AI Compute Demand 'Just Scratching the Surface,' Says Investor

The insatiable appetite for artificial intelligence compute power continues to fuel major investments and strategic partnerships across the tech sector. Sara Araghi, Senior Vice President and Portfolio Manager at Franklin Equity, and a partner at Franklin Venture, discussed the ongoing trend of AI companies securing compute resources, highlighting the recent investment by AMD in Anthropic. Araghi noted that this deal, alongside previous collaborations between AI leaders like Anthropic and OpenAI with hardware giants such as Broadcom and Google, signals a consistent need for increased computational capacity.

AMD's Strategic AI Play

Araghi suggested that AMD's investment, timed ahead of their 'Advancing AI' event, aims to generate excitement and underscore their role in the burgeoning AI hardware market. She drew parallels to earlier compute deals, such as the one between AMD and OpenAI, and addressed the common question about why equity investments are necessary when hardware is competitive. Araghi stated, "If your computer's competitive, Anthropic will just acquire it from you." However, she acknowledged that these investments are becoming a standard part of the financing landscape, providing companies with a stake in the growth of AI development.

The full discussion can be found on Bloomberg Technology's YouTube channel.

Broader Compute Demand and Supply

Looking beyond the major AI labs, Araghi addressed the compute needs of other companies within Franklin Venture's portfolio. She confirmed that the demand for AI compute is far from being met, with even major players like the 'Magnificent Seven' companies actively seeking and securing these resources. Furthermore, she pointed to new providers of compute power, such as Meta and SpaceX, who are beginning to monetize their infrastructure. Araghi expressed confidence that while supply chain bottlenecks and rising costs are present, these issues are expected to resolve over time.

AI Fears and Productivity Gains

In response to recent reports about a vulnerability in OpenAI's models, Araghi offered a more measured perspective, suggesting that some of the fears surrounding AI are being overstated. Citing a conversation with Jensen Huang, she agreed that the narrative around AI-driven job losses and general fear is becoming excessive. Araghi emphasized the significant productivity gains that AI can deliver, provided that appropriate guardrails are established. She argued against fostering an environment of fear, which can hinder AI adoption and create negative perceptions, such as resistance to data center development.

Big Tech Earnings and AI Spending

The conversation then shifted to the upcoming earnings reports from major tech companies, including Alphabet (Alphabet Inc. (NASDAQ:GOOGL)), Tesla (Tesla Inc. (NASDAQ:TSLA)), and IBM (IBM (NYSE:IBM)). Araghi highlighted that AI spending is a common thread across these tech giants, but the nature of this spending and its expected returns differ. She anticipates that Alphabet's earnings will set the tone for hyperscaler capital expenditures, with investors keen to see how accelerated AI development translates into cloud revenue growth. Regarding Tesla, Araghi noted the company's significant AI ambitions and the ongoing discussion about the interplay between Tesla's capital expenditure and its relationship with SpaceX, suggesting that a clearer picture of these investments is still needed.