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Nvidia Faces Historic Market Loss As DeepSeek Dents Confidence In AI’s Future

Nvidia experienced the largest single-day market cap drop in history on Monday, as its stock tumbled by 17%, shedding nearly $600 billion in value. This staggering loss is directly linked to a new development in the AI space—DeepSeek, a Chinese AI firm that unveiled its version of ChatGPT, raising concerns over the cost-efficiency and competitive positioning of U.S. AI companies.

Key Details

Nvidia’s shares experienced a severe decline, marking its worst daily percentage drop since March 2020, during the initial shock of the COVID-19 pandemic. On Monday, Nvidia lost a record-breaking $589 billion in market capitalization, more than doubling the previous one-day loss of $279 billion in September 2024. To put it into perspective, this is significantly more than Meta’s $251 billion market cap loss in February 2022.

As a result, Nvidia’s market valuation dropped from $3.5 trillion to $2.9 trillion, slipping behind Apple and Microsoft as the world’s most valuable company. Nvidia’s dramatic fall led a broader retreat in U.S. stocks, with the S&P 500 losing 1.5% and the Nasdaq dropping 3.1%. Other major players in the AI industry, such as chipmakers Arm and Broadcom, alongside Oracle, saw their stocks plummet by at least 10%.

The DeepSeek Effect

The cause of Nvidia’s catastrophic loss lies in DeepSeek’s release of its large-language model, which has cast doubt on the continued dominance of U.S. companies in generative AI. Initially, this might not seem like a negative development for Nvidia, as DeepSeek’s model was also powered by Nvidia’s powerful graphics processing units (GPUs), just like many other AI technologies. However, DeepSeek revealed that it spent just $5.6 million on Nvidia’s technology to develop its model. While experts believe this figure is likely a significant underestimation, it still calls into question the very foundation of Nvidia’s meteoric stock rise.

In recent years, Nvidia’s profits have skyrocketed, with projections indicating net profits could soar from $4.8 billion in 2022 to $66.7 billion in 2024, largely due to the soaring demand for its high-priced GPUs, which can cost up to $25,000 each. U.S. tech giants such as Meta, Tesla, and OpenAI have been among Nvidia’s biggest customers. However, if companies like these can replicate DeepSeek’s cost-efficient approach by using cheaper GPUs, Nvidia could face significant challenges in maintaining its market dominance.

As Ed Yardeni of Yardeni Research pointed out, this shift could be an unwelcome development for Nvidia.

Surprising Statistic

Nvidia’s near-$600 billion market cap loss on Monday exceeds the market values of all but 13 American companies, surpassing industry giants like UnitedHealth, Exxon Mobil, and Costco.

CEO’s Losses

Nvidia CEO Jensen Huang saw his wealth take a massive hit, losing $21 billion in a single day. His net worth dropped from $124.4 billion to $103.1 billion, according to Forbes estimates. Huang remains the largest individual shareholder in Nvidia, owning a 3% stake in the company.

Nvidia’s colossal market cap loss highlights the growing uncertainties in the AI sector, as DeepSeek’s cost-effective alternative to American AI models threatens to disrupt the industry’s balance. With AI becoming an increasingly competitive and global field, Nvidia’s future may hinge on how it adapts to these emerging challenges.

Cyprus Opens Draft AI Strategy With 3,000-Professional Target By 2032

Cyprus has released its draft National Artificial Intelligence Strategy for 2026–2032, setting out eight priority sectors, plans to select six national “moonshots” from 16 transformation programmes and a new framework for AI governance. The strategy proposes expanding AI adoption across government, business and research while building a pool of around 3,000 AI professionals by 2032. A public consultation on the draft is open until August 31.

Cyprus is starting from a relatively low level of AI adoption. According to the draft, 9.27% of Cypriot enterprises used AI in 2025, compared with an EU average of 19.95%.

“Yes, we are behind, and we need to catch up,” said Demetris Skourides, Cyprus’ Chief Scientist for Research, Innovation and Technology, during a recent presentation led by TechIsland.

Beyond increasing adoption, the strategy aims to position Cyprus as a trusted AI hub in the Eastern Mediterranean, an EU jurisdiction for AI services and a link between Europe and neighbouring regions. Its eight objectives include improving productivity, developing an inclusive AI ecosystem, transforming public services, strengthening AI skills and infrastructure, and establishing stronger governance and accountability.

The Eight Sectors Targeted For AI Adoption

The draft identifies eight areas where AI could deliver significant economic or public value.

Government and public services could use AI for administrative processes, citizen services and policy decisions, including virtual assistants, automated document processing, fraud detection and predictive analysis.

Finance and fintech are expected to benefit from applications in risk assessment, compliance, fraud prevention and personalised services. The strategy also proposes controlled testing environments for regulated AI products.

Healthcare and life sciences could use AI to improve coordination, support diagnosis, plan resources and advance research, subject to data protection, clinical governance and human oversight.

Tourism and hospitality are identified as another major opportunity, with potential applications including demand forecasting, visitor services, destination management and personalised travel experiences.

For the legal sector, the strategy highlights document analysis, research, case management and regulatory compliance, alongside safeguards for sensitive information.

Education and human capital would focus on personalised learning, digital skills and better monitoring of labour-market needs.

Shipping and maritime services could use AI for route planning, operational efficiency, maintenance, safety and environmental monitoring, building on Cyprus’ existing international presence in the sector.

Finally, entrepreneurship and innovation would receive support through access to testing facilities, expertise and funding for start-ups, researchers and companies developing AI products.

According to Skourides, five sectors are expected to form the first phase of the rollout: finance, tourism, legal services, healthcare and shipping.

For businesses, the proposed opportunities include sector-specific sandboxes, testbeds, funding mechanisms and shared computing infrastructure. Planned public-sector projects could also create opportunities for technology providers and other suppliers, although the draft does not yet define participation terms.

Six National “Moonshots”

The National AI Taskforce has identified 16 potential transformation programmes, with six expected to become national “moonshots” by 2032.

The proposed areas include healthcare coordination, government services, fraud detection, maritime operations, tourism demand forecasting and labour-market knowledge. The aim is to concentrate resources on a smaller number of projects with nationwide impact.

The final six have not yet been selected. According to the strategy, programmes will be assessed based on their potential impact on citizens and businesses, feasibility and expected value.

Large national projects could also create opportunities for technology companies, universities, professional services firms and sector specialists. Their commercial impact will depend on procurement rules, available budgets and the extent to which local companies can participate.

A New Framework For Public-Sector AI

Governance is a central part of the proposal. The draft calls for a National AI Authority to coordinate implementation, monitor compliance and oversee national priorities, alongside an Interministerial AI Council and AI officers or champions within ministries and public bodies.

Other proposed structures include a Government Innovation Hub, centres of excellence for industrial AI and cybersecurity, an AI Skills Observatory, regulatory sandboxes and technical testing facilities.

A shared national infrastructure would also give public bodies, researchers and companies access to computing capacity, cloud services, secure data environments and common AI tools.

The strategy proposes common standards for acquiring, testing and monitoring AI systems. Public bodies would be expected to assess risks, protect personal data and retain human responsibility for consequential decisions.

Some details remain open, including which institution would take on the proposed National AI Authority and how the various councils, hubs and centres would work together.

Building A 3,000-Person AI Talent Pool

Cyprus aims to develop around 3,000 AI professionals by 2032 through new university programmes, professional training, reskilling initiatives and measures to attract specialised talent.

The strategy also recognises that AI skills will be needed beyond technical roles. Public officials, managers, educators, lawyers and professionals in priority sectors will need sufficient knowledge to commission AI systems, assess risks and use the technology responsibly.

A proposed AI Skills Observatory would monitor labour-market demand and help align education and training with employers’ needs.

What Remains To Be Decided

While the draft sets out an extensive programme of infrastructure, training, governance and sector initiatives, several implementation details remain unresolved. The strategy refers to national and European funding sources, but does not yet provide a consolidated budget for individual measures. Timelines also overlap, while responsibilities for some actions have yet to be clearly assigned.

Adoption targets will also need clarification. The draft refers to 50% adoption across government and priority sectors by 2032, a 75% industry target by 2030 and a separate 75% target for government and the public sector by 2032. The document also estimates a potential productivity gain of up to 15%. This represents a projected scenario dependent on investment, adoption and effective implementation rather than a guaranteed economic return.

These gaps make the consultation particularly important, as businesses, researchers and the public can comment on funding, accountability, targets, procurement and access to the proposed programmes.

The public consultation is open until August 31, 2026, at 23:50. Contributors are asked to identify the relevant section of the strategy, submit a comment or recommendation and explain their reasoning.

Comments can be submitted through the Cyprus government’s e-consultation portal.

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