Evergreen guide · Updated 20 June 2026
A short map of artificial intelligence in Uzbekistan: the state's bet, its use in fintech and what will determine the real outcome.
Uzbekistan is approaching artificial intelligence on a wave of rapid digitalization and fintech growth. The state has made AI part of its strategy, but the real value will be determined by execution: data, talent, infrastructure and rules.
Uzbekistan has adopted a national strategy for developing artificial intelligence and links it to digital public services, talent training and the development of the IT Park. AI is seen as an accelerator of the economy and of IT-services exports.
The strategy sets the direction, but its outcome depends on how quickly declarations turn into working services and accessible infrastructure.
A large young audience and mobile-first habits have made Uzbekistan one of the fastest-growing fintech markets in the region. Payment apps, marketplaces and banks generate the data where machine learning works best.
That is why the first mature AI scenarios here are where the money is: scoring, anti-fraud, personalization, instalments and support automation.
The key constraints are access to data and computing, training and retaining talent, localizing solutions to the language and context, and the rules for applying AI in finance and in dealings with citizens.
The clearer these conditions are, the faster pilots move into permanent processes rather than remaining one-off demonstrations.
It is worth tracking the shift from strategy to practice: launches of AI-based public services and products, partnerships among banks, marketplaces and fintechs, investment in infrastructure and changes in data regulation.
Yes, a national strategy for developing artificial intelligence has been adopted, linked to the digitalization of public services, talent training and the development of the IT sector.
Closest to money and data — in fintech and banks: scoring, anti-fraud, personalization and support automation. Public services are growing in parallel.
Execution: access to data and computing, talent, localization to language and context, and clear rules for applying AI in sensitive areas.