Bain and Company estimates that the artificial intelligence sector must generate roughly $6 trillion in yearly revenue by 2031 to warrant the ongoing expansion of data‑centre infrastructure. The report projects that new‑product development will supply the largest share, about $4.2 trillion, encompassing advances in search, advertising, autonomous systems and physical AI. Enterprise‑focused AI applications are expected to contribute between $1 trillion and $1.4 trillion, while consumer‑oriented services such as subscriptions and ads could add $200 billion to $400 billion. To accelerate adoption, leading AI labs are investing more than $9.75 billion in engineering models aimed at improving absorption speed—the rate at which firms deploy AI tools. Bain forecasts annual AI‑related capital expenditure on data centres to reach $1.5 trillion by 2031, which, assuming infrastructure costs represent about one‑quarter of total industry revenue, implies the $6 trillion revenue target. The size and cost of AI data centres are doubling roughly every 12‑16 months; for example, Meta’s Prometheus facility in Ohio is expected to grow from 600 MW and $24 billion in 2025 to 9 GW and $200 billion by 2030, according to Epoch AI. Challenges cited include power‑grid upgrades, GPU supply constraints, workforce retention, and regulatory pushback, while governments in the UAE, Saudi Arabia, the EU, South Korea and the US are providing policy support.