Safe bets are losing bets for the future of QSR brands

Simple categories like sauces are being reimagined as strategic growth levers.

Industry leaders warned that quick-service restaurant (QSR) brands risk fading into irrelevance if they innovate safely instead of thinking outside the box.

“One of the challenges for brands that have a strong core is safe innovation,” Jack Foley, CMO of KFC for South Asia, said during a panel discussion at the QSR Media Asia Conference & Awards 2026 in Singapore.

He urged brands to pursue bolder ideas. “It’s about how we keep pushing the boundaries—pushing for bold innovation or what we call dark horse bets.”

For KFC, even seemingly simple categories like sauces are being reimagined as strategic growth levers. Foley described them as a way that the company can keep their iconic recipes but bring new flavour and variety.

He said that the company has already rolled out permanent dip pots in Malaysia and Singapore, designed to offer variety when it comes to taste, occasion and different use groups.

But while product innovation remains critical, the next frontier is being shaped by artificial intelligence—specifically, the rise of synthetic consumers.

Angelia Teo from The Asian Futurist outlined how her team is using artificial intelligence to simulate future demand through digital personas like ‘Kay Li’, a 19-year-old synthetic consumer from 2036.

“We’ve been using AI technology and building out synthetic consumers so that you can test a wide range of flavours with them,” she said.

At the core of this system is a method Teo calls ‘agitation’—stress-testing consumer preferences against future constraints such as resource scarcity.

“We take future scenarios, and we agitate the consumer, and then we question them: would you be interested in this idea, in this concept, in this flavour?” she explained.

The result is a much more accurate representation of their future needs whilst preserving the potential for breakthrough ideas.

In Kaylee’s world, food choices are increasingly automated. “Most of what I eat, I don’t actually choose,” the AI persona said, describing a system where a digital twin manages diet through a metabolic budget and optimises meals based on schedule and mood.

As Teo noted, “AI will tell us what would be the best foods for us at that particular moment,” ushering in what she called agentic economics and generative engine search, which could fundamentally alter how products are discovered and consumed.

For QSR operators, the convergence of these forces—bold innovation, AI-driven insights, and supply constraints—raises the stakes. Yet Foley emphasised that the fundamentals remain unchanged—taste, convenience, reliability.

As he put it, relevance is rented daily and earning consumer attention will increasingly depend on how well companies balance creativity, technology, and execution.