Key Takeaways
- Bernstein identifies “control planes” as the critical infrastructure layer managing AI capabilities across enterprises
- Infrastructure-as-a-Service and Platform-as-a-Service providers positioned for substantial growth from AI adoption
- Traditional software companies face pricing transformation rather than elimination
- Revenue models shifting toward consumption-based pricing and premium AI feature bundles
- Market fears about software’s demise are exaggerated, according to the firm’s analysis
Bernstein’s newly published five-year forecast examines artificial intelligence’s transformation of the software sector. The central thesis: AI represents a shift in value creation and capture mechanisms rather than an existential threat to software.
The research introduces the concept of an “AI control plane” — a core infrastructure tier that orchestrates AI applications, information streams, and autonomous agents throughout an organization. According to Bernstein, ownership of this foundational layer will determine long-term market leadership.
The firm positions itself among analysts who view AI’s impact on enterprise software as an immediate reality rather than a distant concern.
Infrastructure-as-a-Service and Platform-as-a-Service Lead the Pack
Bernstein projects the primary beneficiaries will be cloud infrastructure vendors, particularly those delivering IaaS and PaaS offerings. Demand for GPU resources and conventional computing power continues its sharp upward trajectory.
This expansion will intensify as “agentic AI” — autonomous software systems designed to achieve specific objectives — proliferates within enterprise environments. These applications require substantial computational resources to operate effectively.
Database adoption will similarly accelerate. Bernstein anticipates increased migration from on-premise legacy infrastructure toward cloud-native and AI-optimized database platforms.
The firm characterizes this trend as market expansion for leading technology companies rather than contraction.
Software Categories Face Different Fates
Bernstein distinguishes between vulnerable and resilient software categories. Traditional products relying on conventional licensing models encounter significant pricing headwinds.
The MSCI World Software and Services Index has declined over 20% year-to-date, signaling widespread investor anxiety regarding AI-driven disruption. Bernstein views this market reaction as overly indiscriminate.
According to the firm’s analysis, AI has transformed pricing structures rather than destroyed demand. The IT services sector illustrates this shift, moving from hourly billing toward outcome-based compensation models.
Companies demonstrating that AI capabilities drive measurable usage expansion among current customers will find themselves better positioned for renewed investor support.
Industry perspectives reinforce this analysis. Ido Arieli Noga, CEO of Yuki, contends that AI agents depend on data platforms rather than supplant them. He cautions that widespread agent deployment may spark infrastructure consumption spikes as AI systems generate continuous query loads.
Bernstein identifies one major threat to its forecast: significant increases in compute and energy costs could impose meaningful constraints on AI infrastructure economics.
The firm emphasizes that relevant financial indicators now include feature adoption rates, AI capability attachment rates, and consumption-driven recurring revenue — extending beyond traditional top-line growth metrics.
Bernstein released this analysis on April 19, 2026.
