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Demand for agentic AI skills surges as businesses shift beyond traditional coding – Malt

The findings, published in the Malt Tech Trends 2026 report, pointed to a significant shift in the technology skills landscape.

Demand for agentic AI skills surges as businesses shift beyond traditional coding – Malt
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Demand for ‘agentic AI’ skills has surged dramatically over the past year, rising by up to 60 times, as businesses prioritise expertise in designing rather than traditional coding alone, according to research from Malt.

The findings, published in the Malt Tech Trends 2026 report, pointed to a significant shift in the technology skills landscape.

Employers are increasingly seeking professionals who can integrate and manage AI-driven systems across business functions, rather than focusing solely on software development.

The report draws on data from more than one million freelancers and 90,000 companies across Europe, the UK and the Middle East, analysing keyword searches and project briefs to identify emerging trends.

Demand for expertise in low-code automation tools such as n8n has grown more than fourteenfold, now reaching levels comparable to established programming languages like Java.

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At the same time, demand for traditional skills such as WordPress and Java has declined by 20% to 30%, reflecting a broader pivot towards AI and automation capabilities.

Only 20% of freelancers joining Malt in 2025 listed JavaScript as a core skill, down from 40% the previous year, suggesting a move away from conventional development roles.

The research also highlighted growing demand for AI skills beyond technical teams.

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Around 22% of non-tech project briefs now require AI expertise, spanning areas such as marketing, design and consulting.

Meanwhile, demand for AI regulation expertise has increased by 380%, driven in part by compliance requirements linked to evolving legislation such as the EU AI Act.

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Claire Lebarz, CTO at Malt, said: “In recent years, artificial intelligence has evolved from experimentation to widespread adoption and is now present across functions, industries, and company sizes.

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“We are not seeing a substitution of humans by machines, but a deeper shift: AI is rewriting where value sits within human work. We have entered a period of deep structural realignment where value no longer resides in the ability to execute a task, but in the capacity to design the systems that perform it.”

“The transformation is not technical; it is organisational. We are no longer just managing code, infrastructure, or roadmaps. Instead, we are choreographing intelligence.

“Success will be measured by how effectively we harmonise human ingenuity with machine autonomy to create a system that learns, adapts, and scales.”