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Home Artificial Intelligence

Leadership trumps coding in the age of automation

by Allan Tan
May 8, 2026
Photo by Pavel Danilyuk from Pexels: https://www.pexels.com/photo/a-man-in-black-suit-talking-beside-people-in-the-office-7654410/

Photo by Pavel Danilyuk from Pexels: https://www.pexels.com/photo/a-man-in-black-suit-talking-beside-people-in-the-office-7654410/

As artificial intelligence advances, certain human skills remain irreplaceable, according to a new April 2026 report from GoHumanize, an AI humaniser tool.

With 25% of jobs potentially automated in the next decade, the study ranks 60 professional skills by their resistance to automation, employer value, job demand and reliance on uniquely human traits like emotion and judgement. The top 10 all centre on managing, communicating with or understanding people, rather than technical tasks.

Leadership tops the list, scoring 95/100 for importance and appearing in 1.66 million job listings. It boasts 69% automation resistance—machines can handle just 31% of what CEOs do—thanks to its 93/100 human dependency score, which demands inspiring teams and reading nuanced situations. Roles like CEOs, military officers and school principals exemplify this.

Collaboration and teamwork rank second (88/100 importance, 3.95 million listings), valued for navigating interpersonal tensions beyond task completion. Negotiation follows (88/100, 2.77 million listings), with 47% automation potential but high human dependency (89/100) for reading body language and building trust.

Coaching and mentoring (88/100, 1.46 million listings) and public speaking (85/100, 2.6 million listings) complete the top five, each excelling in real-time human interaction that AI struggles to replicate.

In contrast, data analysis ranks near the bottom as easily automatable, despite current employer demand. Organisational leadership, people management, emotional intelligence, interpersonal skills and change management fill out the top 10, underscoring a shift towards "human touch" abilities.

GoHumanize founder commented: "The gap between what schools teach and what protects you from automation keeps widening. Universities still push STEM degrees and analytical training. That’s because most people assume that learning to code or mastering spreadsheets will keep them employed, but the research shows the opposite. Technical skills are getting automated faster than social ones because they follow clear rules that machines can learn. If you want job security, focus on abilities that require human touch, personal presence, and making judgment calls."

This aligns with broader trends. The World Economic Forum's Future of Jobs Report 2023 predicts cognitive skills like analytical thinking and leadership will grow most in demand by 2027. McKinsey's 2023 report notes 45% of work activities could be automated, prioritising social and emotional skills.

The takeaway? In an AI-driven world, nurturing leadership and interpersonal prowess offers the surest path to enduring employability.

Related:  AI-powered QMS to narrow quality management for manufacturers
Tags: future-proof skills AIGoHumanizehuman skills jobs

Allan Tan

Allan is Group Editor-in-Chief for CXOCIETY writing for FutureIoT, FutureCIO and FutureCFO. He supports content marketing engagements for CXOCIETY clients, as well as moderates senior-level discussions and speaks at events. Previous Roles He served as Group Editor-in-Chief for Questex Asia concurrent to the Regional Content and Strategy Director role. He was the Director of Technology Practice at Hill+Knowlton in Hong Kong and Director of Client Services at EBA Communications. He also served as Marketing Director for Asia at Hitachi Data Systems and served as Country Sales Manager for HDS’ Philippine. Other sales roles include Encore Computer and First International Computer. He was a Senior Industry Analyst at Dataquest (Gartner Group) covering IT Professional Services for Asia-Pacific. He moved to Hong Kong as a Network Specialist and later MIS Manager at Imagineering/Tech Pacific. He holds a Bachelor of Science in Electronics and Communications Engineering degree and is a certified PICK programmer.

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