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Google Launches Largest AI Initiative In The MENA Region

Introduced in Dubai, the program focuses on AI skill-building, funding, and infrastructure, aiming to unlock $320 billion in growth.

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google launches largest ai initiative in the mena region
Google

At the AI Connect event in Dubai, which saw participation from Omar Sultan Al Olama, UAE Minister of State for AI, as well as other regional leaders and entrepreneurs, Google introduced its AI Opportunity Initiative for the Middle East and North Africa (MENA).

The program is the most extensive AI endeavor in the region and is aimed at expanding access to essential AI skills, research funding, and AI-driven products.

Google.org, the company’s philanthropic division, will allocate $15 million from this year through to 2027 to regional organizations. The funding is intended to broaden AI’s reach, ensuring it supports diverse communities across MENA and includes resources in skill development, research, infrastructure, and product launches in Arabic:

  • AI Skill Development: Google is committed to making AI education inclusive and widely available. New educational programs are being launched, focusing on providing an AI Curriculum in Arabic, along with support for underserved communities. In addition, an AI safety education program for young people (ages 11-14) will be funded via a grant to the Raspberry Pi Foundation.
  • AI Research & Local Solutions: Since 2005, Google has invested over $400 million globally in research. In the MENA region, Google is supporting local institutions through the startup accelerator startAD to develop AI applications supporting healthcare, education, and climate.
  • AI-Powered Tools In Arabic: Google’s Gemini, an AI-powered assistant that understands over 16 Arabic dialects, launched in July 2023. New Arabic features include personalized guidance in learning and career advice, plus language-specific conversational and image-generation tools.
  • Infrastructure Investment: Google has reasserted its commitment to cloud infrastructure in MENA, with data regions in Saudi Arabia, Qatar, and Kuwait. A partnership with Saudi Arabia’s Public Investment Fund (PIF) will support this effort with an AI hub to expand AI research and to boost digital skills for regional job growth.

Also Read: Wa’ed Ventures Pledges $100M For Early-Stage AI Startup Funding

Commenting on the project, Ruth Porat, President of Alphabet and Google, stated, “Google’s long-standing investments in the Middle East and North Africa have helped equip people and organizations with the connectivity, innovation, and skills required to thrive in the global digital economy”.

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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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