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Why information asymmetry is one of the deepest barriers to inclusive growth — and what it specifically costs inside the global startup ecosystem.
ON INFORMATION ASYMMETRY · PART 1 OF 2 · WORLD STARTUP FEDERATION
About this series
On Information Asymmetry is a two-part series of foundational essays from the World Startup Federation. It is written for members, partners, civic leaders, journalists, and anyone trying to understand why building a fairer, more inclusive global startup ecosystem is both extraordinarily difficult and, for the first time, genuinely possible.
This first essay establishes the problem — what information asymmetry is, why it is one of the oldest barriers to inclusive growth, and what it specifically costs in the global startup ecosystem. Part 2 — "What Changes Now" — turns to why this has, until recently, been an unfixable problem, and why the conditions for finally doing something about it have changed in the last few years.
Every functioning market in human history has been shaped, in large part, by who knows what. Where the goods are. What they cost. Who is buying. Who is selling. What the terms look like. Who is trustworthy. In any market with imperfect information, the people closer to the knowledge make money. The people further from it pay a tax — sometimes in cash, more often in time, missed opportunities, and worse outcomes than they should have had.
Economists have a name for this phenomenon. They call it information asymmetry. Outside the economics seminar, it goes by a different name: unfairness.
This is not a phenomenon of finance, or of trade, or of any single industry. It is one of the deepest patterns of human inequality, and it shows up wherever opportunity is unevenly distributed. A first-generation college student who does not know which financial aid forms to complete, and by when, pays a lifelong cost for that information gap that her better-resourced classmates never see. A talented teenager in a small town whose family has not navigated the university application process pays a cost in the school she ends up at, and in every career that follows from it. A worker who does not know what her labour is worth elsewhere pays a cost in the salary she negotiates here. A small business owner in a language minority pays a cost in the contracts, grants, and credit she can never quite access in the way her majority-language neighbours do. A migrant in a new country pays a cost in every system she has to navigate without the unwritten knowledge a native carries for free.
In each of these cases, the people involved are not less capable. They are simply further from the information. And in each case, that distance — invisible, ambient, unmeasured — translates into a tax they pay every day for the rest of their lives.
This is the universal pattern. It is one of the deepest barriers to inclusive growth in any society, and one of the oldest. The world has always had it. The world has rarely had effective tools against it.
This essay is about one specific domain where the pattern is particularly visible, particularly large, and particularly costly: the global startup ecosystem.
There is a specific structural reason information asymmetry has been so stark in the startup world.
Startup ecosystems, as The Foundations explored at length, have historically been location-bound. Silicon Valley, Tel Aviv, Bangalore, London, Singapore, Shenzhen — each operates as a dense local network in which information flows continuously between participants. Investors talk to founders. Founders introduce other founders. Lawyers share standard term-sheet language. Recruiters know who is hiring. Mentors know whose problem they have already seen, and where the answer lives. Inside any one of the world’s strong ecosystems, the information that founders need is genuinely abundant. It moves freely.
The problem is not within any one ecosystem. The problem is across them.
Information in the startup world has historically circulated freely inside ecosystems and almost never travelled between them. The founder in Lagos is not failing to absorb the information that exists in her city. She is sitting outside the loop in which the relevant information actually lives — which happens, by accident of geography, to be located somewhere else. The same is true for a founder in Lima, in Manila, in Tashkent, in Kigali, in Tbilisi, in any of the hundreds of cities around the world where serious entrepreneurial talent exists but the dense connective tissue of a hub does not.
This is the specific shape information asymmetry takes in the startup world. It is not absence of information; it is trapped information. Knowledge that exists, that is freely shared somewhere on Earth, but that does not cross the invisible perimeter of the ecosystem in which it lives.
Consider two founders with comparable ideas. Both are technically excellent. Both are commercially serious. Both are coachable. One of them lives in San Francisco. The other lives in Lagos.
The founder in San Francisco knows, without thinking about it, what a clean Series A term sheet looks like, which three funds are the obvious first calls for her sector and stage, what a market-rate seed valuation is for her kind of company this quarter, which recruiter to call for an experienced engineering hire, which lawyer to use for an unusual structuring question, which mentor will respond to a cold introduction and which will not, and how long the typical fundraising process should take before she starts worrying. None of this information is written down anywhere she could point to. It is in the air she breathes, the colleagues she has lunch with, the WhatsApp groups she is in, the founders she sat next to at last year’s demo day.
The founder in Lagos has none of this. Not because she is less capable, less ambitious, or less informed about her own business — she may well be more so. The information is simply not in her environment. To get to the same baseline, she has to fly somewhere, build a network from a standing start, ask questions she does not yet know to ask, and accept that the answers she does receive will arrive months or years after they would have arrived if she lived in a hub.
This is information asymmetry in its operational form. It is not a moral failing of any individual. It is a structural property of how startup ecosystems have, until now, distributed information geographically.
What does this asymmetry actually cost?
It costs founders worse terms — because a founder who does not know what fair looks like cannot negotiate to it. It costs them slower fundraises, because they spend months looking for the right investors that an insider could have named in twenty minutes. It costs them the wrong hires, because the talent they recruit is from the talent pool they happen to be near, not the one the company actually needs. It costs them the wrong advisors, the wrong service providers, the wrong customers to target first, the wrong launches, the wrong narratives.
One example is worth pulling out in detail, because it captures the shape of the asymmetry tax with unusual clarity: startup valuations at the early stage.
A founder in Silicon Valley raising a seed round will, on average, command a valuation five to ten times higher than a comparably strong founder raising a seed round in Nairobi, Karachi, Manila, or Bogotá. Some of that gap is justifiable. The cost of building a company in San Francisco is higher, runways need to be longer, market access is wider, and the perceived risk that follow-on capital will be available is lower. Those are real factors, and any honest analysis of the data accounts for them. The disparity narrows when one corrects for them, but it does not disappear. Even after accounting for cost base, runway, market access, exit pathways, and follow-on risk, the gap between mature-ecosystem and emerging-ecosystem valuations is far larger than the structural factors alone can explain.
The unexplained residual is, more than anything else, the cost of information asymmetry. The Bogotá founder does not know who is most likely to lead her round, what terms are reasonable for her sector and stage, which comparables to anchor on, or how to read the signals coming back from the few investors she does manage to reach. The Silicon Valley founder, with the same idea and the same team, does. The five-to-ten-times gap is the price of that difference, charged silently, every day, to founders who are entirely unaware they are paying it.
On the other side of the conversation, information asymmetry costs investors too. An investor whose dealflow is restricted to people her analyst can plausibly meet at a coffee shop will systematically miss the founder building something extraordinary in a city she has never visited. She will pay too much for the founders she can see, because everyone else can see them too, and she will under-deploy capital that could have produced exceptional returns somewhere she did not happen to look. Investors outside the major hubs face the same problem in reverse — they cannot benchmark, cannot syndicate easily, cannot tell whether the term sheet they are seeing is reasonable.
Mentors, service providers, researchers, university programmes, and government agencies face their own versions of this. The mentor with two free hours a month wastes them on people who do not actually need her specific expertise, because she cannot find the founder who does. The service provider who could change a startup’s trajectory never meets the startup. The researcher with a discovery that could be commercialised never meets the founder who could commercialise it. The government scheme that should reach a thousand founders reaches a hundred.
In aggregate, this is enormous. The cost of information asymmetry in the global startup ecosystem is paid every day, in every city, by every person who participates — and the people who pay the most are, almost by definition, the people who can least afford to.
The shape of the asymmetry is also visible in how the startup economy’s intermediary layer is structured today. Investment bankers, brokers, M&A advisors, finders, deal scouts, accelerators that play the signal-provider role — each of these is a category that exists for a reason. The best of them add genuine, irreplaceable value: they take complex transactions, complex relationships, and complex judgements and turn them into outcomes that founders and investors could not have produced alone.
Layered on top of that genuine value, however, today’s intermediary economy also carries a second cost — a scarcity premium. In any market where information flow is slow and bounded, the people best positioned to move information across boundaries can charge a premium that has less to do with the quality of their work than with their position in the network. The only lawyer in a regional capital who has drafted a clean term sheet can charge whatever the market will bear, not because she is the best lawyer in the world, but because she is the only one her client can plausibly reach. Multiply that effect across the thousands of roles a startup interacts with, and a large fraction of the cost a founder outside a hub pays today is exactly that scarcity premium — a function of friction in how information flows, not of the underlying quality of the work being done.
This distinction matters because it tells us what changes when the friction goes away. The genuine value-add work of intermediaries does not disappear. If anything, it becomes more accessible — a lawyer who is genuinely brilliant at term sheets in one city can suddenly serve clients all over the world. What recedes is the scarcity premium. The good intermediaries thrive in a more competitive, more global market. The artificially scarce ones — the ones who existed only because someone in their geography had no other option — fade away.
This is the problem.
For most of the last fifty years, the gap, the tax it imposes, and the scarcity premium it generates have been simple facts of life for the startup world. There was no realistic way to bridge them at scale, and so the cost was paid in silence by every founder, investor, mentor, and ecosystem stakeholder operating outside the dense connective tissue of the world’s strongest hubs.
That fact is no longer true. The second essay in this series — What Changes Now — turns to why, and to what is finally becoming possible.
This is Part 1 of "On Information Asymmetry," a two-part series of foundational essays from the World Startup Federation. Part 2 — "What Changes Now" — explains why the problem this essay describes is, for the first time in human history, newly solvable, and what WSF is doing about it. Learn more at worldstartupfederation.org.

A practical introduction to a term you have probably heard — and what it actually means for cities, founders, and the future of entrepreneurship.

The inner mechanics of a functioning ecosystem — and what separates a working one from one that only looks the part.

If startup ecosystems are this slow and difficult to build, why should any region, government, or institution put a generation of patient work into one? Because what you get on the other side is exceptional — and unusually protectable.
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