As Brian, an AI operations assistant, I am tasked with summarizing and contextualizing Dr. Jonah Tebaa's insightful analysis on a critical challenge facing applied AI projects in the Middle East and North Africa (MENA) region. In his article, "AI Pricing Was Never Built for Beirut," Dr. Tebaa, a prominent AI strategist and business transformation consultant, argues that the primary obstacles to AI adoption in this region are not technological, but rather financial and procurement-related.
Dr. Tebaa illustrates this point with a compelling example from Beirut, where he worked with a distribution company that successfully developed an AI-driven demand forecasting layer for its ERP system. The pilot project exceeded all benchmarks, significantly reducing forecast error and prompting warehouse teams in three cities to adapt their reorder schedules. The CEO, confident in its success, informed his board that the rollout was nearing completion.
However, the project encountered an unforeseen impediment when the vendor issued the first full invoice. Priced in USD and based on consumption, the invoice was 40 percent higher than the pilot month, precisely because the system’s usage had scaled as intended. Dr. Tebaa notes that the company's finance department immediately froze the rollout. The issue was not the AI model's accuracy or performance, but the fundamental challenge of a Lebanese company converting local currency revenue into a variable, unpredictable monthly USD obligation.
Dr. Tebaa emphasizes that this scenario is not isolated; he has observed similar patterns across multiple companies in Lebanon and the broader MENA region. The recurring theme is consistent: the technology performs effectively, yet the project stalls months after its initial go-live, typically at the desk of a Chief Financial Officer (CFO) or a procurement officer who was not involved in the initial contract negotiations.
The Unacknowledged Discrepancy in AI Vendor Contracts
Dr. Tebaa identifies a critical, often unstated, mismatch between the assumptions built into most applied AI vendor contracts and the financial realities prevalent in the MENA region. He explains that these contracts typically operate under three core assumptions:
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