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Uzbekistan’s Unicorn Emerges On Global Stage With $65.5 Million Funding Round

Capital Infusion Amplifies Growth

In an era increasingly defined by East-West divisions, Uzbekistan has emerged as a strategic bridge between global markets. The nation’s pioneering unicorn, Uzum, has secured $65.5 million in an all-equity funding round co-led by China’s Tencent and VR Capital from New York and London, with additional investment from FinSight Ventures in the United States. This inflow has propelled Uzum’s post-money valuation to approximately $1.5 billion—a significant 30% jump from its initial unicorn valuation of $1.16 billion.

Strategic Expansion Across E-Commerce And Fintech

Founded in 2022, Uzum rapidly diversified its business portfolio. Initially launching the e-commerce platform Uzum Market, the company soon expanded into fintech with the introduction of a debit card product, and further broadened its services with the launch of Uzum Tezkor, an express food delivery service. With over 17 million monthly active users—capturing nearly half of Uzbekistan’s adult population—and approximately 16,000 merchants, the startup recorded a gross merchandise value of $250 million in the first half of 2025, marking robust year-over-year growth.

Infrastructure And Local Expertise As Catalysts

Central to Uzum’s accelerated success has been its strategic blend of deep local insights and extensive infrastructure investment. The company has built a formidable logistics network from the ground up, including over 112,000 square meters of operational space and 1.1 million square feet of storage capacity, enabling the processing of more than 200,000 orders daily. Moreover, its expansive network of more than 1,500 pickup points across 450 locations not only streamlines next-day deliveries but also facilitates the distribution of Uzum Bank cards.

Innovative Solutions Driving Future Growth

Uzum’s commitment to innovation is evident in its evolving fintech endeavors. Building on the success of its co-branded Visa debit card, which is set to surpass 5 million issued cards by year-end, the company is poised to launch new deposit products and long-term credit facilities. Simultaneously, it is enhancing its merchant network through advanced QR code payment systems and integrating artificial intelligence across credit scoring, fraud prevention, and personalized user experiences.

Global Investor Confidence And Expansion Plans

The startup’s impressive growth metrics have resonated on the global stage, attracting sustained interest from international investors, including Tencent. With plans to open its e-commerce marketplace to international merchants—beginning with partners in China and Turkey—Uzum anticipates that cross-border activity will contribute 10 to 15 percent of its market engagement. As the company looks to further expand its financial and merchant services, it is also preparing for a Series B round of $250–$300 million in early 2026, setting the stage for a potential public offering in the medium term.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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