The news: Under pressure to deliver on AI investments, Big Tech companies like Meta and Apple are seeking to acquire AI startups. Failing that, they’re looking to hire away founders and key personnel to boost their own capabilities. Our take: The recent complications between OpenAI and Microsoft reveal that partnerships and investments aren’t always compatible with a startup’s growth. Expect Meta and Apple to pit money over mission as they hire away founders and key engineers, leaving AI startups high and dry, similar to how Google hired ex-Googlers from AI chatbot startup Character AI. The AI startup talent pool could be shrinking as startups and founders get acqui-hired by Big Tech.
In the first half of 2025, tariffs rattled retailers, consumer trust wavered in the face of muted DEI efforts, and fast-fashion platforms like Shein and Temu braced for policy whiplash. Meanwhile, private label products surged in popularity, and the retail world took a closer look at generative AI—not just for buzz, but for tangible impact across the shopper journey. Here are the top stories from H1 2025 and why they matter for the rest of the year.
The news: Amazon CEO Andy Jassy said AI-driven efficiencies will reduce the company’s headcount. “As we roll out more generative AI and agents …we will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs,” Jassy said in a letter to employees. “In the next few years, we expect that this will reduce our total corporate workforce.” Our take: Companies that pursue an AI-first mission by laying off employees risk lower team morale, a resistance to AI adoption among workers, and damaged consumer trust. Still, Amazon’s scale, deep pockets, and cloud infrastructure dominance may insulate it from backlash or major fallout.
The news: Meta’s $14 billion investment in Scale AI drove Google to cut ties with the startup. With Meta now owning a 49% stake, Google could be concerned that contracting with Scale would give Meta access to its proprietary data. Our take: Big Tech is racing to consolidate control over AI and cloud security infrastructure. Independence and agility could help companies avoid vendor lock-ins and data entanglement as regulators close in.
The news: Adobe aims to help brands and publishers improve content placement in AI browsers, search tools, and chatbots with its new suite of AI tools—LLM Optimizer. What it does: LLM Optimizer tracks which content and offerings—such as website details, products, or articles—are being shown in AI interfaces and where they’re appearing. Our take: Adobe’s new tools, especially outcome metrics and actionable recommendations, can help marketers and brands craft tailored SEO for each platform—browsers, AI Overviews, and chatbots—and surface data-driven solutions to help improve their AI search presence.
Direct-to-consumer (D2C) brands like Eyebuydirect are overcoming traditional barriers in high-consideration purchase categories like eyewear.
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 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: 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 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.
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.
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: 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.
Over 4 in 10 (44.4%) of US Adults are somewhat or very likely to use an AI tool like ChatGPT or Copilot to research potential purchases, according to April data from Attest.
The news: Amazon is testing humanoid delivery robots, per The Information, which could work in tandem with human drivers or as part of an autonomous fleet of delivery vehicles. The humanoid robotics team is working on incorporating large language models (LLMs) from Chinese companies DeepSeek and Alibaba so the bots can contextualize real-world surroundings. Our take: Delivery bots could help with heavy loads and ease the burden on human drivers, but Amazon might be better served with a less human form factor, such as a platform with walking legs to carry packages. The focus on humanoids could limit functionality, and bringing the uncanny valley to consumers’ front door could be off-putting.
AI Edge Gallery shows Google's bet on offline AI, turning Android phones into self-contained smart tools. It outpaces Apple’s walled approach but faces usability hurdles.
Tools like Smart+ and Content Suite help brands find trending creator content, predict ad success, and target more precisely.
It will rely on automated systems to approve algorithm updates and safety features, potentially sidelining privacy teams and risking half-baked feature launches.