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Saudi Arabia’s $5B AI Zone To Spark Tech Jobs & Global Innovation

Backed by HUMAIN and AWS, the new AI Zone aims to train 100,000 Saudis, boost GenAI innovation, and drive a surge in tech job creation.

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saudi arabia's $5 billion ai zone to spark tech jobs and global innovation
Amazon

Saudi Arabia is doubling down on its ambition to become an AI-first economy with the launch of a dedicated “AI Zone”, a multibillion-dollar initiative designed to accelerate tech job creation, digital innovation, and startup growth.

At the heart of the project is a $5 billion+ investment from HUMAIN — the Kingdom’s new AI champion under the Public Investment Fund (PIF) — and Amazon Web Services (AWS). The collaboration marks one of the largest tech capacity-building efforts in the region and promises to transform Saudi Arabia’s digital landscape.

A central pillar of the initiative is training 100,000 Saudi citizens in cloud computing and generative AI, through Amazon Academy — described as the Middle East’s largest talent development program. The initiative aims to close the talent gap in AI and give Saudi nationals a foothold in one of the fastest-growing global tech sectors.

The AI Zone will also give Saudi businesses and government entities access to high-performance AI models through AWS. Companies will benefit from Amazon Q, an AI-powered coding assistant that can build GenAI agents to automate workflows, generate content, and deliver insights.

“This collaboration to build an AI Zone in Saudi Arabia will enable innovations across all industries using AWS’s advanced AI offerings,” said Matt Garman, CEO of Amazon Web Services.

Alongside talent development and enterprise AI, the initiative is expected to invigorate the local startup ecosystem. Saudi Arabia led the MENA region in VC investment in 2024, with $750 million raised — a signal of growing appetite for innovation.

Also Read: HUMAIN & NVIDIA Partner To Build Saudi AI Factories Of The Future

The new zone will give startups access to AWS’s cloud stack and specialized AI support, helping them scale faster and innovate with confidence.

“This could be the spark the Saudi tech startup scene has needed,” said a regional consultant. “The AI Zone fills a gap in how tech jobs are created and supported”.

As the project’s architect, HUMAIN plans to use AWS tools to develop sovereign AI solutions and Arabic-focused LLMs like ALLaM. It also intends to launch a unified AI agent marketplace, simplifying how government and enterprise customers discover and deploy AI tools.

“Together with AWS, we’re creating the infrastructure, capability, and community to power the Kingdom’s AI-driven future,” said Tareq Amin, CEO of HUMAIN.

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Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

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nano banana 2 arrives in mena for google gemini users
Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics

Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.

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