The news: Starbucks is lowering prices in China for some drinks as the country’s relentless price wars force the struggling coffee chain to shift gears. Our take: Starbucks’ pricing actions are necessary to keep it competitive in a challenging market. But it is increasingly struggling to keep up with the likes of Luckin Coffee and Cotti, which are not only considerably cheaper but also better able to meet Chinese consumers’ rapidly shifting tastes. With conditions in the world’s second-largest economy unlikely to improve this year, Starbucks will have to find a way to become nimbler—and more affordable—to keep within striking distance of its rivals.

The news: Warner Bros. Discovery (WBD) plans to split into two separate public companies by 2026, one focused on streaming and studios and the other on global cable networks, the company announced. Its streaming company will include HBO Max and WBD’s movie properties, while the global networks company will include TNT Sports, Discovery, and CNN. Our take: WBD’s move emphasizes that sticking with a one-size-fits-all model is no longer viable given traditional TV declines and the rise of streaming. Managing decline while pursuing growth requires two fundamentally different playbooks.

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.

The news: Generative AI (genAI) has become standard across US enterprises—95% of companies report using it to some extent, up from 83% a year ago, per Bain & Co—but wider enterprise adoption is hitting roadblocks. A lack of robust governance and the need for continuous security validation are getting in the way. Our take: To escape limbo, enterprises must shift from experimentation to disciplined execution. That means building AI governance into the foundation—not as an afterthought. Security, transparency, and trust must be embedded into every AI deployment. Businesses shouldn’t just see AI as a plug-and-play solution without vetting it and aligning it with desired outcomes. For marketers, campaigns built on shaky AI foundations risk brand reputation, compliance failures, and consumer mistrust.

The news: Apple’s highly anticipated AI enhancements, particularly for Siri, remain unfinished. During WWDC 2025, SVP Craig Federighi confirmed delays, stating Apple needs “more time to reach a high-quality bar.” No major voice assistant upgrades were announced. Apple’s most relevant AI move wasn’t a product—it was a warning: Ahead of its event, Apple published a research paper arguing that top models like OpenAI’s GPT-4o, Anthropic’s Claude 3.7, and Google’s Gemini don’t truly “reason.” Instead, they create an “illusion of thinking.” Our take: Apple is hedging its AI bets by being cautious with core offerings like Siri while quietly enabling developers with on-device LLMs and privacy-first tools. Instead of overpromising, Apple is pointing out potential problems with the latest AI models while exercising restraint.

On today’s podcast episode, we discuss how advertisers have gone from navigating uncertainty to navigating whiplash, and how they can prioritize and get the most out of ad measurement with a limited budget. Join Senior Director of Podcasts and host Marcus Johnson, Senior Analysts Evelyn Mitchell-Wolf and Max Willens, and the Director of Product Management at Cint Stephanie Gall. Listen everywhere and watch on YouTube and Spotify.

Temu and Shein ad impressions dropped to 0% as both retailers effectively cut off Google Shopping ad spend in April.

Amazon Prime is deeply entrenched in the US, with 75% of households as members. Despite this saturation, Amazon sees growth opportunities in international markets and among underpenetrated US demographics: rural, younger, and lower-income consumers. These groups show untapped potential, said Jamil Ghani, Amazon Prime’s worldwide VP. Prime fuels Amazon’s ecosystem—members spend more by using benefits like streaming, pharmacy, Grubhub+, and free shipping. In contrast, nonmembers often spend less over time. By expanding perks and appealing to new segments, Amazon uses Prime to drive loyalty, customer lifetime value, and resilience against macroeconomic shifts.

Retail and commerce media were huge topics at last year’s Cannes Lions festival, and this year, the festival is doubling down on the channel by introducing a new retail media sub-category in the Media Lions and Creative Commerce Lions awards. However, “the tone is definitely shifting” as the industry matures—and faces the threat of tariff-related impacts, according to our analyst, Sarah Marzano.

The news: Quality control is a growing fear for advertisers as an Adweek investigation found ads from major brands appeared near offensive and inappropriate content. Ads from brands like Amazon and Verizon were found near sexual or racially offensive content on the Android short-form video app XShorts. Our take: Advertisers are increasingly faced with a digital landscape where programmatic ad buying lacks the quality control required to keep up with rapid innovation and demand for ad space—prompting renewed calls for transparency, verification, and human oversight in automated systems.

Sixty percent of current and prospective homeowners are unsure whether it’s a good time to buy a home—the highest uncertainty in three years, per Bank of America’s report. Meanwhile, 75% of prospective buyers are waiting for mortgage rates to drop, up from 62% in 2023. Younger generations, especially Gen Z and millennials, are delaying homeownership, with ownership rates flatlining. Stagnant rental prices and economic uncertainty add to the hesitation. Lenders must modernize offerings, streamline processes, and explore alternative financing like crypto and peer-to-peer loans to convert hesitant buyers when the market improves.

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Canadian banks have heavily invested in digital development, yet their mobile apps remain uniform and lack standout features, according to J.D. Power. While mobile apps perform reliably, satisfaction gains are seen mainly in credit card and website platforms. AI integrations like virtual assistants have failed to personalize experiences. Key missing features include clear transaction data, stored debit cards, and Gen Z’s most demanded functions like electronic direct deposits and subscription controls. To differentiate, banks must enhance mobile app experiences by adding unique, customer-desired features and improving personalization and security.

The news: Google launched “Portraits” on Thursday, a new experiment that creates AI-generated versions of influencers that offer users notes and advice using the voice of the individual they’re based on. Described as “personalized AI coaching built alongside real experts,” Portraits is built in partnership with the AI celebrity’s real-life counterpart. Our take: Google’s experiment, while it may not connect with every audience member, could prove effective at increasing time spent with Google’s AI offerings, drawing attention away from competitors like Meta AI and potentially unlocking a new revenue stream if Google monetizes in the future.

The trend: Walmart and Amazon are determined to take drone delivery mainstream. Our take: It’s easy to understand the sci-fi appeal of drone delivery—but whether it’s feasible remains a question that retailers are still struggling to answer.