How do you turn shiny new technology into actual brand growth? That was the question on the table in a live Brandweek session of Adspeak with Adweek, hosted by Mark Stenberg, featuring three senior marketing leaders with very different vantage points on the same problem.
The panel brought together Cheryl Guerin, EVP of global brand strategy and innovation at Mastercard; Nick Hammitt, CMO at Newell Brands; and Edwin Wong, head of global measurement science at Uber Advertising. Between them: a global payments brand, a multi-brand CPG portfolio, and a fast-growing commerce media network. The through-line of the discussion was how AI, personalisation, measurement and emotional storytelling are collectively rewiring how modern marketing gets done.
“Human-initiated and AI-amplified”
The most portable idea from the session is a workflow principle: keep humans at the start of the process and let AI scale what follows. The panel described this as “human-initiated and AI-amplified” work — a framing that answers the question most brand teams are quietly wrestling with, which is how to compress content production timelines without letting brand voice drift.
That matters more in India than the phrasing suggests. Multi-language, multi-market content demands here are exactly the kind of volume problem generative AI solves well — and exactly where consistency collapses fastest if nobody owns the brief and the final read. The distinction between AI generating a first idea versus AI multiplying a human-approved one is not semantic; it decides whether output stays on-brand at scale.
AI personas as a speed play, not a replacement for research
Another practical thread: proprietary AI-powered consumer personas, used to pressure-test ideas faster before they go into market. The session also touched on AI-powered “digital twins” as a way to validate concepts early.
For marketers, the value here is cycle time. If a synthetic persona can kill three weak routes in an afternoon, real consumer research gets spent on the two routes that actually deserve it. The risk, of course, is treating a model’s output as ground truth. Used as a filter it accelerates decisions; used as a verdict it launders assumptions.
Attention and brand lift do the arguing for you
Measurement was the other centre of gravity, unsurprising with Uber Advertising’s measurement lead in the room. The panel positioned attention metrics and brand lift as increasingly essential to proving advertising ROI — particularly for high-touch, premium placements that struggle to justify themselves on last-click logic alone.
They also flagged contextual and temporal relevance as outperforming traditional targeting. In other words: the right message, in the right context, at the right moment can beat a finely sliced audience segment. That is a meaningful shift for planners raised on audience-first buying, and it plays directly into the rise of retail and commerce media, where context is the inventory.
What to take back to your team
- Write the AI rule before the AI tool. Decide which steps must be human-initiated and put it in your creative process document.
- Use synthetic personas as a screening layer ahead of, not instead of, real consumer testing.
- Add attention and brand lift to your reporting deck so premium and high-impact media has a defence beyond clicks.
- Brief for context and timing, not just audience segments — moment-based relevance is becoming a planning variable.
- Audit your brand across senses. The panel discussed multisensory branding as a trust-building framework across touch points; sonic and tactile cues are still under-used by most brands.
Why it matters
Most AI conversations in marketing still oscillate between hype and dread. What is useful about this panel is that all three leaders framed AI as an operating question — who initiates, who approves, what gets measured — rather than a creative one. Guerin’s remit at Mastercard spans brand strategy, AI transformation, advertising, media and insights; Hammitt oversees enterprise marketing across brand management, insights, AI, digital, creative, ecommerce and loyalty at Newell. In both cases AI sits inside the marketing operating model, not beside it.
That is the real playbook signal for marketers watching from the outside: the competitive edge is not access to the models. It is the discipline around them.
Source: Adweek
