The data doesn't lie: Demand for tech skills, especially in AI, is driving advertised wages significantly higher.
Our latest compensation analysis reveals a notable trend: Advertised wages for computer occupations have experienced a substantial 45% cumulative increase in posted salary ranges across the U.S. This far outpaces typical wage inflation in other sectors, signaling a heightened period of competition for tech talent.
The increase is particularly acute for AI-skilled roles. In the latter half of 2024, the growth of AI-specific skill demand accelerated, with advertised wages for AI skills rising by a staggering 33.7%.
As highlighted in our recent whitepaper, Navigating the AI Hiring Market, the rise of AI roles has created an imbalance between supply and demand. Organizations are competing for a limited pool of qualified candidates, driving up compensation packages.
This trend is amplified by a shift toward specialization in tech hiring. Companies increasingly prioritize deep expertise in niche areas like machine learning, natural language processing, and computer vision, further narrowing the talent pool and raising demand-driven salaries for candidates with these in-demand skills.
Competition further intensifies when targeting talent from industry leaders like FAANG (Facebook, Apple, Amazon, Netflix, Google), who invested early in AI capabilities. Their head start makes it even more challenging to attract experienced professionals.
Simply offering the highest salary isn't always the best strategy, especially for smaller organizations. As outlined in our whitepaper, it's time to rethink your approach to talent acquisition:
Succeeding in the AI talent market requires a strategic, nuanced approach, one that goes beyond simply offering the highest salary. By focusing on building a compelling EVP, expanding your talent pool, and investing in your people, you can position your company to attract and retain the AI talent you need to thrive.