Dentsu proposes AIJES for AI-era buying behavior

Dentsu and three domestic group companies are trying to put a new name on one of the biggest shifts in advertising: the moment consumers stop searching first and start asking AI first. That matters because if AI becomes the front door to product discovery and decision-making, the companies that control marketing strategy, data and execution will have a chance to defend pricing and relevance in a much more automated world.
The Japanese advertising group on Sept. 10 proposed “AIJES,” a model for AI-era purchasing behavior that maps how people and AI work together across five steps — archive, interaction, judgment, engagement and score. It is also applying for a trademark. The framework is an update to the company’s older “AISAS” model from 2004, which was built around the web and search engines. This time, Dentsu is betting that consumers increasingly ask AI for answers, then use those answers to make choices, rather than relying mainly on search or social media.
For investors, the interesting part is not the acronym. It is the business model behind it. Advertising has always followed attention, and attention is moving. If people increasingly let AI summarize options, compare brands and shape recommendations, marketers will need new ways to win visibility inside AI-driven discovery. That could favor large agencies with the scale to combine strategy, data, customer experience and technology across channels.
Dentsu is positioning itself to capture that work. The company said Dentsu will lead marketing strategy built around AIJES, while Dentsu Digital handles implementation across advertising, owned media, commerce and CRM. Dentsu Institute plans to use its AI development center for applications, AI agents and proof-of-concept work, and Dentsu Macromill Insight will analyze consumer behavior and data. In other words, the group is trying to sell not just ad placements, but a broader transformation service for clients facing a changing purchase funnel.
That is economically important because marketing spending tends to follow the tools that move sales. If AI becomes embedded in the purchasing process, companies will be forced to rethink where they spend money, how they measure effectiveness and which partners can help them adapt. Over time, that could reshape budgets away from pure traffic generation and toward data, personalization, commerce and customer retention. For Dentsu, which has long had to prove it can keep up with faster-moving digital rivals, AIJES is a way to show it still has a relevant playbook.
The company is also making a subtle but important point about human decision-making. Even in an AI-heavy world, Dentsu says the final call still belongs to people, and that judgment improves when consumers gather information from multiple sources rather than relying only on AI. That suggests there will still be room for trusted brands, direct engagement and well-built customer experiences — not a winner-take-all outcome for machines. For long-term investors, that is the more durable takeaway: AI may automate parts of the funnel, but it should not eliminate the value of marketing expertise.
The stock itself has been choppy, with Dentsu Group’s U.S.-listed shares around $21.05 recently, roughly near the 50-day moving average, while technical readings have turned mixed. But investors looking past the next few sessions should care more about whether Dentsu can turn AIJES into client work than about the chart. If the company can translate this framework into recurring consulting, data and execution revenue, it could help stabilize a business line that has been under pressure from shifting media habits.
The bigger story is that AI is no longer just a tech theme. It is becoming a consumer behavior theme, and that has real consequences for the advertising industry. Dentsu is trying to get in front of that change early. For patient investors, that is the kind of strategic repositioning worth watching, even if the payoff takes years to show up.
| Entity | Gains | Losses |
|---|---|---|
| Dentsu Group | ▲New AI marketing relevance | ▼Legacy AISAS model |
| Clients | ▲Better targeting and measurement | ▼Old search-first playbooks |
| AI-native ad rivals | ▲Growth in AI spending | ▼Simple media-buying margins |
| Consumers | ▲More tailored choices | ▼Less reliance on familiar channels |