Breaking news

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.

AI Spending Is Complicating The Fed’s Fight Against Inflation

Silicon Valley leaders have long argued that artificial intelligence will make technology and services dramatically cheaper. OpenAI CEO Sam Altman has described a future where intelligence becomes extremely inexpensive, while Tesla and SpaceX CEO Elon Musk has predicted that AI and robotics will create greater abundance and drive down costs.

So far, those benefits have yet to materialise at scale. AI adoption remains relatively slow, while the enormous investment needed for data centres and AI infrastructure is putting pressure on electricity prices, supply chains and other costs. For the Federal Reserve, this creates a difficult balancing act: AI could eventually boost productivity and reduce inflation, but its current buildout is contributing to higher prices.

OpenAI chief economist Ronnie Chatterji said AI needs to be adopted by organisations and generate measurable value before its broader economic impact becomes visible in productivity statistics.

AI Adoption Remains Uneven

Capital spending on AI infrastructure in the U.S. is expected to reach $581 billion this year, according to Goldman Sachs Research, with global investment potentially reaching $1 trillion.

Despite the scale of spending, adoption remains far from universal. A May survey by the U.S. Census Bureau found that 17% to 20% of U.S. businesses reported using AI, with adoption significantly higher among large companies.

Companies that have implemented AI at scale also highlight the challenges. Julie Averill, former CIO of Lululemon, said successful deployment requires changes in employee behaviour and trust in the technology. OpenAI has observed a similar divide: its most advanced business users deploy AI at around eight times the rate of average companies.

Why Productivity Gains May Take Time

Economists point to the limits of automation. AI can perform individual tasks effectively, but many jobs combine tasks that are difficult to automate.

Stanford professor Charles Jones refers to these as “weak links”. Radiology, for example, involves interpreting scans but also communicating with patients and working with colleagues. AI can automate part of the job without eliminating the profession itself.

As a result, the full economic impact of AI may not become clear until businesses adopt the technology more broadly and reorganise their operations around it.

AI Adds To The Fed’s Policy Challenge

AI’s economic impact has become part of the Federal Reserve’s policy debate. Fed Chairman Kevin Warsh has argued that AI could eventually become a significant disinflationary force by increasing productivity and strengthening U.S. competitiveness.

Other officials are more cautious. In July, the Fed kept interest rates at 3.5% to 3.75%, while some officials expressed concern that AI infrastructure spending could add to inflationary pressures.

Minneapolis Fed President Neel Kashkari pointed to massive data-centre investment as a new source of demand. Household electricity prices rose 10% in the two years through July, compared with a 6.2% increase in overall consumer prices. Meanwhile, shortages of chips and other AI components are pushing up costs. JPMorgan Chase estimates that DRAM prices could rise 400% by the end of 2026 compared with 2024.

Warsh has consequently adopted a more cautious tone, saying that while AI investment is laying the groundwork for future growth, the timing and scale of its economic effects remain difficult to predict.

For the Fed, the challenge is clear: AI could eventually deliver major productivity gains, but the cost of building that future is already showing up in the economy.

Aretilaw firm
eCredo
Uol
The Future Forbes Realty Global Properties

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter