Executive Briefing: Wednesday 23 September

AI Reshapes Content Discovery and Ad Strategy Artificial intelligence is fundamentally altering how consumers discover content and how brands should approach advertising. Over one in four AI-generated answers to Australian consumers now cite YouTube content directly, positioning it as the sole video or social platform present across every tracked product category. This indicates AI models are becoming new gatekeepers of discovery, rewarding structured and authoritative content over mere follower counts. In advertising, research shows AI-generated ads perform better when they align with campaign intent and theme, with unnecessary AI use leading to consumer backlash. Meanwhile, Google continues to "AIfy" its Ads platform, increasingly automating controls via tools like PMax and AI Max, shifting the marketing focus from granular manual optimisation to setting goals and providing diverse assets. Despite this, AI referral traffic remains low for publishers, suggesting the immediate value lies in earning citations as a trusted source rather than direct clicks. Google's Deepening Role in Online Commerce Google is significantly expanding its direct involvement in online purchasing, automatically enabling native checkout for eligible products through AI Mode on Google Search and Gemini for merchants using Universal Commerce Protocol. This means retailers with compatible platforms, like Shopify, will have their products included by default unless they actively opt out, though Google states retailers retain full ownership of customer relationships and sales. This move coincides with the broader trend of retail media extending beyond retailer-owned properties onto the open web, leveraging first-party data for audience activation across display, connected TV, and social platforms. This evolution necessitates marketers to understand fragmented commerce journeys that span multiple digital environments, not just retailer sites, when planning retail media investments. Additionally, Google Discover is testing a "Dive deeper" feature that provides AI-generated topic overviews, which may further intermediate the path to publisher content. New Regulatory Pressures and Persistent Consent Challenges The regulatory landscape for data privacy continues to intensify, with new laws creating complex compliance requirements for marketers. California's Senate Bill 690 amends the California Invasion of Privacy Act (CIPA), shifting the authority to prosecute "pen-register" metadata tracking from private lawsuits to the Attorney General, yet wiretapping claims remain active, requiring continuous tag auditing and pre-consent proof. In New Jersey, a new data broker law introduces a "data collector" category, mandating registration and fees (from $5,000 to $1.5 million annually) for companies selling or licensing personal data to data brokers, and notably bans the sale of sensitive data entirely without exception. Despite the widespread use of Consent Management Platforms (CMPs), a study of 450 US websites found 79% still loaded at least one targeting or advertising tag after a user opted out, highlighting persistent issues with misconfigured CMPs, unmonitored tags, or incorrect firing sequences that expose organisations to compliance risk. AI Drives Evolution in Agency Value and Partnerships Artificial intelligence is set to dramatically reshape the agency business model, with automation potentially reducing fees for traditional Statement of Work (SOW) execution by 25-75% from July 2026, while increasing the value and cost of strategic work by 15-25%. This shift encourages agencies to embrace AI for efficiency and refocus on strategy, judgment, and governance. The acquisition of LiveRamp by Publicis Groupe further highlights this consolidation, raising concerns about data neutrality and advertiser control, especially for brands running Google Marketing Platform operations in-house, as the company controlling both media execution and identity infrastructure could complicate independent verification. This mirrors a broader commercial trend, exemplified by McDonald’s renewed investment in human customer service alongside digital ordering, suggesting that while AI drives efficiency, the strategic human element remains critical for true value delivery and addressing complex business problems beyond automated reports.