The Man Who Saw It Coming: Herbert Simon and the Sentence That Explains the Attention Economy

The attention economy is not primarily a marketing problem. It is a decision-making problem. Herbert Simon identified it in 1971, fifty years before the phrase entered the business lexicon, and his diagnosis was aimed squarely at organizations and the people who run them — not at advertisers competing for eyeballs. Founders who read Simon’s sentence as a commentary on social media feeds are missing the sharper, more actionable point: your scarcest resource is not capital, talent, or time — it is the cognitive attention you bring to consequential decisions.

One sentence, written before the internet existed

The concept of attention economics was first theorized by psychologist and economist Herbert A. Simon when he wrote about the scarcity of attention in an information-rich world in 1971. The occasion was a lecture at Johns Hopkins University, later published in a volume edited by Martin Greenberger. The speech was titled “Designing Organizations for an Information-Rich World.” The core argument was compressed into a passage that has since become one of the most cited observations in social science:

“In an information-rich world, the wealth of information means a dearth of something else: a scarcity of whatever it is that information consumes. What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.”

Simon wrote this when broadcast television and the photocopier were the dominant information technologies. The above quote was written before the days of the internet. That the observation has only grown more precise with time is not coincidence — it reflects the quality of the underlying logic. Simon was not describing a cultural trend. He was describing a structural constraint on human cognition that no technology upgrade would dissolve.

Who was the man behind the sentence? Herbert Alexander Simon (June 15, 1916 – February 9, 2001) was an American scholar whose work influenced the fields of computer science, economics, and cognitive psychology. His primary research interest was decision-making within organizations and he is best known for the theories of “bounded rationality” and “satisficing.” Simon was a prolific writer who authored 27 books and nearly a thousand papers. As of 2016, he was the most cited scholar in both artificial intelligence and cognitive psychology on Google Scholar. He received the Nobel Prize in Economics in 1978 for his pioneering research into decision-making processes.

What bounded rationality actually means for a working founder

In his epoch-making book, Administrative Behavior (1947), Simon described the company as an adaptive system of physical, personal and social components. What is new in Simon’s ideas is, most of all, that he rejects the assumption made in the classic theory of the firm of an omniscient, rational, profit-maximizing entrepreneur. He replaces this entrepreneur by a number of cooperating decision-makers, whose capacities for rational action are limited, both by a lack of knowledge about the total consequences of their actions.

The concept he built from this observation — bounded rationality — is frequently misunderstood as a polite way of saying that people are bad at thinking. It is not. The idea is that human rationality is real but limited — “bounded” by three persistent constraints. People intend to be rational, but they cannot achieve the perfect rationality that classical theory assumed. According to Simon, three factors constrain every decision-maker. Incomplete information means we never have all the facts; some data is missing, some is uncertain, and some is simply unknowable in advance. Cognitive limits mean the human mind can only process, store, and compare so many alternatives at once. Time pressure means decisions must be made before the clock runs out, long before every option can be examined.

For a founder, these three constraints are not occasional inconveniences — they are the permanent operating conditions of the job. The Series A pitch, the hire-or-fire call, the pivot decision: none of them arrive with complete information, unlimited processing time, or a pause button on the clock. Simon argued that the essence of administration is not organizing or commanding but deciding. That reframing matters. If deciding is the core function, then anything that degrades decision quality is an existential threat to the organization — not a productivity nuisance.

The inverted-U nobody talks about in the boardroom

The intuitive response to bounded rationality is to gather more information. More data, more dashboards, more market research. This impulse is understandable and almost always counterproductive beyond a certain threshold. Early work in consumer psychology established the concept of information overload. Prior studies proposed an inverted-U relationship between total information load and consumer decision quality. This model suggests that decision performance improves up to an optimal point but subsequently declines once cognitive load exceeds an individual’s processing capacity.

In terms of decision behavior, information overload can occupy numerous cognitive resources and damage decision quality. The research literature on this point is consistent across decades and disciplines. A synthesis of empirical evidence reveals a cross-disciplinary consensus that cognitive load constitutes a critical variable that systematically degrades decision quality through the depletion of finite working memory resources.

The distraction problem compounds this. Gloria Mark’s research at UC Irvine has produced one of the most cited and most unsettling findings in attention science: after a digital interruption, it takes an average of 23 minutes and 15 seconds to fully return to a complex task. Her 2023 follow-up shows attention spans have collapsed to 47 seconds. The arithmetic is brutal for anyone running a company: if you get interrupted just five times a day, that’s nearly two hours of lost productivity. And the damage is not merely to throughput. Interrupted workers complete tasks faster but at significantly higher stress and effort, even without losing time. Speed purchased at the cost of quality is not a trade most founders would consciously accept — yet the default information environment imposes it constantly.

Simon noted that many designers of information systems incorrectly represented their design problem as information scarcity rather than attention scarcity, and as a result, they built systems that excelled at providing more and more information to people, when what was really needed were systems that excelled at filtering out unimportant or irrelevant information. This is the misdiagnosis that most modern organizations are still making. The problem is not that founders lack access to information. The problem is that the information environment they have built — or allowed to build itself around them — is consuming the very attention they need to make good decisions.

Satisficing: the decision strategy that actually works

If perfect optimization is impossible, what is the rational alternative? Simon’s answer was precise. He proposed that rather than optimizing (finding the absolute best solution), people engage in “satisficing” — a term Simon coined by combining “satisfy” and “suffice.” Satisficing describes the process of finding a solution that is “good enough” rather than optimal. The satisficing decision-maker sets a minimum threshold — an aspiration level — and accepts the first alternative that meets it. Beyond that point, the search stops. This is not laziness; it is intelligence adapted to realistic constraints.

The practical implications for organizational design are significant. In his landmark 1947 book Administrative Behavior, Simon analyzed how organizational structures, rules, and culture shape collective decisions. He observed that organizations cope with bounded rationality through: division of attention, where different units focus on different aspects of problems; standard operating procedures that simplify recurring decisions; and hierarchical structures that break complex problems into manageable components.

This is not a description of bureaucratic inertia. It is a description of cognitive architecture. When a startup scales from ten to a hundred people without building these structures deliberately, what it is actually doing is distributing the full weight of bounded rationality across every individual in the organization simultaneously. Every person is re-solving problems that should have been crystallized into procedure. Every meeting is re-litigating decisions that should have been delegated. The cognitive tax is enormous and largely invisible.

A vital insight of Simon’s is that organisations themselves structure the decisions of their members. He suggested that the formal structure of organisations channels the thoughts and actions of actors, meaning they are not free to pursue self-interests but are parts of a collective endeavour to achieve organisational goals. Hierarchies define authority. Rules shape attention. Communication channels decide who knows what. Through these mechanisms, organisations help modify individual cognitive limitations. The founder who has not designed these mechanisms has not avoided them — she has simply left them to emerge randomly.

Simon’s design rule: listen and think more than you speak

The 1971 lecture contained a second insight that has received far less attention than the poverty-of-attention passage, and it is arguably more actionable. Simon proposed a design principle for any information-processing system — whether a computer, a team, or an organizational unit. Simon’s principle was simple: a machine (just like any designed entity such as an organization) would help with the attention problem only if “it absorbs more information previously received by others than it produces — that is, if it listens and thinks more than it speaks.”

Apply this test to the information systems in a typical growing company. The weekly all-hands that generates forty action items and no decisions. The Slack workspace with thirty channels where every message demands a response. The analytics dashboard that surfaces fifty metrics without ranking them. Each of these systems produces more information than it absorbs. By Simon’s criterion, each makes the attention problem worse. Whether a high-capacity information system will be part of the solution to the overabundance of information, or part of the problem, depends on the distribution of its attention between four classes of activities: listening, allocating, thinking, and speaking. It will be part of the solution in an organization if it absorbs more information than it produces, if it listens and thinks more than it speaks.

The same test applies to AI tools, which founders are now adopting at speed. Simon coined a design pattern called an “information processing system” (IPS). This hypothetical solution would outsource the job of condensing a sea of information to an algorithm. The question is not whether a given AI tool is powerful. The question is whether it reduces the net demand on human attention or increases it. A tool that generates ten options where there were three has made the decision harder, not easier. A tool that reduces ten options to one well-reasoned recommendation has done what Simon described.

Three moves founders can make this quarter

Simon’s framework is descriptive, not prescriptive — a point his critics have noted. Simon’s framework, for all its power, has drawn serious criticism. A persistent complaint is that he was brilliant at demolishing the old principles of administration but offered no clear set of principles to replace them. Bounded rationality and satisficing describe how decisions are made; they do not prescribe how organizations should be designed. That gap is real. But the descriptive precision is itself a guide. If you know what the constraint is, you can design around it.

Three moves follow directly from the framework. First, audit your information inputs against Simon’s absorb-more-than-you-produce test. For each recurring meeting, report, or channel, ask: does this system condense information or generate it? Eliminate or redesign the generators. Second, define explicit satisficing thresholds for recurring decision categories. Hiring criteria, vendor selection standards, feature prioritization rules — these are aspiration levels. Instead of exhaustively searching for the best possible option, decision-makers establish an acceptable threshold of satisfaction and select the first alternative that meets or exceeds this threshold. Writing these thresholds down converts a cognitive task into a lookup. Third, protect the decision-quality window. If you have ever felt smart in the morning and strangely confused by late afternoon, that is the pattern. The fix is not “try harder.” The fix is to remove avoidable decisions, place the hard ones where your brain is strongest, and stop burning high-quality cognition on nonsense.

None of this requires a productivity system, a new tool, or a consultant. It requires accepting Simon’s premise: perfectly rational decisions are often infeasible because decision problems are complex and human computational resources are finite. Once that is accepted, the design question changes from “how do I get more information?” to “how do I protect the attention I need to use the information I already have?”

What this means

The sentence is still ahead of us

Simon wrote his sentence in 1971 about an information environment that, by contemporary standards, was almost tranquil. The organizations he studied were navigating broadcast television, the telephone, and the photocopier. While Simon’s information-rich world in 1971 was driven by broadcast television and ubiquitous photocopying, his insights apply to a 2025 world with vastly more sources of information and billions of hand-held, internet-connected devices. The constraint he identified has not changed. The scale of the violation has.

In honor of the 75th anniversary of the publication of Administrative Behavior, first published in 1947, Public Administration Review held a special symposium. The Royal Swedish Academy of Sciences, which awarded Herbert Simon the Nobel Prize in Economics in 1978, considered Administrative Behavior to be “epoch-making.” Simon’s record-breaking citation count, now approaching half a million on Google Scholar, stands testament to the influence of his ideas over the last 75 years. The ideas endure not because they are elegant, though they are, but because they are true in a way that does not expire.

The founders who will build the most durable organizations in the next decade are not the ones who consume the most information. They are the ones who design environments in which the right decisions get made with the attention they deserve. Simon showed us the constraint in 1971. The work of building organizations around that constraint is still, largely, ahead of us.

Business Growth Accelerator (a FounderWise brand) works with founders on exactly this kind of structural challenge — building the decision architecture that lets operators move fast without burning through the cognitive capital that good judgment requires. If this framing resonates, the conversation starts at brief.founderwise.io.