Amazon.com Inc., Microsoft Corp., and Alphabet Inc. faced a challenging earnings season, as they were expected to demonstrate tangible returns from their significant expenditures on artificial intelligence (AI) infrastructure. Wall Street’s reaction has been less than favorable, with Alphabet’s shares falling by 6.1% since its earnings report, Microsoft’s stock declining in the two days following its results, and Amazon’s shares sliding in premarket trading after its latest earnings release.
In 2024, Silicon Valley anticipated a surge in generative AI applications—technology capable of creating text, images, and videos from simple prompts. The expectation was that such widespread adoption would translate into substantial profits from products like Google’s Gemini and Microsoft’s Copilot. The current shortfall in significant returns has raised concerns about the true value of AI investments.
Daniel Morgan, senior portfolio manager at Synovus Trust, acknowledged the vast potential of AI technology but also noted the growing cost of initial investments. “The opportunity continues to expand, but so do the upfront costs,” he stated. He added that there is skepticism about whether these tech giants can achieve enough profit growth from their extensive infrastructure investments.
Despite the overall disappointment, all three technology leaders reported growth in their cloud-computing divisions, which benefit from the extensive computational resources required by generative AI. However, these gains were insufficient to satisfy investors eager for quicker returns from ongoing substantial expenditures on data centers and AI infrastructure.
Amazon’s (NASDAQ:AMZN) projections for third-quarter operating income fell short of analysts’ forecasts. CEO Andy Jassy has been leading efforts to reduce costs and reallocate resources toward AI. Amazon’s capital expenditures, primarily in its AWS cloud division, totaled USD 30.5 billion in the first half of the year. Jassy has emphasized that advanced algorithms are used to ensure investments build sufficient capacity without impacting profits. He remains confident that these investments will support what is expected to become a multibillion-dollar revenue stream.
Alphabet’s (NASDAQ:GOOG) (NASDAQ:GOOGL) outlook for AI growth was criticized for lacking specifics. Chief Investment Officer Ruth Porat noted the benefits from AI and AI infrastructure, but did not clarify the extent of cloud unit growth attributable to these investments. Despite better-than-expected sales, concerns over capital expenditures of USD 13.2 billion overshadowed the positive results, leading to a 5% drop in shares the following day.
Microsoft (NYSE:MSFT) also faced scrutiny, with slower sales growth for its Azure cloud computing service compared to previous periods. AI contributed 8 percentage points to Azure’s growth this quarter, up from seven percentage points previously. During a call with analysts, CEO Satya Nadella attributed the investments to customer demand, but the question remained whether the growth justifies the substantial spending.
In contrast, Meta Platforms Inc., the parent company of Facebook, reported an unexpected increase in its forecast for capital expenditures due to AI investments, coupled with revenue that exceeded expectations for the second quarter. CEO Mark Zuckerberg highlighted AI’s role in enhancing ad targeting and content recommendations.
Apple Inc. also mentioned that new AI features would drive iPhone upgrades, potentially helping the company recover from a sales slowdown, particularly in China.
To justify the projected trillion-dollar investments in AI infrastructure, companies must demonstrate that the technology can tackle increasingly complex tasks. It is essential that AI evolves beyond incremental improvements in areas like coding and advertising. Jim Covello, head of equity research at Goldman Sachs Group Inc., suggested that the industry could face challenges if significant use cases for AI do not emerge soon. In a mid-July interview, Zuckerberg defended the industry’s substantial spending, urging the market to focus on long-term potential and the strategic necessity of staying ahead in crucial technological advancements.