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Amazon Doubles Down on AI, Plans to Spend $100 Billion by 2025

Amazon is making an aggressive push into artificial intelligence, planning to ramp up its capital spending to $100 billion next year as it races to keep up with rivals in the AI boom. The massive investment will largely go toward expanding data centers, networking infrastructure, and AI-driven hardware to support the growing demand for generative AI services.

AI Arms Race: Amazon Vs. Big Tech

The planned $100 billion spend surpasses Amazon’s $83 billion investment in 2023 and aligns with CEO Andy Jassy’s previous forecast that AI growth would drive a sharp increase in capital expenditures. Amazon has already launched a suite of AI products, including its Nova model series, Trainium chips, and Bedrock marketplace for third-party AI models.

“In the fourth quarter, we spent $26.3 billion on capital expenditures, and I think that’s a reasonable benchmark for 2025,” Jassy told investors during the company’s latest earnings call. “The majority of that spending is going toward AI investments for Amazon Web Services (AWS).”

AI Spending War: The Competition Heats Up

Amazon’s spending spree puts it in direct competition with Alphabet, Microsoft, and Meta, which are also pouring billions into AI infrastructure:

  • Alphabet expects to invest $75 billion in AI development this year.
  • Microsoft plans to spend $80 billion in fiscal 2025 to expand its AI cloud capabilities.
  • Meta is allocating up to $65 billion for data centers and AI computing power.

Investor Concerns & Market Reactions

Despite Amazon’s ambitious AI push, the company’s latest earnings report disappointed investors, with weaker-than-expected sales projections sending shares down more than 4% in after-hours trading.

Jassy, however, remains confident, calling AI a “once-in-a-lifetime business opportunity.” He reassured investors that these high upfront costs would translate into long-term value, not just for Amazon’s AI efforts but also for improving its retail logistics and customer experience.

Rising Competition & Market Disruptions

Amazon’s spending strategy comes amid growing scrutiny of AI investments, especially after Chinese startup DeepSeek shook the market by developing a competitive AI model in just two months for under $6 million. The news sent shockwaves through the industry, wiping out $800 billion in market value from chip giants like Nvidia and Broadcom.

With AI development accelerating at a breakneck pace, Amazon and its competitors are betting that their massive investments will secure a dominant position in the future of AI. Whether investors will remain patient as costs soar is another question entirely.

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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