Workforce development is being integrated with regulation, governance and economic diversification
The UAE is embedding artificial intelligence literacy into its national development strategy to strengthen economic competitiveness, prepare its workforce for technological change and support the responsible adoption of AI, according to a new Coursera report.
The country has developed one of the Middle East’s most comprehensive and action-oriented AI frameworks, integrating skills development with regulation, governance and economic diversification.
Initiatives including the UAE National Strategy for Artificial Intelligence 2031 and the UAE Charter for the Development and Use of Artificial Intelligence demonstrate the country’s regulatory maturity and readiness, the report said.
The UAE AI Charter identifies increasing public awareness and education about artificial intelligence as one of its primary objectives. It also emphasizes ethical use, privacy, data security, transparency, accountability and equitable access to technological advances.
GCC regulation examined
Coursera’s report, Navigating GCC AI Regulation, examines the developing regulatory landscape in the UAE, Saudi Arabia, Qatar, Bahrain and Kuwait.
It identifies a distinctive regional approach in which AI literacy is treated as a strategic pillar rather than an independent skills initiative. Workforce capabilities help organizations comply with governance requirements while developing the expertise required to achieve wider digital transformation objectives.
This differs from many approaches in Europe and North America, where talent development and policymaking frequently progress along separate paths.
The UAE treats workforce AI capability as a measurable national objective and a competitive differentiator directly connected to its economic diversification strategy.
The report is aimed at human resources and learning leaders, digital transformation executives, technology specialists, legal and compliance teams and public-sector decision-makers responsible for preparing organizations for evolving AI requirements.
Skills support compliance
Kais Zribi, Coursera’s general manager for the Middle East and Africa, said successful AI adoption in the UAE fundamentally depends on a workforce equipped to use the technology responsibly.
“With foundational AI proficiency becoming a critical driver for both regulatory readiness and organizational resilience, businesses that proactively prioritize upskilling will be better positioned to navigate evolving regulations, accelerate innovation, and unlock AI’s full value,” Zribi said.
Organizations are increasingly expected to integrate regulatory obligations into their AI systems, operational processes and workforce learning programs from the beginning rather than addressing compliance after deployment.
The report recommends role-based training designed around employees’ responsibilities and their exposure to AI-related risks. Programs should reflect applicable privacy obligations, cybersecurity standards and model-governance expectations.
A technical employee developing AI systems will require different instruction from a human resources specialist, legal adviser, senior executive or customer-service employee using AI-generated information.
Nationwide training expands
The UAE is translating its strategic objectives into nationwide education and workforce initiatives.
Artificial intelligence has been introduced as a subject throughout the public-school system. The curriculum covers students from kindergarten through grade 12, helping learners understand AI concepts, applications, data, algorithms and ethical responsibilities from an early age.
Initiatives such as One Million Prompters and AI for All are also expanding public access to practical artificial intelligence skills.
The AI for All initiative, developed by the UAE Artificial Intelligence, Digital Economy and Remote Work Applications Office with Google, is delivering AI fundamentals training throughout 2026. It targets people of different ages, professions and levels of technical experience.
Public-private partnerships are supporting additional programs intended to equip hundreds of thousands of students, teachers and government employees with practical experience.
Businesses face pressure
The UAE is simultaneously accelerating enterprise adoption through initiatives designed to help private companies transition toward agentic AI over the next two years.
Agentic AI systems can perform connected tasks, make decisions and execute processes with greater autonomy than conventional tools that respond to individual instructions.
Organizations that fail to invest in AI literacy risk widening their internal skills gaps and signaling that their priorities are not aligned with government objectives.
This can carry broader consequences in Gulf markets, where governments act as regulators, investors, major technology buyers and early adopters of AI.
Weak workforce preparedness could affect an organization’s regulatory readiness, eligibility for procurement opportunities and long-term ability to operate competitively.
Companies therefore need to treat employee capability as part of their AI risk-management framework rather than viewing training as a separate human resources responsibility.
Nine practices recommended
Coursera outlines nine practices for building an AI-literate and compliant workforce.
Its recommendations include incorporating AI literacy into governance structures, assessing technology-related risks and employee capability gaps and ensuring that training programs respond to emerging regulations.
Organizations should identify where AI is already being used, which employees interact with the systems and what decisions may be influenced by their outputs. This enables companies to match training with the level of operational, legal and ethical risk attached to each role.
Learning programs should also cover responsible prompting, verification of AI-generated information, protection of confidential data, awareness of algorithmic bias and procedures for escalating problems.
Senior leaders require sufficient AI literacy to oversee investments and governance, even when they are not directly responsible for building or operating the technology.
Emiratization alignment urged
A central recommendation is to align AI training with Emiratization objectives and wider workforce planning.
Connecting AI upskilling with national talent priorities can help companies strengthen government relationships, develop local expertise and generate sustainable commercial value.
This approach can also support Emirati employees’ access to emerging roles across data analysis, cybersecurity, software development, AI governance, digital transformation and technology leadership.
The report emphasizes that AI literacy should not be treated as a one-time certification exercise. Organizations must foster continuous learning because technologies, commercial applications and regulatory expectations are evolving rapidly.
Training content should therefore be reviewed regularly, with employee competencies assessed against changing business requirements and governance risks.
Schools build foundations
The introduction of AI education in public schools creates a longer-term talent pipeline by familiarizing students with the technology before they enter universities or the workforce.
The curriculum began during the 2025–2026 academic year and extends across all public-school stages. It was designed to provide age-appropriate learning covering AI concepts, practical applications, ethics and responsible use.
Early exposure can reduce the gap between basic digital literacy and the more advanced capabilities needed for future employment.
It also supports the National AI Strategy’s objective of attracting and training talent for future technology-enabled jobs.
By combining school education, professional upskilling and public learning programs, the UAE is building AI capabilities across several generations rather than concentrating expertise within a limited group of technical specialists.
Charter guides adoption
The UAE Charter for the Development and Use of Artificial Intelligence was issued in June 2024 to support the objectives of the country’s AI Strategy 2031.
Its seven policy objectives include ensuring ethical and responsible AI, protecting privacy and data security, balancing technological advancement with social values and encouraging innovation and economic growth.
The charter also seeks to increase AI awareness and education, strengthen transparency and accountability and improve the UAE’s international standing in technology and innovation.
These objectives support Coursera’s argument that AI literacy is essential to governance. Employees cannot follow responsible-use principles effectively if they do not understand how the systems operate, where risks arise or when human oversight is necessary.
The charter’s focus on inclusive access also connects AI capability with wider social and economic participation.
Read more: AI use in cybersecurity jumps to 78 percent but governance is falling behind
Agentic transition accelerates
In April 2026, the UAE launched a government framework to introduce agentic AI across 50 percent of federal government sectors, services and operations within two years.
The framework is intended to move government beyond conventional digital transformation toward autonomous systems that can monitor changes, analyze information, recommend decisions and execute connected tasks.
Federal employees will receive continuing specialized training to help them use the systems and participate in the transformation.
The initiative demonstrates why workforce development is becoming more closely connected to government performance. Officials and entities will be assessed partly on their ability to implement agentic AI and develop new working methods around it.
The model combines technological deployment with employee training, process redesign and management accountability.
Private sector included
Dubai subsequently launched a two-year initiative to transition its private sector toward agentic AI.
The program includes specialized training for business councils affiliated with the Dubai Chamber of Commerce. It also calls for incubators supporting agentic AI companies, dedicated investment funds and new opportunities for young entrepreneurs.
The initiative aims to improve business productivity, reduce costs and encourage companies to redesign their operating models using autonomous technologies.
Its training component reinforces Coursera’s finding that organizations cannot capture AI’s economic value simply by acquiring software. Employees must understand how to deploy the systems safely, evaluate their outputs and integrate them into business processes.
AI literacy therefore acts as the link between infrastructure investment, regulatory compliance and measurable productivity gains.
Competitive advantage grows
The UAE’s approach places workforce readiness alongside computing infrastructure, regulation and investment as a core component of national AI competitiveness.
Companies that build role-specific capabilities early may be better prepared to introduce AI products, meet procurement expectations and respond to future regulatory obligations.
Those that delay could face higher compliance costs because governance controls would need to be added after technologies and processes have already been deployed.
The Coursera report consequently recommends a proactive model in which legal, technology, risk and learning teams collaborate from the earliest stages of an AI project.
Continuous workforce development will be particularly important as organizations move from generative tools that produce content toward agentic systems capable of initiating actions.
The UAE’s national roadmap suggests that AI literacy will increasingly influence not only employees’ career prospects but also organizations’ ability to innovate, compete and participate in the country’s digital economy.