Enterprises struggle to integrate AI agents with their existing tools and solutions, with 80% of IT leaders citing data integration as the key challenge.
The image generator’s open-source availability raises concerns about potential misuse for deepfakes and misinformation, especially in the absence of robust AI safety regulations in the US.
Update adds visual intelligence features, app integrations, and automatic opt-in for Apple Intelligence features—which could boost adoption, or annoy users.
In December 2024, Google.com dominated generated AI (genAI) search with 16.5 billion visitors, while runner-up ChatGPT had just 517 million, according to Similarweb.
DeepSeek’s affordable AI is a game-changer for marketers, but DeepSeek’s data privacy practices may scare off companies wary of Chinese server storage and security gaps
Retailers face big hurdles in 2025. From competing with Amazon's advertising empire to figuring out generative AI (genAI) technology to keeping shoppers on apps, these challenges are forcing retailers to adapt quickly. Here's what these problems look like today—and how they could potentially be resolved.
As marketing becomes more directly tied to revenue goals, the ability to measure and report on its impact has declined. Some of that can be attributed to signal loss as the industry moves away from third-party tracking to more privacy-safe identifiers. Today’s audiences are also spread across multiple channels and devices. This makes it harder to track the customer journey and attribute results to specific marketing efforts.
A scrappy Chinese startup disrupts the AI hierarchy with a lean, open-source model, challenging Big Tech’s costly infrastructure and rewriting the rules of AI competition.
While AI adoption could save employees significant time, most still see it as a draft generator—helpful, but far from a finished product.
The AI agent interacts with the internet like a human and could replace personal assistants—but its data storage and cost implications loom large.
As genAI expands beyond chatbots, app categories like banking and messaging could see AI-driven disruption, reshaping mobile habits and spending trends
In-store, consumers want experiences that engage their senses, while online, they’re interested in generative AI (genAI) tools that can help them research products. Plus, young men in the South lead in fast-food consumption, retail leaders lean on loyalty to boost growth, and holiday spending remained in check (for the most part).
US hospitals use predictive AI tools, but many use biased data: Most AI models make recommendations based on homogenous data samples, which could actually harm many patients. But more regulatory oversight of healthcare AI isn’t guaranteed to happen in the near term.
Google is rolling out new features for its AI-powered Performance Max advertising platform, giving marketers more control over their campaigns and deeper insig
Amid leadership upheaval and falling stock, it could be an attractive target for Amazon or Spotify, which could benefit from Sonos’ hardware expertise.
OpenAI can use other cloud providers, but Microsoft retains API exclusivity through 2030—suggesting it may be offloading some costs while keeping strategic advantages.
Traditional prompt-driven AI is giving way to agentic AI, which consists of autonomous agents capable of independently performing tasks, making real-time decisions, and learning from experience. Though it’s still in its early phases, agentic AI enables marketers to enhance operational efficiency, personalize customer interactions, and drive innovation.
OpenAI, Oracle, and SoftBank’s mega-investment in US data centers could fuel AI’s growth. However, soaring energy and water demands may slow the pace.
By scrapping Biden’s AI order, Trump signals a hands-off approach, fueling AI competition but risking consumer privacy and security.
A majority of US companies see strong returns from genAI, but AI mistakes, trust issues, and limited workforce access could stall broader adoption.