The 2026 Stanford AI Index report found that enterprises adopting AI at scale reported productivity gains averaging 72 percent across primary use cases, with marketing and content functions among the highest-performing categories. The finding marks a significant jump from the 2025 index, which measured an average productivity improvement of 54 percent, reflecting the maturation of AI tooling and the shift from pilot projects to production deployments.
AI investment in the United States reached $109.1 billion in 2025, roughly 12 times the combined AI investment of the next two countries, according to the Stanford Index. The US accounts for the largest concentration of generative AI models in production use globally, with more than 60 percent of commercially deployed foundation models originating from US-based organizations.
The number of AI-related job postings in the United States doubled between 2023 and 2026, with roles in AI engineering, prompt design, and AI workflow management growing fastest. Marketing technology roles explicitly requiring AI platform knowledge increased by 47 percent in the same period, reflecting enterprise demand for practitioners who can operate within AI-integrated workflows rather than build the systems themselves.
Academic-to-industry publication ratios shifted significantly, with industry-produced AI research now outpacing academic output by a factor of roughly three to one, compared with approximate parity in 2020. The concentration of model development and deployment capability within a small set of US technology companies has accelerated over the past three years.
Source: Stanford HAI -- https://aiindex.stanford.edu