linkedin has published its 2026 list of ‘Skills on the Rise’ in the UK, US, Canada, Australia and Singapore, revealing just how fast it’s happening. A.I. The introduction is changing what employers hire for and what professionals add to their profiles.
The annual ranking compares data from December 1, 2024 to November 30, 2025 with the previous year and measures year-over-year growth in both skill acquisition and recruitment success. To rank, your skills must demonstrate sustained growth and meaningful recruiting efforts. Basic digital literacy and overly broad skills are excluded.
Across all five markets, the message is consistent. Employers aren’t just experimenting with AI tools; They are recruiting experts who can deploy, manage, govern and commercialize them.
For EdTech providers and workforce leaders, this is about infrastructure, not hype.
UK: AI adoption meets governance and commercial delivery
In the UK, LinkedIn groups the fastest growing skills into five core areas.
Under AI, machine learning, and generative technologies, there is a growing demand for rapid engineering, chatbot development, large-scale language models, regression analysis, and machine learning operations. The focus is on turning AI systems into easy-to-use and reliable tools, rather than pilots or proofs of concept.
Data strategy and workflow optimization are also accelerating, with an increase in data-driven decision-making, data storytelling, business process automation, process optimization, and workflow management. As AI generates more operational data, employers are prioritizing experts who can interpret and apply it.
The third cluster, operational and risk resilience, includes governance, risk management and compliance, cyber risk management, ethical decision making, statutory reporting, and operational excellence. Digital transformation has increased exposure to regulatory and security pressures.
The UK list also highlights leadership, culture and communications, including project management, cross-functional collaboration, DEIB, and cross-cultural communication, and covers strategic planning and analysis, technology roadmaps, sales negotiations, revenue growth strategies, and relationship management, alongside commercial intelligence and delivery.
LinkedIn maps these skills to 10 job roles, ranging from engineering and education to finance, marketing, healthcare services, and human resources.
The signal is clear. AI capabilities in the UK are expanding beyond engineering teams to commercial and operational leaders.
US: AI engineering and business strategy dominate
In the United States, the AI engineering and implementation sector is the fastest growing.
Skills such as data annotation, FastAPI, Google Gemini, LangChain, model training and fine-tuning, OpenAI API integration, search extension generation, vector databases, PySpark, Matplotlib, and PyTorch are accelerating as organizations incorporate AI into production environments.
At the same time, operational efficiency skills such as logistics management, process optimization, program improvement, real-time monitoring, and workflow automation are expanding as companies seek increased productivity.
The US list also strengthens AI business strategies such as AI for business, AI for design, data governance, responsible AI, and technology-enabled business transformation. Employers are looking for experts who can not only build systems but also define the value proposition of AI.
Other growth areas include financial operations and analytics, cybersecurity and risk management, leadership and talent management, and business and revenue growth.
This pattern reflects the maturation of the AI market. While technical skills remain important, governance and monetization are improving in parallel.
Canada: Implementation and stakeholder coordination
Canada’s list closely mirrors US trends led by AI engineering and implementation, including prompt engineering, MLOps, Azure Databricks, CI/CD, FastAPI, machine learning algorithms, PySpark, Matplotlib, and PyTorch.
Operational efficiency is also notable, with workflow management, product operations, manufacturing process optimization, and process automation gaining attention.
However, the Canadian list places more emphasis on stakeholder management, including client communications, onboarding, customer interactions, and cross-functional collaboration. As AI reshapes workflows, experts who can coordinate teams and external partners are increasingly in demand.
The fourth cluster, Data & AI Strategy, includes AI for Business, Data Interpretation, Data Integration, Software Infrastructure, and Cloud Infrastructure.
Australia: Governance and communications rise with AI
Australia’s fastest growing skills span technology implementation and organizational change.
Growth areas for AI, machine learning, and data intelligence include prompt engineering, data analytics and insights, model training and fine-tuning, data platforms, and AI for business use cases such as predictions and workflow automation.
Technology development and engineering includes full-stack development, API integration, DevOps, cloud infrastructure, and UI engineering.
Australia also focuses on communication and relationship building, including stakeholder collaboration, client communication, brand storytelling and cross-cultural communication.
In training, coaching, and talent development, onboarding design, mentoring, learning program design, team development, and cross-functional leadership are on the rise as organizations look to increase skills internally.
The final group, “Governance, Ethics and Compliance” includes governance, risk management and compliance, ethical decision making, ESG strategy, and policy development.
Australian data suggests that AI adoption is being treated as both a technological and organizational transformation challenge.
Singapore: AI, cloud and strategic transformation
In Singapore, LinkedIn focuses on AI, machine learning, and data engineering, including large-scale language models, generative AI, computer vision, robotics, data engineering, and model training.
In software engineering and cloud infrastructure, skills such as full-stack development, back-end development, DevOps, mobile application development, and cloud systems are accelerating.
Alongside financial management, the Singapore list also emphasizes strategic business and transformation, including strategic leadership, business transformation, business development, and business acumen.
This trend reflects Singapore’s position as both a regional technology hub and financial center where AI adoption intersects with corporate transformation.
ETIH Innovation Award 2026
The ETIH Innovation Awards 2026 is now open and recognizes education technology organizations that are driving measurable impact across K-12, higher education, and lifelong learning. The award welcomes applications from the UK, the Americas and overseas, and applications will be assessed on the basis of evidence of achievement and practical application.
