The news: Meta purchased a $3.51 billion stake in eyewear maker EssilorLuxottica, signaling its long-term commitment to AI-powered smart glasses. It now holds about a 3% share but is considering a larger investment that would increase its share to 5%, per Bloomberg. EssilorLuxottica’s stock rose about 6% Wednesday after the announcement. Our take: Marketers should view smart glasses as more than a casual consumer device. Start developing internal tools such as training and simulation applications and user-facing offerings like personalized experiences and voice-activated product walkthroughs.
The situation: QSRs are in a tough spot. The restaurant industry had monthly traffic growth in just one of the 12 months through May, according to Black Box Intelligence data cited by CNBC. Our take: QSRs can’t afford to stand still. In a tough operating environment, brands that act decisively and innovate boldly are best positioned to outpace the macroeconomic headwinds. Even if every move doesn’t deliver an immediate payoff, momentum matters—and sitting on the sidelines is the riskiest strategy of all.
The news: Meta poached Apple’s top AI/ML engineer, Ruoming Pang, with a multimillion-dollar offer—marking another major hire for its fast-growing Superintelligence Labs (MSL), per Bloomberg. Our take: MSL’s AI breakthroughs will likely funnel into Meta’s core products—ads, targeting, automation, and content moderation. AI-powered Meta ads are already delivering almost 22% higher returns than average Meta ads, per The Drum. Advertisers should track how Meta’s talent advantage could enhance ad personalization and ROI. Start stress-testing campaigns with Meta’s AI tools now—before they evolve further—and align campaigns to AI-native ad products.
In today’s episode, we talk about how AI has changed finserv’s approach to advertising and which areas of bank marketing will be affected the most. Join the discussion with host and Head of Business Development Rob Rubin, Analysts Lauren Ashcraft and Jacob Bourne.
While consumers are always looking for more efficient ways to shop and engage with brands, they aren't always ready to trade that efficiency for relinquished control. Marketers seeking to enhance engagement with AI have an evolving tightrope to walk.
On today’s podcast episode, we discuss the second biggest digital ad player’s (Meta) vision for the future of ads, if it will lead to money saved or more commercials, and why the 30-second AI-made TV ad for Kalshi matters more than most. Join Senior Director of Podcasts and host Marcus Johnson, Senior Director of Briefings Jeremy Goldman, and Principal Analyst Yory Wurmser. Listen everywhere and watch on YouTube and Spotify.
The news: AI-powered search tools, including large-language models (LLMs) used by Perplexity and other AI companies, increasingly deliver unreliable data. Our take: Audit your AI stack. Don’t rely on outputs alone—verify the provenance of AI-generated data and prioritize tools trained on verified, high-integrity sources. Vet vendors based on transparency, update cycles, and data hygiene. If you’re using AI for decision-making, demand traceable accountability—because “good enough” answers can quickly become costly mistakes.
The news: US ad employment continued its downward trend in June, with jobs in advertising, public relations, and related fields decreasing by 700 jobs, per the Bureau of Labor Statistics’ monthly employment report. The decrease marks the seventh consecutive month of ad industry job losses, per Ad Age. Our take: Rather than a temporary slump, declining ad employment is marking a structural shift that risks prioritizing cost-cutting and short-term efficiency over human insight and brand-building expertise.
The news: AI-assisted content now dominates Google’s top search results, but pure AI rarely ranks No. 1, according to an Ahrefs analysis of 600,000 pages across 100,000 keywords. It found that most top-ranking content includes some AI input, but only 13.5% was purely human-written. Key takeaway: Google doesn’t care who wrote the content, only whether it’s of good quality. Marketers should use AI to move faster but rely on human oversight to ensure clarity, credibility, and connection. Optimizing content for authenticity, brand voice, and user engagement—as well as generative engine optimization (GEO)—could lead to higher rankings.
The news: Retail media infrastructure firm Topsort is helping major retailers like Woolworths, Kohl’s, and Magalu grow ad revenues by 60% in a single month, per CEO Regina Ye. Topsort’s Data Genie tool converts billions of data points into instant insights and replaces legacy analytics systems that delay campaign execution. Our take: With budget exhaustion, measurement complexity, and system fragmentation among top buyer complaints, retailers are eager to modernize. Topsort’s AI-powered tools offer transparency, speed, and flexibility—values that align closely with where the market is heading. The bigger question: Will fall product updates bring true interoperability or further entrench silos?
The news: Google is launching Offerwall, a new Ad Manager tool that lets users unlock publisher content through ads, surveys, or payments—part of a broader effort to mend relationships with publishers facing traffic loss from AI Overviews and eroding ad share. Publishers say Google pays less than rivals like PubMatic and Magnite, and AI-driven zero-click searches have dropped site traffic significantly. Our take: With a DOJ remedies trial looming and ChatGPT traffic rising fast, Google’s publisher outreach isn’t just damage control—it’s existential. If AI is to remain useful and ethical, supporting the content it’s trained on is a must.
The news: Faceless creators and VTubers are gaining momentum as brands look for cost-effective, scalable influencer marketing options. Networks like AffiliateNetwork are growing rapidly, with top earners bringing in $30K–$40K monthly using AI-powered tactics. Creators run multiple accounts, post hundreds of videos, and rely on formats like AI-generated texting stories to deliver results. Our take: This shift marks a new phase in creator marketing—one defined less by personality and more by production speed and performance. As AI tools improve and creator skepticism fades, brands will increasingly work with digital personas that deliver value at scale—regardless of whether there’s a human on camera.
On today’s podcast episode, we discuss what area of people's lives artificial general intelligence (AGI) will change the most, the argument for AI developers asking permission from society to build these models, and when AGI might actually get here. Join Senior Director of Podcasts and host Marcus Johnson, and Analysts Jacob Bourne and Grace Harmon. Listen everywhere and watch on YouTube and Spotify.
The trend: Pharma field teams saw 2.5 times more new patient starts if they used marketing content during healthcare provider visits, according to the Veeva Pulse Field Trends Report for Q1. The takeaway: Pharma marketing teams should focus on how the content they’re creating can boost field teams’ engagement with healthcare providers and advise reps on how and when to use materials.
The news: Baidu has launched MuseSteamer, an enterprise-only AI tool that converts images into 10-second videos using three output modes—Turbo, Pro, and Lite—while upgrading its core search engine to support multimodal inputs. The tool targets businesses looking for scalable, automated creative output. Our take: With nearly half of marketers and creators now using AI for video daily, Baidu is doubling down on the enterprise market. MuseSteamer distinguishes itself from consumer-facing tools by offering speed, reliability, and tight workflow integration. As video becomes the default for content, the winners will be platforms that deliver pro-grade output without creative friction.
The news: Meta, which recently assembled Meta Superintelligence Labs (MSL) as part of its AI acquisition spree, is staffing its new department with key figures from OpenAI and other AI startups. Meta has poached at least 11 OpenAI engineers, per Wired—including Jiahui Yu, Hongyu Ren, Jin Lin, and Shengjia Zhao, co-creators of OpenAI’s o3, o4-mini, GPT-4.1, and GPT-4o. Our take: Meta’s aggressive talent grab reveals the AI arms race is now a bidding war. If top researchers are increasingly swayed by compensation over mission, it raises tough questions for brands making long-term AI investments.
The news: Cloudflare, which serves 20% of the web and 35% of the Fortune 500, launched beta tests of Pay per Crawl, a private marketplace that lets websites charge AI companies for scraping content. It’s a strategy other content delivery networks (CDNs) will likely follow that could signal the end of AI’s unchecked scraping. Key takeaway: Though still in beta, Pay per Crawl could give websites a new layer of protection—and a path to profit—if AI companies agree to pay for content they've long used without compensation. If AI wants to keep reading the internet, it may finally have to pay the bill.
The news: Consumers increasingly trust shopping suggestions from AI, even more than product suggestions from content creators, positioning the technology as a trusted and personalized guide rather than a back-end tool. 27% of US consumers trust AI shopping recommendations, per Walmart’s Retail Rewired Report, compared with 24% who trust suggestions from social media influencers. Our take: AI retail tools are most likely to succeed if they offer both speed and a sense of user control. Retailers should let users set spending caps and offer options to pause or customize recommendations to help AI agents feel more like a trusted assistant than a pushy salesperson.
The trend: Few consumers use AI tools for the health and wellness activities they participate in, according to a recent survey from Menlo Ventures and Morning Consult of 5,031 U.S. adults in April 2025. The big takeaway: Consumers are right on the cusp of using AI as a health information tool. AI tools are getting smarter, but can still be unreliable—one faulty response to a query about a person’s symptoms or health condition can turn a user off for good. AI platforms must train their models on credible medical sources and collaborate with clinicians to review outputs for accuracy.
The news: Apple is in talks with OpenAI and Anthropic to power a revamped version of Siri, per Bloomberg. This follows internal delays and setbacks in launching the AI-enhanced Siri that was announced at WWDC in June 2024. Advertising repercussions: Advertisers and brands won’t just be contending with Apple’s ad systems and algorithms—they also need to consider third-party vendors’ ecosystems and how those preference ad placements. Our take: Apple settling for outside AI is a turning point for walled gardens. For advertisers, it’s both a risk—due to reduced predictability—and an opportunity to innovate within new conversational interfaces.