Contrary to widespread anxiety about artificial intelligence replacing jobs, the 2026 Global Tech Talent and Salary Report from Harvey Nash finds growing pay, strong job satisfaction, and flexible working conditions sustaining digital careers worldwide.
- 45% of technologists got a pay rise in 2025, with many expecting increases next year
- 50% refuse roles without hybrid work options, prioritizing flexibility alongside salary
- Less than a quarter believe AI will automate most of their job within five years
What happened
The 2026 Global Tech Talent and Salary Report by Harvey Nash surveyed more than 3,000 technology professionals worldwide, uncovering encouraging trends despite general unease about AI's impact on jobs. Salary increases, career progression, and job satisfaction rates all rose compared to previous years. Nearly half of those surveyed received wage hikes in the last year, with many expecting similar raises ahead, reflecting ongoing global inflation.
Flexible work remains a keystone in tech hiring, with over half of respondents valuing hybrid work highly and many even willing to accept lower pay to work from home. Job security was also a key factor influencing retention, especially amid rising living costs spurred by geopolitical tensions. Notably, only 22% think AI could perform the majority of their tasks in the next five years.
Why it matters
These findings challenge the narrative that AI will imminently displace large segments of the tech workforce. Instead, the data suggests the digital labor market is adapting, with higher wages and flexible policies helping retain talent. The demand for AI-enabling skills such as cloud computing, data analysis, and software development highlights where enterprise investment and hiring will focus.
However, key weaknesses remain. Training opportunities for AI adoption lag behind access to tools, with under 40% reporting their companies provide dedicated AI learning or experimentation time. Senior leaders also feel less empowered negotiating pay increases internally than when switching roles, indicating potential structural drawbacks in career growth dynamics.
What to watch next
Tech leaders should prioritize robust AI training programs and allocate time for employees to upskill or experiment with AI technologies. This will not only address compliance concerns under regulations like the EU AI Act but also bolster workforce confidence and innovation capacity.
Additionally, organizations must refine internal career development and negotiation processes to keep senior talent engaged. Tracking how AI transforms specific roles will be critical as demographic differences in AI risk perception may influence future workforce planning and retention strategies.