Build for the Future. Be Ready to Sell.

The AI investment dilemma facing PE owners—and the conflicting mandate it can create for portfolio company leaders

A private equity owner planning to exit a SaaS business in two or three years faces a genuine dilemma.

AI investments that improve earnings before the sale offer something visible. The owner can point to lower costs, stronger margins or faster growth and explain what has changed.

Other investments may build a more valuable business over a longer period. They might improve how the company develops products, serves customers or scales. But their full financial contribution may not appear before the owner wants to sell.

The second path could produce a higher exit value. It also requires a buyer willing to recognise and pay for benefits that have not yet fully materialised.

Is a bird in the hand worth two in the bush?

For the owner, that is a legitimate investment question. For the portfolio company’s leadership, it becomes an operating problem when the owner leaves the question unanswered but expects management to deliver both outcomes.

Creating value and capturing it at exit

The value an investment creates for a business and the value its current owner captures at sale are connected, but they are not identical.

Suppose a SaaS company invests in redesigning its customer onboarding process. AI is part of the change, alongside better data, clearer responsibilities and tighter connections between sales, implementation and support.

The investment could allow the business to bring customers live more reliably, serve more accounts without proportionately increasing staffing, and reduce problems that later affect retention.

Some benefits might appear quickly. Others need time to establish themselves across customer cohorts and financial results.

At exit, the seller may see a business with substantially better economics ahead. The buyer may see promising progress, unfinished work and execution risk.

Both can be reasonable assessments.

The seller has paid to build the capability. The buyer will bear the cost and risk of completing the work. The transaction price determines how much of the future benefit each captures.

That makes an immediate, sustainable cost reduction attractive. It may offer less total potential, but there is less distance between the improvement, the evidence and the seller’s ability to realise a return.

An owner choosing that route is not necessarily failing to understand AI. It may be making a deliberate judgment about timing and risk.

The dilemma travels down to management

The difficulty begins when the investment trade-off is passed to portfolio company leaders as two apparently compatible instructions:

“Build a business capable of sustainable, long-term growth.”

“Deliver the savings we need before exit.”

Those instructions can coexist. But doing so requires decisions about funding, sequencing, acceptable risk and how much released capacity can be reinvested.

Without those decisions, leadership has to infer which instruction matters most.

The annual budget may assume headcount savings. Board meetings may emphasise near-term margins. Executive incentives may reward financial results within the remaining ownership period.

Under those conditions, management has a strong reason to select AI initiatives that produce a readily reportable result.

Work with a less immediate payoff becomes harder to justify. Cross-functional redesign competes with departmental savings. Training competes with cost targets. Improving data competes with deploying something visible.

The owner may believe it has commissioned a transformation. Management may reasonably conclude that it has been commissioned to deliver an efficiency programme before sale.

How the mandate shapes AI adoption

Consider an illustrative software development initiative.

AI helps developers complete certain coding tasks faster. The initial results are encouraging, and management estimates the capacity released.

What happens next depends heavily on the ownership mandate.

Leadership could use that capacity to improve testing, address product weaknesses or remove delivery bottlenecks. It could establish whether the business can reliably deliver the required outcomes with fewer resources. It could then make a better-informed decision about growth, reinvestment and expenditure.

But if the budget already includes a staffing reduction, much of that decision has been made.

The team is under pressure to translate task-level gains into a financial result, even if it has not yet established what those gains mean for the wider development process.

That does not guarantee a bad outcome. The saving may be achievable and sustainable. The problem is that the financial commitment can get ahead of the operating evidence.

Repeated across functions, this creates a plausible route to shallow AI adoption: separate teams demonstrate local improvements, while leadership has limited room to examine how the changes interact.

Research supports taking that wider design seriously. McKinsey’s March 2025 survey found workflow redesign had the strongest association with reported generative-AI EBIT impact among the organisational attributes it examined. That does not prove ownership pressure causes weak results, but it reinforces the importance of looking beyond individual deployments. McKinsey’s research

A buyer needs more than a compelling story

The longer-term investment path depends partly on whether management can make emerging value credible before it is fully reflected in earnings.

That requires a distinction between value that has not yet reached the financial results and value that cannot yet be demonstrated.

A company may have evidence that onboarding is becoming more repeatable, customers are adopting the product more successfully, or delivery capacity is increasing without equivalent cost growth. Those findings can help a buyer assess future performance.

An AI roadmap and a collection of pilots provide a weaker basis.

Management needs to explain what has changed, show that the improvement is repeatable, connect it to business economics, and identify the remaining costs and risks. McKinsey’s work on exit preparation makes a similar case for an equity story supported by evidence of both current performance and future potential. McKinsey on exit preparation

Even then, a premium is not assured.

A sophisticated buyer may understand the opportunity and still decline to pay the seller for all of it. The buyer may need to fund further development, retain key people or absorb the risk that expected benefits fail to materialise.

Good communication helps make value assessable. It cannot remove the commercial negotiation over who gets paid for it.

The bird in the hand needs examining too

Near-term savings can look more certain than future growth. That certainty also needs evidence.

A reduction in expenditure that preserves product quality, customer outcomes and essential capability is a strong result.

A reduction that defers maintenance, transfers work to another team or weakens customer service is a different proposition. Its consequences may emerge during diligence—or become evident to buyers in the forecasts and investment requirements.

The owner therefore faces uncertainty on both paths.

Longer-term investment carries the risk that benefits will not arrive, or that buyers will not pay for them. Immediate extraction carries the risk that the saving will undermine the business or prove less sustainable than it appears.

The choice deserves more scrutiny than “cash now versus ambition later.”

Give leadership an explicit mandate

Owners do not need to abandon financial discipline or accept an indefinite transformation programme. They do need to resolve the trade-offs that leadership cannot settle alone.

A workable mandate should make clear:

• Which results must be realised before exit, and which can be demonstrated through credible operating evidence.

• How much early capacity or financial benefit management can reinvest.

• What must be proven before savings become staffing or budget commitments.

• Which longer-term capabilities are important enough to fund within the remaining ownership period.

• When the owner and management will reconsider the plan as evidence develops.

That gives leadership a basis for making choices. It also makes accountability fairer. Management can be judged against an agreed investment approach, rather than being expected to reconcile competing priorities through execution alone.

The question for PE owners is how much durable value they can create, demonstrate and capture within their ownership window.

The question for portfolio company leaders is whether they have the authority and resources to pursue that answer.

If owners ask leadership to build for the future while requiring every early gain to be taken out before exit, they have already chosen a strategy. They should make that choice explicit.