Anthropic’s Claude AI is taking on competitors in a multimillion dollar ad campaign. The “Keep Thinking” campaign positions Claude as “the AI for problem solvers” and marks Anthropic’s first foray into brand marketing. The campaign is a necessary start to help Claude gain market share and boost its comparatively small user base, but it’s only the first step in a long journey ahead for Anthropic.

Meta is back in licensing talks with publishers like Axel Springer, Fox Corp., and News Corp., marking a reversal from its 2022 exit from news payments. The move comes as AI tools like Google’s AI Overviews cut publisher traffic, pushing outlets to secure compensation. Meanwhile, Reddit is pressing Google for richer terms, citing undervaluation of its human-authored content under existing $203 million contracts. For publishers, licensing deals provide revenue but risk cementing dependence on platforms that control discovery. For marketers, the shift highlights how AI-driven answers—rather than search results or feeds—are becoming the gateways to consumer attention and content discovery.

Microsoft and OpenAI revised their partnership with a new, nonbinding agreement that could pave the way for OpenAI to change its structure to include a public benefit corporation (PBC) arm. The agreement reportedly changes a clause that would rescind Microsoft’s access to OpenAI technology once the startup’s board decides it has reached artificial general intelligence (AGI), per The New York Times. Possible implications: Regulatory entanglements and antitrust concerns could ease, and if OpenAI’s PBC plans are successful, it could reshape how AI companies balance profits and responsibilities.

Microsoft is reducing its reliance on OpenAI by bringing in rival Anthropic to power key enterprise features, per The Information. With Microsoft 365’s entrenched position in productivity software, Anthropic’s integration could shift enterprise adoption trends away from OpenAI. If Anthropic gains traction, OpenAI risks losing one of its strongest distribution channels and with it, its influence on how AI is embedded in daily workflows. Marketers should watch to see not just who wins contracts, but who defines the next generation of workplace software.

AI is rewriting the rules of digital media, advertising, and commerce at breakneck speed. Here’s what players in the digital realm can do to stay relevant.

OpenAI revised its projected cash burn through 2029 to $115 billion—about 230% higher than earlier estimates. This alteration demonstrates how capital-intensive model training and deployment have become and how far those costs are beyond what traditional startup economics can sustain. These financial forecasts illustrate a ballooning cash burn matched by surging investments and rising revenue expectations. OpenAI might need to explore tactics like affiliate links or in-chat advertising for monetization and added incentives and premium features to convert free users into paying ones.

The news: Apple will reportedly launch an AI-enabled web search tool powered by Google’s Gemini, potentially accelerating long-awaited software improvements and helping Apple enter the AI search race, per Bloomberg. The “answer engine” would be integrated with Siri and could help Apple compete with OpenAI and Perplexity. The feature, internally called World Knowledge Answers, will aggregate information from across the web into AI Overviews-esque summaries. It may eventually be added to Safari and Spotlight. Our take: Apple’s pivot toward external AI partnerships highlights how unready it is to compete head-to-head in foundational AI or search. While a Gemini integration could improve Siri and add powerful search capabilities, it could threaten Apple’s core advantage: total control over the user experience.

The news: AI startup Anthropic raised a staggering $13 billion, tripling its valuation to $183 billion, per CNBC. This momentum is driven by enterprise demand for Claude, Anthropic’s AI assistant, and a rapidly expanding customer base that now tops 300,000 businesses. The company’s annual revenues have also jumped fivefold in 2025 to $5 billion. Our take: Anthropic’s ascent is setting a new standard for AI startups—spurring rivals like Perplexity, Mistral, Intelligent Machines, and Safe Superintelligence to chase scale through aggressive fundraising, not quick exits. The message: In this market, go big or get left behind.

The news: Use of AI search tools is surging, which could soon spell trouble for Google’s market dominance. The share of consumers using of AI search tools on a daily basis doubled to 29% in August, per HigherVisibility’s 2025 How People Search Today report, up from 14% in February. Meanwhile, Google’s share of general information queries fell from 73% to 67%. Our take: Brands and marketers need to tailor their campaigns and strategies based on user intent. Those looking to attract new shoppers should invest in social media and AI search placements, while those focused on driving traffic for services or capturing high-intent buyers should prioritize Google, especially for initial discovery and location-based queries.

The news: OpenAI will acquire product-testing startup Statsig for $1.1 billion as it expands its applications division. Statsig CEO Vijaye Raji, formerly vice president and head of entertainment at Facebook, will join OpenAI as CTO of applications. OpenAI said the deal, pending regulatory approval, will help it develop “even better, more responsive experiences for the people and businesses we serve,” per a press release. Our take: This deal positions OpenAI to launch entirely new categories of AI-powered experiences—personalized content feeds, collaborative AI tools, or productivity suites.

Voice assistants will add nearly 30 million US users between 2022 and 2029, fueled by genAI, demographic shifts, and new hardware. Key adoption trends, platform battles, and marketing opportunities are shaping the next era of voice technology.

The news: OpenAI is rolling out ChatGPT mental health safeguards for people in crisis and boosting protection specifically for teens with added Parental Controls. Our take: Additional AI guardrails are a positive mental health development, but tech companies should continue to develop more. Healthcare is an important emerging use case for AI, but when it comes to mental health, caution and vigilance needs to trump speed to market.

The news: Anthropic will now require Claude Free, Pro, and Max users to decide whether their conversations can be used to train its AI. The new rules take effect September 28, and business customers remain exempt, per TechCrunch. Some users on Reddit say the change is making them reconsider Anthropic, citing the five-year data retention requirement as heavy handed. Our take: Anthropic says its new policy is intended to empowering user choice, but skepticism over privacy and consent could push users to opt out or seek other alternatives. As more AI providers prioritize data access over user comfort, transparency and trust will become differentiators in a crowded field. AI’s appetite for training data is going to continue to push privacy and copyright boundaries. Anthropic’s ability to manage trust will determine whether the policy change aids or undermines adoption.

The news: Meta is struggling to retain talent after its splashy, expensive efforts to poach workers from OpenAI and Google, raising concerns about retention and the stability of its AI strategy. Multiple staff members recruited from OpenAI have returned to their former employer within weeks, per Wired. Some veteran Meta employees have also exited, potentially due to frustrations over the sky-high compensation packages offered to newcomers. Our take: This staff exodus intensifies concerns about Meta’s retention and organizational stability. Money may not equal loyalty, and the departures highlight both the limits of using compensation alone to win the AI talent race and a need to rethink how company culture, values, and mission factor into recruitment strategy.

Generative AI is rapidly moving from novelty to necessity in advertising, collapsing production costs and timelines while expanding creative possibilities. National TV ads that once required six figures and weeks of work can now be made in days for a fraction of the budget, opening broadcast-quality campaigns to smaller advertisers. With nearly 90% of large video advertisers already adopting AI, use cases like personalization, ideation, and versioning are proliferating. Yet consumer skepticism remains strong—especially among older audiences—underscoring that human craft and cultural nuance still matter. The challenge ahead: merging automation’s efficiency with trust and authentic creativity at scale.

The news: OpenAI CEO Sam Altman is warning of a growing AI investment bubble. “Are we in a phase where investors are overexcited about AI? My opinion is yes,” Altman said during a dinner with a group of reporters, per The Verge. Still, he emphasized that AI remains “the most important thing to happen in a very long time.” Our take: Altman’s warning about an AI bubble applies to marketers too. The temptation to chase every shiny new AI tool is real, but teams should develop an AI experimentation roadmap with clear outcomes to avoid wasting resources. Pushing vendors for case studies can help maximize budgets.

The news: OpenAI’s GPT-5 could be the start of ChatGPT becoming a transaction-driven super app that monetizes user intent, not attention. GPT-5’s router—which analyzes queries and decides how hard to “think” based on complexity—lets OpenAI invest more resources during high-intent moments like “compare hiking boots under $200” or “best smart TVs for co-op gaming.” Prioritizing queries with high commercial value could help OpenAI monetize users not through ads but via affiliate or take-rate revenues, per SemiAnalysis. Partnerships with Shopify and others suggest that monetization stack is already on the way. Our take: A full-service ChatGPT that’s intuitive enough to guide full shopping journeys inside a chatbot while keeping backend costs minimal could rewrite the AI platform’s business model. Brands should be working to optimize for AI-native commerce and integrate with agentic tools.

AI search startup Perplexity shocked the industry with an unsolicited $34.5 billion all-cash bid for Google’s Chrome browser—despite Chrome not being for sale. The offer comes as a US court weighs whether Google must divest Chrome after an antitrust ruling, and positions Perplexity as a ready operator if a spin-off is ordered. Even if the deal never closes, the move amplifies Perplexity’s profile, pressures Google, and underscores the growing importance of distribution channels alongside model quality in AI competition.

The news: The release of OpenAI’s long-awaited GPT-5—a frontier model the company originally expected to launch in summer 2024—hit turbulence almost immediately. Despite high expectations, early users reported the model felt sluggish and less capable than GPT-4o, labeling it “kinda mid.” It’s a surprising letdown for what was billed as a major leap forward. Our take: Marketing and communications remain stubbornly human domains for now. If AI could fully replace them, OpenAI’s own product announcements would run like clockwork. Instead, the debut of one of the world’s most advanced AI models was labeled an avoidable public relations headache, showing that even cutting-edge technology may be remembered less for what it can do and more for how it was introduced.

The news: Apple Intelligence could integrate OpenAI’s GPT-5, its latest model that combines traditional ChatGPT capabilities with deepo3-series reasoning, as early as next month, per 9to5Mac. Updates for a more personalized and intelligent Siri, originally expected in the iOS 18.4 update, were delayed in March until sometime “in the coming year.” GPT-5 could accelerate that timeline and give Apple a more robust foundation for a truly conversational, autonomous assistant Our take: Marketers and publishers should prepare for reduced visibility through traditional search if assistants like Siri can effectively answer user queries directly. Focus on generative engine optimization (GEO) for conversational AI discovery—think FAQs on websites and succinct answers that large language models (LLM) can easily surface.