AI is Reshaping the Rules of the Advertising Industry—How Can Brands Take the Initiative?
As artificial intelligence becomes fully integrated into the advertising industry, marketers in 2026 face a new landscape. AI is transforming how ad campaigns are created, delivered, and measured, promising to achieve long-standing goals such as personalization at scale and closed-loop measurement. However, AI solutions launched by players from Meta and Google to WPP and Omnicom, while promising cost reduction and efficiency gains, often come at the expense of transparency. Brands must separate reality from hype in emerging areas like agentic AI, while navigating challenges such as identity resolution and data collaboration. Experts advise that savvy marketers should distinguish between what is immutable and what can be changed, and leverage agencies and data platforms to prepare for the AI era.
The era of artificial intelligence has arrived, and marketers in 2026 are facing a brand-new landscape: AI technology has permeated nearly every aspect of the advertising industry. From campaign creation and delivery to performance measurement, AI is changing the game and is expected to help marketers finally achieve long-sought goals such as personalized marketing at scale and closed-loop measurement—a vision that is becoming increasingly tangible as emerging channels like connected TV and retail media shift toward performance-driven models.
However, there is still much work to be done to turn these promises into reality. As stakeholders rush to roll out one-stop services and turnkey solutions touted as AI-driven, the savviest marketers need to distinguish reality from hype in this evolving ecosystem—especially in emerging areas like agentic AI.
Facing the AI wave of 2026 and beyond, marketers might draw on the wisdom of the "Serenity Prayer": accept with grace what cannot be changed, have the courage to change what can be changed, and possess the wisdom to know the difference.
"When you look at certain architectures, when everything is running smoothly, it truly seems like magic," said Jacob Davis, Executive Director and Global Head of Performance at Crossmedia. "But perfect operation is actually extremely rare."
Over the past few years, major agencies, advertising platforms, media groups, and ad tech companies have launched AI-driven solutions aimed at automating most or even all of the advertising process. When launching campaigns, advertisers can choose from Meta's Advantage+ suite, Google's Performance Max, and Amazon's full-funnel advertising products; or they can opt for WPP Open, Publicis' CoreAI, and Omnicom's Omni; there are also publisher products from giants like NBCUniversal and Disney.
Although these solutions differ in functionality and components, they all aim to reduce costs and improve performance, often at the expense of transparency in how they operate. In this regard, AI has supercharged existing machine-driven automation systems—"essentially algorithms on steroids," as Mathieu Roche, co-founder and CEO of ID5, put it.
"It's still a black box. If you only care about the outcome—however they define it—then it does work," Roche said. "I don't think it's suitable for advertisers at the top of the pyramid, but for mid- and long-tail advertisers seeking website traffic or app installs... there is indeed a segment of the market that welcomes this model."
Challenges Facing Platforms and Agencies
Over the past few years, AI has been integrated into marketing workflows such as creative, planning, targeting, and optimization. Each stage presents different challenges for AI and corresponds to different levels of tolerance marketers have for outsourcing. For example, Roche noted that brands may prefer to retain control over creative but are more willing to delegate audience planning to AI. As platforms roll out chatbots supporting natural language conversations to assist in generating media plans, the way media planners and buyers work may undergo the most significant changes.
However, these AI-driven platforms are typically mass-market solutions, not tailored to individual marketers. The question is whether they can truly meet brand needs.
"Can they operate as intended? Because these platforms are so large, they don't really adjust to a brand's needs, even if the brand is willing to pay," said Unni Kurup, Director of Client Consulting and Strategy at Theorem.
As brands explore how to navigate this new AI-driven landscape, the role of agencies may evolve. Gartner Vice President and Analyst Nicole Greene explained that advertising industry players may transform into a layer of connectivity and enablement within walled garden environments like Meta and Amazon—walled gardens that are leveraging the AI opportunity to consolidate their positions.
"Each of these platforms will have its own data, control the user experience, and now also control creative, optimization, and measurement... You have to play by their rules," Greene said. "For brands that don't have the capability to navigate independently, agencies might be a good way to gain visibility across these platforms."
Driven by the wave of automation, marketers still face challenges in identity resolution—despite Google's decision not to deprecate third-party cookies, this area remains full of uncertainty. Marketers must decide whether to invest budgets in media or in media plus identity resolution (the latter potentially being more effective). Davis noted that many are currently choosing the former, which might be a mistake.
"If I can put $100,000 into LiveRamp or into Meta, the wise choice is to put the $100,000 into LiveRamp," Davis said, citing the data collaboration platform as an example. LiveRamp recently entered a strategic partnership with Publicis.
The performance media provided by AI-driven advertising platforms, with their attribution capabilities, may make it easier for marketers to justify spending to other C-suite executives—especially against a backdrop where marketers are wary of high programmatic fees and skeptical of the layers of intermediaries taking cuts in the media supply chain. Nevertheless, marketers still struggle to pinpoint exactly which media drove conversions and value.
"Is it because we layered Kargo's SSP with PubMatic? Is it because of the creative we served? Is it LiveRamp, or is it because we bought through The Trade Desk?" Davis asked, rattling off a series of rhetorical questions that capture the common confusion among marketers.
The Rise of Agents
Just as marketers are getting used to the new AI-driven normal, the next step in the automation revolution has already begun: agentic AI is on the rise. These fully autonomous systems can coordinate operations without human intervention, promising to simplify and optimize applications like programmatic advertising.
WPP and Omnicom announced new agentic AI offerings early in 2026. PubMatic launched an agentic operating system designed to address programmatic pain points, debuting with partners such as WPP Media, Butler/Till, Wpromote, and MiQ, and co-founding a coalition to promote a new "advertising context protocol." Meanwhile, the IAB released frameworks and a roadmap for the agentic future—offering the advertising industry an opportunity to learn from past mistakes in technology development and embed standardization from the outset.
"Although AI solutions will gradually take shape, the industry should expect multiple rounds of trial and error when deploying agentic solutions," IAB Tech Lab CEO Anthony Katsur said in a statement. "The potential of agentic AI is real and significant, but its practical application will require years of market experimentation, standardization, and alignment across platforms, agencies, and publishers."
Marketers who adopt agentic AI and delegate planning, testing, and continuous optimization of campaigns to agents will be able to free up time and resources from tedious tasks, shifting focus to higher-level thinking such as goal setting and experimentation.
"Agentic AI will transform marketing by shifting the execution burden," said Chris Kelly, CEO of Upwave, in an email comment. "The real advantage comes from agents making thousands of small-scale optimization decisions in real time... far beyond what any team could manage manually. Brands that adopt these systems early will move faster and learn faster than their competitors."
But like other applications of AI in advertising, the success of agentic AI is not guaranteed. In addition to sorting through a slew of new agent protocol acronyms like AdCP, MCP, and UCP, marketers also need to prepare their data, APIs, and other elements of their tech stack.
"Do you have high-quality APIs to transmit data? That's very important. Make sure you're prepared for the agent era, so that when these different platforms start integrating and offering more accessibility, you can seamlessly plug into those environments," said Greene of Gartner. "Those who say 'everything will connect seamlessly'... if that were true, I could probably sell you a bridge."