Tech
Uzbekistan Unveils Major Incentives to Attract €85 Million in AI and Data Infrastructure Investment
Uzbekistan has announced a package of incentives to attract over €85 million in foreign investment for artificial intelligence (AI) and data infrastructure projects, with most developments planned for the country’s northwestern region of Karakalpakstan. The initiative, introduced through a presidential decree, is part of a broader strategy to build a fully integrated AI ecosystem by 2030.
The programme offers investors significant tax breaks, access to low-cost electricity, and support for renewable energy adoption. Companies will be required to commit their own capital while implementing energy-efficient solutions, including battery storage and low-water or water-free cooling systems. These measures aim to ensure sustainable operations while mitigating environmental pressures in a region long affected by the Aral Sea crisis.
Karakalpakstan, an autonomous region, has experienced severe environmental challenges following the shrinkage of the Aral Sea, including increased salinity, dust storms, and the exposure of the former seabed. Officials see high-tech and AI projects as a way to boost economic resilience, create jobs, and attract investment while revitalizing the local economy.
Kamola Sobirova, Advisor to the Minister of Digital Technologies, highlighted the region’s advantages for data centres, including abundant electricity, relatively cool temperatures averaging 12–14°C, and land availability suitable for large-scale infrastructure. The area also offers logistical benefits as a western gateway to Kazakhstan and access to the Trans-Caspian corridor, facilitating the export of AI computing power, cloud storage, and big data services.
The initiative is designed to integrate new projects into the broader technology ecosystem rather than creating isolated industrial sites. Project proposals will be assessed based on export potential, employment and training opportunities for local specialists, reliance on renewable energy, and operational stability. Authorities will also consider innovative solutions such as reusing residual heat from data centres for greenhouse agriculture or community development.
The AI and data infrastructure programme forms part of Uzbekistan’s national strategy to become a regional hub for digital technologies. According to government reports, the country has risen 17 places in the AI Readiness Index 2024, now ranking 70th out of 188 countries. By 2030, Uzbekistan aims to attract over €860 million in foreign investment, develop more than ten AI laboratories in partnership with academic institutions, and launch over 100 AI-based projects.
The strategy includes expanding technology clusters linking universities, start-ups, and industry, while integrating renewable energy to reduce emissions. The government projects IT service exports could reach €4.3 billion by 2030, positioning Uzbekistan as a competitive player in the global technology market.
Officials hope the incentives will not only accelerate the country’s AI ambitions but also drive socio-economic growth in Karakalpakstan, creating skilled jobs, supporting local industries, and strengthening Uzbekistan’s digital infrastructure for the coming decade.
Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
Tech
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