The share of consumers who view generative AI as a negative disruptor in the creator economy has nearly doubled, jumping from 18% to 32% since November 2023, according to a July survey from Billion Dollar Boy and Censuswide.

The insurance industry has been an early mover on AI adoption, outpacing all industries but one among those studied in a BCG survey. But progress has stalled at the pilot stage: the majority of insurers (67%) are testing genAI programs, while only 7% have scaled them. Insurers should modernize their data architecture and tie their technology investments to business outcomes. Opportunities abound, from claims automation to embedded distribution.

Most retailers are still in the early stages of genAI adoption; while results are limited thus far, companies are bullish about opportunities for efficiency gains and improved CX.

Digital ad spending remains resilient although economic signals are wobbly. AI-driven optimization, richer first-party data, and surging digital video will keep growth strong even as search shifts and traditional budgets fade.

As consumers grow more comfortable with using AI, retail industry leaders see 2026 as a pivotal year in shaping how the emerging technology disrupts the way people shop.

Consumers are integrating AI into everyday health searches as tools grow more conversational, even though output reliability remains uneven. The balance of speed, accuracy, and trust will shape how people use AI for information and care.

Disney will invest $1 billion in OpenAI and allow Sora users to create short-form videos featuring more than 200 Disney, Pixar, Marvel, and Star Wars characters. User-generated material opens a new potential spigot of low-cost content for Disney+, which is under increased pressure to compete with YouTube. The move marks a major shift for a conglomerate that has historically held its IP close to the chest.

Over half (52%) of senior data and technology executives worldwide use generative AI to boost internal productivity, according to a June survey from MIT Technology Review Insights.

Retail media’s early free-for-all is giving way to a more deliberate approach. At last week’s EMARKETER Summit, leaders from Kellanova and Every Man Jack described how marketers are sharpening their focus, rethinking measurement, and preparing for an AI-driven discovery landscape.

McDonald’s has pulled an AI-generated Christmas ad after a wave of online backlash. Upon removal, McDonald’s said to BBC News that the ad was “an important learning” for the company’s understanding of “the effective use of AI.” McDonald’s teaches a valuable lesson: Consumers aren’t yet ready for ad creative that is built entirely on AI. But advertisers still face a landscape where not using AI is a detriment to staying ahead. Balance is now a competitive differentiator.

AI isn’t replacing search—it’s moving earlier in the journey. OpenAI data shows only about 2% of ChatGPT prompts mention purchasable items, yet product suggestions appear in nearly one-third of prompts unrelated to shopping. For health and productivity queries, those rates jump above 40%. Meanwhile, AI minutes have quadrupled year over year while Google search usage remains slightly up, meaning AI is adding a new discovery layer, not cannibalizing intent-based search. For marketers, this creates a new upstream battleground where LLMs shape category awareness before comparison shopping begins. Brands must map the non-shopping conversations where their products naturally surface.

LinkedIn released a report on the trends shaping small businesses in 2026, proving that technology, trust, and relationship building will be the pillars of success for small businesses in the years ahead. Despite the unique roadblocks small businesses face amid current macroeconomic conditions, success is possible for those who stay on top of emerging technologies, invest in their digital presence, and build professional relationships.

In 2026, dominant platforms like Google and Amazon will flex their muscle against ChatGPT; smaller players like Perplexity and Claude will need to make either product moves or M&A moves; and AI-focused marketers will spend more on YouTube than ads on AI platforms.

The FDA is introducing agentic AI to help its drug reviewers, investigators, and scientists carry out more complex tasks and develop AI-driven workflows. Its move into agentic AI signals that AI-driven review is becoming a regulatory norm.

Shifts in what consumers watch, how they search, and where they shop are reshaping Latin America’s digital economy—and how brands will reach audiences in 2026. Explore the five trends to watch in the year ahead.

Generative AI tools increasingly rely on community-driven platforms—Reddit, YouTube, Wikipedia, Yelp, TripAdvisor, and more—as primary sources that feed directly into consumer-facing answers. Because AI does not distinguish between search content, social chatter, reviews, creator posts, or earned media, brand visibility now depends on cross-team coordination rather than siloed optimization. Upstream conversations matter: if forums, reviews, or public commentary lack clarity or depth, AI responses will mirror those gaps. And because users often begin with general queries—not shopping-specific ones—early influence happens long before product discovery. To stay visible, brands must unify search, social, PR, and content workflows.

Apps dominate mobile activity and are essential for marketers and publishers to reach audiences. Key data shows how app users are shifting, which apps they prefer, and the outlook for consumer spending and ad revenues.​

Consumers increasingly have a negative perception of generative AI (genAI) in the creator economy while fewer see it positively, per a Billion Dollar Boy Study. AI is becoming a necessity across marketing strategies. Negative consumer attitudes toward AI in the creator economy suggest that it’s not whether advertisers and creators use AI, but how they use it that will determine if they see success or face backlash.

Baidu posted its sharpest revenue decline on record, with ad revenues falling 18% as AI-generated answers replace traditional search clicks. Ernie Bot now powers responses on most Baidu queries, improving user experience but suppressing monetizable activity—a trend management says will weigh on results into Q4. Competitors like Tencent, ByteDance, and PDD are still growing 20% to 30% YoY, suggesting Baidu’s weakness is structural. While the US market is more diversified, Baidu offers a stress test: AI can reshape search faster than monetization evolves. For advertisers, it’s a reminder that even Google and Microsoft must balance innovation with economic stability.

OpenAI faces rising pressure from Google’s Gemini 3 because of its improved performance and multimodal functionality in text, sound, vision, video, and coding tasks. Meanwhile, new data shows that ChatGPT drives far less traffic to publishers than expected. Gemini 3’s leap forward and ChatGPT’s diminishing user clicks force brands to rethink how they show up in a world where answers live inside the model, not on the open web. Optimizing for generative engines now and focusing on answer-ready content will drive traffic, monetization, and attribution later as more engagement happens inside AI rather than after clicks.