AI Is Making It Easier To Build the Wrong Thing

AI is lowering the cost of building products, but it is not lowering the cost of choosing badly. As organisations generate more concepts and prototypes, decision quality becomes the strategic bottleneck.

In brief

• AI is making it easier to create products, increasing the importance of deciding which opportunities deserve attention and investment.
• Human-centred discovery helps teams focus on customer value, feasibility, trust and commercial impact before scaling.
• Strong product investment decisions come from validated learning, clear governance and disciplined funding choices.

AI has changed the economics of product creation

Product ideas once had to overcome the effort required to create them. Research took weeks, prototypes required specialist teams and engineering capacity was scarce. AI is removing those barriers. Teams can now produce convincing ideas and working prototypes before anyone has established that customers need them, that they are financially viable or that the organisation can operate them responsibly.

That changes the challenge for product leaders. With many plausible ideas available, output is a weak measure of progress. Competitive advantage comes from deciding which opportunities deserve investment, which need to change and which should stop.

EY’s 2026 CEO Outlook reflects this shift. As organisations move from AI experimentation to targeted, enterprise-scale adoption, leaders are focusing on where AI can improve productivity, transform decision-making and create differentiated customer value. Against a backdrop of cost pressure and sharper capital allocation, AI programmes will increasingly need to demonstrate tangible improvements in cost, speed, quality and value creation to justify further investment.

As AI lowers some barriers to experimentation, executive attention, investment capital, customer trust and organisational capacity to scale remain limited. More prototypes compete for these resources, making the choice of where to invest increasingly important.

The cost of the context gap

There is a gap between what AI can generate and what a business can justify building. AI does not inherently understand an organisation's customers, priorities, regulatory requirements and operating conditions. Without that context, teams can build workable solutions to the wrong problem.

AI products also raise a different evidence bar. Teams must test data quality, key risks and where people must remain in control. The EY Global AI Sentiment Survey, based on more than 18,000 people across 23 markets, found that 16% had already used AI that acts on their behalf, while adoption was outpacing trust. Trust and oversight therefore need to be designed into the business case from the start.

The Human-Centred AI Product Strategy Framework

TRIGGER → DISCOVERY CYCLE → VISION → SCALING THE VISION

The framework has four stages, but its value lies in the decisions made within it. At each point, leaders should ask what evidence has been created and whether it justifies the next investment.

Discovery is the centre of the framework because it turns assumptions into proof. AI can speed up analysis, exploration and prototyping, but people still frame the problem, interpret what is learned and decide whether the opportunity should progress. Learning from weak ideas before scaling them helps teams avoid repeating mistakes and protects investment.

What product leaders should do differently now

• Measure validated learning. Track how quickly teams reduce material uncertainty rather than counting concepts or prototypes.
• Separate funding for discovery from funding for scale. Use small, bounded investments to create evidence. Release larger commitments only when explicit thresholds are met.
• Set the evidence bar before seeing the prototype. Agree customer, commercial, operational and trust outcomes in advance so polish cannot substitute for proof. 
• Reward intelligent stopping. A team that reshapes or stops a weak idea has protected capital for a stronger opportunity.

From abundance to advantage

EY Studio+ helps organisations connect customer insight, product and service innovation, commercial strategy, design, technology and responsible AI. This approach helps teams move from early ideas to products with greater confidence, using evidence to guide each investment decision.

The winners in the AI era will learn what is worth building, make better investment decisions and have the discipline to stop everything else.