‘If you don't fill your roles, you're simply missing out’: The data behind Europe’s talent gap

· Source: Sifted · Field: Business & Management — Human Resources & Workforce Development, Entrepreneurship & Start-ups · Depth: Intermediate, medium

Summary

Europe's startup ecosystem faces a significant talent gap, particularly in AI, machine learning, and data roles, with one in three founders citing hiring as their biggest growth barrier, according to TechNation's 2025 report. This shortage is intensifying, as Manpower Group's 2026 Global Talent Shortage report indicates three in four information industry employers struggle to fill positions. While countries like Spain, France, and the UK had a talent surplus in 2020, projections suggest widespread shortages by 2030. Larger corporations often retain top talent with better salaries and job security, making it difficult for startups to compete. The most challenging skills to find are AI model and application development and AI literacy. Unfilled roles lead to delayed product launches, stalled expansion, and lost revenue, prompting startups like Heyflow and WorkMotion to adopt international remote hiring strategies, often utilizing Employer of Record (EOR) providers to manage compliance and payroll complexities.

Key takeaway

For Directors of AI/ML struggling to staff critical roles, waiting for local talent markets to improve is no longer a viable strategy. You should proactively explore international remote hiring, leveraging Employer of Record (EOR) services to efficiently access global talent pools and maintain competitive speed in product development and market entry. Failing to adapt risks significant delays and lost market share.

Key insights

Europe's talent gap, especially in AI, is driving startups to global remote hiring via EORs.

Principles

Method

Startups can overcome local talent shortages by expanding their search globally, hiring remote workers from abroad, and utilizing Employer of Record (EOR) providers to manage international compliance, payroll, and employment law complexities.

In practice

Topics

Best for: VP of Engineering/Data, Director of AI/ML, Entrepreneur, CTO, HR Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Sifted.