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Artificial Intelligence

Retailers are quickly embracing autonomous AI—sometimes referred to as agentic AI—to enhance operations and customer experiences. Gen Z is leading the shift, using AI for discovery and shopping. But to grow adoption across all generations, retailers must build trust through data security and transparency of AI use.

With experts bullish on AI’s potential and the public wary, companies must prove usefulness to close the confidence divide.

On today’s podcast episode, we discuss how companies can figure out where AI should go, how to deal with model inaccuracies, and tons of tips on how best to use AI at work. Join Senior Director of Podcasts and host Marcus Johnson, Senior Vice President Henry Powderly, and Senior Analyst Gadjo Sevilla for the conversation. Listen everywhere and watch on YouTube and Spotify.

Skai launches Celeste AI to streamline commerce media: Celeste combines cross-channel analysis and optimization, cutting task time from hours to seconds.

GenAI adoption complicates retailers’ customer acquisition strategies: Brands are struggling to optimize their websites and product listings to account for rising traffic from genAI tools.

Nonbank lenders face lighter regulatory oversight than traditional lenders, allowing them to take on more risk when it comes to AI. When used in the lending process, AI can speed up approvals and communications while personalizing service.

OpenAI introduces 4o Image Generation: Usage is skyrocketing—but while advertisers are showing more acceptance, consumer sentiment remains a concern.

On today’s podcast episode, we discuss why people might become more worried about using AI at work, why they might become less worried, and how significant an impact artificial intelligence has had on jobs already. Join Senior Director of Podcasts and host Marcus Johnson, Senior Vice President Henry Powderly, and Senior Analyst Gadjo Sevilla, for the conversation. Listen everywhere and watch on YouTube and Spotify.

51% of US adults would prefer not to use AI drive-thrus because they “replace human jobs,” according to a January YouGov survey.

On today’s podcast episode, we discuss what happens when a shelf is empty, how retailers can stay ahead of this, and how signals translate into actionable store-level decisions. Join Senior Director of Podcasts and host Marcus Johnson, Principal Analyst Sky Canaves, Senior Analyst Blake Droesch, and Chief Revenue Officer at Trax David Gottlieb. Listen everywhere and watch on YouTube and Spotify.

AI is reshaping media campaigns—but most companies haven’t fully integrated it yet, according to the State of Data 2025 report from the Interactive Advertising Bureau (IAB). While publishers are leading, agencies and brands are catching up, with many expecting full deployment within the next few years. However, challenges like complexity and data security are prompting the need for clearer strategies, use case definitions, and performance metrics.

Meta introduces new AI ad capabilities: The changes include more investments in Andromeda, new tools for Advantage+, and more genAI use cases.

Nearly half (48.0%) of US digital shoppers want to see AI-driven customer service quality improved or added on ecommerce sites, per a February 2025 survey from Cint and Omnisend.

GenAI is playing a bigger role in the shopping experience: Consumers are turning to AI tools for product recommendations, research, and inspiration.

Despite climate pledges, Amazon, Google, and Meta could face opposition to their nuclear plans—raising questions about readiness to support AI with sustainable infrastructure.

Its new tool helps advertisers dodge harmful content without overblocking, giving brands clearer control over where their ads show up.

With no plan B after Amazon’s exit, the Roomba maker is downsizing, scrambling, and hoping new products can save what’s left.

: Its low-stakes investment strategy lets it back Claude’s standout coding abilities while sidestepping antitrust heat.

By blocking bad bookings and prepping personalized travel planning tools, Airbnb is turning its data into both a policy enforcer and a future revenue engine.