The agentic divide is not a binary of AI haves and have-nots. It is a spectrum of reliability, and MENA creators are already feeling the squeeze from both ends.
As Nick Srnicek, senior lecturer in digital economy at King’s College London, told Rest of World, agentic inequality can harden into systems of dominance. The mechanism is subtle. Access to a base model is not the same as access to a reliable agent. Matthew Sharp, a research affiliate at the Oxford Martin AI Governance Initiative, told Rest of World that every layer above the model — scaffolding, tool integration, security, workflow design, supervision — reintroduces skill and capital barriers. A creator in Cairo with a free ChatGPT account and a creator in Riyadh running a custom agent stack are not playing the same game. The gap compounds in MENA because the platform landscape is fragmented. A creator who needs agents that work across Anghami, Yango, and regional payment rails faces integration costs that a US creator with a unified API ecosystem does not.
The good enough trap
Smaller creators using free or cheap AI tools remain stuck in low-revenue loops. Those tools lack the reliability and integration to replace human labor. A creator spending hours manually editing captions, scheduling posts, and managing DMs cannot scale. The time saved by a free tool is marginal. The time saved by a premium agent is transformative.
Raman Choudhary, founder of DentNode in Bengaluru, told Rest of World that his agentic workflow costs just a few hundred dollars a month. It replaces at least one engineer, a part-time researcher, and a content or marketing hand — roles that would cost 1.5 million to 2.5 million Indian rupees ($15,700–$26,000) per year. That is the premium tier. A creator who cannot afford the few hundred dollars a month does not get the leverage. They keep doing the work themselves, or they hire cheaply and manage poorly. The gap widens with every month the premium agent runs.
McKinsey said in a report last year that AI-powered agents and robots could generate about $2.9 trillion in economic value per year in the U.S. by 2030. That value will not distribute evenly. The creators who capture it will be the ones who already have the capital to deploy agents at scale.
Regional platforms: bridge or barrier?
MENA platforms such as Anghami, a music streaming platform founded in 2012 in Beirut, and Yango, a ride-hailing and tech services company owned by VK operating across the UAE, Egypt, and Morocco, sit at a critical juncture. They could embed agentic tools into their creator-facing products, democratizing access. Or they could reserve premium agent features for top-tier creators, deepening the divide.
The available reporting does not specify what AI offerings these platforms have deployed for creators. The question is one of platform design. Anghami could build an agent that helps independent musicians schedule releases, optimize metadata, and analyze streaming data across the region’s fragmented charts. Yango could offer delivery creators an agent that optimizes route planning and customer communication. If those tools are free or low-cost, they narrow the gap. If they are locked behind revenue thresholds or subscription tiers, they widen it.
Access to a base model is not the same as access to a reliable agent. Every layer above the model reintroduces skill and capital barriers.
The labor dimension
The agentic divide is not just a tech gap. It is a labor dispute. Creators are workers whose output is being augmented — or replaced — by AI agents. Globally, workers are beginning to demand a share of the value those agents generate.
Adrian Brown, chief executive of Windfall Trust think tank, told Rest of World that the Samsung dispute is not a conventional wage negotiation but one of the most significant labor actions we have seen, and that globally workers are beginning to make the same claim: a rightful share, grounded in contribution. Samsung Electronics averted a walkout by nearly 48,000 workers in May 2026 after executives agreed to a tentative deal that abolished a cap on bonuses, linked bonuses to operating profits, and set aside about 10.5% of operating profit for special bonuses for the chip division. The deal is a template. Workers who contribute to AI-driven productivity gains are demanding a cut.
The creator economy has no equivalent structure. There is no union, no collective bargaining agreement, no profit-sharing mechanism. The Bloomberg Billionaires Index showed that last year 29 founders minted fortunes worth a collective $71 billion, and over the past year U.S. startups alone have created 19 billionaires worth a combined $59 billion. That wealth came disproportionately from AI. Creators who generate the content that trains and tunes these systems see none of it.
The collective path
MENA creator collectives can pool resources to access premium AI agents. A group of ten mid-tier creators could split the cost of a shared agent stack that handles scheduling, analytics, and brand-deal matching. A regional MCN could negotiate bulk access to agent tools from platforms like Anghami or Yango. A cooperative model could give smaller creators the leverage that individual budgets cannot.
No documented examples of this exist yet. The strategy is speculative. But the logic is clear. The agentic divide will not close through market forces. It will close through organization. The creators who form collectives, negotiate collectively, and demand a share of the value their work generates will be the ones who survive the divide.
The alternative is a market where a handful of well-capitalized creators scale with premium agents while everyone else competes for scraps with free tools that are just good enough to keep them trying.