Investing.com — The rapid ascent of generative AI has ignited an intense, ongoing debate across Wall Street regarding the long-term viability of the traditional software business model.
As investors grapple with the existential risks posed by AI-driven automation, a new comprehensive long-term outlook from Bernstein offers a reassuring perspective.
The software stack is poised for significant disruption through 2030, but the technology is fundamentally expanding the total addressable market (TAM) for key industry players rather than signaling their decline.
According to the report, the disruption catalyzed by generative AI is most beneficial for the “foundation” layers of the tech stack, specifically Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).
Bernstein anticipates that the major hyperscalers will continue to capture solid growth as the demand for both GPU/ASIC and CPU capacity surges to support complex training and inference workloads.
The trend is expected to accelerate significantly as “agentic AI”, or autonomous, goal-oriented software agents, becomes a more pervasive feature in enterprise environments, requiring robust, scalable back-end support.
Within the PaaS layer, Bernstein analysts expect a major shift in how functionalities are utilized by enterprise clients.
As database usage is projected to grow, the research suggests that legacy on-premise systems will continue their inevitable migration to the cloud, making way for more specialized, AI-native database solutions.
The firm’s 5-plus year outlook posits that while new, agile vendors could take the lead in certain specific niches, the overall software ecosystem remains fundamentally resilient.
Far from “ending” the software world as we know it, the successful integration of generative AI is expected to drive entirely new layers of value creation.
Investors should look for companies that can successfully bridge the gap between traditional software needs and the new, compute-heavy requirements of an AI-driven, agentic infrastructure.
The competitive landscape is undoubtedly set to evolve, and the underlying demand for scalable, cloud-based architecture remains robust for the remainder of the decade, signaling that the “death of software” narrative is largely overblown.
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