Five years ago, the skills conversation was dominated by a single question: will AI take your job? Now in 2026, the question has shifted, and Degreed's latest data from 2025 learning pathways gives us a surprisingly messy answer. The tidy narrative that 'human skills won' falls apart the moment you look at the actual list.
What the Top 10 List Actually Shows
Degreed analyzed learning pathway data from 2025 to identify the top 10 skills professionals are building for 2026. The ranked list reads like this: Leadership, Communication, Project Management, Problem Solving, Customer Service, Microsoft Excel, Data Analytics, Python, Adaptability, and Stakeholder Management.
Seven of ten are human or business-centric, which is where the '70% human skills' headline comes from. But look closer. This is not a list about empathy, creativity, or emotional intelligence. It is a list about leadership, coordination, and process management. Skills like Project Management and Stakeholder Management sit right alongside Communication and Adaptability. These are organizational skills, the kind you need to manage people and move work through systems.
And then there is the blurrier middle ground. Microsoft Excel and Customer Service both appear on this list. Is Excel a human skill or a technical skill? Is Customer Service purely interpersonal, or does it require system knowledge? The data does not sort that out, and neither should we.
The Technical Skills That Refuse to Disappear
The three technical skills on the list are not random. Microsoft Excel, Data Analytics, and Python represent a specific tier of technical capability: data manipulation and analysis. These are not fading. They are holding specific, ranked positions against leadership and communication.
Coursera's Job Skills Report 2026 adds another layer to this picture. Analyzing data from over 6 million enterprise learners, the report highlights a trend of layering new AI skills on top of foundational technical ones. Workers in technical roles are not dropping SQL to learn AI. They are learning AI on top of SQL, stacking capabilities rather than swapping them.
Why AI Makes Coordination Skills More Valuable, Not Less
The World Economic Forum data cited by Degreed helps explain why. Tasks tied to empathy, creativity, leadership, and curiosity have only a 13% potential for AI transformation. Meanwhile, a survey of 750+ tech executives found leaders expect AI to automate nearly half of their team's tasks within three years.
So nearly half of work gets automated, but the tasks most resistant to automation are the ones tied to leadership and coordination. That math points directly to the Degreed list. If AI handles execution, the people who survive and thrive are the ones who can direct that execution, manage stakeholders, and solve problems that AI cannot yet touch.
Intuition's data reinforces this shift, reporting that 9 out of 10 global executives recognize that human skills' importance surpasses that of previous years. One third of jobs remain partially immune to automation, and the skills protecting those jobs are not mystical soft skills. They are coordination and leadership capabilities.
The Hybrid Skill Profile Is the Real Takeaway
The honest reading of all this data points to a hybrid skill profile, not a binary. The professionals winning in 2026 are not choosing between human skills and technical skills. They are building both, in a specific combination: leadership and coordination at the top, data literacy in the middle, and AI competencies layered on foundational technical skills at the base.
The Degreed list is not evidence that technical skills lost. It is evidence that technical skills alone are no longer enough to stand out in a learning pathway.
So here is the question worth sitting with: if the most in-demand professionals are the ones stacking coordination skills on top of technical skills, what does your own learning stack look like right now?
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