Gamblinomics
A Bellwether for the Present Economy and Human Misalignment
Gambling ads are f-cking everywhere. From the jerseys footballers wear, to the banners inside sports stadiums, to the screens in airport terminals, to the ads that interrupt your YouTube videos, to the content people post on TikTok and Instagram, to the movies you stream at night. Gambling has become so embedded in everyday human experience that most people no longer recognise it as gambling at all. This is the result of deregulation and/or clever marketing. It is the visible surface of something far more serious: a structural failure of the real economy to provide ordinary people with a credible path to financial security, combined with a fundamental misalignment in what human societies have decided to treat as productive activity and what they have decided to reward.
To understand gamblinomics — the systematic displacement of value-creating economic participation replaced by speculative and extractive activity — you need to understand three things in sequence. First, what gambling has actually become in its contemporary forms, because it has evolved well beyond the parlay bet and the casino floor into financial instruments, prediction platforms, and even supermarket pricing. Second, why it has grown so rapidly, which requires an honest account of what the formal economy has stopped offering to most people and why the alternatives that are supposed to replace stable employment have not delivered on their promise. And third, what this phenomenon tells us about the direction human civilisation has taken — away from adding value to the world and toward extracting value from each other — and what would be required to change that direction.
I. The New Economy, or as I call it: The Gamblinomy (insert handwave and pixie dust here)
Gambling has evolved into four distinct but structurally related forms, and the most important thing to understand about them is that they share the same underlying logic: the conversion of economic participation from a stable exchange of value into a probabilistic contest in which the platform or operator holds a structural advantage over the participant, regardless of which country that participant lives in.
The most visible form remains sports betting, which over the past two decades has migrated from the periphery of sport into its very fabric, to the point where it is now difficult to watch a football match, a cricket series, a rugby game, or a tennis tournament anywhere in the world without being simultaneously exposed to the branding, the live odds, and the promotional incentives of betting operators. Operators like Bet365, which is licensed across dozens of jurisdictions, have purchased their way into the physical and broadcast environment of sport so completely that their logos appear on jerseys, their odds are embedded in live television coverage, and their advertisements appear in stadiums, in airports, on social media, and in the commentary of sports journalists who are in many cases sponsored by the same operators whose products they are incidentally discussing. The engineering of these platforms is designed to sustain continuous engagement rather than occasional use, to keep people betting between events and not just on them, and to make the line between watching sport and wagering on it as imperceptible as possible.
The second form, which carries an intellectual veneer that obscures its structural similarity to sports wagering, is prediction markets, these are platforms that allow users to trade contracts on the probability of future real-world events, structured as financial instruments rather than bets in order to position themselves under commodity or financial regulation rather than gaming law. Companies like Kalshi and Polymarket have built platforms on which people wager on election outcomes, central bank decisions, economic indicators, and geopolitical events, processing billions of dollars in volume during major political events globally. The language used to describe these platforms — “price discovery,” “epistemic markets,” “information aggregation” — creates the impression of a socially productive instrument, but the functional experience for the median participant is indistinguishable from placing a binary bet: a position is taken, an event resolves, the participant either collects or loses, and the platform retains a spread regardless of the outcome. Prediction markets are, in their economic structure, sports betting for people who are uncomfortable with the cultural aesthetics of sports betting.
The third form is retail financial speculation, which reached a new level of scale during the COVID-19 pandemic when the combination of reduced commissions, gamified trading interfaces, and prolonged periods of forced inactivity drew millions of people globally into active trading of stock options, leveraged derivatives, and cryptocurrency — instruments that carry risk profiles most retail participants do not have the technical background to fully assess. The GameStop saga of 2021, in which retail traders coordinating through reddit drove the share price of a struggling video game retailer to nearly 25 times its pre-event value in order to force catastrophic losses on institutional short-sellers, was celebrated globally as a populist moment, but it was also a demonstration that ordinary people had concluded the most reliable mechanism for generating asymmetric financial returns in a market structurally tilted toward institutional participants was not careful fundamental analysis but the manufacturing of collective volatility. Since that moment, retail participation in zero-day options, leveraged derivatives, and micro-lot foreign exchange and cryptocurrency trading has continued to expand globally, much of it facilitated by offshore brokers who offer leverage ratios that are explicitly prohibited for retail participants in most regulated jurisdictions, accessible to those same participants because the broker is incorporated elsewhere and the terms-of-service agreement transfers the legal risk to the customer.
The fourth and most insidious form is dynamic pricing, which has migrated from airlines and ride-hailing platforms — where it was progressively normalised over two decades — into grocery retail and food service, with major supermarket chains in multiple countries beginning to trial electronic shelf labels capable of adjusting prices multiple times per day based on demand conditions, inventory levels, and time signals. Dynamic pricing is not gambling in the classical sense, but it shares the essential structural logic of the gambling economy: it transfers price risk from the seller to the buyer, renders the cost of basic necessities unpredictable at the moment of purchase, and systematically extracts additional surplus from people who have no realistic alternative source for what they need. When the price of bread or cooking oil can change between the moment you enter a shop and the moment you reach the till, the experience of meeting a basic human need has been gamblified - as a Zimbabwean, I have had this experience.
II. What Created The Gamblinomy
The gambling economy does not grow because human beings have developed a sudden preference for risk or a cultural weakness for excitement. It grows because the formal economy — the one organised around education, employment, skill development, and stable income accumulation — has progressively withdrawn the offer it once made to most people, and the alternatives that have been put forward as replacements have not delivered what was promised. Three structural failures are responsible for this withdrawal, and they reinforce each other across nearly every country in the world.
One. The Collapse of the Education-to-Employment Path
For most of the 20th century, a legible and broadly functional social contract existed across developed and developing economies alike: invest in education, enter stable employment in a growing sector, and accumulate resources and security over time. This contract was always distributed unevenly across lines of race, gender, and geography, but it functioned as the dominant organising framework within which people built their economic expectations and their sense of what sustained effort would produce. That framework has been structurally dismantled by two forces operating simultaneously across the global economy.
The first is offshoring (which is different from outsourcing), which from the 1980s onward relocated manufacturing employment and then service-sector employment to lower-wage jurisdictions, compressing the domestic labour market in wealthier countries while concentrating certain categories of employment in specific lower-wage regions without creating the broader economic development those regions needed. The call centre is the paradigmatic example: a category of employment that provided stable entry-level income in many countries has been concentrated in the Philippines, Thailand, India, and parts of Latin America and sub-Saharan Africa — not because workers in those locations are uniquely suited to the work, but because wage differentials and telecommunications infrastructure made the relocation economically advantageous for capital, while the communities whose employment was displaced received no policy protection against the loss and the communities that gained the employment often found it insufficient to anchor broader economic development.
The second force is artificial intelligence, which differs from offshoring in a crucial and underappreciated way: where offshoring primarily displaced lower-credential routine labour, the current wave of AI deployment is targeting the middle of the credential distribution, automating paralegal research, financial analysis, copywriting, software testing, graphic design, customer service management, and medical image pre-screening — precisely the roles that education systems globally spent decades training people to fill and that were supposed to represent the knowledge economy’s promise to workers who had made the investment in that promise. The graduate employment data across legal, financial, creative, and technical sectors is beginning to reflect this trajectory, and workers currently in these fields can see clearly enough what is coming that the promise of credential-based security has lost the credibility it once carried across a wide range of societies simultaneously.
When both of these forces operate simultaneously on the same labour market, the result is a generation of people who have accurately assessed that the standard advice — study, build skills, be patient, compound your advantages over time — is no longer reliably delivering the outcomes it is supposed to deliver, and who are therefore rationally searching for alternatives. The gambling economy is one of the most accessible alternatives available to them.
Two. Entrepreneurship Has Become Harder, StartUps Have Become Easier, But It Doesn’t Matter If You Are Not The “Right Kind.”
The standard response from economists and technology optimists to labour market disruption is to tell displaced workers to become entrepreneurs — to build their own businesses, to stop waiting for employment and start creating it. This advice is not wrong in principle, but it is almost always delivered in a way that confuses two categorically different activities, and that confusion obscures both the genuine opportunity that entrepreneurship represents and the genuine barriers that prevent most people from accessing it.
A genuine entrepreneur is someone who identifies a value-creating opportunity along one of three axes and has the knowledge, execution capacity, and access to modest initial resources to act on it. The first axis is a novel time — an existing idea or capability whose moment has arrived because conditions have changed in a way that makes it viable or necessary, in the way that Zoom was not a conceptually new product when it scaled during COVID-19 (video calling had existed for two decades), but the pandemic created a moment in which the friction of existing alternatives became intolerable and a well-positioned product could capture the demand that the moment produced. The second axis is a novel idea — a concept that has no prior implementation in any market and that creates value by solving a problem no existing product addresses. The third axis is a novel place — an idea that works successfully in one geography but has not been implemented in another where the same underlying need exists, such as a financial product, distribution model, or service that is well-established in South Africa but entirely absent in Zimbabwe despite the fact that the demand conditions are comparable, where an entrepreneur with knowledge of both markets can bridge that gap and create real value from the transfer. Each of these three axes represents a genuine opportunity that is accessible to people without elite institutional connections or access to venture capital, provided they have local knowledge, practical execution skill, and access to the kind of modest starting capital that most people in most countries struggle to obtain through formal channels.
A startup founder, by contrast, is doing something categorically different: building a company designed to scale to unicorn valuation within a compressed timeframe using external venture capital, with the explicit goal of either a public offering or an acquisition exit, in a funding ecosystem that is geographically concentrated, demographically narrow, and structurally dependent on warm introductions that flow through networks most people never have the proximity to enter. The funding data from major accelerators and venture capital firms consistently shows that access to startup capital is concentrated among people who are male, educated at a small number of elite institutions, and located in a handful of cities — not because people outside those categories lack ideas or capability, but because the networks through which capital flows structurally reproduce their own composition.
When policymakers and commentators tell displaced workers to become entrepreneurs, they are invoking the cultural image of the startup founder while the actual opportunity they are pointing to, if it exists at all, is the genuine entrepreneurship opportunity along the three axes described above — which requires something entirely different: patient capital at accessible terms, functional distribution infrastructure, regulatory simplification that reduces the cost of business formalisation, and mentorship that does not depend on proximity to elite institutions. The conflation of these two things allows the policy conversation to avoid confronting the fact that for most people in most places, both the employment path and the capital-backed founding path have become effectively inaccessible — which is precisely the condition under which the gambling economy’s expected-value calculation starts to look competitive.
Three. The Human Condition (Hi to Jon Bellion fans)
Thomas Hobbes argued in Leviathan in 1651 that without adequate institutional structures, human existence defaults to a condition defined by competition over scarce resources in which no one can reliably accumulate security and the material conditions of life remain precarious for most people. The progressive assumption of the last two centuries of economic development was that industrialisation, democratic governance, and the welfare state would substantially solve this problem, expanding access to material security broadly enough that the Hobbesian baseline would cease to describe the lived experience of most people. The empirical reality of the early 21st century suggests that assumption was premature in most of the world.
Wealth inequality globally has increased over the past four decades by every standard measure, with the distribution of income and assets concentrating in the upper deciles across both developed and developing economies, housing costs outrunning wage growth in virtually every major city across Asia, Africa, Europe, and the Americas, and the mechanisms of upward mobility — quality education, stable employment, access to credit, functioning social insurance — becoming progressively less accessible to the people who need them most. In this context, participation in the gambling economy is not a symptom of individual moral failure or poor decision-making — it is a rational response from people who have accurately assessed their position in the formal economy and concluded that speculative participation offers better expected value than the compound-interest-and-patience model that the formal economy asks them to believe in while simultaneously pricing them out of the conditions that model requires.
III. The New Economy is Broken :(
Beyond the economic analysis, gamblinomics reflects something more fundamental about the direction that collective human productive activity has taken, and the distance that direction has travelled from what human progress used to mean.
The innovations that defined the 19th and 20th centuries such as electrification, internal combustion transport, agricultural science, public health infrastructure, telecommunications shared a common structure: they created new material value that distributed broadly across human populations, reducing the cost of food, extending productive hours beyond daylight, collapsing distance as a barrier to trade and medical access, and progressively reducing death rates from preventable diseases. The Green Revolution of the 1950s and 1960s, driven primarily by Norman Borlaug’s development of high-yield wheat varieties and associated agronomic advances, is conservatively estimated to have prevented over a billion deaths through improved crop output in food-insecure regions across Asia, Latin America, and Africa. Wealth was generated through all of this activity, but the wealth was an output of value creation — a consequence of the fact that human ingenuity had produced something that made the material conditions of human life better rather than a substitute for it.
The dominant economic activities of the last decade i.e. high-frequency trading, social media engagement optimisation, gambling application design, prediction market architecture, and dynamic pricing algorithms share a structurally different character: they are zero-sum or negative-sum distributional contests in which wealth that already exists is transferred from one party to another, with a platform fee extracted in the middle, and in which no new food is grown, no new distance is collapsed, no new disease is prevented, and no material condition of human life is improved. The operators of sports betting platforms do not increase the aggregate wealth of their users — they redistribute wealth among users while retaining a margin on every transaction. Retail speculation platforms have the same structure. So does the dynamic pricing algorithm that charges more for the same groceries because the demand signal justifies the extraction. The most visible, most capitalised, and most culturally celebrated economic activities of the current era produce nothing that improves human life in any distributed way, they simply move existing resources around and charge for the movement.
This happened because the incentive structures of the economy pointed here: venture capital generates higher multiples on platform businesses that capture existing value flows than on manufacturing or agricultural innovation that creates new value over longer time horizons, while tax policy in most countries treats returns on capital more favourably than returns on labour, structurally rewarding financial position-taking over productive work and channelling talented people toward financial engineering rather than material production. The gambling economy is what the rest of the population experiences as the downstream consequence of those incentives running their full course.
IV. Our Laws (and Politicians) Allowed All This To Happen
The gambling economy operates at its current scale not simply because technology made it possible but because specific and identifiable regulatory failures created the conditions in which it could expand without effective constraint, and those failures were the product of jurisdictional gaps that the industry identified and deliberately exploited.
The central mechanism is cross-border regulatory arbitrage, whereby a gambling or financial speculation operator licensed in one jurisdiction can advertise freely in another jurisdiction with more stringent consumer protection requirements, process payments through the domestic banking infrastructure of that second jurisdiction, and serve its citizens directly — all while maintaining, correctly under current international law, that no single domestic regulator has full jurisdiction over its operations because its corporate entity is incorporated elsewhere. This is how gambling companies can operate outside a country, advertise within it, and use its payment systems simultaneously, while remaining technically beyond the reach of its consumer protection framework. The same mechanism operates across prediction markets and retail foreign exchange: platforms accept users from countries where their products are technically prohibited because the practical capacity of national regulators to enforce against foreign-incorporated entities is limited, slow, and expensive relative to the cost of simply incorporating in a more permissive jurisdiction.
The second failure is definitional fragmentation: because sports betting falls under gaming law, prediction markets fall under commodity or financial instruments law, and retail derivatives fall under securities regulation, no single regulatory body holds jurisdiction over the full functional spectrum of the gambling economy as it actually exists, which means a product that is economically and structurally identical to a binary bet can be engineered to fit the definition of a financial contract and thereby escape the consumer protections, harm disclosure obligations, and responsible gambling requirements that gaming law would impose. This fragmentation is actively maintained by industry lobbying from participants whose business models depend on the definitional gaps, and it means that the regulatory response to any specific product is almost always overtaken by successor products designed to fall just outside the new rule’s scope before the rule has been implemented.
Closing these gaps would require regulators to classify products by what they functionally do rather than by the legal category they have been engineered to fit, to impose advertising restrictions on operators not licensed in the consumer’s home jurisdiction, to assign payment processor liability for transactions that facilitate unlicensed products, and to coordinate across borders through multilateral agreements that remove the jurisdictional arbitrage that currently makes offshore operation so commercially attractive — none of which is technically complex, but all of which faces sustained and well-resourced opposition from industries whose profitability depends directly on the current architecture of gaps.
V. How Do We Regain Our Sanity As Humanity
Addressing gamblinomics requires addressing its causes rather than its symptoms, and the causes are structural rather than cultural/moral/behavioural, which means the solutions must be structural rather than exhortations to individual moral restraint.
Restoring the credibility of the value-creation ladder requires policies that go beyond retraining displaced workers for roles that are themselves being automated, and instead actively reshape the conditions of labour markets globally: portable benefits systems that follow workers between employers, tax and trade policies that account for the social cost of labour displacement when capital relocates, and active industrial policy that creates and sustains labour-intensive sectors in economies where those sectors have been hollowed out, recognising that the compression of domestic labour markets through offshoring was not an inevitable market outcome but the product of specific policy choices that different choices could partially reverse.
Building a genuine entrepreneurship pathway requires capital instruments designed for the three-axis model of entrepreneurship that i.e. novel time, novel idea, novel place, rather than for the venture-capital model of startup founding: non-dilutive lending at accessible terms available without elite institutional affiliation, mentorship infrastructure that does not replicate the geographic and demographic concentration of the global venture capital ecosystem, and regulatory simplification that reduces the cost and complexity of business formalisation for people who are trying to build something real in a market they know. The person who has identified a working business model in South Africa and wants to implement it in Zimbabwe does not need access to a Silicon Valley accelerator — they need modest capital, a functioning legal structure, and a distribution channel, and policy in both countries should be designed to provide exactly that.
Reinstating value-addition as the primary measure of economic progress requires changing what policy treats as success: tax treatment that rewards productive investment over financial engineering, procurement frameworks that favour enterprises creating measurable material value, and a public and political discourse that stops treating asset price appreciation and the concentration of extreme wealth as proxies for broad economic health, measuring progress instead by the indicators that actually describe the quality of human economic life i.e. real income growth at the median, housing affordability, food security, and measurable improvements in economic mobility across generations and across geographies.
And closing the regulatory gaps that allow the gambling economy to operate at its current global scale requires the functional classification approach described above, implemented through multilateral coordination that removes the cross-border arbitrage opportunity that makes offshore operation so attractive, because no single country can solve through domestic regulation alone a problem that has been architecturally designed to exist between jurisdictions.
Here is the thing: gamblinomics is a structural problem that has been misdiagnosed as a cultural and/or morals one, and the misdiagnosis matters because it directs the response toward individual behaviour — toward calls for restraint (”real winners know when to stop” [insert eye roll here]), responsibility, and better choices — rather than toward the institutional conditions that determine what choices are realistically available to most people. Gambling is pervasive across the world not because people have become weaker or more reckless but because the formal economy has withdrawn its credible offer to a large fraction of the global population, because the alternative paths to financial mobility have been priced out of reach or concentrated in the hands of a credentialed minority, and because the regulatory environment has allowed extraction at unprecedented scale to proceed with near-total impunity across borders. Thomas Hobbes was right that without adequate institutions, human life defaults to a competition over scarce resources in which security cannot be reliably accumulated — and the gambling economy, given a smartphone interface, a cross-border payment processor, and a broadcast advertising budget, is what that competition looks like when the institutions that are supposed to prevent it have stopped functioning in the interest of the people they exist to protect. The question is not whether individuals should exercise more restraint in a system that has been engineered to extract from them. The question is whether the political will exists anywhere to rebuild that system into one that makes genuine alternatives possible.