Compensation for tech roles most exposed to artificial intelligence has surged roughly 46% since 2021, while positions least affected by AI saw pay grow only 25% over the same period, according to the Dice Tech Sentiment report. This salary divergence started widening in 2024 and continues as job postings recover following several challenging years for tech hiring. Yet as organizations chase specialized AI talent with bigger paychecks, the same technology is fueling increased employee burnout and a troubling gender imbalance in hiring.
AI-related job postings have doubled from 2023 to 2026, with average compensation for AI roles hitting approximately $177,000 compared to $80,000 for non-AI positions, LinkedIn Research reveals. Some 72% of employers say they're boosting compensation budgets to attract and keep top talent, while 65% of tech leaders report offering salaries above their planned range, with 87% citing the need to secure candidates with specialized skills as the primary driver, data from Robert Half shows. Across all industries, 42% of business leaders indicate they'll pay more for AI-related experience compared to general tech skills, and 92% of tech leaders acknowledge internal plans to offer higher pay for relevant AI capabilities. Meanwhile, pay transparency has become the norm, with 96% of organizations either already sharing compensation details or planning to do so soon.
The report finds that 84% of executives currently struggle to locate specialized local talent while 64% feel unprepared for ongoing disruption, according to a 2026 report from Globalization Partners. As daily AI use quadrupled over the past year, burnout doubled and confidence in tech's long-term future dropped from 80% to 60%, Dice reports. Nearly half of all employed tech professionals report feeling burnout, with roughly 25% describing themselves as very burned out, and those in tech and AI roles express the highest rates. Some 74% of employees say they plan to switch employers within the next year, and 55% are actively job searching, despite only 41% believing they'll find a better position.
The gender imbalance in AI hiring presents another challenge, as women accounted for just 26% of AI hires in the U.S. in 2025, compared to 50% of hires into non-AI roles, LinkedIn Research data shows. At the C-suite level, only 13% of AI leadership at AI companies is held by women. AI roles have largely gone to candidates with college degrees, with 91% of AI workers holding a bachelor's degree or higher, rising to 95% for C-suite and director level positions. Women also hold more negative views than male peers about AI's impact, with 33% feeling negatively about the personal impact versus 27% of men, and 43% feeling negatively about the societal impact versus 36% of men, according to Pew Research. Women are more likely to say AI is advancing too quickly, at 68% compared to 58% of men.
Organizations must balance AI investments against the human costs they create, the report indicates. High levels of burnout can drain productivity and damage bottom lines, with an estimated $10 trillion lost globally in 2025 due to disengaged and burnt out employees, Globalization Partners data reveals. Speed without guardrails might create advantages for some but will generate anxiety for others, Dice notes, yet fewer than half of employers report having formal AI policies in place to govern its use in the enterprise. Tech and IT leaders will need to avoid falling back into old hiring patterns that initially caused an absence of representation in tech, particularly as opposing sentiments about AI might contribute to the overall gender gap in AI roles, with women showing more hesitation and caution with AI tools compared to male colleagues. Companies betting heavily on AI transformation face a strategic tension: the specialized talent commanding premium salaries may prove unsustainable if organizations can't simultaneously address the cultural and structural challenges eroding workforce stability from within.