• by Christine Perkett , Yesterday

Over the past few weeks, I’ve had a series of conversations that all pointed to the same shift.

Investors, founders, and even students experimenting with apps built in hours instead of months. Operators questioning whether they should buy software or simply build it themselves. Leaders rethinking their tech stacks in real time as AI lowers the barrier to product development.

The question that keeps coming up is simple: Why buy when you can build?

It’s a fair question. Increasingly, the answer has less to do with product and more to do with perception.

AI is rapidly leveling the product development playing field. Tools that once required engineering teams, timelines, and capital can now be assembled quickly, often by non-technical users. The gap between idea and execution is shrinking.

But as that gap closes, something else becomes more important.

If anyone can build, not everyone gets chosen.

This is where marketing and communications are re-emerging as strategic priorities at the highest levels of the organization.

Recent research underscores this shift. Gartner predicts that by 2027, mass adoption of large language models will drive a twofold increase in PR and earned media budgets, as AI-driven discovery systems favor credible, third-party content over paid promotions.

In other words, visibility is no longer just about distribution. It’s about being validated, cited, and understood.

AI doesn’t evaluate products the way buyers used to. It synthesizes signals — consistency, authority, and third-party credibility — to determine what surfaces in response to a question. That means a company’s narrative increasingly determines whether it is considered at all. (Do you surface as the answer or an option?)

This is fundamentally changing the role of marketing and PR.

For years, these functions were often treated as downstream — responsible for packaging and promoting what had already been built. Today, they are upstream, shaping how companies are positioned, interpreted, and ultimately selected in a crowded, AI-mediated landscape.

The build-versus-buy conversation makes this especially clear.

A product can be replicated. A narrative can be copied, but credibility cannot.

A feature can be matched. Authority, once established, compounds.

A tool can be assembled quickly. Trust, authority, and market understanding cannot — they are earned over time through consistent proof and sustained resonance.

This doesn’t diminish the importance of product. It reframes it. Product is now the baseline. Narrative is the differentiator.

For marketing leaders, the implication is significant. Success is no longer driven solely by pipeline metrics or campaign performance. It depends on whether the market — and increasingly, AI systems — can clearly understand who you are, what you stand for, and why you matter.

That requires more than messaging. It requires consistency across leadership voices, alignment across channels, and sustained validation through earned media, thought leadership, and third-party signals.

The organizations that recognize this shift are already adjusting. They are investing not just in building products faster, but in ensuring those products are understood, trusted, and chosen.

In a world where anyone can build, the companies that win will be the ones that are best understood — by both the market and the machines shaping it.