What CMOs Need to Know About AI Marketing in 2026

By 2026, AI in marketing has moved from experiment to expectation. CMOs are being asked to deliver more personalisation, faster iteration, and clearer ROI — often with similar or smaller teams. The answer isn’t "more people"; it’s smarter use of AI across the full funnel.

Strategy and planning are the first lever. AI can synthesise market data, competitor moves, and audience behaviour to suggest where to invest and which segments to prioritise. That doesn’t replace judgment — it gives leaders a fact base so they can spend more time on positioning and creative direction and less on manual reporting.

Execution is where many see the biggest gains. From dynamic creative and copy to campaign setup and budget allocation, AI can handle a growing share of repetitive work. The best setups keep humans in the loop for brand voice and big bets while automating optimisation and reporting.

For CMOs, the priority is less about picking a single "AI tool" and more about having a coherent stack: data that flows across channels, clear ownership of strategy and brand, and systems that can act in real time. At Infloso, we built Molly to operate as that kind of layer — an AI marketer that strategises, runs, and optimises campaigns with full transparency, so marketing leaders can focus on what only humans can do.