43% of creators and influencers in North America say AI tools help them streamline their workflows, according to April 2025 data from URLgenius. However, nearly a third (30%) say they haven’t noticed any impact.
The trend: Retailers and brands are rapidly weaving generative AI (genAI) into their operations to boost efficiency and scale without adding significant headcount. The breadth of the initiatives signals an abrupt shift in many companies’ thinking about genAI from a useful tool to a potential core business driver. Our take: GenAI enables companies to do more with less—a crucial advantage at a time when macro uncertainty is making many firms wary of increasing their headcount. As early adopters scale their efforts and share results, momentum will grow—prompting others to follow out of necessity, not choice.
The data: Physicians are more bullish on AI in healthcare than patients. Our take: Doctors are still figuring out AI themselves—but they can’t lose sight of how important it is to keep patients informed. They’ll need to get patient consent for use cases such as transcribing visits, and should opt out of using AI if their patients aren’t comfortable with it.
The news: With scams on the rise, advertisers and brands need to be thoughtful with their communications to keep it out of junk folders. 96% of US adults get at least one scam email, phone call, or text message each week, per CNET. Our take: To stop volume fatigue, brands should avoid inundating users’ phones and inboxes with constant messaging. Social media could offer a less-saturated space where short-form content can exemplify brand personality and where users are more likely to expect engagement.
The news: OpenAI finalized a deal with Google Cloud to supplement its Microsoft Azure infrastructure, per Reuters. The deal addresses OpenAI’s growing compute needs as its annual revenues hit $10 billion, up from $5.5 billion in December. OpenAI’s ChatGPT and Google Gemini are the biggest rivals in the AI industry. The cloud deal effectively ends Microsoft’s exclusivity as ChatGPT’s cloud provider and is likely another indicator that the two companies are growing apart. Our take: The OpenAI-Google Cloud alliance signals a new era of pragmatic AI partnerships and the importance of diversified cloud strategies to support the explosion in AI usage.
The news: Starbucks is rolling out “Green Dot Assist,” a generative AI (genAI) assistant built with Microsoft Azure and OpenAI, to 35 locations this month. The tool, which is accessed through iPads, aims to streamline operations, reduce service times, and improve accuracy for baristas while reducing reliance on manuals or intranet searches. Our take: Competitors and the industry will be keeping an eye on how Starbucks integrates AI assistants at scale. This is a potential blueprint for using AI not just for automation, but to enhance human touchpoints while increasing efficiency—provided all the moving parts work together.
On today’s podcast episode, we discuss how to get folks to buy something they can’t go and see in a store, how D2Cs should be thinking about generative AI, and how one DTC is negotiating the tariff minefield. Listen to the conversation with our Senior Analyst Sara Lebow as she hosts Principal Analyst Sky Canaves and CEO and president of Eyebuydirect Sunny Jiang.
The news: Adobe and Amazon are redefining how marketers produce video ads by launching new generative AI tools aimed at small and mid-sized businesses. Adobe Express for Ads, unveiled today, supports direct publishing to platforms like Google, Meta, and TikTok, while Amazon’s AI video tool can transform product pages into multiple ad variants. These tools cater to resource-limited advertisers seeking scale and performance. Our take: The video ad market is maturing fast—and AI is making it more accessible. As more marketers pilot GenAI tools, early adopters will gain an edge in personalization and efficiency, turning creative experimentation into reliable results.
The news: Google’s search dominance is slipping as AI innovations threaten its ad business. Its global web visits declined 1% YoY in April, according to Similarweb data published by AdWeek, compared with 182% growth for OpenAI’s ChatGPT and 181% for Perplexity. Google’s searches on Safari also dropped for the first time ever in April. In March, about 77% of all Google searches that triggered an AI Overview garnered zero clicks, which could dissuade advertisers from spending on the platform. Our take: As AI transforms search and keywords become less important, publishers and brands may need to rethink strategies for how their content is discovered and how they attract search users. AI-optimized content will likely become the next battleground for visibility and performance.
The news: Smartphone makers and developers may be misplacing their focus on on-device AI as consumer interest nose-dives from already low levels. Only 3% of smartphone owners are willing to pay extra for AI features, per CNET’s 2025 Smartphone Innovation Survey, down from 6% in September. Our take: Enterprise customers may be a better bet for on-device AI adoption considering public consumers’ disinterest and privacy concerns. To boost use among consumers, smartphone makers could focus on easy-to-use features that are accessible to those new to AI and roll out AI upgrades incrementally rather than all at once to avoid AI overload.
The trend: AI is no longer just a buzzword on the Croisette—it’s the centerpiece of Cannes Lions 2025, with executives demanding more than excitement. Amy Fenton of MarketCast and Grant Gudgel of Verve say this year’s focus is on how AI works in real life, not just on paper. Our take: Cannes 2025 is where AI must prove its value. From content creation to performance optimization, marketers are moving past experimentation and demanding results. Accountability, transparency, and real creative impact will be the true benchmarks. AI isn’t just in the spotlight—it’s being asked to deliver at scale, with substance.
Agentic AI, an advanced form of AI combining machine learning, LLMs, and automation, is set to revolutionize retail banking by creating intelligent digital employees. The Financial Brand predicts it will act as a "financial GPS on steroids," offering personalized, proactive financial support by understanding full customer context and anticipating life changes. This could significantly enhance customer experience, particularly appealing to Gen Z's preference for self-service. However, our take suggests a potential cost: job displacement in banking. The ideal scenario involves banks adopting Agentic AI while retaining customer-facing staff, balancing efficiency and personalization with the essential human touch.
The news: In a bold power play, Google dropped Android 16 just one day after Apple unveiled iOS 26 at WWDC, a divergence from its usual September release. The timing steals some of Apple’s spotlight, escalating the tech rivalry while injecting new energy into the smartphone wars. Key takeaway: Google’s fast-tracked and AI-infused Android 16 update signal a shift in mobile strategy aimed at overtaking the iPhone. Developers and advertisers should prioritize Pixel-first app experiences, optimize for desktop-like multitasking on mobile, and reimagine engagement for an OS that’s more utility driven. A Pixel-first rollout for Android 16 indicates Google is pushing its own hardware platform, making Pixels more attractive to consumers who want the latest features first.
A large majority of US consumers are somewhat (26%), very (32%), or extremely (34%) concerned about AI spreading misinformation, according to an August 2024 survey from the Pew Research Center.
The news: A CBS investigation discovered hundreds of deepfake ads on Meta platforms promoting “nudify” apps that create sexually explicit content based on images of real people. The analysis of Meta’s ad library found at minimum hundreds of deepfake ads across Facebook, Instagram, Threads, Facebook Messenger, and Meta Audience Network. Our take: The rise of deepfakes on major platforms like Meta emphasizes AI’s potential to erode consumer trust and raise brand safety risks—forcing advertisers to navigate a growing gap between innovation and lagging safeguards.
The news: Walmart rolled out Sparky, its generative AI (genAI) assistant, to all Walmart app users this week—a preliminary step that puts it closer to achieving its agentic ambitions. Our take: By broadening Sparky’s capabilities, Walmart is trying to position itself not only as a shopping destination, but also as a place where consumers can go when they need everyday life advice or information—such as how to fix a leaky faucet or help with event planning. Whether the retailer succeeds will depend on how well Sparky works, and whether it can convince shoppers to overcome their current skepticism of AI tools.
The news: Mark Read will exit as CEO of WPP at the end of 2025, concluding a three-decade run shaped by AI investment and structural overhauls. While Read launched tools like WPP Open and pushed to streamline operations, the company still posted a 1% organic revenue decline in 2024 and hit a four-year stock price low. Our take: Read’s departure marks a critical inflection point for WPP and the broader agency model. With 56.1% of agency leaders naming inefficiency as their top issue, the next CEO will need to go beyond tech implementation and deliver meaningful workflow clarity and cost discipline—fast.
On today’s podcast episode, we discuss how Americans’ feelings towards AI have changed this year, the gaps in concern between AI experts and the general public, and the best ways to get started with AI. Join Senior Director of Podcasts and host Marcus Johnson, Analyst Grace Harmon, and Senior Vice President of Media Content and Strategy Henry Powderly. Listen everywhere and watch on YouTube and Spotify.
The news: Meta is in talks to invest upwards of $10 billion in Scale AI, a data labeling startup. The deal would be Meta’s biggest ever external AI investment and could help it position its Llama large language model (LLM) as an industry standard, per Bloomberg. Scale AI has already partnered with Meta to develop Defense Llama, an LLM designed for military use that’s built on Llama 3, and also works with Meta competitors like Microsoft and OpenAI. Our take: Meta’s massive investment could draw antitrust scrutiny in an era of acqui-hires. The outcome of active probes in Big Tech partnerships could influence regulatory action, especially if this investment contains any exclusivity that limits model training resources for other companies.
The news: IT leaders are increasingly concerned about unauthorized employee use of AI and its risk to company security and compliance. 90% are concerned about “shadow AI,” or employees adopting AI tools without IT team approval, per Komprise’s IT Survey: AI, Data & Enterprise Risk. 13% of companies said genAI has harmed their finances, customers, or reputation—proof that AI’s risks aren’t just hypothetical. Our take: Companies should pair data management and protection of sensitive data with worker training. Giving employees access to tools they’ll actually use and keeping them in the loop on AI plans could help prevent the use of unauthorized tools and data leaks, foster trust, and deter sabotage of genAI initiatives.