Back-to-School 2026: The Most In-Demand Skills for the AI Era, According to 2U’s Learner Data

AI remains at the top of the list, but the top 10 reveals learner demand is evolving through expansion rather than disruption. Learners continue to seek technical skills like Python and data science, business capabilities like finance, supply chain, and project management, and disciplines like psychology and English.

Looking at changes in AI-related search rankings between January 2025 and July 2026, "Introduction to Artificial Intelligence" still ranks high within AI searches. Yet, some of the fastest-growing topics point toward practical application, workplace workflows, and career pathways:

Together, these searches point to growing interest in how AI is deployed, governed, and operationalized across organizations.

AI queries are becoming more specific. Foundational knowledge still matters, but searches increasingly point toward learning how to build with AI, incorporate it into and automate workflows, and develop the skills required for emerging AI-related roles. As organizations move from AI experimentation to deployment, learning needs will become more role-specific and more deeply embedded in ways of working.

Learners' interests have now broadened beyond a single AI tool. In 2023 and 2024, ChatGPT dominated public attention and learner curiosity. Between July 2025 and July 2026, learner interest broadened beyond a single AI tool, reflecting a more sophisticated AI landscape. New searches focused on agents, copilots, automation, and workflow-oriented AI tools:

The market is maturing. Learners are moving beyond a single-tool understanding of AI. Instead of focusing on one platform, they are exploring a broader ecosystem of AI technologies and applications. This mirrors the evolution of the workplace itself as AI becomes embedded across more tools, functions, and workflows.

Business-oriented learning demonstrated resilience, maintaining high rankings or gaining ground from July 2025 to July 2026:

Learners do not view AI skills as a replacement for business expertise. Year-over-year search behavior suggests they are combining AI literacy with operational, financial, and leadership capabilities. The emerging workforce advantage increasingly comes from knowing how to use AI to enhance domain expertise.

As AI automates technical tasks, learners continue to search for disciplines rooted in human behavior and decision-making.

The evolution of learner demand suggests that AI has entered a new phase. Interest in foundational AI knowledge remains strong, but learners are moving from awareness toward practical application, exploring a broader ecosystem of AI technologies, and continuing to seek business, technical, and human-centered knowledge alongside them.

While search behavior alone can't tell us exactly how the workforce will evolve, it does give us a real-time view into the questions learners are asking, and the capabilities they believe are worth building. For universities and employers, that's an important signal. The skills landscape is rapidly changing, and learners are changing with it. Meeting them where they are headed will require learning opportunities that connect emerging technologies to the disciplines, roles, and human capabilities that give those technologies value.

For learners preparing for the future of work, the emerging formula is becoming clear: build AI fluency, develop domain expertise, and strengthen the human skills that technology cannot replace. Based on our search data, learners understand this.

This analysis is based on learner search activity from approximately 1.8 million users across 2U's global learning platform, edX, between January 2025 and July 2026, constituting around 10% of total site users. Findings reflect search behavior and learner intent rather than enrollments, completions, or workforce outcomes. Unless otherwise noted, topic rankings and year-over-year comparisons reflect changes between July 2025 and July 2026, while longer-term trend analyses examine changes in learner search behavior between January 2025 and July 2026. Search activity provides a unique view into emerging learning priorities and the topics learners actively seek as they prepare for the future of work. Data includes overall search traffic, keyword rankings, AI keyword rankings, and year-over-year search trends across the platform.