Airbnb opted against launching a third-party app integration with ChatGPT because it “didn’t think [the technology] was quite ready,” CEO Brian Chesky told Bloomberg. While the company hasn’t ruled out joining the platform, its measured approach contrasts sharply with the enthusiasm of competitors like Expedia and Booking.com. Airbnb is prudent to have reservations about OpenAI’s commerce capabilities. While chatbots could reshape travel discovery and booking, early reports indicate ChatGPT’s utility for now is hampered by a clunky, finicky interface that is more frustrating than helpful. Rather than forge commerce partnerships with AI companies, Airbnb is focused on making its service an indispensable travel resource to keep its platform sticky.

AI adoption is accelerating faster than regulation, reshaping consumer behavior. Younger generations lead the charge for mainstream acceptance, forcing brands to navigate new risks and opportunities in AI-powered content.

Meta withdrew from Media Rating Council (MRC) brand safety audits last week, just months after its accreditation was officially issued, per Adweek. Despite its other brand safety moves, Meta’s step away from the MRC indicates that advertisers are now navigating a digital ad landscape that necessitates investment in platforms without stringent brand safety protocols—requiring marketers to strengthen their own brand safety monitoring and verification processes.

AI will soon redefine how people find information. As search engines and generative AI engines converge, the next wave of discovery is emerging—and marketers who invest in AI optimization now will secure an early advantage.

Pinterest is giving users control over the flood of genAI content on the platform with a new tuner that allows users to control how much genAI content they see in specific categories, per a Thursday announcement. By giving users control over how much genAI content they see, Pinterest is creating a safer environment for advertisers, reducing the risk for brands by ensuring ads don’t appear alongside content that audiences dislike or want to avoid.

Holding company Publicis Groupe reported a strong Q3 2025, growing organic net revenues 5.7% YoY, above analyst growth expectations of 5.19%. The company now expects 2025 revenues to grow between 5% to 5.5%, up from its previous forecast of 4% to 5%. Publicis’ heavy AI push and performance-driven strategy means it is well-positioned to continue growing while rival agencies struggle to remain competitive amid economic turbulence.

Klarna and Splitit are pursuing AI initiatives to keep their products top-of-mind for consumers, per press releases. Klarna partnered with Google Cloud to power AI-backed hyperpersonalized marketing campaigns. Splitit debuted its Agentic Commerce Partner Program, bringing card-linked buy now, pay later (BNPL) plans to agent-powered shopping. Replacing human created art with AI generated images is a risky play for marketing, but Splitit’s BNPL angle with agentic commerce may help it establish a foothold in the installment plan arena, especially when tied to shoppers’ preferred cards that they trust and earn rewards.

47% of US banking decision-makers say their institutions have already rolled out generative AI, up from 10% in 2023, said data from EY-Parthenon.

Perplexity is taking a step back from its advertising initiatives amid struggles to monetize AI search. Marketers should pause planned investments in AI search until search ads are measurable and proven to be effective. AI adoption may be growing, but there remains no clear evidence that ad formats in AI search provide returns.

Gen Z’s path to purchase differs considerably from older generations, but the physical store remains a cornerstone of their shopping experience.

JPMorgan Chase spends $2 billion per year on AI and finds an equal amount of cost savings as a result, said CEO Jamie Dimon in a recent Bloomberg TV interview. During its April investor day, JPMorgan forecast spending $18 billion on technology in 2025. JPMorgan is increasing the gap between the haves and have nots in bank technology. AI development in financial services, supported by modern platforms, is outrunning nearly everyone.

AI adoption is reshaping how brands work with agencies. According to Typeface’s Signal Report, 83% of marketing leaders would cut agency spending if they could automate content creation, and 11% would stop using agencies entirely. As AI tools like Meta’s creative suite expand, agencies face pressure to prove their value beyond content production. While many marketers are reorganizing teams around AI, agencies still play critical roles in strategy, AI governance, and paid media. To stay relevant, agencies must shift from execution to integration partners that help clients navigate AI transformation and maintain strategic oversight.

Artificial intelligence (AI) is reshaping marketing, from how content is created to how advertisers evaluate transparency and trust on digital platforms. Marketers can harness AI to streamline operations, enabling more campaigns more quickly by analyzing large data sets—but do so thoughtfully—avoid using AI for entire ad creation, as consumers still respond negatively to this. Brands must operate with an eye toward maintaining trust and authenticity.

Gen Zers are avid personal care and beauty shoppers, and their habits often diverge from those of older consumers. While they shop in-store as much as non-Gen Zers, they're more likely to turn to digital channels for research and purchases. This report contrasts Gen Z behaviors with those of non-Gen Z shoppers across the personal care and beauty landscape.

Performance channels are gaining traction among B2B marketers, with 84% now shifting from traditional, impression-focused approaches, per a Madison Logic survey. Brands should keep investing in performance marketing for its resilience amid economic headwinds. The added flexibility will let them adapt based on rapidly shifting economic signals and consumer behavior changes.

OpenAI’s Sora app surged to the top of the iPhone App Store’s free app chart despite its invite-only status, marking consumer demand for AI-heavy social experiences. It surpassed both OpenAI’s ChatGPT and Google’s Gemini, the latter of which recently topped App Store charts with its social media-friendly Nano Banana AI image-editing feature. This is a new creative playground, where brands can test community-driven campaigns with a highly engaged audience. Marketers should experiment with various types of content to see what goes viral in an AI-first social environment to prepare for a new social media landscape and capitalize on emerging platforms.

Video is now core to B2B marketing. This report shows how trust-building through creators, as well as increased AI use, are supporting video’s rise—and how to link performance to pipeline despite rising costs and resource gaps.

Video production company Lemonlight’s new generative AI advertising tools reflect the technology’s growing popularity with marketers. Brands should embrace the tool for its unique blend of AI and human insight, but approach some features cautiously and maintain a test-and-learn approach.

Citi mandated AI prompt training for most of its employees, per the American Banker. Citi’s head of technology noted that so far this year, Citi employees have input more than 6.5 million prompts and reduced time spent on some tasks by orders of magnitude. Fourteen percent of financial services companies worldwide have already benefited from their investments in generative AI, per Broadridge, and another 54% expect payback in no more than 1-2 years. The banking industry’s pivot over the past three years from fear of the unknown to seeking benefits will pay dividends in the long run.

Gen Zers and millennials will lead the charge in shopping with AI agents, but not without guardrails. Nearly half of Gen Zers (47%) and millennials (48%) say they are at least somewhat likely to let AI agents buy things for them, per a YouGov survey. Among likely AI agent adopters, 53% would require approval before letting AI buy anything under $100. For brands, deploying responsible AI agents is key. That means constantly monitoring customer-facing products for hallucinations, keeping humans in the loop to establish accountability and accuracy, and ensuring customers are getting the experiences they want.