Artificial Intelligence made headlines in 2023, but where is it headed now? ChatGPT and other generative AI tools have directly benefited a handful of stocks so far. According to Allianz GI, the next wave of AI advancements should expand opportunities to other companies within the ecosystem.
“This initial buildout of AI infrastructure lays the critical foundation for further disruptions as companies across various sectors leverage generative AI capabilities,” they argue.
According to Allianz GI’s latest report, the next phase of generative AI adoption and growth should benefit a broader ecosystem, including AI applications and AI-enabled industries in the coming years. “We are still in the early stages of AI infrastructure buildout and generative AI adoption. Unlike previous innovation cycles, where agile startups disrupted larger incumbents, this time, tech giants have been the initial beneficiaries. These tech giants have more resources, unique data sources, and significant infrastructure capabilities to train large language models (LLMs) and seize early opportunities with generative AI,” the manager notes.
So far, they believe that much of the outperformance in stocks has been concentrated in a select group of AI infrastructure and tech giant companies in this initial phase. Specifically, a handful of semiconductor companies whose accelerated computing chips are crucial for AI training, and major hyperscale internet and cloud providers who quickly leveraged generative AI and showed some early monetization.
“Continued developments in generative AI and large language models (LLMs) have driven much stronger demand for AI infrastructure so far, causing some supply constraints as hyperscale cloud platforms invest heavily to meet the rising demand from corporations and governments worldwide. Demand is expanding into other areas like next-generation networks, storage, and data center energy infrastructure to support the explosive growth of new AI workloads,” the report comments.
Allianz GI also observes a new wave of AI applications incorporating generative AI capabilities into their software to drive more value and automation opportunities. “Many companies in AI-enabled industries are also increasing investments in generative AI to train their own industry-specific models on proprietary data or insights to better compete and innovate in the future,” they state.
However, they warn that many of these new AI use cases are still in the pilot development phase and are not yet monetizing or contributing to earnings. They explain that, along with higher interest rates for a longer period in 2024, there has been greater dispersion in stock performance between infrastructure, software/applications, and other sectors so far this year. The market is taking a wait-and-see approach to valuing the benefits of generative AI in the broader ecosystem at this time. Allianz GI expects more clarity on the impact in the coming year as new applications and use cases emerge with each generation of better AI chips and as these AI models become smarter.
“In general, the AI innovation cycle is just beginning. The initial buildout of AI infrastructure sets the stage for more companies across various industries to leverage generative AI capabilities and catalyze the next phase of adoption and growth. In this next phase of disruption and change, there will be significant opportunities to generate alpha through active stock selection in AI applications and AI-enabled industries,” they conclude.
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