Commercial adoption gap threatens migration of innovations from accelerating markets in the physical AI race

The technical debate remained confined for years to screens, between chatbots that process text and code-suggesting programming assistants, but the major competition has begun to shift in practice to the physical field. Data from the "Global Startup Trends" report issued by "Amazon Web Services", after a survey of 4,420 early-stage technology companies in twenty countries, shows that 15 percent of those companies, about 663 firms, are now developing "physical artificial intelligence" technologies. These systems aim to enable machines and robots to perceive their real-world surroundings, make decisions, and act autonomously within actual work environments, moving beyond merely processing textual data or generating images.

The report classifies Saudi Arabia within the "accelerating markets" block alongside France, Singapore, India, Canada, Australia and Mexico, environments that produce active companies in this field, without providing a separate numeric ranking for the Kingdom or an exclusive share for its firms. However, the paradox we observed in the figures does not stem from an engineering inability to design machines, but collides with the wall of slow commercial adoption; only 26 percent of companies see their local economies ready to deploy these technologies, while 70 percent of developers reported that sluggish customer uptake is the primary obstacle limiting the growth of their businesses.The operational dilemma is no longer in robot manufacturing, but in the market’s readiness to receive it.

This disparity carries a strategic warning for accelerating markets: promising companies may succeed in building advanced products, but they will be forced to relocate their headquarters, functions and tax revenues to other countries if local demand fails to absorb their solutions. Manufacturing and automotive sectors top the list of fields most likely to undergo rapid transformation, at 55 percent, followed by logistics, warehousing and retail at 52 percent, then healthcare at 36 percent, and energy and infrastructure at 30 percent. Field reality confirms that roughly half of companies, 51 percent in manufacturing and 47 percent in logistics, have already reached the commercial deployment stage, using robotic arms on assembly and automated inspection lines, autonomous forklifts, and intelligent systems for sorting shipments and replenishing warehouses.

Unlike pure cloud software, physical AI demands multiplied capital investments and highly sensitive supply chains; testing machines in the real world requires manufacturing costly physical prototypes, which explains why only 46 percent of companies can secure sufficient funding, while only 40 percent consider regulatory frameworks clear enough. Pressures increase as 48 percent of companies report that tariffs and trade barriers restrict their access to essential components, while 20 percent rely on China as a primary external source for their hardware. Although 72 percent of companies depend on the cloud and 62 percent on digital simulation to reduce testing costs, 56 percent confirm that limited computing capacity slows the development of their businesses.

This shift directly impacts the labor market; although 70 percent of companies expect the technology to create more jobs than it eliminates, and 86 percent plan to increase their staff within two years, 59 percent of those jobs are concentrated in precise engineering and technical specialties.Physical automation creates new career paths, but at the same time imposes strict requirements on the type of skill needed.48 percent of companies struggle to recruit robotics and mechatronics engineers, 40 percent face difficulty hiring electronics engineers, while the greatest demand is for maintenance and repair technicians at 52 percent, robot operators at 50 percent, and system integration specialists at 48 percent.

What does this mean for those managing logistics operations, a manufacturing plant, or a distribution network in the Gulf, Egypt and the region? The existing gap today is primarily regulatory and operational. If you run an industrial facility, relying solely on purchasing ready-made standalone equipment without training internal staff capable of maintenance and system integration will place your business at the mercy of external operating costs and complex supply chains. Achieving economic viability requires following the four pathways outlined by the report: launching live pilot projects to test field efficiency, retraining technical staff on equipment integration, leveraging experimental regulatory environments, and directing government procurement to create early demand that stimulates the private sector and anchors innovators locally.

76 percent of participating companies expect physical AI technologies to become commonplace in their sectors within five years. The true competition in our region will not be measured by the number of imported digital models, but by how ready factories and warehouses are to absorb smart machines on the ground and turn them into lasting productive value.