Thinks 2137

FT: “Many tech leaders believe software that can take actions on your behalf, removing the drudgery of routine work and personal tasks, represents a huge opportunity. Exactly what form this will take, however, is less clear. The rewards for finding the right formula are likely to be huge: personal agents could become a new entry point to the digital world and turn their makers into the next gatekeepers. So far these include Muse from Meta and dots from OpenAI, while Microsoft has revamped its Copilot assistant to act more autonomously, Apple added agentic features to its Siri assistant in its latest iOSG and Google launched a new work assistant in Gemini. Several start-ups are also angling for attention, most notably Instinct, which launched an invitation-only test over the summer.” WSJ: “The difference between a regular chatbot and an agent is that users typically ask agents to carry out tasks, like organizing their calendar or booking an appointment. The agent then breaks this prompt down into a series of steps, which are for convenience often not spelled out to the human it’s working for. Agents typically know to ask permission before doing major things like making purchases or deleting files, but other than that, they can have free rein. If a user’s prompt is unclear, or if there are many ways to execute the requested action, mayhem might ensue.”

Cato: “Over the past 25 years, Madrid has quietly carried out a free-market transformation. While much of Europe moved toward expanding regulation and growing state control, Spain’s capital region chose a different path—lowering taxes, cutting red tape, opening markets, and partnering with the private sector to improve public services. Today, Madrid’s economy, roughly the size of Portugal’s, stands as one of Europe’s most dynamic regional success stories. The results are measurable: faster growth than the national average, stronger job creation, rising incomes, and increased foreign investment. But Madrid’s story is not only about economic policy. Nearly half of its residents were born in another Spanish region or abroad. Rather than relying on identity-based politics, Madrid has fostered integration through opportunity and equal treatment under the law.”

WSJ: “As more companies add AI to their daily workflows, they will also need strategies to manage their use, such as training employees on which model to use for a particular task. Otherwise, they could end up with IT bills that come out of a black box.”

Ingar Haaland: “With math essentially being delegated to OpenAI, here’s what I predict for economics and the social sciences more generally: The top tier of research will just become better and it will be normal human-led research where AI is used for scale (e.g. conducting qualitative interviews with relevant populations, running behavioral interventions in the field, analyzing massive text data, etc.) Field experiments will rise in value and generally making “connections” with firms and being able to run stuff (potentially testing AI pipelines) will be in high demand. Research with administrative data will become even more valuable, but the benefits might be concentrated among some prolific authors who are allowed by the government agencies to use local models to analyze the data at scale. PhD students can probably forget about it. Economic history will have a very exciting boom and there will be an enormous race and big rewards for digitizing archives as a source to both identify new research strategies and document new descriptive facts.” [via Tyler Cowen]

From Rented to Owned: The Two Assets Every Enterprise Must Build in the AI Age

What if the two largest recurring bills in a modern enterprise are rent on assets it could own?

Two invoices reach a chief executive’s desk every month. They come from different departments, are approved by different people and sit on different lines of the P&L. Nobody puts them side by side.

The first comes from marketing. Much of it pays platforms to reach people the company already knows: customers who bought last year and opened emails last quarter, and who must now be found again through an auction, at a price someone else sets. In The Profit You Already Own I called this the reacquisition tax.

The second comes from technology. It pays for intelligence: AI assistants by the seat, model calls by the token, support agents by the resolution. Most of it is priced in dollars, for markets where labour costs many times what it costs in India.

The two invoices have the same shape. Both pay for access to a capability the company does not control. Both must be paid again next month. On their own, neither builds anything the company keeps. The answer is not to stop renting. It is to decide what to rent and what to keep, and the AI era makes that decision newly urgent for both attention and intelligence.

1

 Two decades of renting

For twenty years, renting was the rational choice. Platforms offered reach no single company could build: search intent, social feeds, programmatic exchanges. Software providers offered processing no single company wanted to maintain. Renting bought speed and scale, turned fixed costs into variable ones and let small teams do large things.

Renting and owning were never opposites. A brand can use paid media to find new customers and still build a valuable first-party relationship with them. The trouble starts when renting becomes the default for problems the company could solve itself, such as reaching people it already knows. Rent buys access; on its own, it does not build an asset. The test is what remains when the invoice stops.

In The Intent You Rent Back I traced how brands hand their customers’ intent to adtech and then pay to rent it back. The brand holds the relationship history; the platform holds the signal that makes the history useful. Each year the brand pays again for what it once had.

2

The second rental

AI is arriving priced the same way. Assistants sell for around $20 a seat a month, a price set for the best-paid knowledge workers in rich economies. Model APIs bill per token. Customer-service agents bill per outcome: Intercom’s Fin, the reference most often quoted, charges $0.99 per resolution. These are sensible prices for vendors, and for many buyers the fastest route to capability. But they are set for dollar labour markets. An enterprise in India employing thousands in support, sales or operations faces different arithmetic.

Price is not the only issue, and the risk is not the one usually assumed. The leading model providers do not train on business customers’ data by default; the vendor is not learning the enterprise’s secrets. The risk is that the enterprise forgets. If its context lives only in prompts, chat histories and vendor tools, it must be rebuilt, and paid for again, with every new model, contract or vendor. The AI era risks making enterprises dependent on platforms for intelligence, just as the digital era made them dependent on platforms for attention.

This is not an argument against frontier models. Hard problems need them. But everyday work can be separated from occasional complex reasoning, and a small model is often enough to recognise a promise, track its date and check whether it was kept. Across a whole workforce, that distinction matters more than model rankings. Emerging markets feel it most. Data rules such as India’s DPDP Act reward enterprises that know where their models run and what they did, and the local rails that matter most, from Indian languages and WhatsApp to UPI and GST, are edge cases for global products and the whole job for local ones.

3

 What “owned” means

The word needs care, because neither asset can be owned in the literal sense.

Attention is never owned. A customer’s attention is earned, kept and lost one interaction at a time. What a brand can own is the relationship that earns it: the right to reach the customer directly, the history of what they engaged with, the habit of coming back. Where a partner operates that relationship for the brand, the brand still keeps the data.

Intelligence is not owned by building a foundation model either. Few enterprises should try. What an enterprise can own is control: who may see what, the organisational memory the AI draws on, the rules for what software may do, and the ability to change models without losing history.

Rent the capabilities that commoditise. Own the assets that compound. Reach for new demand, models and compute can be rented, and should be swapped as prices fall. Relationships with known customers, memory, permissions and decisions must stay with the enterprise. The goal is not to stop renting technology. It is to stop renting the value that technology helps create.

Figure 1. Rent what commoditises; own what compounds

  Owned attention Owned intelligence
What is owned The relationship: direct reach, engagement history, the habit of returning Control: permissions, organisational memory, rules for action, model portability
What is not The customer’s attention, which is earned every time The foundation model, which can be bought or replaced
What compounds Each interaction makes the next more relevant Each completed commitment improves the next follow-through
What can be rented Reach for new demand Models, compute and much of the software around them

4

 The first asset: owned attention

Brand email has four jobs: Sell, Notify, Deepen and Recover. Most brands have built the first two thoroughly, in offers and confirmations. Few have built anything for the time between transactions, when there is nothing to sell and nothing to confirm. So attention decays. Opens slide, the engaged base shrinks to a fraction of the list, and the dormant majority becomes reachable only through paid media. The brand pays twice for the same customer. As I argued in Before the Slide, customer retention begins with attention retention.

Deepen keeps active and fading customers coming back through a regular Brand Digest: a short publication built around their interests, with actions they can take inside the email and collectible cards that build into an album over time. Recover brings dormant customers back through a time-boxed programme that earns a verified human action before anything else is attempted, as I described in The Dormant Goldmine. And when a customer has gone quiet on the brand’s own channel, a permissioned route through another trusted brand’s audience can come before the auction, the idea behind CRM Ads: Your Customer, Someone Else’s Attention.

Owned attention is a relationship the brand can keep strengthening, at a marginal cost far below paid reach. Each interaction leaves a trace that makes the next one more relevant. Paid media does not disappear; it is reserved for demand the brand does not yet have.

5

 The second asset: owned intelligence

Finding work in email is becoming free. This month Google began rolling out Gmail’s AI Inbox to paid Workspace users, initially in US English, surfacing tasks and priority updates from mail. Other suites are adding similar features. Noticing what needs doing is fast becoming part of the bundle.

Noticing is the easy part. Work is lost not where a commitment is made but in what follows: the date that moves, the scope that changes, the reply that sounds like completion but is only acknowledgement. “Thanks, will check” closes nothing. Finding a to-do is an event; keeping a commitment is a continuing obligation. The value is in finishing, not finding.

Figure 2. Finding is bundled; finishing is the job

Consider a private work agent with a proposed price of about $2 a seat a month: a fraction of a premium assistant, and within reach of an emerging-market employer buying for a whole workforce rather than a few senior staff. It would do one job. It keeps a ledger of who owes what to whom and by when, with the source email as evidence. It briefs each employee every morning, drafts follow-ups for approval, and suggests closing an item only when there is evidence of delivery. Code handles dates, states and permissions; the model only reads and writes language.

That price is a hypothesis, not a proven business. Reliability, adoption, support and willingness to pay all need testing, and a twelve-week experiment is the right way to find out. But the design shows what owned intelligence means in practice: the enterprise controls the permissions, the memory and the actions. The model is replaceable. The ledger is not.

6

 The common asset: memory

Set the two assets side by side and the same structure appears. Owned attention runs a loop from interaction to attention, action, outcome and memory, and each interaction makes the next more valuable. Owned intelligence runs a loop from promise to tracking, preparation, fulfilment and memory, and each completed commitment improves the next follow-through. One builds relationship continuity. The other builds work continuity.

Figure 3. Two loops, one compounding asset

The asset that compounds in both is a trustworthy memory of what happened, what should happen next, and whether it did. It is the idea I explored in The Living Email That Remembers: a campaign reads from the past, while a learning system reads and writes. In NeoMarketing’s vocabulary this memory lives in context graphs, of customers, of products, and of decisions and their outcomes.

Trustworthy is the hard word. Memory needs provenance, so every entry traces to a source; currency, so obsolete obligations are retired; permissions, so one person’s record does not become everyone’s; and correction, so mistakes improve the system instead of hardening into policy. A memory that records an acknowledgement as a delivery, or a customer’s due date as a promise, is worse than none. And accumulation alone is not a moat. Memory earns its value only by improving the next decision.

7

Where the two meet: the customer’s promise

The two assets meet at a point marketing and operations both know well: the promise a customer makes to a brand.

Customers make such promises all the time. To renew a policy next week. To pay an instalment before it falls due. To upload documents tomorrow. Collections teams even have a name for one of them: the promise to pay. Most brands treat these as dates in a reminder calendar. Few remember the promise itself, notice when it changes, or check whether it was kept.

Consider a customer who replies to a renewal notice: “I’ll renew next Friday.” The follow-through engine records the commitment and its source. On Thursday it prepares a reminder on the brand’s own channel: an email in which the customer can confirm intent and move to payment through a secure hand-off. If the customer replies that they need another week, the engine updates their stated intention. It does not move the policy’s expiry date, and it does not suppress reminders the brand is required to send. On Saturday it checks whether the renewal happened, and it never counts an open or a click as a renewal.

Then comes the proof. Eligible customers are randomly assigned either to commitment-aware follow-through or to the brand’s usual reminders. The difference between the two groups’ renewal rates, applied to the eligible base and reported with its margin of error, is the incremental result. Without meaningful lift, the ledger is an expense.

Figure 4. From declared intent to completed action, measured against a control

Good CRM already sends renewal reminders. The difference is a commitment tracked through changing circumstances, backed by evidence, and proved incremental against those reminders.

One engine can serve both employees and customers, but the records must stay apart. An employee’s ledger records who promised what and whether it was done, and it belongs to the employee. A customer ledger records which customer was eligible, what the brand did, what followed and how much of it was incremental, and it is governed by the brand. A customer can renew without having promised anything; an employee can keep a promise that moves no revenue. In banking and insurance the distinction is sharper still: a payment due is not a promise to pay, and consent to a transaction reminder is not consent to marketing. Those lines belong in the engine’s rules, not in a model’s judgement. Share the engine; never share the ledger.

8

Paying for what is built

Rent has a simple price: a fee for access. An asset needs a different logic, because the point of an asset is what it produces.

The principle that travels across both is measurement. Every claim of value is tested against a randomised control group that receives the current best effort, never against last year’s numbers or a vendor’s attribution report. NeoMarketing calls the result Alpha: the uplift above an agreed baseline.

How that value is priced depends on how clean the outcome is. A renewal has a state, a deadline, a value and a verifiable result, so a brand can pay on the agreed incremental value above the control and nothing on renewals that would have happened anyway. An employee’s follow-through is diffuse: fewer missed commitments, faster replies, less chasing. There a flat price per seat is the honest arrangement, even when a control group confirms the benefit. Measure everything against a control; price on outcomes only where outcomes can be priced.

Owned inference can make emerging-market pricing workable for frequent, narrow tasks, because the variable cost is predictable and paid in rupees. But it is not automatically cheaper. The comparison that matters is total cost per completed outcome: compute, integration, supervision, security and support. A $2 licence with an invisible installation bill is not a $2 solution. Netcore learned a version of this in email over two decades: own the infrastructure that is cost-critical, rent the rest, and price for the market you serve.

9

How this could be wrong

The argument fails in six specific ways, and each has a signal that would show it early.

Failure What it would mean What would show it
Bundled AI closes the loop Owned intelligence collapses into cheap private AI, and price is its only advantage Mainstream suites track changing commitments to verified completion, in Indian languages, at no extra cost
Attention cannot be held Digests and cards decay like campaigns, and owned attention becomes just another send Engaged reach and click retention fall against a control over a full quarter
Memory does not move outcomes The ledger is record-keeping, not an asset Follow-through fails to beat the brand’s ordinary reminders on completed renewals
Buyers prefer convenience to control Enterprises accept rented attention and intelligence at any price gap Pilots succeed, yet budgets stay with platforms and bundled suites
Consent fragments memory Purpose and consent rules split data so finely that nothing compounds A narrow, consent-safe memory still cannot show value
Ownership costs more than it saves Private models and recurring audiences cost more to run than the rent they replace Total cost per completed outcome stays above the rented alternative

If memory does not change outcomes, ownership is only an expensive way to rent. Every one of these tests can be run within a quarter.

10

What to do on Monday

The shift does not start with a platform. It starts with five decisions.

  1. Measure the rent. For attention: what share of revenue comes from customers re-bought through paid media? For intelligence: what do you spend on AI per completed job, including the people who review and correct it, and where does the context it builds live?
  2. Pick one promise. Renewals are the cleanest place to start: a clear state, a deadline, a value and a final outcome.
  3. Insist on a control group from the first week. Agree in advance who is eligible, what consent permits and what the current reminders achieve. Without a control, every result is a story.
  4. Build the ledger before the platform. Build the smallest evidence-linked ledger that keeps the state faithfully. Do not build a universal knowledge graph because the phrase sounds strategic.
  5. Keep the records apart. Customer data under the brand’s governance; employee data under the employee’s control.

There is no virtue in replacing a vendor bill with an internal cost centre of the same size. The objective is not independence for its own sake. It is to make the enterprise’s most important relationships and routines less fragile, less expensive and more valuable each time they are used.

The first digital era made enterprises dependent on platforms for attention. The AI era risks making them dependent on platforms for intelligence. Enterprises may rent their models, their compute and some of their reach. But the relationships, memory, permissions and decisions that compound with use must remain theirs.

The first age of software rented capability. The next will be defined by who keeps the memory of what that capability accomplished.

Thinks 2136

Hugo Bowne-Anderson and Eleanor Berger: “The defining combination is autonomous and asynchronous execution. Autonomous: the agent chooses and carries out steps towards an agreed goal. It can inspect what happened, adjust its approach and continue within its authority. Asynchronous: that work can proceed without your ongoing attention. You can leave and return to its result. A scheduled job can run without you. A coding agent can choose and revise an approach during an interactive session. A factory combines those capabilities, with enough context, tools and feedback to carry out the delegated work. Software factories have been hypothesized for decades. Now that we have agents, we’re actually able to operate them. The principles apply to software work traditionally carried out by teams of humans, from bespoke tools for teams and individuals to large and complex software systems.”

Kelsey Piper: “The labs intend to automate the AI development process with AI, which will mean faster and faster progress and necessarily less and less human oversight. If all goes according to schedule, humans will play a rapidly shrinking role in AI development over the next two years, as both OpenAI and Anthropic try to put as much R&D as possible into the hands of their increasingly capable (and increasingly incomprehensible) AI.” [via Arnold Kling]

Arvind Narayanan: “Intelligence isn’t Power.”

Mint: “From first sale to ₹100 crore: The new playbooks building consumer brands in India”

Bloomberg: “A group of former employees from some of the fastest-growing artificial intelligence firms, including Ramp and Cognition AI Inc., are starting a new company to create AI agents that can help run a business, joining a crowded field of services using the technology to streamline work…“What we are doing is building AI that owns outcomes,” said Moritz Stephan, chief executive officer of Hone and a former chief of staff at AI coding startup Cognition. Hone’s technology is meant to “look at what a team does, its goals and responsibilities, and deploy engines to own these,” while checking in with a human as needed. A growing number of companies are selling AI software to businesses that promise to automate complex work, including in coding and customer service. Hone’s ambition is to use AI to have a broader impact on productivity and business operations.”

Every Business Has a Strait

Why profits pool at choke points, why brands pay a toll to reach customers they already have, and how to dig the canal instead

“A wealth of information creates a poverty of attention.” – Herbert Simon, 1971

1

One season, two lessons

In the space of a few months in 2026, the Strait of Hormuz taught the world most of what there is to know about choke points.

The strait is a narrow passage between Iran and Oman, and around a fifth of the world’s seaborne oil and gas trade moves through it. When conflict broke out in late February, nobody seized the oil and nobody owned the ships. The passage itself became the problem. By early April, only about 5% of pre-war shipping volume was getting through.

Then came the second lesson. The world had treated the strait as an international waterway and had never paid to cross it. Over the summer came proposals to charge. Iran sought fees of five to seven per cent of cargo value, Oman discussed around three per cent, and Washington wanted none at all. As I write, in mid-October 2026, they remain contested proposals rather than settled tariffs, and ships are again being attacked in and around the strait. But the instinct behind them is as old as trade. Whoever holds a narrow passage is tempted to do one of two things with it: close it, or charge for it.

Every consumer business has lived through both. A platform changes its algorithm and traffic halves overnight: the strait closes for a day. Auction prices rise year after year: the strait charges. The passage between a business and its customers runs through someone else’s water, and the keeper of that water decides when it opens and what it costs.

This essay is about that passage. It makes four arguments. Profits pool at choke points. For consumer brands, the tightest choke point is access to attention. Brands pay its toll twice: once to win a customer, and again to reach the same customer. That round-trip toll is the hidden tax at the centre of modern marketing, and the heart of this essay. And the economics are turning: for a growing number of businesses, digging a canal around the strait is becoming cheaper than paying to cross it.

2

The geography of profit

A choke point is a narrow passage in a valuable flow, where the alternatives cost enough that the passage acquires power out of all proportion to its size. Five properties decide how much power:

  • A large, valuable volume must pass through.
  • Few viable routes exist.
  • Bypass cost. Going around is expensive, slow or inferior.
  • Value capture. The keeper can earn from what passes.
  • The flow stays, rather than finding another way.

Hormuz scores high on the first three. Its weakness, until this year, was the fourth: it conferred leverage, not revenue. The comparison that matters is with a passage that was built.

The Suez Canal opened in 1869. It was cut through desert to create something geography had not provided: a short route between Europe and Asia that spared ships the long voyage round the Cape of Good Hope. It has charged every ship that uses it for more than 150 years, and ships keep choosing it. Its pricing explains why. The Suez Canal Authority weighs the savings a ship achieves by using the canal against the alternative routes, alongside factors such as vessel type and freight rates, and when market conditions make the canal less competitive, it offers rebates of up to 75%.

The strait charges for the obstruction. The canal charges for the shortcut. One is resented and resisted; the other is chosen, ship by ship. The resistance to the Hormuz proposals shows the difference. The United States sanctioned the authority set up to run the waterway, and insurance wording now bars cover for shipowners who pay. Even the proponents avoid the word toll: Oman’s proposal is modelled on the Strait of Malacca, where a foundation collects voluntary contributions for navigation safety. A charge is accepted only when it pays for a service.

Figure 1. The strait and the canal. Both sit on valuable flows; only one is chosen.

The same geography shapes corporate profits. Others have mapped it well: Chris Miller on semiconductors, Henry Farrell and Abraham Newman on the networks of global finance, Ben Thompson on the aggregators that control digital demand. I will not repeat their work. One table is enough to show the pattern.

Choke point What flows through it Its position today
ASML Machines for the most advanced chips The sole supplier of EUV lithography systems
Nvidia AI compute Strong, while its largest customers design their own chips to go around it
Windows PC software Once universal; bypassed by the web and the phone
Google Search Intent Ruled an unlawful monopoly by a US court in 2024; now being rerouted by AI answers
Apple App Store Apps and payments Its commission under regulatory assault in Europe and the United States
Visa Payments Durable: a chosen network whose fee is small relative to what it moves; in India, UPI built a public alternative

Durable choke points are chosen networks whose fee is small relative to the value they move. Imposed tolls invite bypasses and regulators. Choke points need not be physical either. A machine, an operating system, a default setting, a protocol or a network can each become one.

3

The strait moves

In 1971 Herbert Simon made the observation that frames everything in this essay: a wealth of information creates a poverty of attention. Half a century later, AI is multiplying the wealth. It writes copy, generates images, builds software and personalises offers at almost no marginal cost. It cannot manufacture a single extra hour of human attention. So it deepens the poverty.

Clayton Christensen described what happens next. In The Innovator’s Solution he argued that when one layer of an industry becomes abundant and interchangeable, profits migrate to the adjacent layer that stays scarce. In consumer commerce, products, content and software are becoming abundant. What stays scarce is the moment a person chooses to look. Profit is migrating to whoever governs that moment.

None of this is new. What is striking is how often the strait moves. Across the last century, the passage between brands and buyers has shifted again and again: from the retailer’s shelf, to the publisher’s page and the broadcaster’s airtime, to the search box, the social feed, the app store and the marketplace. Today it is shifting once more, to the AI agent that will increasingly read, sort and act on a person’s behalf.

Figure 2. A century of straits. The passage between brands and buyers keeps moving.

In every era, brands rented the strait, and in every era its keeper became a Profipoly, my word for a business that captures an outsized and lasting share of an industry’s profits. Retailers charged for shelf space. Broadcasters sold airtime. Search engines auctioned intent, feeds auctioned attention, and marketplaces charged commissions and then sold advertising on top. Tim Wu’s The Attention Merchants tells the story of how attention was harvested. This essay is about who paid for it.

Straits also erode. Windows looked permanent until computing moved to the browser and the phone. Search looked permanent until AI began answering questions directly. Even Hormuz has pipelines running round it. A strait is a position in a flow, and flows move. That is the first reason for hope, and the first warning to anyone who would build a new one.

4

The round-trip toll

Picture a manufacturer that pays a canal to ship its goods to a customer, and then pays the canal again every time it wants to deliver to the same customer, even though it holds the customer’s address. Nobody would design a trade route that way. Consumer brands run their growth that way.

The first toll is fair. A brand that wants to be discovered by strangers has to go where strangers are: search, social, marketplaces. That is acquisition, and paying for it is the cost of being found.

The second toll is the strange one. The customer buys. The brand now has an email address, a phone number, perhaps an app install, a purchase history and permission to make contact. Months later, the customer drifts. To bring them back, the brand returns to the same platforms and bids again, often against its own competitors, to reach a person whose name it already knows. Then it does it again. Retargeting, reactivation and reacquisition are the polite names for this.

The keepers of the strait document it themselves. Google’s guide to Customer Match invites advertisers to upload their own customer data, and lists re-activating dormant customers among its uses. Nothing in that is improper, and some paid re-engagement earns its keep. The absurdity begins when buying back customers you already know becomes the default operating system rather than the exception.

Brands are the only travellers who pay a toll to bring their own customers home.

Figure 3. The round-trip toll. The brand pays the strait again and again, while its own route sits idle.

The toll is booked as a marketing expense, and its value expires with the interaction. Next quarter it is paid again. Worse, it is often counted as growth: a customer bought back from a platform appears on the dashboard as a customer acquired. The questions are simple. What share of the revenue you call new comes from people who were already yours? What share of your customers reach you only through someone else’s strait? I track the answer with a measure I call REACQ%: the share of customers bought back through paid channels instead of kept through direct relationships. It is a warning light, not a verdict; proving waste means comparing incremental outcomes and fully loaded costs across routes. In my writing on NeoMarketing I have reduced the remedy to a principle: Never Pay Twice.

Meanwhile the owned route sits idle. The email address, the app, the order history: each is a direct line that bypasses the strait. Brands collected these lines carefully and then used them as pipes for receipts, notifications and discount codes, not as places a customer might want to return to. The attention was never built, so it is rented back.

5

The lost canals

Owned attention sounds like a new idea. It is an old one that brands abandoned. A century ago, some of the most successful companies in the world dug canals.

The Michelin Guide, 1900. When the Michelin brothers published their first guide, France had fewer than 3,000 cars on its roads, and they gave away nearly 35,000 copies. The guide told motorists where to refuel, repair and eat. Its purpose was to make people drive more and wear out more tyres. It stayed free until 1920. A tyre company built a reason to travel, and its stars became a lasting, collectable status that has outlived every tyre Michelin sold that year.

The Furrow, 1895. John Deere’s magazine wrote about farming, not tractors. Its circulation passed four million by 1912, and it is still published. Farmers kept it because it served them, which is why it served John Deere.

The Sears catalogue, 1888. Sears began in 1888 with a mail-order catalogue of watches and jewellery, and grew it into a general catalogue that, as the Big Book, was awaited each year by millions and brought the wider world into the isolated homes of rural America. Its Christmas edition, the Wish Book, followed in 1933. It was owned push, delivered by post, and it was kept: browsed for months, passed around, dreamt over. Sears did not pay anyone to reach those homes again. The catalogue was already on the shelf.

S&H Green Stamps, 1896. Merchants gave shoppers stamps with each purchase. Shoppers pasted them into books and redeemed full books for goods from a catalogue. At its 1960s peak, the S&H catalogue was touted as the largest publication in the United States, and the company claimed that three out of four American households collected the stamps. It was one book with many merchants: a cooperative attention currency, with an album.

Figure 4. The lost canals. Brands once built owned attention at scale.

Why did brands stop digging? Because renting got cheaper. Radio, then television, then digital advertising offered reach that was larger, faster and, eventually, measurable to the click. Owned canals needed editors, printers and postage. For most of the twentieth century and all of the digital era, renting won the make-versus-rent decision, and brands forgot they had ever built anything.

The lost canals also carry warnings. Green Stamps did not fade for a single reason. The great inflation of the 1970s turned shoppers’ attention to the lowest price, which undermined the stamps’ business model. Many supermarkets, squeezed by the energy crisis, began advertising lower prices instead of issuing stamps. The rewards themselves lost value, so collectors needed far more stamps for anything worthwhile. S&H went into decline and was sold in 1981. A shared currency survives only while it leaves both the shopper and the merchant better off. Half a century later, American Express tried a cross-brand programme called Plenti. It shut in 2018, and most members had bought from only one or two partner brands, which defeated the point of a coalition. A cooperative canal works only if people cross between the brands on it.

6

The Coase crossover

In 1937 Ronald Coase asked a question that would later win him a Nobel Prize: why do firms exist at all? His answer was that firms organise production internally when using the market costs more. Every firm draws its boundary where making and buying cost the same.

Attention has a boundary too. A brand can make attention, by giving customers reasons to return to its own channels, or rent it, by buying access through someone else’s strait. For a century the answer was obvious. Renting was cheap and scalable; making was expensive and slow. Both sides of that equation have now moved.

  • Renting is getting dearer. Every competitor bids for the same customers in the same auctions, so the price of reaching them rises. AI answers are eroding organic reach in search. Messaging platforms charge per message, and their prices rise. Platform rules change without notice.
  • Making is getting cheaper. AI brings the cost of producing a daily, personal, interactive edition close to zero. Email is an open protocol with no per-message toll. Interactive formats let customers act inside the message instead of clicking out of it.

The make-versus-rent equation for customer attention is being rewritten. For businesses able to build a voluntary habit, the crossover has arrived. For the rest, the race is to make it happen.

Figure 5. The Coase crossover as a scenario. Each business crosses at its own point.

One caution belongs here rather than at the end. An open protocol is not an open inbox. Email offers an open and inexpensive route to the customer, but the inbox is controlled by its provider and attention is controlled by the person. A durable attention asset must therefore outlive the message that first created it: progress, collections and relationships that persist after the email has been read.

The crossover also needs a boundary and a test. Making attention is not free. Relevance, editorial judgement, deliverability and trust all cost money, and the cost of a generic paragraph falling to zero says nothing about the cost of something worth a person’s time. The claim applies to repeat-purchase consumer businesses and to customers the brand already has; discovering strangers still runs through rented straits, and should. A business sustained by patents, contracts or switching costs may not need daily attention at all. The test is concrete: compare the fully loaded cost per incrementally re-engaged customer on each route, measured against a control group. For retailers, consumer brands, publishers, financial services and travel, any business whose profits depend on the second, third and tenth purchase, that comparison is now worth running. The crossover turns a structural threat into a choice.

7

Leverage, toll, fee, dividend

There are four ways to take value from a route, and what separates them is who keeps the value.

Figure 6. Four economics of a route. Value moves from the keeper to the traveller.

  • Leverage is what Hormuz offered until 2026: the power to disrupt, with no revenue attached.
  • A toll is a compulsory charge set by the keeper. The traveller pays because there is no other way through. The proposed Hormuz fees are tolls. So is the auction a brand must enter to reach its own customers.
  • A fee is the price of a chosen shortcut. Suez and Visa charge fees. They are priced on the savings they create, and the traveller can always take the long way round.
  • A dividend is what the traveller earns when it owns the route. Nobody else sets the price, and the returns accrue to the owner.

Marketing has lived almost entirely in the toll column. I call it the attention toll: pay for reach, receive a temporary chance to be noticed, pay again next time. The alternative is an attention dividend.

  Attention toll Attention dividend
What you pay for Reach Usefulness, habit and persistence
What happens to the value It expires after the interaction It accumulates across interactions
Next time Pay again Each return makes the next more likely
In the accounts An expense Behaves like an asset
Who sets the price The keeper of the strait The brand

The asset is not the customer’s time. Nobody can own that. It is the recurring, permissioned relationship and the customer’s accumulated reasons to return: a daily edition they look forward to, a collection they are completing, a record of progress they would lose by leaving. I call this asset Owned Attention. Its operating measure is Real Reach: the share of known customers who have meaningfully engaged in the past ninety days, counted through actions rather than opens, which mailbox privacy features now inflate. Real Reach reveals the productive audience hidden behind the vanity of list size.

Put simply: rented attention is an auction; owned attention has no auction. Nobody bids against you for a place in a relationship you built.

8

One brand builds a pipeline; only a network digs a canal

There is a catch, and it comes from inside the argument. If every brand builds its own daily attention surface, a customer with relationships across forty brands receives forty daily emails. The first few brands gain. The rest recreate the overload they set out to escape. Human attention is fixed, and owned attention built brand by brand runs into a fallacy of composition.

The Gulf producers faced a version of this problem with Hormuz. They built pipelines around the strait, and the pipelines help. But a pipeline serves one shipper and carries a fraction of the flow. One brand can build a pipeline around the strait. Only a network can dig a canal.

A cooperative canal is a shared route to which many brands contribute and which each one makes more valuable. On the consumer side, it looks like the Green Stamps book rebuilt for the digital age: one album, many issuers, where a person’s collection, progress and rewards grow because the album spans brands. On the commercial side, it is a network through which a brand can reach a customer it cannot reach directly, on the trusted surface of another brand or publisher that customer still pays attention to.

Figure 7. The cooperative canal has two layers: an album the person controls, and permissioned routing paid on outcomes.

A shared album is necessary, but it is not enough. Consolidating what people keep is not the same as consolidating what they receive. Forty issuers in one album can still mean forty emails a day. The network has to make attention itself more efficient. People choose which issuers they follow and how often they hear from them, and can take one optional curated edition that brings several issuers together with updates from their own collection, instead of forty separate demands to open.

The commercial layer has its own condition. Reaching a customer through another brand’s or publisher’s relationship must rest on authorised, privacy-preserving matching. Possessing an email address is not permission.

History supplies the design rules:

  • The album must be better because it spans brands. Plenti failed because members never crossed between partners.
  • Both sides must stay better off. Green Stamps faded once a price cut was worth more to shoppers, and cost merchants less, than a stamp.
  • Brands keep their customer relationships. The canal carries the traffic; it does not take ownership of the cargo.
  • People control their collections and their attention. Participation is chosen, and leaving is possible.
  • The operator earns on service, not on access. The moment it charges for passage, it has become a strait.

The order of travel follows: owned first, cooperative second, rented last. A brand reaches a customer through its own channels where it can, through a trusted partner’s where it cannot, and through the auction only when both fail.

9  Agent-proof attention

The strait is moving again. Personal AI agents will increasingly stand between people and their inboxes, feeds and shopping. They will summarise, compare, renew and buy. In an earlier essay, The Inbox Has Two Readers, I described this as the inbox gaining a second reader: the agent, alongside the person.

The agent will absorb most functional attention. A renewal notice, a price comparison, a delivery update or a routine reorder no longer needs a human to look at it. Any brand whose relationship consists of functional messages will find its attention intercepted, summarised and acted on without a person ever seeing its name.

But agents can’t be fans. Some things lose their point the moment they are delegated: completing a collection, playing a game, discovering something new, belonging to a group. Nobody asks an agent to finish their collection, any more than they ask it to watch a match for them. Attention given for its own sake is agent-proof.

Figure 8. Two readers. The agent takes the functional; the person keeps what is chosen for its own sake.

So brands need two capabilities. For the agent, machine access: structured, trusted, actionable messages that an agent can read and act on with the customer’s permission. For the person, experiences chosen for their own sake. The battle to own the consumer’s agent belongs to the largest technology companies in the world. Brands should not fight it. They should become the counterparty that agents trust and the experience that people choose.

10  How to dig a canal

Building a canal does not require a monopoly. Suez has competitors: the Cape route, rail and air freight. It earns because it is the better route for most ships, most of the time. A canal is built in four stages.

Figure 9. Four stages of a canal. The fourth is a Profipoly, reached without forbidding other routes.

  • A cheaper route. Comparable results at lower cost than renting.
  • A better route. Results the alternatives cannot match: customers reached who were otherwise lost, actions completed that would otherwise stall.
  • A compounding route. Each new brand, publisher and participant makes the route more valuable for everyone already on it.
  • A structurally advantaged network. The combination of cost, accumulated consumer value, network density and outcome intelligence becomes hard to copy, and returns stay high.

Suez also supplies the pricing rule. Earn a share of the advantage you create, leave the traveller better off, and cut your price when you are not the better route. In marketing, the operator should earn a performance carry only on verified incremental value above a pre-agreed baseline, measured against a control group. No lift, no carry. The ceiling is set by the traveller’s real alternative, which is not always an advertising auction. For recovering a lapsed buyer, it is the cost of reacquiring them through paid media; for completing a stalled renewal or verification, it is the profit the brand would otherwise forgo. A canal priced this way does not need defending. Its customers defend it.

The danger comes later. Every successful route eventually tempts its keeper to become a strait: to raise prices because leaving is hard, to obstruct the alternatives, to charge for passage rather than for the shortcut. Hormuz in 2026 shows how that ends: sanctions, insurance barriers, coalitions of the unwilling and pipelines round the edge.

Charge for the shortcut, never for the obstruction.

11

How this thesis could fail

A thesis that cannot fail is not worth holding. This one rests on three separate claims, and each has its own kill condition. They fail independently: a network that never forms would not invalidate a profitable direct route, while a habit that never forms would invalidate almost everything.

  • The attention claim fails if meaningful return does not persist once the novelty fades and without ever-larger incentives. Then there is no asset, only a new kind of message.
  • The economics claim fails if the fully loaded direct route cannot beat the rented route on incremental contribution per customer, measured against control groups.
  • The network claim fails if adding issuers and participants creates no measurable extra value for consumers or brands. Then the canal is merely a coalition, and coalitions have a poor record.

Three threats could move the crossover even if all three claims hold:

  • The open lane narrows. Mailbox providers or AI agents could turn the inbox into a pay-to-be-seen space, and email’s gate would become a toll.
  • The incumbents cut their tolls. This is the most likely response. Platforms can lower the price of reaching existing customers to keep brands in the auction. The strongest answer to a new canal is a cheaper bridge built by the incumbent.
  • The canal operator turns into a strait. If whoever runs the network starts charging for access rather than results, brands will build around it, as they should.

Each of these is observable within a few years, and each deserves closer watching than any argument in this essay.

12

The Strait Audit

Every business has a strait. Most have never named theirs. Three questions do it:

  • What is your strait? The passage through which most of your growth flows today.
  • What is your round-trip toll? What you pay to reach customers you already have.
  • What would your canal be? The route you could build, alone or with others, that makes the toll unnecessary.

Then apply the five properties twice, because they measure two different things. For today’s strait, a high score means exposure: much of your growth passes through it, you have few alternatives and leaving would be costly. For the canal you could build, a high score means defensibility: a rival would find it hard to copy.

Figure 10. The Strait Audit. One column measures exposure, the other defensibility.

The reading is direct. High exposure and a weak canal is the most dangerous position, and the one most consumer businesses occupy today. High exposure and a strong canal is an opportunity waiting for investment. Low exposure means the strait is not yet your problem. Check again next year, because straits move.

Herbert Simon saw the scarcity half a century ago. AI has made it acute: as the supply of content becomes limitless, the passage to a person’s attention becomes the most valuable water in the economy. The keepers of today’s straits know it, and they will charge accordingly.

Every business has a strait. You can keep paying to cross it, or you can dig the canal.

Thinks 2135

ET: “Menlo Ventures, which first backed Anthropic in 2023 when the company was pre-product and pre-revenue, said a slowdown in frontier model development will not significantly affect foundation model companies or the overall market. Partner Matt Murphy, who led Menlo’s investments in Anthropic, called the slowdown “a bit of a red herring,” saying compute, not intelligence, is the real constraint.”

Michael Magoon: “The average American taxpayer moves from roughly the 20th percentile of the income distribution at ages 18–25 to the 75th percentile at ages 55–64, simply as they move through the normal life cycle.” [via Arnold Kling]

Andrew Chen: “We are seeing a new wave of general purpose consumer-friendly agents, and it’s causing many thousands of AI startups to re-evaluate their place in the market. Some questions: Will these new horizontal players take over completely? Will it be winner take all? Can products that focus vertical use cases survive? The new wave of products – Muse, Town, Instinct, Grokbot, etc – come from taking the power and magic of Openclaw/Hermes but wrapping it in polished, secure, consumer-friendly experience. This is only the beginning, and soon every major tech company will throw their hat in the ring and thousands of startups that have been working on vertical agents in X (travel, shopping, family, work, SMB, etc etc) have big existential questions to answer. The simple case against winner-take-all dynamics: These agents are tools, not networks. They inherently provide a solo experience, and although packaged as chat experiences, they don’t have network effects the way that Whatsapp or phone networks do.”

NYTimes: “Microdramas, sometimes called “verticals,” are TV shows for your phone. They are typically described as soap operas for Gen Z: hypersexual, over the top and — most important — short, with episodes rarely exceeding two minutes in length. The format was born around 2018 in China, where its revenue now exceeds that of the conventional film industry. America is lagging behind, but it is putting in the work…The form is on track to take in $1.5 billion in revenue in the United States by the end of the year.”

BCG newsletter on China’s next five years: “Beijing knows where it wants to go. But the journey won’t be simple. The government aims to lift consumption through wage growth and expanded social benefits in health care, childcare, and eldercare, and by focusing on health, wellness, and leisure services for an aging population. It is also moving against industrial overcapacity, though provincial leaders—judged on local GDP growth and job creation—sometimes continue to add factories. And it’s making choices about which high-value industries to double down on, while opening further to foreign investment and deepening trade and investment ties across the Global South.”

The Dormant Goldmine (Part 7)

VII

What Would Prove This Wrong, and What Follows

11   Five kill conditions

The crux is whether one recovered reader generates enough recurring, monetisable attention to pay for bringing them back.

A business thesis that cannot be wrong is not worth much. This one can be wrong in five specific ways, and each can be tested within ninety days on a handful of brands.

It fails if verified recovery against the holdout is close to zero. If the dormant customers who take an action are the ones who would have come back anyway, the operator is claiming credit for natural return, and the brand will eventually notice.

It fails if Habit Rate collapses after Recover. A reader who answers one Magnet and never returns is a reactivation statistic, not an audience. The model needs graduates who keep reading.

It fails if net yield cannot cover editorial and delivery costs, even at portfolio scale. If advertisers will not pay meaningfully for actions inside restored relationships, the attention meter cannot fund the factory, and the model survives only as a recovery service paid on transaction lift.

It fails if complaint rates threaten sender reputation. A model that endangers the brand’s main domain will be switched off, and should be.

And it fails if the marginal cost of each additional brand does not fall. Without that, the operator has built an agency with a media story, not a factory, and the Bending Spoons comparison is decoration.

The ninety-day test is designed around these conditions, with every threshold set before the first message is sent. A handful of brands, chosen for permission, recoverability, advertiser demand and Digest fit. A randomised holdout in each. A time-boxed Recover sequence, followed by a reader-chosen Standard Digest. A test of whether a single, contextually relevant partner action inside Recover helps or harms reactivation, judged on complaints, verified recovery and later habit. And a gate at day ninety that scales the programme only if recovery, habit, yield, complaint rates and contribution all clear their thresholds. I would also watch whether readers keep and revisit their cards, as an early sign of the consumer opportunity, without mistaking it for revenue.

12   From databases to audiences

The next great media businesses may not begin by acquiring audiences. They may begin by restoring attention to the audiences brands have already paid for.

If the factory works, it does not stay a factory. A hundred operated audiences become a network. Advertisers that buy actions in one Digest can buy across a category. A dormant customer of one brand, unreachable in its own emails, may be an active reader of another brand’s Digest, where a one-tap invitation can bring them back. I described the shape of this network in Inbox Media Network: How the Next Ad Category Has Been Hiding in Plain Sight. What this essay adds is the operating model: who runs the inventory, on what terms, and why only a portfolio can afford to.

The consumer side can compound too. A reader who collects cards from one brand may, by their own choice, carry them into an album shared across several. That album could become a reason to open email that belongs to no single brand, and an asset that grows with every issuer. It must rest on explicit opt-in, and it cannot be funded indefinitely by a loss-making business-to-business operation. Its economics have to stand on their own.

Inside NeoMarketing, this is Atrium’s operating model: a portfolio operator of dormant audiences, with Progency providing the transaction meter. It does not need a new name. It needs the factory built and the ninety-day test run.

The old email industry was paid to send. The next one may be paid to bring customers back, and to keep them coming back. The dormant half of every database is the largest pool of known, permissioned and idle attention in marketing. It has sat idle not because it was worthless, but because no single brand could afford to operate it. A shared factory can.

Don’t buy the database. Build the factory that makes operating the next one cheaper than the last.

Thinks 2134

Ninan: “Two scenarios are now possible. If the AI investment bubble bursts, there will be a global tsunami, since the US stock market accounts for more than two-thirds of global market capitalisation. If not, and the borrowing binge by governments and companies continues, there will be unprecedented competition for capital, leading to possibly higher inflation and/or restrictions on cross-country capital flows. It makes sense, therefore, to shore up reserves, increase economic security by reducing the budget deficit and government debt, and make the country more attractive to investors. The additional reserves can be used to fight currency volatility, and to fund any capital outflows. They can also be used to boost confidence in the economy’s external solvency at a time when no one knows how exactly the cards will fall.”

WSJ: “[Grip strength is] a measure of the force produced by your forearm and hand muscles. But doctors say it’s a good proxy for overall strength in both your upper and lower body…The median grip strength for a 50-year-old man is about 48 kilograms or 100 pounds, while a woman’s is about 29 kilograms or 64 pounds, studies show.”

Bain: “From 2025 to 2035, AI puts $4.7 trillion in profits at stake—created in new categories, shifted among competitors, or lost entirely by those who move too slowly. That’s more than triple the economic impact of the last great technology disruption—the Internet. And it will happen in half the time.”

NYTimes: “But against these long odds, The Times is still standing. Indeed, not just standing but thriving — heralded as a case study in how to transform a legacy company for a new era. In a period when most news organizations watched their audience and revenue collapse, our company has grown from about one million paying subscribers to more than 13 million. Revenue and profit are also growing steadily, enabling an unprecedented expansion of our newsroom. The stock price — now higher than it was at our pre-internet peak — suggests that investors believe that this old newspaper’s best years are still to come. And, yes, we own our headquarters again. Which raises the question: How on earth did The New York Times, a seemingly ossified institution in a dying industry, survive the most destabilizing period in its history — and emerge stronger?”

Alok Mittal: “Micro, small and medium enterprises (MSMEs) form the backbone of Indian economy, contributing over 30% of gross domestic product (GDP), 45% of exports and employing more than 110 million people. In an increasingly deglobalizing world, they represent India’s core capacity to produce and serve its large, diverse population. Over the past two decades, startups have emerged as a key engine of innovation. Be it breakthroughs in enabling marketplaces, driving efficiency or responding to sovereign technology requirements, startups are increasingly seen as an integral driver of India’s march towards a developed economy.”

The Dormant Goldmine (Part 6)

VI

The Economics, Without the Gloss

10   One brand is a rounding error

The portfolio creates the operating advantage. Yield decides the prize.

It is easy to make this model sound richer than it is. So take an illustrative brand and follow the money.

The brand has two million dormant addresses. After validation and suppression, 1.4 million are eligible for Recover. A four-Mini sequence sends 5.6 million emails. Five per cent of eligible readers take a verified action and graduate: 70,000 readers. Each receives about 13 Digests a month, and a person engages with 35% of those editions, which gives about 318,500 engaged editions a month.

Now the yield. Suppose each engaged edition offers one ActionAd, 1.5% of them are completed, and the average advertiser payout is $0.40 per action. That is $6 of net revenue per 1,000 engaged editions: about $1,900 a month in total, and about $950 a month to each party. At the operator’s own infrastructure cost of around $0.20 per thousand emails, sending is cheap: roughly $1,100 for the whole Recover sequence and under $200 a month for the Digests.

Delivery is cheap. Audience creation is not. Editorial production, card design, data work, brand onboarding, advertising sales, support and measurement all cost more than the sending, and they come before the revenue. The economic test is recovering the whole investment, not the cost of the emails. As a standalone media property, one brand’s dormant half is a rounding error.

Scale changes the picture, but less than intuition suggests. A hundred such brands would hold about seven million graduated readers and produce about $1.15 million a year in advertising revenue for the operator at the same yield. That is a business line, not a company. If net yield reaches $30 per 1,000 engaged editions, which lead-generation categories may support, the same portfolio produces about $5.7 million a year. Yield, not database size, decides which of these futures arrives.

Figure 5. Illustrative. Per brand: 70,000 graduated readers, 13 editions a month, 35% engaged; operator keeps 50% of net ActionAd revenue.

There is a second number in the illustration, and it matters more to the brand. If one in ten of the 70,000 graduated readers buys within ninety days, at an average order of $30, those customers spend $210,000 in a quarter. Not all of that is incremental; the holdout decides how much. But even a modest incremental share is worth more to the brand than a year of its advertising share. That is why the pitch leads with recovered customers, and why the transaction meter may matter more than the attention meter in many categories.

If the hundredth brand costs as much to operate as the first, there is no factory. That is the test the portfolio must pass, and the operator’s equation shows where. It is simple to write. Contribution equals half of net advertising revenue, plus any transaction share, minus delivery, content, operations and the cost of Mu, with the initial recovery investment repaid over the life of a graduated reader. Four numbers show whether it works.

The first is contribution per 1,000 graduated readers per month. It strips out the size of the database and shows whether a restored reader pays for being kept.

The second is recovery cost per graduate: what it costs, including content and sending, to turn one dormant address into one verified reader.

The third is payback: how many months of contribution it takes to recover that cost. A twelve-month operating term works only if payback falls well inside it.

The fourth, and the one that tests the Bending Spoons thesis directly, is marginal contribution per additional brand. If the factory works, each new brand in a category should cost less to onboard, need less new editorial work and reach advertisers who already buy elsewhere in the portfolio. The tenth travel brand should be cheaper to operate than the second.

These numbers also show where the levers are. Recovery rate determines how many readers the factory gets. Habit Rate determines how long it keeps them. Yield determines what each engaged edition earns. Shared production determines what each edition costs. I set out a similar four-lever equation in How Publishers Can 10X Their Revenue; the same logic applies here, with the dormant half as the starting audience.

The choice of brands follows from the levers. The age of dormancy matters less than four other questions: whether the brand holds legitimate permission, whether its dormant customers are plausibly recoverable, whether advertisers want to reach its category, and whether its world naturally produces a recurring Digest and collectible sets. Jobs, travel, lifestyle, entertainment and some retail categories pass all four. Banking, where third-party advertising and reward currencies face regulatory limits, does not, and needs a compliance-first version of the Digest.

Thinks 2133

FT: “The truth is that most white-collar professional roles do not just involve “sitting down at a computer”, from lawyers attending court hearings to project managers going on site visits. Then there are the meetings (internal and external). A recent study of Norwegian workers found that meetings consumed an average of 12 per cent of work hours and 14 per cent of company wage bills. There will be those who say that most meetings are just performative busywork, but if that is the case, it is strange that the most successful companies seem to do more of them. The authors of the Norwegian study found that planning, problem solving, information sharing and project co-ordination accounted for most meeting activity, that high-paying and high-revenue firms devoted more resources to meetings, and that meeting frequency and intensity were positively related to worker wage growth. They concluded that meetings were like broccoli: “widely disliked, but probably good for us anyway”.”

Ben Thompson: “This is the new prize in technology, and it is the ultimate one: not just a platform like Windows, or an Aggregator like Facebook. What Muse and Copilot are making a bid to be is both: the only interface you need for everything, using a computer on your behalf, and generating whatever UI you need when you want it, and doing stuff without you but for you the rest of the time.”

NYTimes: “Being in constant communication can be nice, but it can also create a lot of pressure — on ourselves and others — and a lot of opportunities to be offended when lapses occur. Research reveals that the frequency of interaction does not determine the quality of a relationship. As one viral social media post put it, “true friendship is allowing a certain level of ghosting to go unmentioned.” In fact, time apart can actually bring us closer together.”

FT: “ASML, arguably the most consequential yet low-profile company in the AI ecosystem, employs nearly half the town (population: 47,902) and another 25,000 besides, doing the no-nonsense work of making and marketing the ever-larger machines that churn out ever-smaller computer chips…The secret of this 42-year-old company’s success, Fouquet tells me in a nondescript meeting room at ASML’s headquarters, has been teamwork. “If I had to summarise it, this has been a lot about extreme co-operation with the ecosystem, which is, first, our customers, but also our supply chain,” he explains, portraying ASML as the epitome of the collaborative European company, in stark contrast to a thrusting American one.”

The Dormant Goldmine (Part 5)

V

The New Bargain

8   Operating, not owning

The brand keeps the customer. The operator earns the right to rebuild the attention.

The commercial relationship needs a name that does not alarm a legal team. “Renting the database” is vivid and wrong. It implies that the operator receives the brand’s customers as a third party, to use for its own purposes. A better term is Audience Operating Rights: a contract under which the operator runs the dormant audience for the brand, as the brand’s processor, under defined permissions.

The terms follow from that. The brand remains the data controller and the owner of the relationship. It keeps control of consent, suppression and the right to stop sending at any time. Emails go out under the brand’s name, from isolated sending infrastructure that protects the reputation of its main domain, with volume caps and an automatic pause if complaints rise. The brand approves the advertising categories and can exclude competitors and anything it considers unsuitable.

The operator, in turn, funds the work: the sending, the editorial production, the Magnets and cards, the technology and the operations. Because it invests before it earns, it needs a defined operating term, long enough to recover the cost of rebuilding attention. Twelve months, renewable, is a reasonable starting point, with a fair settlement if the brand ends the arrangement early.

Two lines must not be crossed. Permission to receive a brand’s email is not permission for the operator to profile that customer across brands, or to market its own products to them. And the operator acquires no lasting claim on the brand’s customers. Anything that extends beyond the brand, such as a reader’s choice to carry their cards into a wider album shared with other brands, has to be the reader’s own explicit and separate decision. And no commercial term overrides the reader: an unsubscribe or a withdrawal of consent ends the relationship, whatever the contract says. The bargain works only if the brand never has reason to wonder whose customer it is.

9   Two meters

The brand pays nothing to get its customers back, and pays only when they buy more than the control group did.

The economics of the bargain run on two meters. They are best kept as separate entitlements, so that the front door stays simple.

The first is the attention meter. Recovery is free. Sending is ZeroCPM: the brand pays nothing per email. Once readers have graduated to the Standard Digest, each edition can carry one clearly labelled ActionAd: a partner action completed inside the email, such as a sign-up, a quote, a sample or a booking. Net ActionAd revenue, meaning gross advertiser payments less third-party fees and refunds, is split 50:50 between the brand and the operator. The operator pays its costs from its own half, so the brand’s half needs no reconciliation of anyone’s internal costs.

The second is the transaction meter, contracted separately and optional. When restored attention leads to purchases, the holdout shows how many of them are incremental. The operator can then be paid a share of the lift above the control group, never of the baseline, on an agreed economic basis such as contribution profit. In NeoMarketing’s terms, the baseline is Beta, the verified improvement is Alpha, and the operator’s agreed share of it is Carry. No lift, no bill. This is the model I described in No Lift, No Bill: How Progency Works.

Figure 4. One customer journey, two commercial meters.

The order matters in the sales conversation. A brand’s first reason to agree is recovered customers at no charge. The advertising share is a second benefit and an alignment mechanism: the operator earns only when the attention it restores is valuable to someone. The transaction meter can follow once the holdout has produced evidence.

The two meters also keep apart two claims that are easy to blur. Recovered attention is one claim: a reader who was silent now acts. Avoided reacquisition is another: the brand did not have to buy that customer back through paid media. The holdout proves the first as soon as readers graduate. The second is proven only when recovered customers go on to buy through the brand’s own channels at a higher rate than the control group, and the brand’s REACQ%, the share of its customers re-bought from paid channels, falls. A customer who answers a Magnet has not yet saved the brand anything. The operator should claim the first when it happens, and the second only when the evidence arrives.

Together, the two meters restate the Three NEVERs in commercial form. A dormant customer whose attention is restored is a customer the brand did not lose: Never Lose Customers. A customer who goes on to buy through the brand’s own channel, rather than through an ad, is one the brand did not pay Google or Meta to buy back: Never Pay Twice. The arrangement does not end paid acquisition; it changes the order in which a brand spends. And a brand that pays nothing to send, and pays for transactions only on proven lift, has no fixed fee anywhere in the arrangement: Never Pay Fixed.