Advertising Week New York 2026: AI Agents, Creative AI, and New Generations

Advertising Week New York 2026: What the Advertising Industry Discussed

From October 5 to 8, 2026, the annual Advertising Week New York conference took place in The Penn District in Manhattan. It is one of the major international events dedicated to advertising, marketing, media, and advertising technology.

Advertising Week brings together representatives of advertising platforms, technology companies, agencies, and major brands. Unlike conferences organized by individual companies such as Google, Meta, or Microsoft, its program covers nearly every part of the advertising industry, from automated media buying and creative production to consumer behavior and new communication channels.

In 2026, three interconnected themes stood out: Agentic AI, Creative AI, and the changing consumer behavior of Gen Z and Gen Alpha.

While some participants discussed how AI agents would manage advertising campaigns, communicate with platforms, and make decisions, others examined what advertising should look like for generations raised alongside social media, recommendation algorithms, and generative AI.

The comparison with 2025 is particularly revealing. AI, automation, the creator economy, and younger generations were already prominent topics at Advertising Week the previous year. Much of that conversation, however, focused on introducing AI into existing workflows, measuring the effectiveness of new tools, and making use of customer data.

In 2026, the emphasis shifted noticeably. The question was no longer simply how to use AI to optimize advertising. The industry began discussing the infrastructure in which autonomous agents could perform some marketing operations independently, while AI systems would increasingly act as intermediaries between brands and consumers.

At the same time, Gen Alpha became more relevant to immediate marketing decisions, as AI could become a familiar tool for discovering information and encountering brands.

Agentic AI: From Task Automation to Autonomous Advertising Management

Agentic AI refers to an approach in which an AI system does more than answer a prompt or perform an isolated task. It can make a sequence of decisions and take actions in pursuit of a defined objective.

In advertising, that could include automated performance analysis, changes to campaign settings, budget allocation, creative management, and interactions with multiple technology platforms.

At Advertising Week 2026, participants discussed both the possibilities of AI agents and the obstacles to practical adoption.

Joshua John, Yahoo: Where Automation Ends and Autonomy Begins

Joshua John, Head of DSP Strategy at Yahoo, discussed how agentic AI could move advertising teams from adjusting individual campaign settings to defining business goals and constraints. Human oversight, data quality, and accountability remain essential as systems gain autonomy.

Miles Brehm, Yahoo DSP: AI Agents Need Shared Standards

Miles Brehm, Senior Director of GTM Strategy at Yahoo DSP, emphasized the need for shared standards so AI agents can exchange data and coordinate actions across platforms, publishers, and technology partners. Without interoperability, agentic advertising remains fragmented.

Sean Zadig, Yahoo: AI Also Changes How Organizations Work

Sean Zadig, Yahoo's Chief Information Security Officer, focused on the organizational changes required to use AI systematically. Agencies will need to rethink workflows, employee skills, and oversight, not merely introduce new tools.

Taken together, these sessions suggest a shift in the industry conversation: from “What can we automate?” to “How do we organize autonomous systems, and who is responsible for their decisions?”

Creative AI: Mass Content Production Versus Brand Distinctiveness

The second major Advertising Week 2026 theme was the impact of generative AI on advertising production. Neural networks already make it possible to create copy, images, video, and numerous ad variations much faster than conventional production processes.

But higher content volumes create another challenge: how can brands remain distinctive when many companies use similar tools and models?

Shannon Shae Montoya, Yahoo: Can AI Preserve a Brand’s Voice?

Shannon Shae Montoya, VP of Global B2B Marketing, Sponsorships & Events at Yahoo, examined whether AI can preserve a brand's distinctive voice. Effective creative automation requires clear brand instructions, human review, and consistent quality controls.

Benoit Vatere, Liquid Death: AI as Part of the Marketing Operating Model

Benoit Vatere, Chief Media and Digital Commerce Officer at Liquid Death, discussed AI as a way to shorten the journey from idea to campaign launch. Faster production supports more testing, but creative quality and performance measurement remain critical.

Creative AI and the Risk of Generic Advertising

A discussion on whether AI makes ads average highlighted the trade-off between production scale and distinctive storytelling. More creative variations are easier to produce, but performance still depends on strong ideas, meaningful hypotheses, and disciplined testing.

Gen Z and Gen Alpha: Who Will See the Next Generation of Advertising?

Alongside discussions about new advertising technology, Advertising Week participants examined how consumers themselves are changing.

Gen Z already has substantial influence on consumer markets, while Gen Alpha is gradually becoming an independent factor in household purchase decisions.

Advertisers need to understand not only changes in audience age distribution but also new ways of finding information, engaging with content, and building trust in brands.

Jose Nicolas Velez, Smirnoff: Speaking the Language of Gen Z

Jose Nicolas Velez, Global Marketing Director at Smirnoff, discussed connecting with Gen Z through its cultural interests, humor, and creative participation, citing the brand's work with Troye Sivan. The key is cultural relevance, not simply adapting conventional ads to a younger audience.

Hinge and Dazed Studio: Authenticity Does Not Mean Abandoning Production Quality

Ola Sobiecki of Hinge and Rachel Effendy of Dazed Studio discussed authenticity in Gen Z marketing, including Hinge's No Ordinary Love campaign and BookTok culture. Authenticity does not require low production quality; relevance matters more than format.

Emma Witkowski, WildBrain: Gen Alpha Already Influences Household Purchases

Emma Witkowski, VP of Media Solutions at WildBrain, argued that Gen Alpha already shapes household preferences and purchases, even when parents pay. Media planning should consider influence on family decisions, not only direct buying power.

Donna Tuttle, Whataburger: Gen Alpha Is More Than an AI Generation

Donna Tuttle, VP of Marketing and Communications at Whataburger, cautioned against defining Gen Alpha solely through AI and digital technology. Interests, culture, communities, and entertainment still shape how younger audiences relate to brands.

Channan Sawhney, Church & Dwight: Marketing to People and AI Systems

Channan Sawhney, Associate VP of Digital, Media and Measurement at Church & Dwight, noted that brands must be discoverable both by consumers and by AI-powered recommendation systems. Creator content and product information increasingly influence how these systems represent brands.

Two Irreversible Changes Reshaping Advertising

Advertising Week New York 2026 highlighted two fundamental changes taking place across the advertising industry.

The first is the rapid adoption of AI in creative production, analytics, and campaign management. The discussion is moving beyond isolated productivity tools toward systems that can make decisions, coordinate workflows, and carry out a substantial share of operational tasks autonomously.

The second is generational change among consumers. Gen Z is already reshaping expectations about advertising content, brand credibility, and the role of creators. Gen Alpha is growing up in an environment where social networks, algorithmic recommendations, and AI assistants are familiar ways of engaging with information.

These two shifts are closely linked. AI enables companies to produce and personalize content more quickly for increasingly fragmented audiences. Meanwhile, consumers themselves are increasingly using algorithms and AI tools to search for information, evaluate offers, and make decisions.

For agencies and marketing teams, this changes professional priorities. Value will increasingly come not only from hands-on management of ad accounts but also from the ability to define business objectives for automated systems, organize data, maintain creative quality, and understand emerging consumer behavior.

The central takeaway from Advertising Week New York 2026 is that both the technology of advertising and the environment in which consumers discover brands and make decisions are changing. Marketing success will depend increasingly on how well companies adapt to both changes at once.