The UAE’s Mohamed bin Zayed University of Artificial Intelligence has released K2 Think V2, a 70-billion-parameter reasoning system designed to give the country full control over its AI data, training, and evaluation pipeline.

In Dubai, Nutanix CEO Rajiv Ramaswami outlined how AI, infrastructure risk, and sovereignty are reshaping enterprise technology decisions.

A new partnership between Inception and Visa explores agent-driven commerce inside regulated payment networks, raising questions about trust, control, and accountability.

Dubai-based legal tech startup Qadi has partnered with Core42, a G42 company, to run its regulatory compliance platform on sovereign cloud infrastructure, keeping data, AI training, and compute fully within UAE jurisdiction.

The new centre expands Abu Dhabi’s role in global technology governance, focusing on AI, cryptography, and autonomous systems as regulation struggles to keep pace.

Launched at Davos, a new whitepaper argues that regulation must become more adaptive, using AI and data, with Presight contributing to the design of the framework.

The new centre will advance research, policy and deployment across quantum computing, robotics, space technologies and related AI applications.

The partnership embeds OpenAI’s latest models inside the software that runs daily operations at large companies, signalling a shift from AI experiments to infrastructure.

Announced at Davos, the partnership reflects a broader strategy to position Abu Dhabi as a global hub for applied AI systems that can operate at national and enterprise scale.

Forecast upgrades are being powered by data centres, chips, and cheap-ish money. Inside companies, AI is still failing to turn into measurable profit for most executives.

New Adobe research shows Middle Eastern enterprises have largely solved for cloud and AI adoption. The harder problem is turning that infrastructure into integrated execution and measurable business impact.

As AI demand surges, technology companies are signing nuclear and energy deals that expose a deeper truth: growth now depends on infrastructure, politics, and who controls electricity.

Data centres are becoming a major new electricity load as AI scales, forcing governments and utilities to rethink grid investment, efficiency standards and the pace of renewable build-out.

Global semiconductor revenue climbed 21% to $793.4 billion in 2025, as the AI infrastructure boom pushed Nvidia past $100 billion in chip sales and turned high-bandwidth memory into the market’s new battleground, according to preliminary figures from Gartner released on January 12, 2026.

From the US to Europe and the Gulf, AI investment is surging, but questions remain about monetisation, risk and who ultimately bears the cost.

Microsoft Report Shows 64% of the UAE Uses AI, Representing the World’s Most Advanced AI Adoption System

At CES in Las Vegas, Jensen Huang didn’t just unveil “Rubin.” He reframed Nvidia as the company selling rack-scale AI factories — chips, networking, security and software bundled into one system — because the next fight is about inference cost, power, and control of the full stack.

The UAE-based AI firm and hybrid cloud provider say the new platform will let governments and large enterprises deploy “sovereign” generative AI inside their own infrastructure, keeping sensitive data on-premise.

Nvidia’s biggest investments last year were not about faster chips or higher growth. They were about preventing loss of power as AI inference overtook training and infrastructure economics began to shift.

Meta’s acquisition of Manus, an AI agent startup with more than $120m in annual revenue, signals a shift in the AI race away from models and toward execution and monetisation.