The first report for policy makers to help assess and plan for the national AI compute capacity needed to enable productivity gains and capture AI’s full economic potential is A blueprint for building national compute capacity for artificial intelligence by OECD.
• AI is transforming economies and promising new opportunities for productivity, growth, and resilience. Countries are responding with national AI strategies to capitalise on these transformations.
• AI requires a special infrastructure called “AI compute”. The compute needed to train and use AI systems has grown dramatically over the last decade and continues to do so, especially for deep learning and neural networks.
• However, no country today has sufficient data on, or a targeted plan for, national AI compute capacity. This policy blind spot could jeopardise economic goals.
• The blueprint shows how to develop a national AI compute plan along three dimensions: capacity (availability and use), effectiveness (people, policy, innovation, access), and resilience (security, sovereignty, sustainability).
• The report defines AI compute and takes stock of the indicators, datasets, and proxies countries will need to measure national AI compute capacity and also identifies challenges to measuring and benchmarking national AI compute capacity across countries.
The full report is here: https://oecd.ai/en/compute-report
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