This website uses cookies

Read our Privacy policy and Terms of use for more information.

In partnership with

Your weekly guide on everything AI marketing. Covering everything from AI marketing news, tips, deep dives, events, podcasts, jobs and much more. Never miss a beat with our 5-minute newsletter.

In today’s email:

  • Publicis drops $2.5bn on LiveRamp to win the agentic data race

  • Google rebuilds the search ad around AI Mode and a Universal Commerce Protocol

  • Walmart says Sparky shoppers spend 35% more than humans

  • Plus: a Harris Poll CEO on AI's cultural fault lines, a Wharton podcast on AI's workplace shift, an AdGen ad-variant workflow, and four fresh AI tools for marketers.

The Top 3 Stories

1. Publicis bets $2.5bn on LiveRamp to win the agentic data race

Publicis announced a $2.5bn all-cash deal for LiveRamp on 17 May, a 30% premium that hands the holding company a 25,000-publisher identity graph. CEO Arthur Sadoun framed the move as a play on agentic transformation, not classic media buying. The deal lifts Publicis' 2027-28 growth targets by a full point.

Why it matters: Agents built on co-created data outperform agents trained on generic data, and the holding companies just made identity their moat. πŸ“° Marketing Dive

2. Google rebuilds the search ad around AI Mode and the Universal Commerce Protocol

At Google Marketing Live on 20 May, Vidhya Srinivasan unveiled Gemini-built ad formats for AI Mode, a Universal Cart, Ask Advisor inside Merchant Center, and a Universal Commerce Protocol for agent-driven shopping. Search now serves answers, not blue links, with sponsored explainers and conversational shopping inside the SERP. Most components ship this summer.

Why it matters: The keyword era of paid search is ending; the ads that survive are the ones an AI answer cites. πŸ“° Search Engine Land

3. Walmart says Sparky shoppers spend 35% more than humans

On its Q1 call on 22 May, Walmart CEO John Furner said customers using its Sparky AI agent post a basket value 35% higher than non-users, with weekly actives up over 100% in the quarter. Units bought through Sparky have more than quadrupled, response quality climbed 40% this year, and Sparky now serves Spanish speakers and in-store replenishment.

Why it matters: Agentic shopping just stopped being theoretical, and brand teams without a chat-surface playbook are ceding share to those who have one. πŸ“° Digital Commerce 360

More trending AI marketing news from last week

  • The Next Web reports Salesforce's Agentforce showcase demos are still works in progress.

  • Havas argues marketers must modularise their stack for agentic AI, AdExchanger.

  • Sinch finds 74% of firms have rolled back an AI customer agent.

  • Andrej Karpathy joined Anthropic's pre-training team, TechCrunch reports.

Winning, on-brand adsβ€”without endless prompting

Most AI creative tools fall short for one simple reason. You can generate tons of ads, but they aren’t up to par.

Refining copy, adjusting layouts, or nudging a CTA into place shouldn’t require rewriting prompts over and over. It slows teams down and breaks the creative process.

With Hightouch Ad Studio, AI gets you 90% of the way there. For the final 10%, use a built-in editor to quickly refine copy and design, or export directly to Figma for seamless collaboration with your design team.

Move faster without losing control. Every ad, exactly how you want it.

Quote of the week

❝

The cultural fault lines are quickly being drawn on whether AI is a benefactor or a 'broligarchy."

John Gerzema, CEO of The Harris Poll, in Axios, 19 May 2026.

Trending AI tools for marketers

Here are 4 trending tools to explore this week. Quick, practical upgrades to your AI marketing arsenal:

  • Adsby: AI co-pilot that optimises every click in your Google Ads.

  • AdGen AI: Generates 100+ on-brand ad variations from a single URL.

  • Nexuscale AI: Autonomous outbound OS for lead research and sequences.

  • Lightfield: AI-native CRM that reads your inbox and updates itself.

TV, podcasts & streaming

Where AI Works (Wharton): Host's cut, reflections on season five


Matthew Bidwell distils season five into one thesis: AI has stopped being a pilot and is now restructuring how decisions get made at firms like Accenture, eBay and Expedia. For marketers, the question is no longer what AI can do, but what judgement still belongs to humans. Listen to it here.

AI training

How to ship 50 on-brand ad variants in under 30 minutes using AdGen AI

The overview:

AdGen AI pulls a single product URL into a creative engine and ships dozens of brand-consistent ad variants ready to test across Meta, TikTok and Google.

Step-by-step:

  1. Drop in your URL
    Paste your product or landing-page URL into AdGen. The cleaner the page copy and imagery, the cleaner the first set of variants.

    2. Lock the brand kit
    Upload your logo, colour palette and fonts in the brand settings. Skipping this is the single biggest reason marketers get off-brand drafts back on the first run.

    3. Define audience and intent
    Write a one-line audience brief and pick a campaign objective, for example new customer acquisition. Keep the audience description tight so the model does not blur targeting across personas.

    4. Generate the first 50 variants
    Click create and let AdGen produce static and short-video variants in parallel. Aim for at least three formats per variant so you can A/B across placements without a re-render.

    5. Filter, brand-check, and reject
    Tick the variants that pass your brand guidelines and drop anything that misuses your wordmark or stretches your strapline. Better to reject ten on-brand-but-weak drafts than ship one off-brand winner.

    6. Push to your ad platform
    Export the approved set to Meta or Google Ads via the integration. Tag the launch with the prompt and audience brief so you can attribute lift back to the exact input.

Pro tip: Save your strongest URL-plus-prompt pairings as templates so every new launch starts from a proven brief, not a blank page.

The weekly deep dive

The agentic content economy: who gets paid when an AI reads your content

Parag Agrawal's new startup Parallel is forcing a question every CMO will face within twelve months: when an AI agent reads, summarises and resells your content, who gets paid?

Agents read 1,000 times more than humans

Parallel's argument is that the volume of content consumption is about to flip. Where humans skim, agents ingest at industrial scale, then condense the web into a few hundred words of answer. Index, Parallel's new marketplace, launched on 19 May with The Atlantic, PR Newswire, Packy McCormick's Not Boring and Mario Gabriele's The Generalist already on board.

Advertising economics break when nobody clicks

The ad business runs on attention, and attention assumes a human on the other end. With AI agents driving a fast-growing share of page reads, the click-and-impression economy unwinds. That is why Index pays per task completion rather than per view, and why platforms are racing to invent equivalents for branded content and creator partnerships.

Brand-owned content becomes a balance-sheet asset

For marketers, the takeaway is sharper than another GEO checklist. Content an agent will cite, condense or transact against starts to look like a balance-sheet asset, not a top-of-funnel cost. The agencies winning the next budget cycle will be the ones who can show a CFO how a piece of content earned its way into an AI answer, and what that answer is worth in pipeline.

Our takeaway: Treat every piece of brand content as an agent-readable signal, and start measuring citation and reuse the way you used to measure pageviews.

πŸ“– Read the full article at Fortune

Reply

Avatar

or to participate

Keep Reading