The new benchmark of power in the age of artificial intelligence shifts from consuming model outputs to steering them

Today, artificial intelligence is reshaping the concept of economic value at a speed unprecedented in modern economic history, shifting the center of gravity from the ownership of land, then industrial capital, and later data and information, toward a more delicate benchmark: the ability to steer and calibrate intelligent systems rather than merely consume their end outputs. This shift transfers control over global wealth and influence to entities and institutions capable of training frontier models and programming their behavior, while placing all other actors, whether states, corporations, or individuals, in the category of dependent users, regardless of how intensively they deploy off-the-shelf tools.

Algorithms have ceased to be mere execution tools, becoming full partners in decision-making within boardrooms, research laboratories, and corporate planning departments.This qualitative shift demands a reconsideration of conventional studies that limit technology's impact to simply tallying threatened jobs, calling instead for a focus on preserving the centrality of human judgment at a time when people share high-stakes decision-making with software systems that, by their nature, bear no ethical or legal liability for their errors and deviations.

Conversely, real-world evidence does not support pessimistic forecasts that assume the inevitable disappearance of jobs; instead, it reveals the rise of an entire ecosystem of emerging specializations required to build and operate the infrastructure for these systems. Leading these roles are data engineering tasks focused on regulating and curating input quality, model alignment experts tasked with structuring prompts and contexts to extract maximum system efficiency, and ethics auditors responsible for reviewing outputs and ensuring safety, as increasingly complex systems require discerning human oversight to catch deviations before they take effect in practice.

This restructuring is not confined to specialized technical elites, but extends to open new horizons in support services that require authentic human sensitivity.As human intervention recedes across routine, repetitive procedures, the need for human talent grows at complex touchpoints, such as handling difficult cases whose cultural or psychological nuances algorithms fail to grasp, and designing interactive experiences that prevent users from feeling alienated, domains that require moral judgment and genuine empathy that models cannot replicate.

For institutions and companies across the Gulf, Egypt, and the Levant, this transformation compels a tangible shift in digitalization strategies and resource management. Investment is no longer confined to purchasing subscriptions for pre-built models or integrating their cloud APIs; the real challenge now lies in building local teams proficient in context engineering and model steering tailored to the region's cultural and regulatory specificities, alongside creating ethical auditing and governance roles within banks and government bodies to ensure decision-making does not become subordinate to closed, external software.

Treating this technological trajectory as an inevitable fate imposed from abroad is the most perilous approach, as these shifts remain the product of economic and political choices that can be managed and directed. Possessing the capacity to control and steer artificial intelligence is the benchmark that will determine the future distribution of wealth and opportunity. This places a responsibility on policymakers and educational systems to prepare generations that understand the internal logic of models and hold the reins of their direction, while concurrently developing governance frameworks that prevent the concentration of this power among a small circle of global actors.