Efficiency Built the Middle East’s First Wave of Cloud Adoption. Risk is Shaping the Next

The Cabinet has approved a national framework targeting 50% deployment of agentic AI across services, operations, and workforce development.

The push for control, flexibility, and sovereignty is redefining cloud strategy.

As enterprises turn to algorithmically generated data to sustain AI development, a second-order problem is emerging — one that threatens model accuracy, regulatory compliance, and strategic differentiation.

The companies have also unveiled the first commercial Quantum Computing as a Service platform in the Middle East.

After weeks of testimony, jurors concluded Musk brought his challenge to OpenAI’s restructuring too late.

Beyond financial systems, Mythos is also exposing weaknesses in the security architectures relied upon by some of the world’s largest technology companies.

The new policy reinforces that authors remain fully responsible for the integrity of their work, even if parts of it were AI-generated.

Dr. Hakim Hacid, Chief Researcher at TII’s AI and Digital Science Research Center, argues that AI’s future will be defined not by model size alone, but by cultural authenticity, accessibility, openness, and real-world value.

As AI advances both cybersecurity and cyberthreats, OpenAI has also found itself in the middle of a security issue.

Nearly a third of developer time is now consumed by invisible work, such as reviewing AI-generated code, fixing bugs, and context-switching between tools.