Diginomica Digital Careers Report - the Data Defies AI Job Fears

Why It Matters

The data signals that talent supply and remuneration are strong, easing CIO concerns about shortages while underscoring the need for AI upskilling and clear leadership strategy.

Key Takeaways

• Hybrid work is a top priority for over half of technologists
• 45% received a pay raise last year; 8% saw 30% increases
• AI, data, and ML skills dominate CIO hiring demands
• Only 37% get AI training; 43% lack experimentation time

Pulse Analysis

Even as headlines warn of AI‑driven layoffs, the Harvey Nash 2026 Global Tech Talent and Salary Report paints a different picture: the digital workforce is expanding, and flexibility has become a decisive factor in recruitment. More than half of surveyed technologists rate hybrid arrangements as essential, and 41% would accept lower salaries to work from home. This shift reflects broader post‑pandemic expectations and puts pressure on employers to embed remote‑first policies if they want to attract and retain top talent.

Compensation trends reinforce the market’s vigor. Nearly half of respondents reported a salary increase in the past year, with a notable 8% enjoying jumps of 30% or more—often tied to inflation adjustments and high‑impact roles like project managers and software engineers. Promotions are also on the rise, as 21% moved up within the year. Yet senior leaders reveal a paradox: while they feel empowered negotiating new roles, confidence drops when negotiating internally, hinting at a potential retention gap that could spur further talent churn if not addressed.

For CIOs and CTOs, the report underscores a strategic pivot toward AI capabilities. Skills in machine learning, large language models, and prompt engineering top the hiring list, confirming that AI is no longer a niche function but a core business imperative. However, only 37% of technologists receive formal AI training and 43% lack time for experimentation, exposing a compliance and productivity risk, especially under the EU AI Act. Coupled with mixed signals on leadership clarity—over half cite vague AI strategy—executives must prioritize upskilling, transparent roadmaps, and inclusive cultures to sustain the momentum of a healthy digital talent market.