Bernstein Identifies Software Winners as AI Agents Transform Enterprise Tech

Key Takeaways

• Bernstein identifies “AI control planes” as the critical infrastructure layer that will determine winners in enterprise software
• Infrastructure-as-a-Service and Platform-as-a-Service providers positioned for strongest growth
• Traditional software companies face pricing challenges, but market demand remains robust
• Revenue models shifting toward consumption-based billing and AI feature premiums
• Predictions of software’s collapse are exaggerated, according to Bernstein’s analysis

Investment research firm Bernstein has published a comprehensive five-year forecast examining artificial intelligence’s impact on the enterprise software sector. Their central thesis challenges the doom-and-gloom narrative: AI isn’t eliminating software, but fundamentally altering where value accumulates.

Central to Bernstein’s analysis is the concept of an “AI control plane” — a foundational architecture that orchestrates AI applications, manages data pipelines, and coordinates autonomous software agents throughout an organization. Bernstein contends that businesses controlling this infrastructure layer will emerge as dominant players.

The research firm positions itself among analysts who view AI’s enterprise impact as immediate rather than speculative, requiring strategic response today rather than preparation for a distant future.

Infrastructure Providers Emerge as Primary Beneficiaries

According to Bernstein’s forecast, cloud infrastructure companies—particularly those delivering Infrastructure-as-a-Service and Platform-as-a-Service offerings—stand to capture the largest share of AI-driven growth. Demand for both specialized GPU resources and conventional compute power continues climbing steeply.

This trajectory is anticipated to intensify as “agentic AI” proliferates—software capable of autonomous operation toward defined objectives—throughout enterprise environments. Such systems require substantial computational infrastructure to maintain performance.

Database platforms also represent a growth area in Bernstein’s view. The firm anticipates continued migration from on-premises legacy architectures toward cloud-native and AI-optimized database technologies.

Rather than market contraction, Bernstein interprets these trends as total addressable market expansion for leading technology companies.

Winners and Losers Emerge Along Clear Dividing Lines

Bernstein’s analysis distinguishes sharply between vulnerable and resilient software categories. Legacy offerings dependent on traditional licensing models confront significant pricing headwinds.

The MSCI World Software and Services Index has plummeted over 20% year-to-date, signaling widespread investor anxiety regarding AI disruption. Bernstein characterizes this market reaction as indiscriminate.

Rather than demand destruction, the firm describes the phenomenon as demand repricing. In IT services specifically, billing models are transitioning from time-based charges to outcome-based compensation.

Software vendors demonstrating that AI capabilities drive measurable usage expansion among existing customers will be best equipped to restore investor confidence.

Industry perspectives reinforce this framework. Ido Arieli Noga, CEO of Yuki, emphasizes that AI agents complement rather than supplant data platforms—they extract information from them. He cautions that widespread agent deployment could spark exponential growth in infrastructure consumption as AI systems generate continuous query streams.

Bernstein acknowledges a significant risk to its outlook: if compute and energy costs escalate dramatically, the economic viability of AI infrastructure buildout could face meaningful constraints.

According to the firm, relevant performance indicators have shifted to include usage metrics, AI feature adoption rates, and consumption-based recurring revenue—beyond traditional top-line growth figures.

Bernstein issued this research report on April 19, 2026.