innovation-ecosystemstalent-sourcingemerging-jurisdictions

Network School explained: what it is, where it moved, and why sourcing teams are paying attention

·Andy Chiang·9 min read
Network School explained: what it is, where it moved, and why sourcing teams are paying attention

Corporate innovation teams mapping non-traditional talent concentrations usually stop at accelerators, university spinout offices, or established special economic zones. Network School fits none of those categories, which is exactly why it keeps appearing in briefings and getting misread.

Quick answer: Network School is a residential, membership-filtered community founded by Balaji Srinivasan in 2024 as a physical prototype of the "network state" concept from his 2022 book. It launched as a 90-day pop-up in Forest City, Malaysia, operated there for roughly 18 months, and relocated to Kazakhstan in mid-2026 after Malaysian authorities revoked its operating license. Membership covers housing, meals, coworking, and programming for around $1,500 per month for a shared room.

What Network School actually is

Network School is an intentional residential community organized around a specific ideology: that high-agency, values-aligned groups of founders, engineers, and remote workers can bootstrap new forms of community and, over longer time horizons, new forms of jurisdiction. It is not a co-living space for digital nomads, not an accelerator with a demo day, and not a university.

The founding premise comes directly from Srinivasan's 2022 book The Network State. The argument is that online communities of ideologically aligned people can eventually crystallize into physical societies with their own norms, economic activity, and claims to greater autonomy. Network School is the first attempt to run that experiment with real people, real buildings, and a real operating budget.

Members self-select for comfort with crypto and AI, interest in building or living inside new social structures, and what the community calls "high agency" -- a disposition to move fast and treat institutional friction as a design problem rather than a fixed constraint. That filter is not incidental; it is the product. The density of that particular kind of person in one building is what Network School is selling.

How the Learn-Burn-Earn-Fun model works in practice

Srinivasan compressed the community's operating philosophy into four words, and the compression is deliberate: each term describes a practice the community does together, not a program it offers.

Learn covers continuous skill acquisition oriented toward technology, governance, and the history of successful city-states and reform periods. Sessions, speakers, and workshops are built into the weekly schedule rather than treated as optional enrichment.

Burn is physical fitness and health optimization as a collective practice. The community shares meals designed around specific health protocols and treats gym attendance as a norm rather than a personal choice. The framing is that a healthy, high-functioning body is infrastructure for productive work.

Earn refers to remote or on-site productive work. Most members work their own jobs or companies while in residence. Some experiments in paid contribution inside the community have run alongside that, though the primary model is that members bring their own income rather than being employed by Network School.

Fun is deliberate social density among people who share baseline assumptions about technology and institutions. The argument is that serendipitous collaboration and trust formation require physical proximity over time, not just periodic meetups.

Pricing is structured as "society-as-a-service" -- the community's own framing. A shared room runs roughly $1,500 per month; a private room runs roughly $3,000 per month. Both cover accommodation, three daily meals, gym access, coworking space, events, and programming. Stays are flexible in principle from one month upward, though the community encourages longer-term commitments. A separate Fellowship track offered selected founders $100,000 in funding in exchange for a full-year on-campus commitment.

The Malaysia chapter: Forest City and its limits

Forest City in Johor, Malaysia, was an unusual choice that made strategic sense. The development is a large reclaimed-land project close to Singapore, which gave Network School proximity to Singapore's capital and talent networks while offering significantly lower costs and available space that had not found conventional tenants.

The first cohort ran September through December 2024. More than 4,000 applications arrived from over 80 countries for roughly 128 slots, establishing proof of demand before any expansion. Through 2025, Network School moved to a longer-term residency model targeting initially 256 members, with capacity growing from there. By internal and member accounts, total people who passed through the community in Malaysia reached into the low thousands, with a core of longer-term residents anchoring continuity.

In July 2026, the Iskandar Puteri City Council revoked the operating license of the local entity and ordered operations to cease, citing licensing and premises-use violations. The decision arrived amid broader political and public controversy. That sequence is a useful data point for anyone evaluating alternative jurisdictions: a community explicitly designed to anticipate institutional friction still found that friction consequential. The Malaysia episode is not a reason to dismiss the experiment, but it is a direct illustration of how quickly the legal surface of a host jurisdiction can shift.

What the Kazakhstan relocation actually signals

Within hours of the Malaysian decision, Srinivasan announced a memorandum of understanding with Kazakhstan. By mid-August 2026 he stated that Network School was operational in Kazakhstan, with the new campus associated with Astana Hub and government cooperation on expedited visas, talent recruitment programs, and related infrastructure. The precise physical setup in Astana was still consolidating at that point -- the relocation was announced and operational, not fully mature.

That sequence matters for how corporate teams should read the move. Kazakhstan has been actively positioning itself as a technology and AI destination, and the partnership gives Network School something the Malaysia arrangement never had: explicit state backing rather than informal tolerance. Astana Hub is a government-sponsored technology park with its own accreditation and residency frameworks, which reduces some of the jurisdictional ambiguity that trailed the Forest City operation.

The speed of the transition -- from license revocation to an announced operating agreement in a new country within 24 hours -- tells you something about how the community was already organized. The international network of government relationships was apparently maintained in parallel to the Malaysia operations, not improvised after the fact. Whether that reflects contingency planning or existing relationships built through Srinivasan's network is not public, but the outcome is a community that relocated a live operation across continents in weeks rather than months.

Why corporate scouts are starting to notice this node

Most talent concentration maps that corporate innovation teams use are built on institutional proxies: university ranking, accelerator brand, special economic zone designation, or venture capital density. Network School produces none of those signals in a legible form, which means it gets missed by standard sourcing filters.

The people who pass through it are disproportionately likely to found companies working on governance technology, crypto infrastructure, AI tooling, and longevity-adjacent projects. They are also disproportionately comfortable operating across jurisdictions, working in environments without established legal frameworks, and building in areas where the regulatory posture is still forming. For corporate teams in energy, manufacturing, or industrial deep tech -- sectors where the gap between regulatory reality and technical possibility is large and widening -- that comfort with ambiguity is a genuine differentiator.

The practical limitation is visibility. Many participants are heads-down on their own work. The community is filtered enough that cold outreach from a corporate scout lands differently than it would at a general accelerator. And the legal surface of the host jurisdiction, as Malaysia demonstrated, can change without warning.

For comparison, ecosystems like Osaka-Kansai or Waterloo Region produce legible signals through institutional channels -- spinout offices, cluster associations, government programs -- that make sourcing more systematic. Network School is the opposite model: signal-poor by design, high-density by selection. A scout who knows how to read it has a sourcing advantage; one who only works from directories misses it entirely.

The overlap with Prospera and adjacent "startup society" projects is not coincidental. The intellectual and investor circles that back these experiments are connected, and the founders who cycle through Network School are the same population showing up in pitches about new economic zones, modular governance, and alternative regulatory frameworks. Understanding the node helps explain supply flowing into those conversations.

If your team sources opportunities in jurisdictions where the innovation map is still being drawn -- Estonia's digital infrastructure export story is a precedent-setting case on the institutional side -- then tracking ideology-organized talent concentrations like Network School belongs in your peripheral vision, even if it never becomes a primary pipeline.

If you are mapping founders and operators working at the intersection of technology and new jurisdictions, Innovation Scout surfaces active, vetted companies matched to your mandate without requiring you to work from a directory or cold outreach: chibit.io/scout.

Part 2 of this series will examine who actually joins, what kinds of companies and experiments emerge from the community, and how the density of builders compares with traditional accelerators or university ecosystems.

FAQ

What is Network School and who founded it?

Network School is a residential, membership-filtered community founded by Balaji Srinivasan, former Coinbase CTO and author of The Network State, as a physical prototype of the network state concept. It launched in Malaysia in late 2024 and relocated to Kazakhstan in mid-2026 after Malaysian authorities revoked its operating license.

How much does Network School membership cost?

Network School membership costs approximately $1,500 per month for a shared room or $3,000 per month for a private room, covering accommodation, daily meals, gym access, coworking space, and programming. A separate Fellowship track offered selected founders $100,000 in funding in exchange for a full-year on-campus commitment.

Why did Network School leave Malaysia?

The Iskandar Puteri City Council revoked the operating license of Network School's local entity in July 2026, citing licensing and premises-use violations, and ordered operations to cease. The decision came amid broader political and public controversy around the project.

Why is Kazakhstan the new host and what is Astana Hub?

Kazakhstan partnered with Network School as part of its broader strategy to position itself as a technology and AI destination. Astana Hub is a government-sponsored technology park in the capital that provides accreditation, residency frameworks, and organizational infrastructure, giving Network School more explicit state backing than the Malaysia arrangement offered.

Is Network School relevant for corporate innovation sourcing?

Network School matters for corporate sourcing teams because its membership -- self-selected founders, engineers, and operators oriented toward governance technology, crypto, AI, and experimental jurisdictions -- is not visible through standard accelerator or university spinout channels. The community is signal-poor by design and requires active knowledge of the node to access, which creates a sourcing advantage for teams that track it.

About Andy Chiang

Founder at Chibit

Andy Chiang is the founder of Chibit, a platform that helps corporate innovation, R&D, and M&A teams find active, relevant companies across global innovation ecosystems. He works with buyers who need short lists matched to a real mandate, not directory dumps, with particular focus on green economy, energy, and manufacturing across East Asia, North America, and Eastern Europe. Before Chibit, he spent over a decade in marketing, growth, and go-to-market for technology companies. He writes about operating leverage at Seeking Leverage and hosts Foreign Founders, a podcast and community for immigrant founders, operators, investors, and ecosystem partners. He is based in Brooklyn, New York.

innovation ecosystemscorporate innovation sourcingcross-border M&Astartup ecosystemseconomic developmentgo-to-market

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