How AI is Reshaping
the Job Market Around Itself

A generation of college students in America were told a simple story: go to college, learn to code, and graduate into a job with a six-figure salary, private chef lunches, and massages at work. For two decades, this was the case.

Now, as the AI wave just starts to crash onto the technology industry, that story is beginning to crack.

When surveyed, professionals across industries reported their anticipated changes in workforce size. The most optimistic response came from the IT sector and the most pessimistic was from HR.

While the IT sector is most optimisitc, that optimism is not evenly distributed. Based on vulnerability scores, many jobs in the IT sector are at high risk of being replaced by AI. The Risk score is a metric calculated by the 2025 Stanford AI Index Report that represents higher rates of displacement and decline in hiring rates.

Unlike previous technological revolutions, AI is not just replacing lower-skilled, lower-paying jobs. Many of the highest paying jobs are also at the highest risk of being replaced by AI.

Wether tech workers are ready for it or not, the AI revolution is here to stay. The key now is to stay ahead of the puck, use it to your advantage, and be ready to adapt.

As AI transforms the job market, certain skills are experiencing explosive growth. Understanding which AI-complementary skills are in highest demand can help job seekers position themselves for success in the AI era.

Tracking the evolution of AI skill demand over time reveals which skills are gaining momentum and which are stabilizing. The demand index shows how each skill's market presence has changed from 2017 to 2025, with projections indicating future trends.

Not all jobs are created equal when it comes to AI opportunity. Jobs with high AI opportunity scores represent positions where AI transformation is most likely, creating new roles and requiring workers to adapt and work alongside AI technologies. These opportunities span across salary ranges, showing that AI is reshaping the job market at all levels.

Together, these trends show a job market in rapid transformation. The skills growing today will define the jobs of tomorrow, and opportunities exist across all salary levels for those ready to adapt.

AI opportunities are not spread evenly across the world. AI adoption is rapidly accelerating. The shown global map visualization captures how AI-related job postings have grown over the past decade. The circle size reflects the total scale of AI job activity [Country’s % of Global AI Job Posting x Country Population], and the color captures how saturated each country’s job market is with AI roles.

Across the captured timeline [2014-2024], a consistent pattern emerges: North America and Western Europe dominate AI hiring, with the United States and, United Kingdom leading the pack as hubs for AI jobs. Smaller nations such as Singapore and Luxembourg also show rising intensity, but much of the global map doesn’t have enough data to be included. Notably, most of Asia, Latin America, and Africa are blank. A notable caveat is the absence of China and India, as their data is not publicly accessible. Their missing data means the complete global distribution of AI jobs is incomplete, but the imbalance across Latin America and Africa remains.

Animating the year-by-year changes shows that AI’s growth has not been distributed across the globe, but rather represents a selective surge centered around a handful of countries with the infrastructure and workforce to match the growing AI demand. The gaps in AI growth raise an important question surrounding global access to AI opportunities.

Zooming into the United States, which is the world’s most mature AI job market, reveals an even more drastic divide across states and even cities. The current visualization shows two perspectives that together explain how AI job opportunities are distributed across the country.

First, the share of all US job postings, the absolute opportunity, highlights where the sheer volume of AI jobs is concentrated. A small group of states, California, Texas, New York, and Washington, contains the majority of AI postings. This underlines the concentration of AI opportunities in these states with urban and innovation-heavy economies.

Second, the percentage of each state’s jobs that are AI-related, relative intensity, shows that several smaller states exhibit disproportionately AI-dense labor markets. Delaware, Virginia, and Massachusetts notably have higher AI job density than California, even showing that AI is saturating economies to a greater extent, even when they have notably smaller AI markets.

These two perspectives show that AI concentration has two dimensions: where the most jobs exist and where AI is most saturated in the workforce. For job seekers, the first view highlights where AI opportunities cluster, but the second view also provides insight into where their expertise may have a larger impact. Even within a single country, AI’s rise is unevenly distributed as it clusters around specific states, cities, and economies that can support the monetarily and resource-costly AI industry.