A transformative stage in the AI market is compelling investors to distinguish between the successes and failures within Big Tech, prompting a reassessment of whether struggling software stocks might serve as a safeguard against the increasing unpredictability of the semiconductor sector and the intertwined dynamics of the AI landscape. Cyrus Mewawalla, the head of strategic intelligence at GlobalData, notes that major cloud-focused companies, or hyperscalers, are reaping the rewards of converting AI investments into substantial sales, amplifying the divide between winners and losers in the space. Analysts from Deutsche Bank have identified software as a potential buffer against the rising volatility of semiconductor stocks.
In a conversation on CNBC's "Squawk Box Europe," Mewawalla pointed out that investors have grown quite anxious about technology stocks as they have yet to witness robust revenue generation from AI initiatives. The top four hyperscalers—Meta, Amazon, Google, and Microsoft—have collectively invested around $1.1 trillion since the beginning of 2023, a trend fueled by the launch of OpenAI’s ChatGPT. This year alone, these companies are expected to invest approximately $750 billion. Amazon, Microsoft, and Google are notably accelerating growth in cloud revenues, much of which is driven by demand from AI firms like Anthropic. In contrast, both Apple and Meta have witnessed significant declines in their stock prices. Mewawalla described the current state of the tech sector as "tense."
While he does not foresee any immediate risks to semiconductor stocks, he highlighted numerous other risks associated with the AI ecosystem. He referenced the interconnected web of investments linking hyperscalers, AI entities, and data center operators, expressing that "everybody’s got a little investment in somebody else." According to Mewawalla, even a minor disruption could trigger a cascade of negative effects in the market, as illustrated by recent incidents like the Situational Awareness controversy.
Amid concerns about a potential AI bubble, investors are racing to identify chipmakers that will remain vital for AI development. Mewawalla specifically mentioned Nvidia, known for its GPUs that provide necessary computational power, along with select memory chip manufacturers such as Samsung, SK Hynix, and Micron. With the delicate balance between the short-term advantages of semiconductors and long-term uncertainties affecting investors’ decisions, Deutsche Bank analysts believe software could stand out as a relative victor and mitigate volatility related to chip investments.
Deutsche Bank's note on Monday indicated that while semiconductor-focused portfolios have driven index performance significantly and have also contributed to volatility this year, when volatility was factored in, a blend of software and semiconductor investments yielded a lower return than a pure semiconductor portfolio. Additionally, short selling against software stocks has gradually decreased since its peak in March, amid fears sparked by the so-called "SaaSpocalypse," where the market reacted to the perceived threats of advanced AI to traditional software business models.
Experts like Maximilian Uleer and Johannes Schaller have cautioned that investors may be underestimating the capacity of established software companies to adapt and leverage AI within their existing frameworks. Although Deutsche Bank has revised its outright overweight position in software following a recent market upswing, it continues to view software favorably as a means of diversification in investment portfolios. “Integrating software into investment strategies remains an effective way to hedge against market volatility,” the analysts concluded.
