AI Industry Needs $6 Trillion Annual Revenue By 2031 To Justify Data Centre Boom: Bain Report

A recent report by Bain & Co estimates that the global AI industry must generate an annual revenue of nearly $6 trillion by 2031 in order to justify the massive investments currently being made in AI infrastructure. According to the consulting firm, existing consumer and enterprise AI services could contribute up to $1.8 trillion to this revenue stream. The remaining $4.2 trillion would need to come from emerging sectors like autonomous machines, robotics, drug discovery, mental healthcare and energy technologies.

Bain's lead author, David Crawford, emphasized the need for a wave of innovation to surpass the impact of mobile and cloud technologies, stating that AI infrastructure is being developed at a pace outstripping demand growth. He also highlighted that sustaining investment would necessitate adding roughly 1% to global GDP growth.

The report pointed out the challenges confronting the AI ecosystem as companies pour significant capital into data centers required to power AI workloads. Microsoft, Alphabet, Amazon, Meta and Oracle are among the firms making large investments in data centers. Bain noted that data center sizes and costs are rapidly escalating due to the higher prices of advanced chips from Nvidia and SK Hynix, along with networking equipment and other components.

Bain projects that global spending on data centers could surge to $5 trillion to $6.5 trillion by 2030, adding at least 150 gigawatts of capacity. Annual spending on AI infrastructure, encompassing data centers, computing systems and advanced chips, might reach $1.5 trillion by 2031. However, this expansion faces several obstacles, including shortages of transformers, electricity and water resources, as well as opposition from local communities, which has already delayed or blocked data center projects worth $68 billion in the U.S. during the June quarter.

The consultancy concluded that the economics of AI infrastructure require revenue growth surpassing current expectations for workplace productivity, and the industry will need significant breakthroughs and novel AI-driven business models to deliver the returns needed to fuel the ongoing investment cycle.