Stanford’s AI Index: 5 critical insights reshaping enterprise tech strategy
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Summary
The Stanford Institute for Human-Centred Artificial Intelligence (HAI) has released its latest AI Index report, which analyses global advances in AI from a data-driven perspective, covering areas such as performance, workforce implications, responsible AI and investment trends.
The report reveals that the number of US AI projects considered ‘notable’ is now double that of China, with Europe trails way behind, producing only three notable projects.
It also finds that AI model inference costs have dropped significantly (280-fold decrease since 2022), and AI model training costs have risen, with computing power requirements doubling every five months, and dataset sizes growing every eight months.
HAI’s research manager, Nestor Maslej, stated that the biggest takeaway is that AI is becoming more affordable and accessible, which is opening up opportunities for businesses that were previously priced out of advanced AI capabilities.