On today’s podcast episode, we discuss the moving target that is consumers’ perception of using AI in advertising, how marketers feel about the technology, and the share of ad buying that is likely to be delegated to AI. Join Senior Director of Podcasts and host, Marcus Johnson, Analyst, Marisa Jones, and Senior Analyst, Gadjo Sevilla. Listen everywhere and watch on YouTube and Spotify.
Video is now core to B2B marketing. This report shows how trust-building through creators, as well as increased AI use, are supporting video’s rise—and how to link performance to pipeline despite rising costs and resource gaps.
LinkedIn debuted several new features for ad automation targeting small- and mid-sized businesses (SMBs) as it looks to expand its advertiser base beyond large brands. The update reduces barriers to professional-grade ad campaigns by offering automation and AI-driven support that previously demanded larger budgets or in-house expertise.
A new Teads Connected TV paper shows AI has firmly entered the mainstream of video advertising. Sixty percent of marketers now use generative AI to create scripts, voiceovers, and visuals, while others rely on AI tools for audience insights, performance analysis, and real-time optimization. The findings highlight a clear opportunity—marketers that combine AI’s scale and predictive testing with human oversight can build campaigns that are both efficient and distinctive.
Amazon Ads has unveiled an agentic AI tool inside Creative Studio, designed to serve as a real-time creative partner for advertisers. Through a conversational interface, brands can brainstorm, storyboard, and generate professional-quality video and display ads in hours instead of weeks—at no extra cost. Powered by AWS models like Amazon Nova and Anthropic Claude, the system combines retail insights with automation to democratize high-quality ad creation once limited to big-budget brands. Early testers, including Nestlé Health Science, praised its ability to surface new insights and scale campaigns, underscoring how platforms like Amazon, Meta, and Google are redefining advertising.
TikTok is laying off hundreds of UK staff as it shifts moderation to AI, with more than 85% of takedowns now automated. The cuts, part of a global restructuring, come as the UK’s Online Safety Act pressures platforms to strengthen oversight. Industry peers are also pivoting—Meta and X have scaled back fact-checking while Reddit, Pinterest, and Snapchat adopt varying models of control. Yet user sentiment runs counter: Most want more human oversight, not less, with strong demand for fact-checkers, privacy, and quality control. The divergence raises brand-safety questions as advertisers weigh cost efficiencies against consumer trust.
On today’s podcast episode, we discuss our ‘very specific, but highly unlikely’ predictions for the future of digital in 2026 and beyond. Why browsers will become the new AI battleground, what does it mean if agentic AI doesn’t take over shopping, and can GenAI actually lead to more of the jobs it can easily destroy? Join Senior Director of Podcasts and host, Marcus Johnson, Senior Director of Briefings, Jeremy Goldman, Principal Analyst, Sara Marzano, and Vice President of Content, Paul Verna. Listen everywhere and watch on YouTube and Spotify.
The news: Despite the shift toward programmatic advertising, a study from the Association of National Advertisers (ANA) identified a lingering issue with the trend: The growth of wasted ad spending. The amount of wasted ad spend in programmatic advertising has risen 34% in two years, up to $26.8 billion from $20 billion in June 2023. Our take: The efficiency and growing relevance of programmatic comes with brand safety trade-offs, making transparency and stronger verification a prerequisite for sustained investment.
The advertising industry’s age and experience mix is shifting fast. In the US, entry-level roles are shrinking as automation replaces routine tasks, while in Australia, “juniorisation” favors younger, digitally fluent hires over seasoned veterans. Agencies face a balancing act—bringing in Gen Z talent to master AI-driven tools and authentically shape campaigns, while retaining senior expertise crucial for strategy, oversight, and client trust. Without a robust entry-level pipeline today, the industry risks a future shortage of homegrown leaders just as marketing grows more complex.
Elon Musk plans to sell paid placements within Grok’s AI-generated answers, marking his first major advertiser pitch since Linda Yaccarino’s departure. Grok, X’s in-house AI assistant built by xAI, will integrate ads directly into responses, offering brands high-intent, context-driven targeting. The move comes as X’s global ad revenues, projected at $2.26 billion in 2025, remain roughly half of pre-Musk levels. Musk says Grok will eventually automate the full ad-buying process, from creative grading to personalization, aiming to improve efficiency and performance. With user growth declining in every major region, the strategy hinges on whether brands trust Musk’s AI-led vision enough to re-engage.
B2B social media has evolved from an awareness tool into a central part of how brands build trust, influence buying decisions, and drive business growth. AI, video, and influencer marketing are reshaping strategies and raising expectations for measurable impact.
The news: When asked where they’re seeing the most return on their AI investments, 68% of Canadian banks cited a back-office implementation, while just 32% cited a customer-facing capability, per GFT’s 2025 Banking Disruption Index Report. Our take: Prevention is an obvious area for AI investment, given the rising costs of cybersecurity and fraud incidents. But it’s a good sign that banks are also investing in enhanced customer-facing capabilities that could help them attract and retain customers. They should prioritize these investments going forward, particularly with agentic AI on the rise. Customer-experience improvements are essential even if their value isn’t immediately quantifiable: Over half of Canadian banking customers say they would leave their bank due to a poor customer experience.
The news: Walmart is testing dark stores in Dallas and Bentonville, Arkansas, as part of its broader effort to speed up deliveries, per Bloomberg. Our take: Amazon’s latest pledge to offer one- or same-day delivery in 4,000 smaller cities and rural areas by year’s end is the latest salvo in its relentless quest to raise the bar on convenience. For Walmart, keeping pace isn’t optional—it’s essential. Fortunately, Walmart has the scale and infrastructure to compete. Fast delivery isn’t just about logistics; it’s a powerful driver of customer loyalty. When shoppers know they can get essentials like toothpaste at their doorstep within hours, they’re more likely to click the buy button rather than venture out to a store.
Grocery delivery intermediaries like DoorDash and Uber are gaining ground, offering new ways to reach high-intent shoppers. Meanwhile, retailers like Walmart and Amazon continue to lead with strong delivery infrastructure and valuable customer data.
The trend: Retailers and brands are rapidly weaving generative AI (genAI) into their operations to boost efficiency and scale without adding significant headcount. The breadth of the initiatives signals an abrupt shift in many companies’ thinking about genAI from a useful tool to a potential core business driver. Our take: GenAI enables companies to do more with less—a crucial advantage at a time when macro uncertainty is making many firms wary of increasing their headcount. As early adopters scale their efforts and share results, momentum will grow—prompting others to follow out of necessity, not choice.
On today’s podcast episode, we discuss how Americans’ feelings towards AI have changed this year, the gaps in concern between AI experts and the general public, and the best ways to get started with AI. Join Senior Director of Podcasts and host Marcus Johnson, Analyst Grace Harmon, and Senior Vice President of Media Content and Strategy Henry Powderly. Listen everywhere and watch on YouTube and Spotify.
The news: The Trade Desk unveiled Deal Desk, a new tool to fix the inefficiencies in private marketplace buying, where up to 90% of structured deal IDs fail to scale. By automating deal creation via API and surfacing metadata like fit and availability, Deal Desk aims to save time and unlock premium inventory. Our take: As PMP spending overtakes open exchange buys, The Trade Desk is shoring up the backend infrastructure that supports this shift. Deal Desk positions the company to capture more high-value spend and offers a cleaner path to scale in a fragmented programmatic landscape.
In this report, CMOs share how they’re transforming influencer strategies to deliver business impact—and what solution providers can do to help.
On today’s podcast episode, we discuss where GenAI is being used along the current shopper journey, how agents can help, the most overhyped piece of this, and one thing retailers and brands are paying enough attention to as a result. Listen to the conversation with our Senior Analyst Sara Lebow as she hosts Senior Analyst Carina Perkins and Principal Analyst Yory Wurmser.
On today’s podcast episode, we discuss the many definitions of an “AI agent”, why they’re so hard to build right, and what comes next. Join Senior Director of Podcasts and host Marcus Johnson, Analyst Jacob Bourne, and Vice President of GenAI Dan Van Dyke. Listen everywhere and watch on YouTube and Spotify.
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