Artificial intelligence is becoming more important in how digital advertising platforms decide which ads to show and when to show them. At the November 9, 2026, DMS by LUMA conference in New York City, industry executives argued that better real-time ad decisions, not just faster campaign setup, could become an important advantage for advertising companies.
The event’s 2026 agenda included sessions on AI-powered decision-making, measuring advertising results, and how AI tools may change the way consumers discover brands. These discussions highlighted an important question for marketers: can automated advertising systems deliver stronger results, rather than simply making everyday campaign tasks easier?
Digital advertising platforms already use AI to help match advertisements with relevant audiences and improve campaign delivery. For example, Google’s AI Max for Search campaigns can expand search-term matching and customize advertising messages based on a user’s search. Advertisers also have controls over brands and landing pages. These tools can reduce some manual work, but marketers still need to measure whether they improve business results.
During the conference, LUMA Partners CEO Terry Kawaja and partner Conor McKenna described two important shifts. The first involves AI helping advertising technology make better decisions about which ads to display. The second concerns AI tools changing how consumers research products and make buying decisions. According to Digiday’s November 13 report, the executives argued that better advertising decisions could become more valuable than simply automating campaign workflows.
This development could increase competition among digital advertising companies. Instead of competing mainly on campaign management features, platforms may need to show that their AI systems can make better decisions about which advertisements to display, where to place them, and how to improve results.
For businesses, these developments could reduce the time spent on routine advertising tasks. AI can help analyze campaign performance, identify patterns, and support creative planning. Marketing technology companies are also introducing AI-powered campaign planning and brand tools to make content development and campaign management easier. However, businesses still need to check advertising quality, manage spending, and measure whether campaigns generate useful leads or sales.
AI assistants could also change how people discover and compare products. Instead of visiting several websites, consumers may use AI tools to explore options in one place. Speakers at the summit suggested this could shorten the journey from research to purchase, although people are still expected to remain involved in buying decisions. For brands, providing accurate product information and building customer trust will remain important as AI-powered recommendations become more common.
However, AI-driven advertising also raises questions about transparency, privacy, and consumer protection. In August 2026, the Federal Trade Commission finalized settlements involving misleading claims about an AI-powered advertising targeting service. The case shows why businesses should verify what marketing technology can actually do. Advertisers should also review how customer data is used, check the accuracy of advertising claims, and evaluate whether automated campaigns produce meaningful business results.
The shift could also affect advertising agencies, technology providers, and online publishers. Companies that combine useful data with reliable AI decision-making may gain an advantage, while businesses that depend mainly on basic automation could face stronger competition.
As AI becomes more involved in digital advertising, marketers should focus on measurable business results. Are campaigns attracting qualified customers? Are sales or leads improving? Is the cost per result sustainable? Reviewing key marketing performance numbers regularly can help businesses understand whether automation is delivering real value. AI may help make advertising decisions faster, but people still need to set clear goals, monitor performance, and protect customer trust.