The Poverty of Attention: A Plain-English Guide to Simon’s Economics of Focus

The problem is not that founders lack information. The problem is that information has become so abundant it is consuming the one resource that cannot be replenished on demand: attention. Herbert Simon named this dynamic in 1971, and every piece of cognitive science published since has confirmed it. The practical implication for anyone running a company is blunt: how you allocate attention is, in the most literal economic sense, how you allocate your firm’s decision-making capacity.

Why Simon’s 1971 argument is still the sharpest frame available

In 1971, Herbert Simon delivered a talk titled “Designing Organizations for an Information-Rich World,” published in Martin Greenberger’s edited volume Computers, Communications, and the Public Interest (The Johns Hopkins Press, pp. 38–72). The context was modest by today’s standards — Simon’s information-rich world in 1971 was driven by broadcast television and ubiquitous photocopying — yet the logic he laid out has only grown more precise with time.

His central claim was an economic one. 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.¹ This is not a lament about distraction. It is a statement about resource allocation: when one good becomes abundant, the complementary good it requires becomes scarce. Information multiplied; attention did not.

This talk is widely credited as the source for the idea of the attention economy, and Simon’s focus is on “information-processing systems” within the context of organisational dynamics. What is often missed is that Simon was making a design argument, not merely a diagnostic one. He framed the problem of attention allocation as an economic and management one, noting that many at the time had incorrectly framed organisational problems as one of a scarcity of information, rather than one of a scarcity of attention. The misdiagnosis persists. Most productivity advice still treats information as the input to optimise. Simon understood that attention is the binding constraint.

What bounded rationality actually means for a founder making decisions under load

Simon’s attention thesis sits inside a larger body of work that earned him the Nobel. The Sveriges Riksbank Prize in Economic Sciences in 1978 was awarded to Herbert A. Simon “for his pioneering research into the decision-making process within economic organizations.”² The Prize Committee’s citation noted that 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-maximising entrepreneur, replacing 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 decisions, and by personal and social ties.

The concept he introduced to describe this condition is bounded rationality. Because getting information about alternatives is costly, and because the consequences of many possible decisions cannot be known anyway, people cannot act the way economists assume they act. Instead of maximising their utility, they “satisfice” — that is, they do as well as they think is possible.³ Simon derived the word “satisfice” by hybridising “satisfying” and “sufficing.”⁴ The point is not that founders are irrational. The point is that rationality is procedural: Simon challenged the neoclassical theory of global rationality, suggesting his notion of bounded rationality, a satisficing (instead of optimising) behavior, and the relevance of procedural rationality to understand the process of thought of decision makers.

The practical implication is direct. Decision-makers face three key constraints: limited knowledge of alternatives and outcomes; cognitive limitations in processing complex information; and constraints on time and computational resources. A founder who begins a decision already saturated with irrelevant inputs — a morning of Slack threads, investor newsletters, and competitor news — has not improved their bounded rationality. They have tightened the bounds further.

The inverted-U curve: how more information becomes a liability

The relationship between information input and decision quality is not linear. 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 (Jacoby et al., 1974), suggesting that decision performance improves up to an optimal point but subsequently declines once cognitive load exceeds an individual’s processing capacity.⁵ The curve rises, peaks, and falls. Most founders operate well past the peak.

The mechanism is cognitive load. Working memory — the cognitive system that holds and actively processes information — has a hard capacity limit. Cognitive load operates as a neurocognitive switch that modulates the balance between intuitive and analytical processing, with high load conditions systematically privileging heuristic-based responses over analytical reasoning, thereby degrading decision quality across multiple domains.⁶ In plain terms: when working memory is full, the brain defaults to shortcuts. Those shortcuts are fast and often wrong in novel, high-stakes situations — precisely the situations founders face most often.

Daniel Kahneman’s dual-process framework makes the mechanism visible. Kahneman’s dual-process theory distinguishes between two systems. System 1 “operates automatically and quickly, with little or no effort and no sense of voluntary control.” System 2 “allocates attention to the effortful mental activities that demand it, including complex computations,” and its operations are often associated with the subjective experience of agency, choice, and concentration.⁷ High cognitive load acts as a silent tax on working memory, forcing a systematic degradation in decision-making quality, manifesting as heightened dependence on simplistic heuristics and cognitive biases, a significant reduction in vigilance and attention to critical details, and a profound impairment in capacity for logical reasoning, analytical problem-solving, and self-regulation. The founder who makes a hiring call at the end of a day of context-switching is not making the same decision they would make at the start of a protected morning.

Decision fatigue: the temporal dimension of Simon’s problem

Cognitive load describes the instantaneous constraint. Decision fatigue describes what happens across time. Decision fatigue describes the depletion of the decision-making system over the course of a day through repeated decisions — a resource depletion model. Cognitive Load Theory describes the instantaneous capacity constraint on working memory — a simultaneous processing limit. Decision fatigue affects what happens to decision quality across time; cognitive load affects what happens to decision quality within a single decision when too much must be held in mind simultaneously.

The most cited empirical illustration comes from a 2011 study by Danziger, Levav, and Avnaim-Pesso, published in the Proceedings of the National Academy of Sciences. The study found that a judge’s willingness to grant parole can be influenced by the time between their latest break and their current hearing. The team studied more than 1,000 parole decisions made by eight experienced judges in Israel over 50 days in a ten-month period.⁸ After a snack or lunch break, 65 percent of cases were granted parole. The rate of favorable rulings then fell gradually, sometimes as low as zero, within each decision session and would return to 65 percent after a break. The cases had not changed. The judges had depleted.

Note that the study’s interpretation has been contested — later simulations suggested the magnitude of the effect may be partly explained by case-ordering artefacts — but there is clear evidence that judicial decision-making is influenced to some degree by extraneous factors. The directional finding is robust: a depleted decision-maker is a structurally different instrument from a rested one, and no amount of additional information compensates for that difference. For a founder making consequential calls on pricing, people, and capital, the sequencing and spacing of decisions is not a scheduling preference. It is a performance variable.

Simon’s design principle: the information condenser

Simon did not stop at diagnosis. He proposed a design principle that remains the most operationally useful idea in the entire attention-economy literature. Simon offered the following: “An information-processing subsystem will reduce the net demand on the rest of the organisation’s attention only if it absorbs more information previously received by others than it produces — that is, if it listens and thinks more than it speaks.”⁹ To be an attention conserver for an organisation, an information-processing system must be an information condenser.

Translate this into the vocabulary of a modern company. Every dashboard, every meeting, every Slack channel, every reporting cadence is an information-processing system. The question Simon asks of each one is not “does it provide useful information?” but “does it absorb more attention than it generates?” A weekly all-hands that produces 40 action items absorbs one hour and generates 40 hours of downstream cognitive load. It is not an attention conserver; it is an attention multiplier. When the supply of artifacts grows faster than the capacity of users to evaluate and adopt them, competitive dynamics shift from production scarcity to attention scarcity, and realised outcomes become increasingly concentrated. The same dynamic operates inside a company: when the supply of internal information grows faster than the team’s capacity to process it, decision quality concentrates in whoever has the most protected attention — typically no one.

Simon’s design principle also reframes the role of AI tools in the modern operator’s stack. He coined a design pattern called an “information processing system” (IPS) — a hypothetical solution that would outsource the job of condensing a sea of information to an algorithm. The question is not whether a given tool is powerful, but whether it absorbs more attention than it produces. A large language model that generates 2,000-word summaries of every competitor’s product update is not an IPS in Simon’s sense. A tool that surfaces one decision-relevant signal per day and suppresses everything else is closer to what he had in mind.

Three operational moves for attention-scarce founders

Simon’s framework resolves into three practical interventions, each grounded in the underlying economics.

First: treat attention as a budget, not a virtue. The conventional framing of focus — as a matter of discipline or willpower — misses the economic structure. The most direct antecedent to attention economics is Herbert Simon’s account of informational abundance and attentional scarcity. Simon argued that in an information-rich world, the scarce factor is no longer information itself but the attention required to process it, with the implication that organisations and markets must allocate attention carefully rather than merely maximise output. Allocating attention carefully means deciding, in advance, which decisions deserve the first hours of the day and which can be batched, delegated, or eliminated. The research on cognitive load suggests a different optimisation target: manage the system that produces decisions, not the decisions themselves.

Second: design information flows that condense rather than amplify. A meta-analysis of 31 experiments reported in 18 empirical studies found that both information diversity and information repetitiveness have an adverse impact on decision quality: provision of either diverse or repeated information can be detrimental to prediction accuracy.¹⁰ This is a direct indictment of the default information diet of most founding teams: diverse inputs from many sources, repeated across multiple channels. The corrective is not more curation; it is structural reduction. Fewer dashboards. Fewer standing meetings. Fewer notification surfaces. Each one eliminated is an attention budget restored.

Third: sequence decisions to match cognitive state. Cognitive science reveals that mental resources are finite and highly susceptible to depletion. Cognitive load and decision fatigue impair executive judgment, leading to suboptimal outcomes, ethical lapses, and increased vulnerability to cognitive biases. Chronic mental strain — exacerbated by information overload, emotional labour, and time pressure — alters attention, risk perception, and self-regulation.¹¹ The structural response is to place the highest-stakes decisions at the beginning of the decision session, after a genuine break, and to refuse to let low-stakes operational noise occupy the same cognitive window as strategic choices. The founder who schedules a board-level pricing decision after three hours of customer support escalations has not been unlucky; they have been architecturally careless.

What this means

The forward view: decisions, not feeds

Simon wrote his 1971 argument before the internet, before smartphones, before algorithmic feeds designed by teams of engineers to maximise the time-on-surface of human attention. The structural conditions he described have since been industrialised. The attention economy is no longer a side effect of information abundance; it is a deliberate product of it, built by companies whose revenue depends on consuming the very resource Simon identified as scarce.

For founders and operators, this creates a specific and tractable problem. Simon’s concepts of bounded rationality and satisficing remain foundational in fields ranging from economics and management to psychology, computer science, and artificial intelligence. In today’s information-rich environment, Simon’s insights are perhaps more relevant than ever. The relevance is not nostalgic. It is operational. Every founder who has ever opened a social feed instead of making a decision they were avoiding has experienced Simon’s poverty of attention in its most personal form. The feed is not the enemy. The misallocation is.

The founders who compound over time are not those who consume the most information. They are those who have designed their environments so that attention flows toward decisions and away from feeds. Simon gave us the economics. The architecture is ours to build.

Business Growth Accelerator (a FounderWise brand) works with founders on the operational systems — including decision architecture and attention design — that determine whether strategic clarity translates into consistent action. If this framework resonates, explore how structured accountability changes the quality of the decisions you make every week.