Artificial Intelligence [AI] has made extraordinary advances over the last year, driven by the phenomenal uptake and interest in generative AI apps such as ChatGPT, DALL-E, GitHub Copilot and Stable Diffusion.

Traditionally, AI systems have been trained on large amounts of data to identify patterns. Generative AI goes a step further, using complex systems and models to generate new outputs in the form of images, text, or audio using natural language prompts. This promises massive social and economic value due to its ability to handle multiple repetitive tasks quickly and accurately.

This whitepaper provides an overview of the outlook, drivers, opportunities, and infrastructure challenges created by the boom in generative AI.