29): 2025-09-03, Medium / LinkedIn, Models & the AI market. A business perspective on research combining visual information with complex written evidence. - [Turning Data Exhaust into Business Intelligence: The Hidden Value in Your Enterprise Operations](https://medium.com/@tinholt/turning-data-exhaust-into-business-intelligence-the-hidden-value-in-your-enterprise-operations-e55356df99ca): 2025-08-14, Medium / LinkedIn, Data, context & memory. In the landscape of enterprise AI, we often get caught up in the sheer volume of data. But the real secret isn’t just having mountains of information. It’s learning to recognize the patterns that live within it. - [From Language Models to World Models: Building the AI Operating Layer for Business](https://medium.com/@tinholt/from-language-models-to-world-models-building-the-ai-operating-layer-for-business-c09e9be33236): 2025-08-10, Medium / LinkedIn, The agentic enterprise. Everyone is staring at the same leaderboard again. GPT-5 here, a new benchmark there, another round of debates about who is ahead in model scale. The conversation is familiar and comfortable. - [Are We Cracking the Code of AGI? A Tiny Brain-Inspired AI Just Made a Big Statement](https://medium.com/@tinholt/are-we-cracking-the-code-of-agi-a-tiny-brain-inspired-ai-just-made-a-big-statement-014104535b82): 2025-08-04, Medium / LinkedIn, Models & the AI market. There’s something happening in AI research that deserves the full attention of business leaders. - [The Great Untangling: Why Business Leaders Must Move From Agentic Mush to an Agentic Mesh](https://medium.com/@tinholt/the-great-untangling-why-business-leaders-must-move-from-agentic-mush-to-an-agentic-mesh-692602f95a86): 2025-08-01, Medium / LinkedIn, The agentic enterprise. Across boardrooms and executive strategy sessions, one phrase keeps surfacing: “We need to do something with Agentic AI.” So the sprint begins. Teams deploy chatbots. Product leads automate decisions. - [The AI Supermodel Has Arrived. And No, It’s Not the End of Beauty. It’s the Start of a Smarter Industry.](https://medium.com/@tinholt/the-ai-supermodel-has-arrived-4ca6fae231da): 2025-07-28, Medium / LinkedIn, Retail & consumer goods. Vogue. Long the cathedral of couture and the arbiter of aspirational aesthetics. And now? A bold new guest walks the hallowed pages of its August issue: Seraphinne Vallora’s AI-generated model for a Guess campaign. She’s blonde. - [You Don’t Have an Agent Problem. You Have an Observability Problem.](https://medium.com/@tinholt/you-dont-have-an-agent-problem-you-have-an-observability-problem-2d2b2d2e42cc): 2025-07-25, Medium / LinkedIn, The agentic enterprise. Agentic AI is becoming the next big promise in enterprise automation. These systems go beyond answering questions. They take actions, chain tasks, call APIs, interact with memory, and adapt over time. They are not static copilots. - [The Myth of the Single Source of Truth](https://medium.com/@tinholt/the-myth-of-the-single-source-of-truth-1ad4d8625215): 2025-07-21, Medium / LinkedIn, Data, context & memory. Companies have spent years chasing a single source of truth. The idea is simple. One clean, standardized, central repository. Everyone uses the same data to make better decisions. - [From Centaur to Enterprise: How AI is Learning to Think Like Us (and What That Means for Business)](https://medium.com/@tinholt/from-centaur-to-enterprise-how-ai-is-learning-to-think-like-us-and-what-that-means-for-business-86113c4378cf): 2025-07-14, Medium / LinkedIn, The agentic enterprise. In the TV series Westworld, a system called Rehoboam shaped the future by predicting human behavior with near-perfect accuracy. Fiction, of course—until it isn’t. - [You Can’t Automate Dysfunction](https://www.linkedin.com/pulse/you-cant-automate-dysfunction-dinand-tinholt-ys6yc): 2025-06-28, LinkedIn, The agentic enterprise. The agentic AI hype machine is running full speed. Everywhere I look, someone is wiring an LLM into a brittle business process and expecting magic. Startups are doing it. Enterprises are doing it. Everyone is nodding along. - [The Real Failure Isn’t Agentic AI — It’s Corporate Imagination](https://www.linkedin.com/pulse/real-failure-isnt-agentic-ai-its-corporate-dinand-tinholt-s7e5c): 2025-06-27, LinkedIn, The agentic enterprise. From the moment Gartner’s June 25 report landed, proclaiming that over 40 percent of agentic AI initiatives will be abandoned by 2027, journalists seized on the alarm: “rising costs,” “unclear business value,” and worries about… - [Reimagining the Consumer Products Value Chain with AI](https://www.linkedin.com/pulse/reimagining-consumer-products-value-chain-ai-dinand-tinholt-xn5kc): 2025-06-27, LinkedIn, Retail & consumer goods - [Context Engineering Will Decide the Winners in AI](https://www.linkedin.com/pulse/context-engineering-decide-winners-ai-dinand-tinholt-dfame): 2025-06-26, LinkedIn, Data, context & memory. The conversation around AI inside most companies is still stuck on prompt engineering — crafting clever questions to get clever answers. But the real work of building effective AI systems isn’t about witty phrasing. - [The AI Capability Overhang: Why the Most Powerful Technology Isn't Working (yet)](https://www.linkedin.com/pulse/ai-capability-overhang-why-most-powerful-technology-isnt-tinholt-0k5fc): 2025-06-02, LinkedIn, The agentic enterprise. Why organizations need to develop the operating capacity to use the AI capabilities already available. - [The Real AI Race Is Happening in Your Business](https://www.linkedin.com/pulse/real-ai-race-happening-your-business-dinand-tinholt-5wv4c): 2025-05-27, LinkedIn, The agentic enterprise. While superpowers debate the future of intelligence, smart companies are deploying it… - [Enterprise Models: The Rise of the Thinking Organization](https://www.linkedin.com/pulse/enterprise-models-rise-thinking-dinand-tinholt-7evdc): 2025-05-22, LinkedIn, The agentic enterprise. This spring, a new artificial intelligence model quietly edged out some of the world’s best climate prediction systems. - [When Companies Begin to Think as Cognitive Enterprises](https://www.linkedin.com/pulse/when-companies-begin-think-cognitive-enterprises-dinand-tinholt-q0wac): 2025-05-16, LinkedIn, The agentic enterprise. In late winter, a global logistics firm noticed something odd in its real-time dashboards. - [AI Agents on Autopilot: A Business Wake-Up Call](https://www.linkedin.com/pulse/ai-agents-autopilot-business-wake-up-call-dinand-tinholt-jwgpc): 2025-05-13, LinkedIn, The agentic enterprise. For years, artificial intelligence has quietly shadowed the world of work. It assisted, suggested, and supported — playing the role of co-pilot. But something is changing. - [When Software Learns the Job Retail Finds Another Gear](https://www.linkedin.com/pulse/when-software-learns-job-retail-finds-another-gear-dinand-tinholt-xgfzc): 2025-05-12, LinkedIn, Retail & consumer goods. Just imagine a store manager at a grocery chain juggling numerous urgent tasks: a customer wants to know why last night’s curb-side order is late, a district merchandiser is flagging a surprise run on energy drinks downtown, and… - [Why Tariffs Are a Data & AI Problem—And How Capgemini Is Solving It](https://www.linkedin.com/pulse/why-tariffs-data-ai-problemand-how-capgemini-solving-dinand-tinholt-cnysc): 2025-05-07, LinkedIn, The agentic enterprise. In a year where AI seems to be injected into every boardroom conversation, one of the most impactful applications is happening at the border. - [What the AI Model Market Quietly Reveals About How to Build with It](https://www.linkedin.com/pulse/what-ai-model-market-quietly-reveals-how-build-dinand-tinholt-cbqvc): 2025-05-05, LinkedIn, Models & the AI market. The conversation around AI models often focuses on performance. Speed. Accuracy. Cost. And while those factors matter, they don’t explain the full picture of how businesses are actually using large language models. - [Beyond Generative: The Rise of the Simulated, Self-Learning Enterprise](https://www.linkedin.com/pulse/beyond-generative-rise-simulated-self-learning-dinand-tinholt-zvcdf): 2025-04-29, LinkedIn, The agentic enterprise. We are entering a profound shift — one that goes far beyond new technology. Generative AI lit the first spark, but what comes next will redefine how we understand intelligence itself. - [Rethinking Intelligence: Thriving in a World Where AI Outgrows Us](https://www.linkedin.com/pulse/rethinking-intelligence-thriving-world-where-ai-outgrows-tinholt-o5hic): 2025-04-26, LinkedIn, Work, economy & the future. In a recent conversation that captured the attention of the technology world, Eric Schmidt, the former CEO of Google, shared a stark prediction: within the next year, the majority of programmers could be replaced by AI. - [From Prediction to Purpose: The Era of Experiential Intelligence](https://www.linkedin.com/pulse/from-prediction-purpose-era-experiential-intelligence-dinand-tinholt-hl11c): 2025-04-22, LinkedIn, The agentic enterprise. How World Models and Reinforcement Learning Are Reshaping Business… - [The Rise of the Self-Reflexive Enterprise: Why the Next Wave of AI Isn’t About Doing More — But About Seeing Better](https://www.linkedin.com/pulse/rise-self-reflexive-enterprise-why-next-wave-ai-isnt-doing-tinholt-wgk8c): 2025-04-20, LinkedIn, The agentic enterprise. On an average everyday morning, a thousand things are happening inside a multinational company. A frustrated engineer is rewriting the same process that’s already been documented elsewhere. - [The New Competitive Edge: Open-Weight AI Models and Their Impact on Businesses](https://www.linkedin.com/pulse/new-competitive-edge-open-weight-ai-models-impact-dinand-tinholt-pa8xc): 2025-04-16, LinkedIn, Models & the AI market. The AI landscape is undergoing a seismic shift. In just the past month, OpenAI and other major players have signaled a new era—one where the power and potential of open-weight large language models (LLMs) are reshaping the… - [The Accelerating Reality of Artificial General Intelligence: Strategic Imperatives for Business Leaders](https://www.linkedin.com/pulse/accelerating-reality-artificial-general-intelligence-business-dinand-8bmgc): 2025-04-08, LinkedIn, Work, economy & the future. Artificial General Intelligence (AGI), once confined to theoretical discussions and science fiction, is rapidly approaching practical realization. - [A New Solution for Trade Wars: How Enterprises Can Regain Control with Strategic AI](https://www.linkedin.com/pulse/new-solution-trade-wars-how-enterprises-can-regain-control-tinholt-fpljc): 2025-04-04, LinkedIn, The agentic enterprise. As global trade becomes increasingly unpredictable, executives are finding themselves caught in a crossfire of shifting tariffs, regional restrictions, and disrupted supply chains. - [If AI tools were your office colleagues, who would they be?](https://www.linkedin.com/pulse/ai-tools-were-your-office-colleagues-who-would-dinand-tinholt-8qacc): 2025-04-02, LinkedIn, Ideas & culture. Just for fun — and because we all need a breather from the firehose of AI news — here’s how I imagine… - [The Day the Machines Fooled Us](https://www.linkedin.com/pulse/day-machines-fooled-us-dinand-tinholt-datkc): 2025-04-02, LinkedIn, Ideas & culture. What GPT-4.5’s Turing Test triumph means for business—and for being… - [The AI Retail & Consumer Goods Revolution: Five Stages of Transformation](https://www.linkedin.com/pulse/ai-retail-consumer-goods-revolution-five-stages-dinand-tinholt-hzcbf): 2025-03-31, LinkedIn, Retail & consumer goods. The shop floor at Walmart's newest "store of the future" in Arkansas appears ordinary at first glance. Behind the scenes, however, an invisible intelligence silently orchestrates nearly every aspect of the operation. - [AI Doesn’t Want Your Job. It Wants Your Judgment.](https://www.linkedin.com/pulse/ai-doesnt-want-your-job-wants-judgment-dinand-tinholt-jgmic): 2025-03-31, LinkedIn, Work, economy & the future. When earlier this week Bill Gates predicted that artificial intelligence would replace doctors and teachers within the next decade, it sounded hyperbolic—like a headline designed to provoke. - [When Intelligence Joins the Team: Rethinking Work in the Age of AI](https://www.linkedin.com/pulse/when-intelligence-joins-team-rethinking-work-age-ai-dinand-tinholt-suzic): 2025-03-25, LinkedIn, Work, economy & the future. There’s a quiet revolution unfolding in how we work. And like many revolutions, it began not with a bang, but a study—one involving 776 professionals at Procter & Gamble and an AI model named GPT-4. - [The Rise of Small Giants: How Tiny AI Models and Massive Chips Are Reshaping Business](https://www.linkedin.com/pulse/rise-small-giants-how-tiny-ai-models-massive-chips-business-tinholt-oxysc): 2025-03-19, LinkedIn, Models & the AI market. The story of artificial intelligence has long been about scale—bigger models, more parameters, and an insatiable demand for computing power. - [Antifragile — The Algorithm That Ate Uncertainty: How AI is Reinventing Supply Chain Resilience](https://www.linkedin.com/pulse/antifragile-algorithm-ate-uncertainty-how-ai-supply-chain-tinholt-ydfhc): 2025-03-16, LinkedIn, The agentic enterprise. In March 2021, as the Ever Given — a container ship longer than the Empire State Building is tall — lodged itself into the banks of the Suez Canal, a chilling realization rippled through global markets: modern supply chains are… - [Pi, AI, and the Limits of Predictability](https://www.linkedin.com/pulse/pi-ai-limits-predictability-dinand-tinholt-5hrzc): 2025-03-14, LinkedIn, Ideas & culture. Today is March 14th—Pi Day, a celebration of the most famous irrational number in history. Pi is a mathematical constant, an unbroken thread that runs through geometry, physics, and even the algorithms that drive AI. - [Retail’s AI Transformation: A Moment of Reinvention](https://www.linkedin.com/pulse/retails-ai-transformation-moment-reinvention-dinand-tinholt-lovnc): 2025-03-10, LinkedIn, Retail & consumer goods. On a quiet Tuesday morning in early 2025, a fashion buyer at a global retail brand sat in front of her laptop, scrolling through trend reports, sifting through spreadsheets, and making a judgment call on next season’s colors. - [The Coming of AGI: Why Organizations Must Think Big and Act Now](https://www.linkedin.com/pulse/coming-agi-why-organizations-must-think-big-act-now-dinand-tinholt-i33zc): 2025-03-04, LinkedIn, Work, economy & the future. Artificial General Intelligence (AGI) is no longer a distant dream. It is accelerating toward us much faster than previously expected. - [The Productivity Paradox: Why AI's Promise May Still Be Unrealized in Today's Economy](https://www.linkedin.com/pulse/productivity-paradox-why-ais-promise-may-still-todays-dinand-tinholt-hmwcc): 2025-03-02, LinkedIn, Work, economy & the future. In a recent Bloomberg article, "AI Will Upend a Basic Assumption About How Companies Are Organized," ( https://www.bloomberg.com/news/articles/2025-02-28/how-ai-reasoning-models-will-change-companies-and-the-economy ) a… - [The Unseen Hand: How AI is Quietly Rewriting Retail’s Future](https://www.linkedin.com/pulse/unseen-hand-how-ai-quietly-rewriting-retails-future-dinand-tinholt-4phvc): 2025-02-26, LinkedIn, Retail & consumer goods. A century ago, department stores revolutionized retail. Fifty years later, shopping malls did it again. Then came e-commerce, reshaping consumer behavior in ways no one could have imagined. - [Why Testing AI Like a Smartphone is a Mistake – And What Consumer & Retail Companies Should Do Instead](https://www.linkedin.com/pulse/why-testing-ai-like-smartphone-mistake-what-consumer-retail-tinholt-clwec): 2025-02-25, LinkedIn, Retail & consumer goods. Imagine you’re evaluating a brand-new smartphone, but instead of exploring its camera, apps, or AI-driven features, you judge it solely by how well it makes phone calls. That would be absurd, right? - [The AI Boom is Bigger Than Satya Nadella Thinks—Here’s Why the Economic Impact Will Surpass Expectations](https://www.linkedin.com/pulse/ai-boom-bigger-than-satya-nadella-thinksheres-why-economic-tinholt-jr1lc): 2025-02-25, LinkedIn, Work, economy & the future. Satya Nadella, CEO of Microsoft, has struck a cautious tone on the economic impact of artificial intelligence (https://futurism.com/microsoft-ceo-ai-generating-no-value). - [Reimagining the Consumer Products & Retail Market with GenAI: Four Futures, Five Years From Now](https://www.linkedin.com/pulse/reimagining-consumer-products-retail-market-genai-four-dinand-tinholt-uziyc): 2025-02-20, LinkedIn, Retail & consumer goods. Five years from now, the consumer products and retail (CPR) industry will be unrecognizable. Not because of incremental improvements, but because of a seismic shift—one driven by the rise of Generative AI (GenAI) and Agentic AI . - [OpenAI’s Deep Research: The Next Leap in Work Transformation](https://www.linkedin.com/pulse/openais-deep-research-next-leap-work-transformation-dinand-tinholt-rm6cc): 2025-02-11, LinkedIn, Work, economy & the future. Last week, OpenAI launched Deep Research, a new capability that pushes the boundaries of how businesses and professionals interact with knowledge. - [The Quiet Revolution: How GenAI is Reshaping Consumer Products](https://www.linkedin.com/pulse/quiet-revolution-how-genai-reshaping-consumer-products-dinand-tinholt-0grgc): 2025-01-23, LinkedIn, Retail & consumer goods. The GenAI maturation is happening quietly, behind the scenes, in the world of consumer packaged goods (CPG), retail, and distribution (CPRD). - [Symbiotic Intelligence Theory (SIT): Rethinking Human Potential in the Age of AI](https://medium.com/@tinholt/symbiotic-intelligence-theory-sit-rethinking-human-potential-in-the-age-of-ai-4664c8840652): 2025-01-23, Medium, Work, economy & the future. A framework for thinking about human agency and the ways AI can extend our capacity to think together. - [AI Isn’t Just Replacing Jobs - It’s Rewriting Business Rules](https://www.linkedin.com/pulse/ai-isnt-just-replacing-jobs-its-rewriting-business-rules-tinholt-pfegc): 2025-01-15, LinkedIn, Work, economy & the future. Imagine being the CEO of a $6.7B company and declaring that your business doesn’t need humans anymore. - [Key Trends from NRF 2025: Shaping the Future of Retail](https://www.linkedin.com/pulse/key-trends-from-nrf-2025-shaping-future-retail-dinand-tinholt-xq3oc): 2025-01-14, LinkedIn, Retail & consumer goods. It's a wrap for 2025's NRF Retail Big Show. It's clear that 2025 is set to be a transformative year for the retail industry. - [We’ve been talking about major productivity gains from AI agents.](https://medium.com/@tinholt/weve-been-talking-about-major-productivity-gains-from-ai-agents-796b2bd5a18c): 2025, Medium, Work, economy & the future. Their internal study of 132 engineers reveals something we need to start accounting for in our business cases: 27% of AI-assisted… - [The AI Iceberg Isn’t What You Think, and That’s Exactly](https://medium.com/@tinholt/-d261ec1dc65d): 2025, Medium, Work, economy & the future - [The Great Disconnect: Why the AI Revolution Is Missing from Economic Data](https://medium.com/@tinholt/the-great-disconnect-why-the-ai-revolution-is-missing-from-economic-data-31187ee30377): 2025, Medium, Work, economy & the future - [From Language Models to World Models and Why the Conversation Just Got Real](https://medium.com/@tinholt/from-language-models-to-world-models-and-why-the-conversation-just-got-real-3ebab3fd5aca): 2025, Medium, Models & the AI market. A few months ago I wrote a piece titled From Language Models to World Models: Building the AI Operating Layer for Business. - [Kimi K2 and the Quiet Shift in Enterprise AI](https://medium.com/@tinholt/kimi-k2-and-the-quiet-shift-in-enterprise-ai-a6d143bd45a0): 2025, Medium, Models & the AI market. Kimi K2 may turn out to be one of those quiet turning points that only later becomes obvious. - [Inside the Carnegie Mellon and Stanford Study: How AI Agents Work 88% Faster but Still Need Humans](https://medium.com/@tinholt/inside-the-carnegie-mellon-and-stanford-study-how-ai-agents-work-88-faster-but-still-need-humans-e1b5cecb470b): 2025, Medium, Work, economy & the future. For years, the conversation in boardrooms and tech conferences has revolved around the same big question: will AI replace human workers? - [When’s the Last Time You Asked, ‘Did You Use PowerPoint?’](https://medium.com/@tinholt/-e7ead1fbc66c): 2025, Medium, Ideas & culture. Two days ago, Seth Godin wrote a piece I particularly enjoyed called ‘The Writer’s Room’. - [AI genius on demand?](https://medium.com/@tinholt/ai-genius-on-demand-f5d0125bf291): 2025, Medium, Work, economy & the future. I just read the paper ‘Genius on Demand: The Value of Transformative Artificial Intelligence’. - [Stop focusing only on prompts.](https://medium.com/@tinholt/-39cbbb81c26c): 2025, Medium, Data, context & memory. Stop focusing only on prompts. Start engineering context. - [The Next AI Race: Why Smart Beats Big](https://medium.com/@tinholt/-7645a9ca5d4e): 2025, Medium, Models & the AI market. The GPU arms race is ending. The efficiency war has begun. - [The Future of AI Isn’t Bigger Models, It’s Smaller](https://medium.com/@tinholt/-b0d9b186767a): 2025, Medium, Models & the AI market. The center of gravity in AI is shifting from brute force generality to right-sized intelligence. - [Agentic AI: Autonomy Begins in the Unexpected](https://medium.com/@tinholt/agentic-ai-autonomy-begins-in-the-unexpected-380af42e2709): 2025, Medium, The agentic enterprise. I was listening to a presentation from my colleague Andreas Sjostrom this morning and a statement he made that stuck with me is that… - [Stop Waving Around ‘95% of GenAI Pilots Fail.’ It’s Not the Whole Story.](https://medium.com/@tinholt/stop-waving-around-95-of-genai-pilots-fail-its-not-the-whole-story-dded82cad366): 2025, Medium, The agentic enterprise. The MIT ‘State of AI in Business 2025’ report has been making waves with the headline that 95% of GenAI pilots fail. - [A New Chapter in Enterprise Intelligence: What GPT-5 Signals for Business](https://medium.com/@tinholt/a-new-chapter-in-enterprise-intelligence-what-gpt-5-signals-for-business-8e3ce41f2694): 2025, Medium, Models & the AI market - [If your AI strategy still starts with a dashboard](https://medium.com/@tinholt/-ac5303feb062): 2025, Medium, Data, context & memory - [The Future of AI: What Ethan Mollick Says Awaits Us in 2025](https://www.linkedin.com/pulse/future-ai-what-ethan-mollick-says-awaits-us-2025-dinand-tinholt-oadzc): 2024-12-11, LinkedIn, Work, economy & the future. We’re standing at the edge of a technological revolution, and artificial intelligence (AI) is at its heart. - [The Thousand-Day Countdown: Sam Altman’s Provocation and the Dawn of Super-intelligence](https://www.linkedin.com/pulse/thousand-day-countdown-sam-altmans-provocation-dawn-dinand-tinholt-t25fc): 2024-12-06, LinkedIn, Work, economy & the future. Yesterday, Sam Altman of OpenAI dropped a subtle but seismic provocation at the DealBook Summit: super-intelligence is coming in a matter of "a few thousand days." That’s a little under a decade. - [OpenAI's ChatGPT Pro: Revolutionizing Business or Just Hype?](https://www.linkedin.com/pulse/openais-chatgpt-pro-revolutionizing-business-just-hype-dinand-tinholt-yagvc): 2024-12-05, LinkedIn, Models & the AI market. OpenAI has launched ChatGPT Pro, a $200 per month enterprise-grade AI service. This move raises questions about the future of work, the accessibility of advanced AI, and OpenAI's strategic direction. - [AI ‘Buy With Pro’ Feature: A Game Changer for Retail](https://www.linkedin.com/pulse/ai-buy-pro-feature-game-changer-retail-dinand-tinholt-56pic): 2024-12-05, LinkedIn, Retail & consumer goods. E-commerce is evolving at breakneck speed, and Perplexity’s innovative ‘Buy With Pro’ feature is leading the charge. - [From Chaos to Managed Complexity: Adopting an Ecosystem Mindset in Data & Analytics](https://www.linkedin.com/pulse/from-chaos-managed-complexity-adopting-ecosystem-mindset-tinholt-a3g6c): 2024-11-01, LinkedIn, Data, context & memory. A case for treating modern data environments as evolving ecosystems rather than trying to force every source and decision into one rigid center. - [Decentralized Data Governance and Data Virtualization: Revolutionizing the Speed of Analytics](https://www.linkedin.com/pulse/decentralized-data-governance-virtualization-speed-dinand-tinholt-x8d8c): 2024-08-28, LinkedIn, Data, context & memory. In the ever-evolving landscape of digital innovation, a quiet transformation is underway, one that could significantly alter the way businesses and organizations handle their most valuable asset: data. - [The Liminality of Data: A Glimpse Between the Thresholds](https://www.linkedin.com/pulse/liminality-data-glimpse-between-thresholds-dinand-tinholt): 2023-10-03, LinkedIn, Ideas & culture. What the idea of liminality can teach data and AI leaders about working between an established order and one that has not yet taken shape. - [Generative: A dance of minds](https://www.linkedin.com/pulse/generative-dance-minds-dinand-tinholt): 2023-05-18, LinkedIn, Work, economy & the future. In a study published by Eloundou et al. it is predicted that 80% of the U.S. workforce will have at least 10% of their work affected by #AI . This impact is increasingly impacting white collar jobs - the work of knowledge workers. - [Everyone's invited to the data party](https://www.linkedin.com/pulse/everyones-invited-data-party-dinand-tinholt): 2023-05-15, LinkedIn, Data, context & memory. The world of data has long been confined to the dominion of data scientists, data engineers and IT experts, nestled snugly in their ivory towers of coding prowess and analytical acumen. - [Creating a data-powered culture](https://www.linkedin.com/pulse/creating-data-powered-culture-dinand-tinholt): 2022-01-21, LinkedIn, Data, context & memory. A durable starting point for making data part of everyday decisions: connect technology, shared habits and organizational confidence. - [What Anthropic’s AI Advertising Stand and Legal Plugin Reveal About the Future of Enterprise AI](https://medium.com/@tinholt/what-anthropics-ai-advertising-stand-and-legal-plugin-reveal-about-the-future-of-enterprise-ai-1e97d8a1eb85): Medium, Models & the AI market. Over the past few days, significant attention has been directed toward Anthropic’s latest announcements, including the release of a… - [What Novel Do You Want That Doesn’t Exist?](https://medium.com/@tinholt/what-novel-do-you-want-that-doesnt-exist-1f3c6647b27d): Medium, Ideas & culture. Over Christmas, I finished Upgrade by Blake Crouch and hit that familiar wall: the story ends, you want more, but there’s no sequel. - [The Right Tool for Each Step](https://medium.com/@tinholt/the-right-tool-for-each-step-fb444a35222e): Medium, The agentic enterprise. When your primary tool is a large language model, every business process starts looking like a conversation to generate. - [Agentic AI Needs Cognitive Goals](https://medium.com/@tinholt/agentic-ai-needs-cognitive-goals-021ea96bc787): Medium, The agentic enterprise - [Why Your AI Sounds Smart but Learns Nothing](https://medium.com/@tinholt/why-your-ai-sounds-smart-but-learns-nothing-20a33aeffb37): Medium, Data, context & memory. People keep saying AI is getting smarter. Most of the time what they really mean is that it sounds better. It talks more smoothly. - [From Games to World Models: Why 2026 Will Be the Year AI Learns to Act](https://medium.com/@tinholt/from-games-to-world-models-why-2026-will-be-the-year-ai-learns-to-act-172378528219): Medium, Models & the AI market. For the past two years, most leaders have experienced AI as a word machine: reading, writing, summarizing, and explaining. - [The Blueprint Is Showing](https://medium.com/@tinholt/the-blueprint-is-showing-b6b3ec4945b5): Medium, Work, economy & the future - [The Future of Intelligence: Insights from Demis Hassabis](https://medium.com/@tinholt/the-future-of-intelligence-insights-from-demis-hassabis-5089d3e59d0a): Medium, Ideas & culture ## Optional - [Reimagining Revenue Assurance with Agentic AI](https://technologymagazine.com/webinars/reimagining-revenue-assurance-with-agentic-ai): Technology Magazine · Capgemini + Snowflake, 2025. A strategic session on using agentic systems across order-to-cash, deduction management and revenue recovery. - [The tools are alive—and working when you’re not looking](https://www.capgemini.com/news/events/disneys-data-and-analytics-conference-2025/): Disney’s Data & Analytics Conference, Sep 10, 2025. A live session on agents that monitor signals, investigate issues and recommend action across an organization. - [Practical AI for procurement and supply chain](https://supplychaindigital.com/operations/6-new-speakers-join-procurement-supply-chain-live-chicago): Procurement & Supply Chain LIVE Chicago, May 28–29, 2025. A conversation with Vitold Horodecki about moving agentic AI from abstract promise to measurable procurement and supply-chain practice.