Demand for AI talent is exploding, but most companies are learning a hard truth: there just aren’t enough AI-skilled professionals to go around. Despite an influx of job postings, the talent pool remains shallow, leaving many organizations scrambling to build realistic hiring strategies.

Key Challenges in Today’s AI Job Market

• AI Job Postings Surged 143% from June 2024 to June 2025, yet the available talent pool is largely the same as last year
• Companies want to build and implement AI strategies fast, but few realize how challenging it is to hire this type of engineer for the first time
• Employers are “posting to test”: Many AI job listings are being used to gauge compensation expectations and identify pain points
• Traditional credentials like PhDs are taking a backseat as employers are prioritizing hands-on AI skills and model deployment experience over academic pedigree.
• AI/ML roles are resilient: Even during widespread tech layoffs, demand for AI and machine learning talent has held strong.
• Most AI / Data roles are being concentrated in San Francisco, New York City, Seattle, Boston & Austin.  This also coincides where most AI-based companies and talent reside.  Companies outside of these cities will need to open their hiring to remote talent if they want to compete.
• Government involvement in AI will also be a critical element for companies implementing strategies.  Their role in regulation, funding, and oversight will heavily influence both private sector innovation and public sector adoption.  

What do we expect in the second half of 2025?

• Increased AI hiring outside of traditional tech companies. Law firms and banks will become very invested in employing data, infrastructure, ML & AI engineers, particularly in LLM and cyber security.
• Companies will need to reconcile the talent they want vs the talent they can afford.  If they cannot align their budget with their new-hire expectations, they will fall behind and lose out on great engineers.

What’s the takeaway?  Demand is high and supply is low. This is not going to resolve itself as the year goes on. In fact, the talent pool will continue to shrink as jobs postings are increasing month after month. 

A clearly defined strategy and budget will be the foundation for hiring successfully.  You will lose out on skilled candidates if your process is long, cumbersome and undefined.  Companies need to align expectations with the reality of the market.  Know who you are competing with for talent.

Our team is successfully placing data, infrastructure, AI, and ML engineers. We are ready to provide insight, share what is happening in real-time, and guide you in this challenging AI hiring landscape.