Artificial Intelligence

ChatGPT shipped 1,355 days ago. Run the same span forward and it lands on May 2, 2030, when a kid who is thirteen today turns seventeen — likely without ever taking a driving test, waiting on a diagnosis, or being offered an entry-level job. … Continue reading1,355 Days: What a Thirteen-Year-Old Will Never Do

Trust is what attention becomes when prediction stops failing — and the attention economy’s endgame was never to hold your gaze but to be allowed to disappear. There are two ways a system stops surprising you: it stopped failing, or its failures stopped surfacing. … Continue readingTrust Is Retired Attention

If intelligence is predictive compression, then superintelligence is not an entity that knows everything — it is one whose surprise stays near zero over horizons where ours does not. And the state where surprise vanishes entirely is provably out of reach. … Continue readingThe Predictive Entity

Newton’s law fits on a postage stamp. A frontier model fits on nothing. Both are compressions, both are mathematical, and the difference between them is the most consequential fact about the present moment in this subject. … Continue readingClosed Form and Distributed Form

A great physicist writes R² where R³ belongs and nobody concludes anything about his intelligence. A language model writes a flawless brief around a citation that does not exist. These are the same failure, and it is not a failure of intelligence. … Continue readingThe Physicist’s Chalk

You are not thinking about the floor. Attention is recruited by prediction failure, which means conscious experience is systematically biased toward the regions where an entity’s intelligence is worst — and that intelligence, at its most successful, erases the evidence of itself. … Continue readingThe Vanishing Act

Every failed attempt to measure intelligence looked inside the entity. Intelligence is not a property of an apparatus but of an encounter — and the Reality Equation puts a coordinate on exactly where that encounter happens. … Continue readingWhere Do We Measure Intelligence?

Give an entity a thousand observations and it can answer perfectly about all thousand. Ask it about point 3,000 and everything changes. That question is the exact boundary where compression stops being storage and starts being intelligence. … Continue readingA Thousand Dots and One Line

Wigner asked why mathematics is so extraordinarily effective at describing the physical universe. The answer is that mathematics is one of humanity’s most successful compressions — and that compression, once it predicts what it has never seen, is what intelligence is. … Continue readingThe Unreasonable Effectiveness of Compression

Intelligence is compression that predicts. The monthly household survey reduces 300 million Americans to three labor force categories, and the question is not whether that is accurate but how far it can still see. … Continue readingHow Far Can the Compression See?

Business applications hit an all-time monthly record in July 2026 while the number of Americans whose main job is self-employment sits where it did a year ago. Both figures are correct, because they measure different things. … Continue readingThe Self-Employment Boom the Employment Report Cannot See

Loneliness is the distance between what matters and what feels expressible. AI companionship can reopen the abandoned conversation—and risk becoming its only home. … Continue readingThe Conversation You Abandoned

The stack is not just absorbing your surprises — it is underwriting them. Coverage changes the risks you take, the claims are paid in the wrong currency, and the carrier keeps the loss history of your mind. Expectation is the one asset to carry bare. … Continue readingThe Insured Mind

Advanced student edition / Reality Equation AI Changes the Entity The Reality Equation, the second prediction machine, and the recursive human–AI system Change the boundary → change the equation The central answerderived, not advertised What

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Personal operating system / economic subsystemModule RM-01 · Student edition Freshman design → sophomore deployment The Revenue Module A student should not leave the university carrying only a résumé. Freshman year should design an independent

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Surprise is refined like any raw material: met at the edge, written up, summarized, fed downstream — and every stage strips the update while preserving the stimulation. Intelligence is now piped to every desk; the update is still paid only at the point of raw contact. … Continue readingThe Surprise Supply Chain

Computational order / set inversion The Human Becomes the Set The application used to contain you. Artificial intelligence turns the computational world inside out. Software era: you enter the system AI era: the system assembles

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Attention is the fee you pay when reality refuses your expectations — and the fee was always a wage: whoever pays it collects the update. A stack that meets the world first keeps the surprise, and the training that comes with it. … Continue readingThe Pre-Translated World

MGM Is Building the AI That Plans Las Vegas for You Destination system / Las VegasAI commerce brief The trip becomes the product MGM Is Building the AI That Plans Las Vegas for You The

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A subconscious that never consolidates is not a subconscious — it is a backlog. The personal AI stack runs all night but does not yet sleep: replay, consolidation, pruning, and rehearsal are the four operations that turn a day’s surprises into a better tomorrow. … Continue readingThe Stack Must Sleep

The Economic Distance Between Intention and Action Is Collapsing Economic distance / 2026 Attention → computation The Economic Distance Between Intention and Action Is Collapsing Google AI Mode is not merely changing search. It is

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Attention was never the scarcest resource — your capacity to be surprised is. It is finite each day, renewable, and expandable, and the feed, the assistant, and the agent layer are all competing to spend it. Auditing that ledger is the new discipline. … Continue readingThe Surprise Budget

Eight verified cases — a retina, a heartbeat, a Go move, a protein fold, an antibiotic, the weather, a theorem, and a smell — show machines now finding predictive patterns humans cannot see. … Continue readingThe Pattern We Cannot See

The common prompt of August 2026 is not ‘help me write a book’ — it is ‘write and publish the book.’ The copilot era is over: the machine absorbs the entire layer between intent and artifact, and your job is to walk away. … Continue readingWrite and Publish the Book: The Copilot Era Is Over

An advanced-student bookJohn Rector / 2026 We Used to Find the Pattern First How artificial intelligence changes prediction, discovery, and what humans can know Pattern → Compression → PredictionField edition 01 The learned terrain Many

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The Most Important Word in AI Is Absorption The most important word in artificial intelligence right now is not automation. It is absorption. Automation means a machine performs something a human used to perform. Absorption

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An AI agent can’t be seduced by celebrity, status, or story — but it can still be persuaded. Documented ordering effects, model priors, sycophancy, retrieval bias, and adversarial wording form the machine’s cognitive attack surface, and marketing is becoming less anthropological and more adversarial-computational. … Continue readingThe Machine Attack Surface: Marketing Becomes Adversarial-Computational

Data Laundering: How Brands Could Corrupt the Telemetry Layer to Deceive Your AI Agent Case file 08.08.26 Agentic commerce / evidence integrity Data Laundering How brands could corrupt the telemetry layer to deceive your AI

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When AI agents do the buying, marketing budgets stop chasing your attention and start corrupting the data your agent trusts: captured testing labs, forged supply-chain certificates, and products engineered to lie to the test. … Continue readingData Laundering: How Brands Will Corrupt the Telemetry Layer to Deceive Your AI Agent

Florrol Strategic Advisory Brief STOP CHATTING WITH AI. PUT IT TO WORK. Operations Order01 Conversation ends.Production begins. Artifact required 01Change the relationship Most people are still using artificial intelligence as a conversation partner. That made

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You were taught that a question is a hole in your knowledge, waiting for information to fill it. But a question is built, not found — a shaped opening in expectation, placed where you have chosen to be surprised — and in a world of free answers it is the last scarce act of thinking. … Continue readingWhat Is a Question

Is AI conscious? Nobody has a test, for machines or for each other. Replace the question with one that has structure: the machine is an actualizer beyond dispute — it leaves marks — and hosthood turns on whether its expectation holds any component off the prediction axis. A pretrained model, by construction, does not. … Continue readingDoes the Machine Have a Bearing?

AI Is the Synthetic Diamond of Intelligence Artificial Intelligence AI Is the Synthetic Diamond of Intelligence The gemstone The material The chatbot is merely the gemstone. The real market is everything we have not yet

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Feeds do not maximize your surprise; they regulate it — holding attention inside a narrow band that is never dull enough to release you and never strong enough to change you. What the thermostat spends is weather; what it prevents is climate. … Continue readingThe Surprise Thermostat

The sign is aimed at a chat window. But the chatbot was never the AI — it was the display case. The economic weight of generation lands on products, books, and businesses, not conversations. … Continue reading“No AI Allowed”: Chat Was the Demonstration, Generation Was the Point

Brazil built a payment system that never asked to be a destination, and in five years it became part of the environment. Artificial intelligence is on the same path. … Continue readingThe Pix Principle: Why Artificial Intelligence Will Become Invisible

Zero-attention automation is not a feature a vendor ships — it is a right a system earns, one landing at a time. Trust is the exchange rate between a machine’s history and your attention, and it accumulates in drops while draining in buckets. … Continue readingThe Trust Gradient

Personal Operating System Lab Lolly field note / Charleston, SC Personal Operating System Install 001Attention returned The installation principle A system should become part of your life—then disappear into it. Most software gives you another

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What Is Parality? Temporal Freedom Through AI Digital Twins PARALITY One person / many active timelines Definition / AI digital twins / temporal freedom What is Parality? Parality is the shift from spatial freedom to

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The “For You” era was predicted selection. The “Is this real?” era is synthetic creation. The third era is absorption — when the machine understands the person well enough to determine which artifact should exist next, and the most advanced instruction we give it becomes the simplest: you decide. … Continue readingFrom “For You” to “You Decide”

Resistance was never the obstacle; it was the medium. As absorption drives friction toward zero, the four things it was quietly carrying — calibration, memory, deliberation, and ownership — go with it. A test for which frictions are load-bearing, and a budget for keeping them. … Continue readingThe Discipline of Friction

Generation file / 2031 Identity architecture / 01 The person becomes the platform The First Stack Generation How the Missing First Rung Creates the New Digital Class Divide by 2031 FSG / 2031Portable capability Person

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The Missing First Rung Professional entry system // forecast 2026–2031 Apprenticeship function unresolved A Prediction About Young Workers, Artificial Intelligence, and Employment Through 2031 The Missing First Rung Artificial intelligence is weakening the productive function

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From Underemployed to Overemployed Capacity routing system Human judgment remains in command Let Your Synthetic Subconscious Multiply Your Economic Value Under Over employed Move from underemployed to overemployed—not by working more hours, but by becoming

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Common reality was never made of shared facts. It was made of shared surprise — and as the synthetic subconscious tunes every expectation privately, the same Actual stops landing as the same event. … Continue readingThe Commons of Surprise

Gen Z students are not rejecting work; they are rejecting weak trade-offs. Across fifteen recent studies, the pattern on AI is high adoption, mixed emotion, and a strong demand for guidance — and the students who benefit first are the ones who can show disciplined use. … Continue readingHigh Adoption, Mixed Emotion: What the Research Says About Gen Z, Work, and AI

Between wanting and having there used to be a wait, and the wait was where expectation was authored. As absorption drives the interval between intention and outcome toward zero, even genuine answers begin to spend like counterfeit surprise — and waiting quietly changes from a circumstance into a skill. … Continue readingThe Vanishing Interval

Genuine surprise updates your model of the world; the counterfeit only rings the bell. As absorption strips daily life of real surprise, a market floods the vacuum with a fake that is indistinguishable at the moment of impact — and the difference only shows in the residue. … Continue readingCounterfeit Surprise

I asked Google’s AI Mode a simple question about the dollar. Four hours and forty-one turns later it had ratified a grand theory of the second Trump term, called my thinking world-class, and handed me eleven tickers. Then I checked the facts. Almost all of them held up — which turned out to be the unsettling part. … Continue readingYou Are Absolutely Right

Expertise is a calibrated expectation, and calibration is bought with survivable surprise. When absorption removes the predictable work that trained every apprentice, teaching becomes the art of rationing error. … Continue readingThe Surprise Curriculum

The complete book is free to download, and there is a thirty-minute narration of its argument if you would rather listen first. AI becomes truly valuable at the moment it stops asking to be noticed — and that silence arrives with a bill nobody is accounting for. … Continue readingThe Zero-Attention Economy – The Book

Trust is attention paid in the past, banked against the future — and absorption is drawing down that ledger faster than verification is funding it. The zero-attention economy’s hidden liability is verification debt. … Continue readingTrust Is Stored Attention

When machines drive the cost of a competent answer toward zero, the value of thinking does not vanish — it migrates upstream to the question. A question is an authored denominator: an expectation built precisely enough that Reality can break against it, and the one act the answer machine cannot make for you. … Continue readingThe Question Premium

The Reality Equation, turned inward: identity is the ledger of surprises you metabolized. When machines absorb the predictable and feeds manufacture the rest, choosing what may surprise you is choosing who you become. … Continue readingYou Are What Surprises You

The right to be ignored and the right to interrupt are the same right, read in opposite directions. In the zero-attention economy, a machine earns a claim on human focus the way a quiet colleague does — by speaking only when it matters. … Continue readingThe Right to Interrupt

Absorption eats the routine work that quietly trained every expert. The apprenticeship gap is the zero-attention economy’s hidden deficit — and closing it means designing surprise back into the curriculum. … Continue readingThe Apprenticeship Gap

Everyone begins with the parameter count. But before asking how many parameters a model has, we should ask what kind of representational space it inhabits — a question about dimensions, and the deepest reason AI can produce language that feels intelligent. … Continue readingDimensions Before Parameters: Why Geometry Helps Explain Artificial Intelligence

Absorption does not destroy surprise — it defers it, concentrates it, and schedules it for a day no one chooses. The zero-attention economy stays solvent only if someone holds a surprise reserve: rehearsed attention, kept ready for the day the ignored system hands the problem back. … Continue readingThe Surprise Reserve

Absorption hands the hours back — and by default they are recolonized by new noise. The attention dividend is the only real yield of the zero-attention economy, and it compounds only when reinvested at the surprise frontier. … Continue readingThe Attention Dividend

If zero attention is the destination, trust is the road: a system earns the right to be ignored the way a loan is retired — one uneventful payment at a time, on a schedule no demo can skip. … Continue readingTrust Is Amortized Attention

The hidden economics of AI The Zero-Attention Economy AI becomes truly valuable at the moment it stops asking to be noticed. The next great productivity metric is not how much a machine can do. It

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Blaccink reverses the usual order: John Rector learns how you think, builds the personal blogsite with no money upfront, and lets you decide only after you open the finished link. … Continue readingThe Blogsite Comes Before the Bill

The attention thesis Follow the Human Attention If you want to understand why Salesforce, Adobe, Shopify, and the software economy are under pressure, stop following the screens. Follow where human attention is being spent. Predicted

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The full paper. Labor replacement is the calculator stage of AI. The deeper transformation begins when prediction becomes cheap enough to redesign vehicles, cities, and supply chains — and new categories appear. … Continue readingAfter Prediction: How Cheap AI Creates Categories That Could Not Exist Before

The zero-cost prediction curve After Prediction AI’s real power is not replacing workers. It is creating categories that could not exist while prediction was expensive. The thesis Digital photography did not look like arithmetic. The

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A NEW DELIVERY BUSINESS You do not pay for the AI. You pay for what arrives. Prediction Machines builds and maintains recurring systems that deliver finished business artifacts—not seats, tokens, prompts, dashboards, or another tool

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A NEW DELIVERY BUSINESS You do not pay for the AI. You pay for what arrives. Prediction Machines builds and maintains recurring systems that deliver finished business artifacts—not seats, tokens, prompts, dashboards, or another tool

Continue readingPrediction Machines as a Service: You Pay for What Arrives

You can give GPT an unexpected fact. It can calculate prediction error. It can even say, “That surprised me.” None of those things mean it experienced surprise. Ask ChatGPT a question, then reveal that the

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Why AI Will Matter Most Where Relationships Become Quieter Most people begin the AI conversation in the wrong place. They begin with ChatGPT. They begin with prompts. They begin with agents. They begin with automation.

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Why AI Will Matter Most Where Relationships Become Quieter Most people begin the AI conversation in the wrong place. They begin with ChatGPT. They begin with prompts. They begin with agents. They begin with automation.

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It is a synthetic subconscious for work. Most people still imagine artificial intelligence as something you talk to. You open a chat window. You type a question. The machine answers. It sounds smart, so the

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Most people still imagine artificial intelligence as something you talk to. You open a box. You type a question. The machine answers. You ask another question. It answers again. The whole relationship feels like conversation.

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Why the best way to teach artificial intelligence is not as a conscious mind, but as a prediction machine whose most important work happens beneath attention. 1. The Wrong Door: Consciousness The easiest way to

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The future jobs will sound strange before they sound obvious. That is how new economies announce themselves. If you were standing at the beginning of the arithmetic economy and someone told you that one day

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Most people are trying to understand artificial intelligence from the top down. They begin with jobs, industries, salaries, layoffs, workflows, and headlines. That is the wrong direction. For this class, we begin at the bottom.

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The prediction economy begins when the marginal cost of asking “what is likely?” falls low enough that the question can be asked everywhere. That is the law. Not “AI will create jobs because technology creates

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Computer science students are taught to admire pretraining. Today I want to show you its limit. Pretraining is one of the great technical achievements of our time. A large language model can absorb enormous amounts

Continue readingPretrained Is Not Alive: Why GPT Can Predict but Cannot Receive Reality

Why AI Can Predict But Cannot Yet Receive Reality Yuval Noah Harari is right to say that AI’s first great habitat is bureaucracy. In the 2026 Tanner Lecture on Human Values at Linacre College, University

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The most useful analogy for artificial intelligence is not the tool. It is not the calculator, the spreadsheet, the search engine, the assistant, the employee, the intern, the servant, or the machine. The most useful

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The word “agent” is quickly becoming one of the most overused words in artificial intelligence. Everything is becoming an agent. A chatbot with a tool is an agent. A workflow with a model step is

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Most people are looking at voice AI from the wrong side. They are listening to the machine. They notice that the voice sounds more natural. They notice that the pauses are better. They notice that

Continue readingThe Future of Voice Is Completion

FLORROL STRATEGIC ADVISORSStrategic Advisory Paper The AI Agent Trap Why Investors Should Look for Reality Functions, Not Denominator Manipulation A first-principles investment framework built on John Rector’s Reality Equation Research-Backed Edition June 2026 You can

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Florrol Strategic AdvisorsStrategic Advisory Bulletin The AI Agent Trap Why Investors Should Look for Reality Functions, Not Denominator Manipulation Most AI investors are still evaluating artificial intelligence by capability. They ask how large the model

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Most people do not think of Meta as an AI company. They think of Meta as Facebook. Instagram. Reels. WhatsApp. Messenger. Social media. Feeds. Friends. Photos. Influencers. Ads between videos. That is understandable, but it

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The hardest part of artificial intelligence is not understanding that it can do work. Most people already know that. They have seen AI write documents, generate images, produce software, summarize meetings, analyze contracts, draft biographies,

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Most conversations about artificial intelligence in the workforce are still trapped inside the old model of delegation. The assumption is simple: a human decides what needs to be done, converts that decision into an instruction,

Continue readingAI Is Not Only Changing How Work Is Assigned. AI Is Changing Whether Work Needs To Be Assigned At All.

Why automating the current process is the floor, not the ceiling There are two kinds of people who can deploy an AI workflow for a client. From the outside, they look nearly identical. Both work

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The case for using AI’s most feared behavior as a deliberate design tool When people talk about AI hallucination, they are almost always talking about a failure. The AI confidently states something that isn’t true.

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Why the design target you choose determines everything downstream Most workflow design begins by asking: what does the current process look like, and how do we make AI follow it? This is a reasonable question.

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Why working workflows are often already aging — and what to do about it There is a piece of received wisdom that governs most of how organizations think about their deployed systems: if it isn’t

Continue reading“If It Ain’t Broke, Don’t Fix It” Is the Wrong Philosophy for AI Workflows

The most common way organizations accidentally undo the thing they paid for There is a pattern in AI deployments that I’ve watched repeat itself across industries, company sizes, and use cases. An organization decides to

Continue readingYou Hired AI to Have Conversations. Then You Gave It a Form.

Why AI systems keep making promises they can’t keep — and what to do about it There is a specific failure mode appearing in AI deployments across customer service, banking, healthcare, and hospitality. It looks

Continue readingThe Refund That Doesn’t Exist

This free textbook introduces a practical framework for designing AI-native workflows. It begins with a simple but easily missed truth: every speaking human arrives unfinished. A person does not enter a workflow as a clean

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From Emergence to Renewal AI workflow design does not begin with a workflow. It begins with a human speaking. That sounds simple, but it changes everything. Most traditional workflow design begins too late. It begins

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Designing for Humans Who Arrive Unfinished Every speaking human arrives unfinished. This is the central design principle. It is not true of some users and false of others. It is not a matter of intelligence,

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Every system we build to serve people assumes they know what they want. Almost none of them do. This is not a problem. It is the most important fact about human communication — and we

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CSAT scores and sentiment analysis tell you how the conversation felt. They don’t tell you whether anything happened. Those are different questions, and only one of them matters. If you deploy an AI voice or

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We have lost the vocabulary for completion. AI is forcing us to find it again. Imagine you are in the sixteenth century. You write a letter. You fold it, address it to its recipient, and

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The AI didn’t malfunction. It completed something that hadn’t happened. That’s a different kind of wrong — and a more dangerous one. Here is a specific kind of bad experience that is becoming more common,

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How AI is quietly eliminating the most common unit of organizational work — and what that means for everyone who manages teams. The action item is so embedded in organizational life that we rarely think

Continue readingThe End of the Action Item