TLDR
- Bernstein says AI is reshaping enterprise software around “control planes” — infrastructure that manages AI capabilities
- Cloud infrastructure layers (IaaS and PaaS) are set to benefit most from the AI shift
- Legacy software faces real pressure, but demand isn’t disappearing — it’s being repriced
- Consumption-based pricing and premium AI bundles are the new growth engine
- The “death of software” narrative is overstated, says Bernstein
Bernstein has released a five-year outlook on how artificial intelligence will reshape the software industry. The firm’s main argument: AI is not killing software, it’s changing how value is created and captured.
The report introduces the idea of an “AI control plane” — a foundational infrastructure layer that manages and coordinates AI tools, data flows, and software agents across a business. Bernstein says companies that own this layer will be the long-term winners.
The firm puts itself firmly in the camp that says AI is already having a real impact on enterprise software, not something to worry about years from now.
Cloud Infrastructure Stands to Gain Most
Bernstein expects the biggest gains to go to cloud infrastructure providers — specifically those offering Infrastructure-as-a-Service and Platform-as-a-Service products. Demand for both GPU and standard computing capacity is rising fast.
That growth is expected to accelerate as “agentic AI” — software that operates autonomously to complete goals — becomes more common inside large companies. These systems need heavy back-end support to function.
Database usage is also projected to grow. Bernstein expects more businesses to move away from on-premise legacy systems toward cloud-based and AI-native database solutions.
The firm sees this as an expansion of the total addressable market for major tech players, not a shrinking of it.
Not All Software Is Equal
Bernstein draws a clear line between software that is vulnerable and software that is resilient. Legacy products built on traditional license sales face real pricing pressure.
The MSCI World Software and Services Index has dropped more than 20% this year, reflecting broad market fear about AI disruption. Bernstein says that reaction has been too broad.
The firm argues AI did not eliminate demand in software — it repriced it. The shift in IT services, for example, is moving from billing for hours of work to billing for outcomes.
Companies that can show AI features are driving actual usage growth within their existing customer base will be better positioned to recover investor confidence.
Industry voices add to this picture. Ido Arieli Noga, CEO of Yuki, argues that AI agents don’t replace data platforms — they pull data from them. He warns that rising agent use could trigger a surge in infrastructure consumption as AI systems generate queries around the clock.
Bernstein flags one key risk to its own thesis: if the cost of compute and power rises sharply, the economics of building out AI infrastructure could face real limits.
The firm says the new financial metrics that matter are usage rates, attach rates for AI features, and recurring revenue tied to consumption-based pricing — not just headline revenue growth.
Bernstein’s report was published April 19, 2026.
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