AI IS TURNING SOFTWARE DISRUPTION INTO A BUYOUT STRATEGY

As AI puts pressure on traditional software valuations, the same uncertainty hurting some software companies is creating an opportunity for buyers willing to acquire established businesses cheaply and rebuild them for an AI-first market.

WHAT’S HAPPENING

Artificial intelligence is creating a strange divide in the software industry.

Investors are questioning whether some traditional software products can maintain their pricing, growth and competitive advantages as AI agents become capable of performing more work themselves.

That uncertainty has pressured valuations across parts of the software sector.

But lower valuations create something else:

buying opportunities.

RBC Capital Markets has argued that AI disruption could accelerate software consolidation, particularly as established companies with strong customers, recurring revenue and valuable data struggle to convince investors that they have a strong enough AI strategy.

That dynamic is beginning to show up in real transactions. Silver Lake is combining European software companies Cegid and Silae into a group valued above €10 billion, with greater scale and AI investment among the strategic goals.

WHY IT MATTERS

AI disruption does not necessarily mean a software company becomes worthless.

It can mean the public market values it differently than a buyer does.

A company may still possess thousands of customers, valuable proprietary data, recurring revenue, established distribution and years of integration into corporate workflows.

What it may lack is a convincing path into the AI economy.

That creates a new acquisition thesis:

Buy the customer base, cash flow and data at a discount — then rebuild the technology around AI.

For private equity, that can be particularly attractive.

Unlike public companies judged every quarter, a private owner can take several years to restructure products, reduce costs, make acquisitions and change the company’s AI strategy before returning it to public markets or selling it again.

WHO BENEFITS

Private-equity firms could gain access to established software businesses at valuations that were difficult to obtain before AI disrupted the sector.

Software companies with valuable customers and data but weak standalone growth prospects could gain access to capital and a longer restructuring timeline.

AI-native companies could also become acquisition targets themselves as older software platforms look for technology capable of accelerating their transformation.

WHO LOSES

Software companies that fail to develop a credible AI strategy face increasing pressure.

The danger is no longer only losing customers to an AI-native competitor.

A company can continue producing revenue and still see its valuation fall if investors believe its long-term position is weakening.

Employees may also face restructuring after acquisitions as buyers look for efficiencies and use AI to reduce operating costs.

And shareholders could see companies acquired at valuations far below the multiples software businesses commanded before generative AI changed expectations.