Story 1: Meta just overtook Google in ad revenue

This one is real, and it matters. Emarketer's forecast confirms Meta will pull in $243.46 billion in global ad revenue in 2026, edging past Google's projected $239.54 billion. It's the first time in the history of digital advertising that Google hasn't held the top spot.

The gap is being driven by growth rate, not size. Meta is growing at 24.1% year-over-year. Google is growing at 11.9%. That trajectory, sustained for two years, is what produced the crossover.

The engine behind Meta's growth: Advantage+, the AI-automated ad system. It's now running at a $60 billion annualised clip. Advertisers report roughly a 41% higher blended return on ad spend compared to manual campaigns. That number is doing a lot of work.

📊 The Numbers

Meta 2026 ad revenue: $243.46B (projected). Google: $239.54B. Meta growth rate: 24.1%. Google growth rate: 11.9%. Meta's Advantage+ annualised run rate: $60B.

What's actually driving Meta's growth isn't just Advantage+. It's three vectors compounding: Reels competing directly with TikTok and YouTube Shorts for short-video ad spend, WhatsApp's paid business messaging crossing $2 billion in annualised revenue, and Threads beginning to monetise. Google is heavily dependent on search, and search is being disrupted by AI Overviews eating organic clicks.

What the Meta-Google shift means for your budget

If your media allocation still runs Google-first, now is the time to stress-test that assumption. This doesn't mean abandon Google — Search remains the most efficient channel for high-intent, conversion-focused campaigns. The complication is the mid-funnel.

Brand awareness, retargeting, prospecting, and consideration — these are the stages where Meta's AI automation is now consistently outperforming. The practical question: when did you last audit your budget split between Google and Meta for mid-funnel activity?

One concrete move: if you're spending on Performance Max but haven't touched audience signals in the last quarter, do that now. PMax is increasingly black-box, and Meta's creative-first approach is winning the transparency and control argument among advertisers.

Story 2: ChatGPT ads went self-serve

OpenAI dropped the $50,000 minimum spend requirement. ChatGPT advertising is now accessible to businesses that aren't enterprise accounts. This is a meaningful change — the previous barrier kept the entire channel inaccessible to the audience that reads this newsletter.

Here's what you actually need to understand about how these ads work. They appear at the bottom of ChatGPT responses, not inside them. OpenAI has a published "Answer Independence" principle: advertisers cannot pay to influence what ChatGPT says. The ad serving system runs separately from the response generation. That's important for trust, and it's worth explaining to clients who ask.

Targeting is conversation-context-based, not keyword-based. A user asking ChatGPT how to improve their email open rates might see a sponsored listing for an email marketing tool. The intent signal is the conversation itself, which is a fundamentally different targeting mechanic than search or social.

⚠️ What We Don't Know Yet

Attribution is limited during this launch phase. Standard click attribution doesn't capture the full influence of ChatGPT interactions — AI-influenced traffic is estimated to run 2–3x what analytics typically reports. Before scaling spend, build a measurement approach that doesn't rely on last-click.

Should you test ChatGPT ads right now?

Probably, if you're in SaaS, tools, or any category where your buyer is likely already using ChatGPT to research options. The intent context is high. The competition is still low — most advertisers are watching rather than testing.

The honest caveat: CPMs are roughly $60, measurement is limited, and audience targeting is less granular than Meta or Google. This is a first-mover opportunity with first-mover uncertainty. Test with a small budget, optimise for the specific conversation context your buyer is in, and set up GA4 UTM parameters to separate ChatGPT paid traffic from organic ChatGPT referrals.

If your buyer isn't on the free or ChatGPT Go tier — if they're Plus or Enterprise subscribers — they won't see these ads. Worth knowing before you build a strategy around the channel.

Also worth noting this week

Google dropped FAQ rich results in Search, and removed the corresponding feature from Search Console. If you've been building FAQ schema specifically for rich result eligibility, the direct benefit is gone — though schema still contributes to AI Overview citation likelihood, so it's not dead.

Google Search Console is rolling out AI performance reports and AI blocking controls. The blocking controls are particularly interesting: brands will be able to opt out of AI Overview inclusion, which creates a genuine strategic decision about whether AI visibility serves your acquisition model.

The May 2026 Core Update finished rolling out last week. Sites reporting the biggest drops share a pattern: thin content structured around keyword intent rather than genuine expertise. Sites reporting gains are predominantly those with first-hand data, original research, or clear practitioner authorship signals. The update continues to reward the same things the helpful content guidance has been pointing at for two years.

The one thing to do before next week

Pull your last 90 days of GA4 traffic sources. Look at the ChatGPT referral line — how much organic AI-sourced traffic are you already getting? That baseline tells you whether ChatGPT ads are additive or whether you're cannibalising an existing organic foothold. Most teams haven't looked at this yet.

Frequently Asked Questions

What is Meta Advantage+ and why is it growing so fast?
Advantage+ is Meta's AI-automated campaign system. You provide creative assets and a budget; the system handles audience targeting, placement, and bidding automatically. It's growing because it's producing measurable ROAS improvements — roughly 41% better than manual campaigns on average. The underlying reason is that Meta's targeting data (across Facebook, Instagram, WhatsApp, and Threads) is extensive enough that the AI outperforms most manual audience-building.
How do ChatGPT ads target users?
Targeting is based on the context of the user's conversation, not traditional keywords or demographic profiles. If a user is asking ChatGPT about email marketing tools, ads for email marketing tools may appear. This is intent-based targeting at the moment of research — which can be more valuable than keyword targeting, but is less predictable and harder to measure than what you're used to on Google or Meta.
Does the Google Core Update affect AI-assisted content?
The May 2026 update evaluates content quality, not production method. AI-assisted content that demonstrates genuine expertise, first-hand experience, and useful depth is treated the same as human-written content that meets the same bar. Generic, keyword-stuffed AI content — the kind produced without a strong brief and no human editorial layer — is what the update targets.
Should I shift budget from Google to Meta?
Not wholesale. Google Search retains a strong advantage for high-intent, conversion-focused campaigns. Where the rebalancing argument is strongest: mid-funnel awareness, retargeting, and prospecting campaigns. If your current Google spend is weighted toward Discovery or Display rather than Search, that's the first place to evaluate whether Meta Advantage+ would outperform.
What happened to FAQ schema in Google Search?
Google dropped FAQ rich results — the visual expanded FAQ snippets that appeared in search results. The corresponding Search Console reporting feature has also been removed. FAQ schema itself still has value for AI Overview citation likelihood and structured data signals, so removing it entirely isn't recommended. But the SERP visual benefit is gone.