How to Build A Successful AI Hub

While exact estimates vary, the size of Silicon Valley’s economy was comparable to China’s GDP in 2024, while the combined market capitalisation of major Silicon Valley tech companies topped US$20 trillion in 2025.    Considering these staggering numbers, it’s no surprise that many low-income countries have tried to replicate the “magic” of Silicon Valley. In Africa, for example, a number of technology parks have been launched, including Konza Techno City in Kenya, Yabacon Valley in Nigeria, Kigali Innovation City in Rwanda and, most recently, Silicon Accra in Ghana.   Common drivers Based on my discussions with various ministers of economy, digital transformation and education from Asia, Africa and Latin America, there are four key drivers or objectives behind these tech-hub efforts:  

• Sovereignty: A means of achieving independence from global tech behemoths such as Microsoft, Google, OpenAI and Meta.
• Localisation: The means to develop content and applications that meet the specific needs and languages of local communities, particularly those underserved by existing content.
• Building muscle: Offering an environment that can support and nurture local talent to implement these local solutions.
• Building a viable ecosystem: One that is commercially successful and sustainable, without the need for long-term government subsidies. 

  Lessons in failure While the tech hub examples listed above are still under development, they are not the first to try and recreate Silicon Valley. The majority of previous efforts have failed, due to reasons ranging from talent scarcity to political uncertainty.   For example, “Hope City,” Ghana’s first Silicon Valley project never took off after its 2013 launch due to bureaucratic and funding issues. Other notable failures include Cyberjaya in Malaysia, KAEC Tech & Innovation Zones in Saudi Arabia, and Amaravati in India.   While each offers different lessons, all underline the fact that Silicon Valley’s success is built on a mixture of features that are often intangible and very difficult to reproduce. These include a risk-tolerant culture, closeness to top-tier universities, networks of talent, abundant venture capital and a long history of innovation. This is particularly difficult to replicate in environments that face stifling bureaucracy, alongside a culture of aversion to risk and collaboration.   A commercial approach For the last two decades, INSEAD’s TotoGEO AI Lab has been working with multinationals and non-profits, including the Gates Foundation, to tackle the “content divide” – the lack of relevant, usable online content in many local languages and contexts. As part of this extended mission, the lab is now partnering with entrepreneurs worldwide to use AI in building a new generation of local technology hubs. One such partner is David Osei, co-founder and CEO of Silicon Accra whose Twelve Springs Investment Group is developing business parks that blend high-yield commercial ventures – hotels, luxury apartments, co-working hubs and golf courses – with subsidised or free space for startups and incubators. Launched in 2016, Silicon Accra’s first phase plans office space for 20,000 people and aims to host research institutions, corporates and ICT startups in an ecosystem that drives technological development in Ghana. What sets it apart from many tech hubs is the intention to use profits from real estate developments to subsidise the tech ecosystem. Following a model inspired by London’s Canary Wharf and South Korea’s Songdo, it assumes rapid land appreciation, early anchor tenants, supportive capital markets and startups that can eventually pay market rates. Osei stresses that Silicon Accra is a long-term play. The infrastructure is already in place but full build-out of apartments, offices, labs and co-working spaces is ongoing. The long-term ambition is that more than 50 startups, linked to on-site university research labs and training programmes, will be based in Silicon Accra by the end of the decade. TotoGEO’s role is to provide the core technology infrastructure and monetisable platforms that help the park shift from a real-estate-led phase to a productive, revenue-generating innovation ecosystem. Over time, TotoGEO will transfer both know-how and technology to Ghanaian ownership, helping establish a local AI lab that builds customised products for sectors such as agriculture, fintech and govtech, and offering training and other services. These new revenue streams are intended to support startups, subsidise workspaces and attract anchor tenants, creating a self-reinforcing model for local innovation. Where earlier tech hubs often started from scratch, TotoGEO offers a way to “hit the ground running” by plugging into existing platforms, from B2C search engines to B2B tools, so that emerging ecosystems like Silicon Accra can move more quickly from concept to impact.   Alternative approaches Silicon Accra’s real-estate-driven approach is not the only option. Several technology hubs in other low-income economies demonstrate alternative blueprints for success – particularly those that embed artificial intelligence into their core strategy from the outset.   Take the National Innovation Center (NIC) in Hòa Lạc, Vietnam. Established in October 2019 under Vietnam’s Ministry of Planning and Investment, NIC is more than a technology park. It’s a government-led attempt to build a national innovation platform. The Hòa Lạc campus, inaugurated in October 2023, anchors a national convening hub which links startups, enterprises, academia and international partners.    NIC’s key strategy is to target “mission sectors” – covering areas such as smart factories and cities, semiconductors, digital communications and cybersecurity – to concentrate programming and partnerships. NIC emphasises sector-focused pipelines, rather than a fixed number of resident companies. NIC demonstrates how to use national mandate, strong partners, and sector missions to strengthen focus, buying time for the physical campus to become the default meeting place for start-up ventures.   Meanwhile in central Asia, the Astana Hub in Kazakhstan adopts a policy-led cluster model where the core value proposition is not space but incentives and internationalisation. Opened as an IT park in 2018, Astana Hub positions itself as a “bridge to the world”. It runs programmes with global partners such as Google for Startups and California’s Draper University.    By late 2025, Astana Hub reported over 1,850 participant companies, including more than 470 with foreign ownership or investment. Success stories have included AI video generation company Higgsfield AI, parking management solution Parqour and agritech platform Egistic. The takeaway is simple: Countries that cannot outspend others on venture capital could make it cheaper and easier to build locally – through incentives, visas, and predictable rules – and then layer export pathways and global accelerators on top.   A third approach is represented by Ruta N in Medellín, Colombia, a city-led innovation district. Founded in 2009 as a joint venture between Medellín’s Mayor’s Office, UNE (telecom), and EPM (public utilities), Ruta N demonstrates how a municipality can orchestrate ecosystem development without waiting for national policy change. The strategy combines a designated innovation district with a physical complex that functions as a soft-landing base, thanks to its infrastructure and incentivized rents, for companies of varying sizes.   Ultimately, there is no single template for a “Silicon-X”. Be it national mandate, regulatory incentives, district branding or real-estate-backed cash flow, what really matters is identifying a structural advantage and turning it into a catalyst for AI-driven growth.