Consulting giant Bain sounds the alarm: The global AI industry needs to achieve $6 trillion in annual revenue to sustain the data center "cash-burning spree"

Global consulting giant Bain says the global artificial intelligence (AI) industry will need to generate $6 trillion in annual revenue by 2031 to justify the massive capital currently being poured into data centers worldwide. In its annual global technology report released Tuesday, Bain said existing consumer and enterprise AI services could contribute at most $1.8 trillion of that total, meaning $4.2 trillion in new revenue still needs to be created. Bain said this revenue gap could come from areas still in their infancy, such as autonomous machines and Siasun Robot&Automation, as well as emerging fields including drug discovery, mental health and energy production. "The industry needs a wave of innovation far larger than the space unlocked by the mobile internet and cloud computing," said David Crawford, the report's lead author and Bain's global head of technology, media and telecommunications. "AI infrastructure is being built far ahead of the demand curve, and funding it sustainably would require lifting global annual GDP growth by about 1 percentage point." Bain said that while current discussion focuses mainly on employee productivity, the economics of AI infrastructure require trillions of dollars in new revenue beyond productivity gains. In addition, Bain expects data center spending to reach $5 trillion to $6.5 trillion by 2030, adding at least 150 gigawatts of capacity, which will further strain national energy resources. The firm said annual spending on AI infrastructure including data centers, computing power, and upgrades to accelerators and memory chips could reach as much as $1.5 trillion by 2031. Data center developers are already facing shortages of transformers, water and electricity, as well as strong opposition from local residents. In the second quarter alone in the United States, data center projects worth $68 billion were blocked or delayed as a result. Bain's report highlights the many obstacles that remain to making the current pace of AI development sustainable. Companies such as Microsoft Corporation(MSFT.US), Alphabet Inc. Class C(GOOGL.US), Amazon.com, Inc.(AMZN.US), Meta Platforms(META.US) and Oracle Corporation(ORCL.US) are investing trillions of dollars in data centers to meet AI's growing demand for computing resources. The scale and cost of data centers roughly double every 12 to 16 months, partly due to sharp price increases for chips, networking equipment and other components from companies such as NVIDIA Corporation(NVDA.US) and SK Hynix(SKHY.US). The report comes as debate over the return on AI investment is heating up, with AI service providers yet to deliver clear returns. Critics worry that an increasingly interdependent network has formed between technology manufacturers and AI developers, fueling lofty market expectations that in turn require even more capital. It is worth noting that the possibility that massive AI capital expenditure may not sustainable returns is also a key reason Michael Burry has persistently bet against AI trades. The investor, known for his big short against the U.S. housing market before the global financial crisis, recently said the AI bubble may burst sooner than initially thought. He is now swapping heavily weighted short positions in AI names for put options to gain more cost-effective leverage over a shorter time window. In an investment newsletter published Monday, Burry wrote: "Fundamentally, I am moving the timeline forward. As such, I want more leverage in the short positions. When the time window better matches expectations, the risk of leverage is easier to bear. When it comes to leverage, nothing is more suitable than options specifically put options here; because volatility measures such as VIX are unusually low, these options are relatively cheap." He disclosed that some of the repositioning was to reduce taxes, but the main reason was his view that "the AI bubble may burst sooner than expected." The new put option positions mean he is betting the AI trade could reverse before next summer.