A company in Riyadh can buy access to many of the same leading commercial models as a company in London. Local compute changes capacity and control, and early access to new hardware affects cost and timing. I think the more durable advantage appears in the distance between a decision and deployment. Leadership has to decide where AI will be used and commit resources with clear delivery authority.
The UAE launched a national AI strategy in 2017. That October it appointed His Excellency Omar Sultan Al Olama, Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, to the artificial intelligence portfolio. In 2019, Abu Dhabi established Mohamed bin Zayed University of Artificial Intelligence, and Saudi Arabia established the Saudi Data and AI Authority by royal decree.
OpenAI announced Stargate UAE in May 2025 as the first partnership under OpenAI for Countries. The project includes a planned one gigawatt cluster in Abu Dhabi, with the first 200 megawatts targeted to go live in 2026. Also in May 2025, Saudi Arabia launched HUMAIN under the Public Investment Fund. His Royal Highness Prince Mohammed bin Salman bin Abdulaziz Al Saud, Crown Prince and Prime Minister of Saudi Arabia, chairs the company, which was created to work across data centers, cloud systems, models and applications. I think projects at this scale give suppliers a reason to commit scarce hardware and experienced teams early.
In April 2026, His Highness Sheikh Mohammed bin Rashid Al Maktoum, Vice President and Prime Minister of the UAE and Ruler of Dubai, announced a program aiming to apply agentic AI across 50 percent of UAE Government sectors and services within two years. His Highness Sheikh Mansour bin Zayed Al Nahyan, Vice President, Deputy Prime Minister and Chairman of the Presidential Court, will oversee implementation. The program builds on twenty years of government digitization, including UAE Pass, and commits to continuous specialized training for federal employees. By April 30, the Federal Tax Authority had been directed to begin preparations under the program.
The European Commission proposed the AI Act in April 2021. The European Parliament and Council reached political agreement in December 2023, and the law entered into force on August 1, 2024. Its requirements have come into effect in phases, with parts of the high risk timetable extending into 2027 and 2028. Regulators and companies have been building the guidance, supervision and internal controls needed to apply it.
Writing a common rule for 27 member states requires agreement across national governments and European institutions. The process also has to protect rights and give companies a consistent standard across the union. Europe has chosen to settle those questions before every covered use reaches the market. The resulting legal baseline can travel across the single market. Reaching it takes negotiation across governments and time for companies to adapt. That choice creates regulatory legitimacy, with a longer interval between the original proposal and full application.
American companies move quickly to build frontier models and deploy them commercially, backed by deep private investment. Public agencies operate through a more distributed system. In September 2025, the Government Accountability Office reported 94 government wide AI requirements and ten executive branch oversight or advisory groups as of July 2025. A separate GAO review found that officials at ten of twelve selected agencies said existing federal policy could present obstacles to adopting generative AI. These findings describe public implementation rather than the pace of American technical development.
In March 2026, the White House proposed uniform national legislation in response to conflicting state laws. Congress still has to turn that proposal into law. Federal agencies also remain responsible for applying government wide requirements inside their own missions, while states retain their own policy roles. Each institution has its own mandate and accountability, so national direction does not automatically become a shared delivery calendar. American public deployment can therefore cross Congress, the executive branch, individual agencies and state governments before a common position becomes an operating service.
Once implementation starts, every ministry or company needs suitable data and permissions. People inside have to redesign the process, decide where a person remains responsible and handle exceptions. These are the same delivery tasks in every region. Shared infrastructure can reduce the setup burden, while training can help employees take ownership. A clear national mandate lets that work begin sooner. Results then depend on the people who understand the service and will run it after a supplier leaves.
Europe uses a longer process to establish common rules across a political union. The United States moves quickly through private companies while public deployment crosses more institutions. GCC governments can often move policy and funding together with delivery authority, which shortens the interval between a national decision and the first operating cycle. I think that gives the region more time to learn from real services and improve the next deployment.