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AI In The Music Industry: A Blessing Or A Curse?
Emdee Jabr, Senior Music Producer at Anghami believes the technology can improve workflows, but cautions the replacement of human creativity.
During Riyadh’s recent XP Music Futures conference, delegates and industry thought leaders delved into some fascinating discussions surrounding the future of music production. Of particular interest was the topic of artificial intelligence and how AI tools could be integrated into the creative process of music production in new and innovative ways.
One notable attendee of XP Music Futures was Emdee Jabr, Senior Music Producer at Anghami. The industry professional has over a decade of experience and recently shared his thoughts on the emergence of artificial intelligence technology within the music industry.
Emdee believes that although AI can offer unique possibilities for musicians and producers, such as automated composition and intelligent sound processing, it lacks emotional depth. However, the Anghami producer does acknowledge that AI can significantly accelerate production workflows.
“[AI can help by] automating tasks, improving efficiency, and providing data-driven insights. However, it faces challenges in replicating human creativity, making it crucial to strike a balance between automation and human intuition to achieve a successful and innovative outcome”.
Although it’s clear that AI can work as a powerful production assistant, it seems to Emdee and other professionals that its full integration into the creative process is still very much a work in progress. The technology also raises several legitimate concerns.
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“On the negative side of AI, concerns arise regarding job displacement, potential homogenization of artistic expression, and the risk of over-reliance on technology, potentially diluting the human touch and intuition in art. The key is finding a balance that maximizes the benefits while preserving the unique aspects of human creativity”.
As a music producer, it’s clear that Emdee Jabr sees AI as a tool still in its beginning stages. The producer is keen to emphasize the importance of utilizing human creativity and using AI for inspiration rather than entirely replacing songwriters, musicians, and producers.
News
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.
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.
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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.
