Annual AI Updates Are Too Slow

Annual updates are no longer good enough

For years, Lightcast has contributed data about the intersection of artificial intelligence and the labor market for an annual report. But now, the AI frontier is moving too quickly for annual reports to keep up. 

That is why we have updated the data we provide to Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI) as part of its flagship AI Index, to provide a view of developments across the AI labour market landscape right up to the end of H1 2026.

The Institute tracks, aggregates and visualizes data related to different aspects of AI. For nearly a decade, Lightcast has contributed labour-market data to the Index, helping researchers, policymakers and business leaders understand how AI is reshaping work.  

Our latest findings point to three important developments: 

• The global AI race is accelerating. 

• AI adoption is accelerating, but priorities differ.

• Junior AI-related roles are growing more slowly than others.

What counts as an AI job? 

To understand AI’s impact on work, we need a consistent way to identify where AI skills are being demanded. Actual company adoption data remains difficult to obtain, but job postings provide an early signal of where organisations are investing in AI capabilities and which skills they need.

In partnership with the Institute, Lightcast has developed a methodology covering more than 400 AI skills, grouped into ten categories spanning from machine learning and natural language processing to generative AI, agentic AI, and AI ethics and governance. We classify a job posting as an AI job when it mentions at least one of these skills.

When these AI skills begin to appear in job postings, it indicates that organisations have moved beyond individual experimentation and are making real, strategic investment in technology. This approach helps identify the roles, industries and regions where demand for AI skills is growing, as well as the specific capabilities employers are seeking. Job postings do not capture all AI adoption, so they should not be treated as a complete measure of implementation. But they offer a timely, directionally useful signal of how demand is changing.

The global AI race is accelerating

Demand for AI skills is rising across every country in our analysis, with some markets moving particularly quickly. In the US, the share of job postings mentioning AI skills increased by 60% in the first half of 2026 compared with 2025. Singapore remains ahead, with AI skills appearing in nearly 5% of job postings, compared with almost 3% in the US. The relative positions of countries remain broadly consistent, but the overall direction is clear: demand is growing, and the race to build AI capabilities is intensifying.

AI adoption is accelerating, but priorities differ

While the pace of AI adoption is accelerating, it is important to note that not all sectors, career areas or occupations are adopting AI at the same pace. Understanding where demand is already high, where it is growing fastest, and where it remains limited can help organisations focus their investment and prepare more effectively.

The next chart compares the current share of job postings mentioning AI skills with growth in that share between 2025 and the first half of 2026. It highlights that only a handful of career areas are AI hotspots, and that actually, broadly speaking, career areas and occupations fall into four broad categories:

• AI hotspots: Human resources, and design, media & writing combine relatively high demand with rapid growth. These areas warrant immediate attention as organisations consider how to implement AI and adapt work.

• Established AI hubs: IT and computer science, engineering, and science and research already have relatively high demand for AI skills. Here, the next phase may be more about the continued evolution of existing work than a sudden shift.

• Emerging frontiers: Customer support, hospitality and finance are seeing rapid growth from a comparatively low base. These areas offer opportunities to invest in AI skills and solutions before adoption becomes more widespread.

• AI cold zones: Other career areas show lower demand and slower growth in postings mentioning AI skills. This does not mean they are immune to change, but the effects may be indirect or emerge later.

Junior AI roles are growing more slowly than the broader AI market

Demand for AI skills is also growing unevenly across experience levels. There is now roughly one junior role (0-2 years of experience) advertised for every four senior roles (5+ years), compared with one junior role for every 2.5 senior roles in 2022. AI skills are also much more prevalent in senior positions: just 1.4% of junior postings mention them, compared with 9.3% of postings requiring five or more years of experience. While the number of junior postings requiring AI skills in the first half of 2026 was already roughly equivalent to the total for 2024, growth has been even stronger for senior roles, with postings up 30% compared with the same period in 2024.

What it takes to prepare for AI

Preparing for AI requires more than tracking technological progress, it requires understanding how that progress is reshaping the labour market. At Lightcast, we have spent more than a decade studying AI’s impact on work and, through our partnership with Stanford, have helped develop a skills-based methodology for identifying where AI capabilities are being demanded. We work with policymakers, businesses and education institutions to answer their AI questions with labour-market evidence—from where adoption is accelerating to which skills to prioritise and how to prepare people for changing work. If your organisation is navigating these questions, we can help you turn the signals into practical decisions. Let's talk AI.