Technology

Agentic AI beat static allocation models in tests, providing a glimpse into the future of banking AI.

Health advice is the No. 1 reason consumers turn to AI for guidance, putting greater pressure on physicians to correct inaccurate information.

Meta’s AI tools create headaches: Marketers must catch errors before campaigns go live due to faulty AI tools.

Streamer content recommendations lose influence: Fragmented discovery journeys add impression touchpoints but remove platforms’ control.

Biogen's early stage therapy will prompt health systems and providers to rethink how they care for Alzheimer's patients remotely.

Issuers should design products around value and essentials as consumers demonstrate resilience.

Apple is positioning its redesigned Siri to compete directly with ChatGPT and other AI assistants with what competitors can't match: billions of active devices already in users' hands and deep integration with personal data stored on those devices. "It's less of a takeover, but more like a fork in the road," said our analyst Gadjo Sevilla, on a recent episode of "Behind the Numbers." "Apple is not competing in that space. It's not a general free-for-all model. What it is doing, however, is infusing its own brand of safe, and as we're seeing, highly personalized AI features designed around its users."

For brands selling products with long purchase cycles, like mattresses, cars, or appliances, the marketing challenge isn't just winning the sale. It's staying in consumers' minds for years before they're ready to buy.

In June 2026, we analyzed 4,010 ChatGPT recommendations across 13 categories in the tech hardware and devices industry to compile the AI Visibility Index.

Smart home devices have started to reach the mainstream. While security remains the core, categories like lighting and utility are bringing device interoperability to a growing number of households.

OpenAI’s partner list gets messy: Apple’s suit adds another public dispute as OpenAI courts brands, users, and IPO investors.

Meta starts charging for AI: Paid tiers for users and developers could make AI a new revenue pillar for Meta and a bigger part of marketers' tech budgets.

AI exposes CX gaps: AI pays off across use cases, but weak escalation and bot transparency threaten brand trust.

AI users seek direct answers: Answers to specific questions are AI's top search use case, making authoritative content as important as clicks.

Almost half (44%) use AI, but limited training and low confidence keep most nurses double-checking outputs, reducing time savings from the tech.

In today’s podcast episode, we discuss what SpaceX’s IPO says about xAI’s position in the AI race, why so many AI companies are rushing to go public this year, whether these IPOs will drive business growth or become a distraction for shareholders, and how much these AI giants are actually competing with one another. Join Senior Director of Podcasts and host Marcus Johnson, along with Analyst Jacob Bourne and Principal Analyst Nate Elliott. Listen wherever you get your podcasts, or watch on YouTube or Spotify.

EU regulators challenge Meta’s app designs: Meta may have to redesign “addictive” social media features, testing ad performance and platform mechanics.

Live sports reward streamers with user acquisition: Exclusive events create can't-miss moments that offer engagement and advertising opportunities.