Key Takeaways
- Bernstein identifies “control planes” as the critical infrastructure layer that will coordinate AI capabilities across enterprises
- Infrastructure-as-a-Service and Platform-as-a-Service providers are positioned to capture the most value from AI transformation
- Traditional software companies face pricing challenges, but the sector’s demise is exaggerated
- Usage-based billing models and AI feature bundles represent the new path to growth
- Market fears about AI destroying software demand are overblown, according to Bernstein’s analysis
In a comprehensive five-year projection, Bernstein has outlined how artificial intelligence will fundamentally transform the enterprise software landscape. The central thesis: AI represents an evolution in how software value is generated and monetized, not an existential threat to the industry.
At the heart of Bernstein’s analysis is the concept of the “AI control plane” — a critical infrastructure tier that orchestrates AI capabilities, data pipelines, and autonomous software agents throughout an organization. The firm contends that businesses controlling this foundational layer will emerge as dominant players in the coming years.
Bernstein takes a decidedly near-term view, asserting that AI’s impact on enterprise software is already materializing, rather than being a distant concern for future planning cycles.
Infrastructure Providers Are the Primary Beneficiaries
According to Bernstein’s forecast, cloud infrastructure companies — particularly those delivering Infrastructure-as-a-Service and Platform-as-a-Service offerings — are positioned to reap the greatest rewards. The appetite for both specialized GPU computing and conventional processing power continues to surge.
This momentum is expected to intensify as “agentic AI” — autonomous software systems designed to accomplish complex objectives independently — gains traction within enterprise environments. These sophisticated systems require substantial computational infrastructure to operate effectively.
Bernstein also anticipates significant expansion in database utilization. The firm projects accelerating migration from legacy on-premises architectures toward cloud-native and AI-optimized database platforms.
Rather than viewing this as market contraction, Bernstein frames it as a substantial expansion of addressable opportunities for leading technology providers.
Winners and Losers in the Software Sector
Bernstein makes important distinctions between software categories likely to struggle and those positioned for resilience. Traditional enterprise products relying on perpetual licensing models face significant margin compression.
The MSCI World Software and Services Index has declined over 20% year-to-date, signaling widespread investor anxiety about AI-driven disruption. Bernstein characterizes this market reaction as excessive and indiscriminate.
According to the firm’s analysis, AI hasn’t destroyed software demand — it has fundamentally altered pricing dynamics. In IT services, for instance, the billing model is transitioning from hourly labor charges to outcome-based pricing structures.
Software vendors that can demonstrate measurable increases in product adoption and engagement stemming from AI capabilities will be best equipped to restore market confidence.
Industry perspectives reinforce this view. Ido Arieli Noga, CEO of Yuki, contends that AI agents don’t displace data platforms — they depend on them. He cautions that widespread agent deployment could drive dramatic spikes in infrastructure demand as AI systems execute continuous, 24/7 data queries.
Bernstein acknowledges a significant caveat to its optimistic outlook: if computational and energy costs escalate dramatically, the economic viability of large-scale AI infrastructure buildouts could face serious constraints.
The firm emphasizes that investors should focus on new performance indicators: active usage metrics, AI feature adoption rates, and consumption-driven recurring revenue streams — rather than relying solely on traditional top-line growth figures.
Bernstein released this analysis on April 19, 2026.
