First-Year Employee Turnover Plummets

The "Great Stay" is not solely about employee satisfaction; it's also a story of economic uncertainty. Some analysts describe a trend of "job hugging," where employees are clinging to positions out of fear, even if they aren't thriving, leading to stable retention numbers that mask a disengaged workforce. This contrasts with the high voluntary turnover rates of the "Great Resignation" era that peaked in 2022-2023. The shift to skills-based hiring is a significant driver of improved retention, moving beyond traditional credentials. Companies using this model have seen up to a 91% increase in employee retention. The logic is simple: assessing candidates on their actual abilities leads to better job fit from day one, which boosts both confidence and long-term engagement. This focus on practical skills over pedigree expands talent pools by nearly 19 times, according to LinkedIn data. For managers, this means access to a more diverse and often more adaptable set of candidates. Tech workers without college degrees, for instance, are 20% more likely to remain in their roles than their degree-holding peers. In the European tech sector, the average attrition rate was 17.4% in the last 12 months, a slight decrease from the previous year, indicating a stabilization in the market. Hiring has also held steady, with a 29% hiring rate across European tech in 2025, the same as in 2024. However, rates vary by country, with Spain and France seeing decreased attrition, while the UK and Germany saw increases. Internal mobility is the other side of the retention coin. Employees who see clear opportunities to advance and build new skills internally have a 9% longer tenure than those in traditional hiring models. Four of the top five drivers for an employee's intent to stay are now directly related to career growth opportunities within their current company. The talent market itself is evolving, with a greater emphasis on specialists over generalists, particularly those with AI skills. In late 2025, over half of U.S. tech job postings required AI or machine learning skills. This specialization trend means that retaining and upskilling existing employees in high-demand areas is becoming more critical for engineering leaders than ever.