Reiser's Pieces: The AI Advantage Most Brands Are Missing
AI isn’t creating competitive advantage. Better decisions are. Teams are drafting content, summarizing research, tracking competitors, and building scenarios faster than ever. But speed alone is not the advantage. The value is whether that speed leads to better decisions and stronger business outcomes.
That’s the progression brands need to make: from activity, to productivity, to decision advantage. Inside the business, they need to improve how work gets done and decisions get made. In the market, they need data, content, evidence, and performance signals that AI systems can understand and act on.
Miss either side, and the advantage breaks down. A faster organization with disconnected market signals can still lose visibility. A brand with strong signals but a fragmented operating model will struggle to act on them.
Many companies still haven’t moved much beyond activity. Teams are applying AI in different ways, without a shared view of which use cases matter most, who owns the decisions, or how the work connects to business performance.
That’s where activity needs to turn into productivity. A good place to start is by mapping AI to a few clear jobs: research, decide, execute, and review. That shifts the conversation from tools to where AI can create real business value.
And it means being clear about where AI should create speed and where human judgment still has to lead.
AI is well suited to high-volume work that can be checked and corrected. Competitive monitoring, research, retailer tracking, scenario development, and content development can all move faster with the right oversight.
Here’s what this can look like in practice.
Recently, a leading men’s personal care brand used AI-powered analysis, guided by ecommerce and retail expertise, to benchmark its Walmart.com PDPs against two direct competitors across ten quality dimensions. The brand led on certifications and review volume, but its top SKUs lacked product video, a gap its closest competitor had already closed. Armed with that quantified finding, rather than a general sense that “content could be better,” the team prioritized video for its five highest-traffic listings this quarter, a targeted fix that could have taken weeks to surface through an unaided manual audit.
And that gets to an important point. Many decisions still require experienced human judgment and clear ownership. Scientific claims, regulatory responses, sourcing standards, pricing moves, and the promises a brand makes to consumers cannot be left to an unnamed system. AI can strengthen the inputs, but someone with the right expertise still has to make and own the call. We’re helping many clients map those choices: where AI can accelerate the work, where judgment must stay in human hands, and what safeguards are needed to turn experimentation into a repeatable capability.
That map should draw a clear line. AI can run high-volume, reversible tasks with human oversight. It can support analysis and drafting where an experienced person still makes the call. When brand, scientific, legal, or ethical accountability is at stake, human judgment stays in charge. That’s where productivity becomes decision advantage.
Start with one 90-day move: accelerate one workstream, name the human checkpoint, and identify one judgment call you will deliberately protect.
But the operating model is only half the equation.
AI search systems, shopping agents, and retailer models are reading product data, claims, evidence, availability, shopper relevance, and operational performance. If those signals are inconsistent across the organization, the brand becomes harder to understand, recommend, and support.
That is the advantage most brands are missing: a stronger operating model inside the company and one clear, connected brand truth in the market.
The companies that win won’t be the ones using the most AI. They’ll be the ones making better decisions because of it, and turning those decisions into stronger execution.
Jason Reiser is Chief Executive Officer, Market Performance Group
