The advertising industry is asking the wrong question about AI.
Much of the conversation has focused on efficiency. Can AI lower costs? Automate workflows? Produce more content? Optimise media buying? The answer is yes, but those benefits miss the bigger opportunity.
Perhaps the best way to evaluate AI investments isn’t by asking how much cost they remove. It’s by asking how much revenue they accelerate.
How quickly can a cultural moment become a campaign? How quickly can creative be adapted across channels? How quickly can consumer attention become commercial value? In a world where markets move in real time, the companies that answer those questions the fastest will have a significant competitive advantage.
Time to revenue may become the defining metric of the AI era.
For years, adtech has excelled at optimising transactions. Better bidding. Better targeting. Better measurement. Better media efficiency. Those innovations created enormous value, but they largely optimised how advertising dollars were spent. AI has the potential to optimise something much bigger: how quickly advertising opportunities become business opportunities.
That’s a profound shift. Every marketer faces the same challenge. Spot an opportunity, activate against it, and turn consumer attention into business results. Historically, that process has been slow. A cultural moment emerges, a creator sparks a trend, a retailer launches a promotion, or a sporting event captures millions of fans.
Brands recognise the opportunity, but by the time creative is built, approved, adapted across channels, and launched, the moment itself may have passed.
AI changes that equation. Its greatest value isn’t simply making existing processes faster. It’s compressing the distance between a market signal and a measurable business outcome. The companies that benefit most from AI won’t necessarily have the biggest models or the deepest technology stacks. They’ll be the ones that can identify consumer behavior, activate against it, and generate revenue before the market moves on.
Creative sits at the center of this transformation. For years, it has been advertising’s biggest bottleneck. Media teams could move quickly, but creative production required new assets, endless versions, localisation, approvals, and formatting for every environment. The result was friction between identifying an opportunity and capitalising on it commercially.
AI has the potential to flip that dynamic. Instead of treating creative as a fixed asset, marketers can think of it as modular and adaptive. A creator video that performs in one environment can become a CTV spot. A retail campaign can be personalised across markets. A product launch can evolve in near real time based on consumer response. The goal isn’t to create more content. It’s to commercialise proven creative faster.
This creates a powerful flywheel for growth. Faster testing creates faster insights. Faster insights create faster creative adaptation. Faster adaptation accelerates campaign deployment and optimisation. The result is that advertising investments become business outcomes more quickly. Creative doesn’t simply support growth. Increasingly, it drives it.
The implications stretch across the industry. Publishers can monetise breaking news and emerging trends more quickly. Streaming platforms can capitalise on cultural moments with dynamic sponsorships. Retail media networks can align campaigns with inventory and promotional events in near real time. Agencies can move from lengthy production cycles to agile execution.
Creators can become scalable media businesses with content that travels across platforms. In every case, the common denominator is reducing the time between opportunity and revenue.
What’s particularly compelling is that AI doesn’t simply accelerate production. It creates a continuous feedback loop. Consumer behavior generates signals. AI identifies patterns. Creative adapts. Campaigns launch. Performance is measured. Those learnings feed directly into the next round of optimisation, making every campaign smarter and every commercial opportunity easier to capture.
As media consumption becomes increasingly fragmented, this matters more than ever. Consumers move seamlessly between creators, social platforms, streaming services, retail environments, gaming, and the open web. Traditional planning cycles were built for a more predictable world.
Today’s marketplace rewards agility. The winners won’t necessarily have the biggest budgets. They’ll be the ones that can identify a signal, validate it through creative performance, adapt it across channels, and monetise it while the opportunity still exists.
Ironically, as AI becomes ubiquitous, the technology itself may become less of a differentiator. Access to AI will become table stakes. Competitive advantage will come from stronger creative, richer first-party data, authentic creator relationships, proprietary intellectual property, and a deeper understanding of audiences. AI simply unlocks the value of those assets faster.
I suspect we’ll look back and realise that AI’s biggest contribution to advertising wasn’t simply making work more efficient. It made growth faster.
The companies that win won’t necessarily be those with the most AI. They’ll be the ones that use AI to shorten the distance between an opportunity and a business outcome. In an industry built on capturing attention, the ability to turn advertising opportunities into business opportunities—and compress time to revenue in the process—may prove to be AI’s most valuable contribution of all.
