When AI becomes the front door: How marketing in Singapore will really change in 2026

AI agents will move beyond experimentation to execution. 

In 2025, the shopper landscape in Singapore shifted fast, with more consumers than ever using artificial intelligence (AI) assistants like ChatGPT and Gemini as their first source of information.

Boston Consulting Group reported a 35% jump in shopping-related generative AI use globally, with one in two Singapore consumers using AI tools to help them shop. This marks a fundamental shift: discovery hasn’t disappeared – it has simply moved into AI-driven interfaces that marketers can’t always see.

We are moving from a world of static discovery to one of fluid, autonomous interaction. As expectations for relevance keep rising, brands will have to change how they listen and talk to consumers.

The year 2025 changed how Singaporeans shop. The year 2026 will change how brands answer them.

From visibility to intent: Reading digital body language
In 2026, the most effective marketers will focus less on where discovery happens and more on how intent signals surface. The focus will shift from simple data collection to capturing a deeper understanding of digital body language, such as mood, personality, and even a consumer’s surrounding environment.

I expect more marketers to use AI to decode digital body language in real time – fusing behavioural data with context from many different touchpoints, especially AI-enabled browsers and assistants.

We are already moving from generic AI search to branded AI agents. Platforms like ChatGPT now allow organisations to build their own agents inside the interface. A travel brand, for example, could let customers ask its agent about flights to Tokyo. Even if the customer does not book immediately, that interest becomes a consented, first-party signal indicating real-time intent.

The brands that win in 2026 will be those that focus on what they can control using AI to help them read digital body language at scale and turn those signals into better re-engagement, true one-to-one personalisation, and stronger retention.

In 2026, AI agents will move beyond experimentation to execution. They will increasingly test, deploy, and refine journeys automatically – helping marketers run more experiments, learn faster, and surface next-best actions across channels without manual iteration.

Discovery may become harder to observe, but retention will become easier to automate – provided brands put the right guardrails in place.

The “conductor" era: Composable intelligence reshapes marketing teams in Singapore
Singapore is also entering the age of “composable intelligence,” where marketers increasingly lean on smart, modular AI building blocks informed by brand guidelines, team knowledge, and first-party data.

This isn’t just about productivity; it’s about elevating the marketer to the role of a "conductor." Like a conductor leading an ensemble, marketers will direct a suite of specialised AI agents, autonomous building blocks that execute on brand strategy at scale.

In tightly regulated, highly digital, and multilingual markets like Singapore, I believe we will see many more marketers working alongside suites of AI agents – for example, one supporting the creation of on-brand variants across key local languages, another predicting outcomes for different segments, and another orchestrating channel mix and frequency – all feeding insights back into strategy.

With composable intelligence, teams will spend less time on manual production and more time setting direction – acting as the creative "taste-maker" to curate experiences that resonate locally and scale across markets. This is especially valuable for hub teams in Singapore coordinating regional campaigns without rebuilding journeys from scratch.

What’s holding Singapore marketers back 
Despite the promise, many marketing teams still struggle to realise AI’s full potential. Some leaders still treat AI as optional rather than foundational.

Gartner found that only 15% of CMOs are considered “AI-savvy” by their own CEOs. Skills gaps are another barrier. EY found that only 7% of employees in Singapore use AI in advanced ways to transform how they work.

Data integration remains a major constraint. Research from Radma, Freeform Dynamics, and Confluent showed that 69% of Singapore businesses’ AI rollouts were slowed due to difficulty in integrating new data sources. Context is fluid – if your data isn't streaming in real-time, your AI is essentially operating in the past. Beyond silos, trust, consent, and privacy expectations continue to rise.

What marketers in Singapore must do in 2026
First, build and integrate real-time data foundations. Connect key systems, from websites, apps, CRM, e-commerce, to offline touchpoints, into a reliable first-party data layer. Shift from one-off list uploads to near real-time data flows so customer actions can trigger timely, relevant, meaningful interactions. Most importantly, put Personal Data Protection Act (PDPA)-aligned consent, governance, and access rules in place to safeguard customer data.

Second, close skill gaps and modernise marketing practices across teams. Make AI literacy, experimentation, and data fluency part of every marketer’s role. Encourage training with internal academies and national programs, like SkillsFuture and IMDA TeSA.

Third, embed AI into everyday work. Encourage marketers to treat AI as part of daily customer engagement, and empower teams to apply modular AI agents – from recommendations, decisioning, to content support – across channels and journeys. Set simple guardrails, for example, frequency limits and rules for sensitive audiences, and measure AI against outcomes like retention, customer value, and campaign efficiency.

The marketers who can “compose” with these building blocks will scale experimentation, protect brand integrity, and create experiences that feel both human and high-performing.

Foxtel in Australia, for example, built a “Customer Cortex” combining in-house models and third-party AI agents - reducing cancellations by 10%, lifting conversions by 20%, and doubling purchases from AI-recommended offers within six months.

Marketing in Singapore will move from cost centre to growth engine
In 2026, real-time engagement on owned channels will separate growth leaders from laggards.

Organisations that invest first in integrated data, then in skills, and finally in scaled use of AI and composable intelligence will be better positioned to turn marketing from a cost centre into a clear driver of business performance in the year ahead.