Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:

🚨 AI Top Story: Everyone’s getting access to AI tools—almost no one’s being shown how to actually use them.

📊 One Quick AI Hack: Want smarter, cleaner outputs from GPT? Frame your prompt like code, and watch it switch into logic mode.

🎯 AI Tool Of The Week: Google Search ads are getting an AI upgrade on May 27—AI Max expands targeting, rewrites your ad copy, and quietly changes how campaigns are managed.

🌟 Creator Spotlight: Heidi Sturrock shares a mini guide on preparing your campaigns for Google’s AI Max.

One In Four Trained on AI? That’s It?

Is Your Team One Of The Ones Winging it?

AI use at work has skyrocketed from 8% of professionals using it two years ago to 35% today.

On paper, that looks like progress. In practice? Most people are being handed the tools without any real idea how they’re supposed to use them.

According to reports, just one in four workers who got any kind of training last year say it had anything to do with AI. The rest are left to wing it.

Between meetings, deadlines, and the usual onslaught of Slack pings. No roadmap. No context. Just a login and a vague expectation to “be more efficient.”

The problem isn’t the software. It’s the complete lack of support around it.

Companies are rolling out AI like it’s a new office snack. Try it if you want. Don’t if you don’t. Maybe someone sends a cheat sheet. Maybe there’s a webinar. But no one’s saying, “Here’s how this actually fits into your job.”

Marketers don’t need another tool. They need a roadmap. What do you use AI for during campaign planning? How do you use it for personalization without crossing the line into creepy? What does “quality control” look like? How do you brief it, edit it, fact-check it, and know when to ignore it entirely? It’s teaching people how to spot AI BS and still come out ahead.

The real risk isn’t misuse. It’s missed use. Not because teams are resistant, but because no one has created the conditions for them to learn.

The companies pulling ahead aren’t just buying smarter tools. They’re enabling their teams to use them confidently. They’re building real training into the rollout, making space for feedback, and treating enablement like a strategy. Not a side task.

Because the competitive edge isn’t having AI. It’s knowing how to make it work for your people.

💻 Maker of AI ‘vibe coding’ app Cursor hits $9bn valuation - Anysphere's AI-powered coding tool, Cursor, has achieved a $9 billion valuation, highlighting the growing demand for AI-assisted software development tools that enhance developer productivity.

🏛️ ​​OpenAI says nonprofit will retain control of company, bowing to outside pressure - OpenAI has decided to maintain its nonprofit governance structure while restructuring its for-profit arm after facing criticism and legal challenges.

⚠️ Fiverr CEO reveals 8 jobs AI may kill off, Including his own - Fiverr's CEO discusses how AI could automate various roles, from programming to sales, and emphasises the importance of upskilling to stay relevant in the evolving job market.

📱 Google’s new ‘Simplify’ feature for iOS uses AI to make dense text easier to understand - Google introduces 'Simplify' in its iOS app, an AI-driven feature that rephrases complex text into simpler language, aiming to enhance content accessibility for users.

🎯 The Artificially Intelligent Enterprise - ChatGPT’s New Image Capabilities — Beyond Diffusion

☕ AI Tangle - OpenAI's Plan to Become a For-Profit Company Goes Up in Smoke

Why GPT Performs Better with Logical Tasks When Prompted Like Code

GPT was trained on a massive mix of data, including tons of natural language... and tons of code.

Because of that, it’s particularly good at reasoning when a task is framed like code or pseudocode.

Clear logic → defined inputs → predictable outcomes

So instead of asking:

“How should I qualify a lead?”

Ask:
“Write if/then logic to qualify a lead based on job title, site activity, and conversion events.”

You’ll get cleaner, more structured output like:

IF job title includes “VP” OR “CMO”
AND visited pricing page 2+ times
AND downloaded guide
THEN mark as Hot

Why it works:

Code is deterministic. GPT’s training taught it to simulate logic with precision.

Pseudocode simplifies complexity. It forces clear thinking and avoids ambiguity.

It reduces hallucination. When working in logic structures, GPT guesses less and reasons more.

This is powerful for:

• Lead scoring systems

• Email nurture logic

• Funnel routing

• Feature access rules

• Customer segmentation

• Behaviour-based triggers

In other words: real business logic you can plug into your tools.

Pro Tip:

You can even ask GPT to format its response as pseudocode, decision trees, or flowcharts. Just say:

“Write this like a decision tree for automation logic.”
“Format this as Airtable automation rules.”
“Simulate user behaviour as if/else logic.”

Google’s AI Max for Search Campaigns

Google is giving Search campaigns an AI-powered upgrade with a new feature called AI Max. Set to roll out in open beta on May 27, 2025.

It’s everything advertisers wish Performance Max was: smarter automation without giving up control. You still use your keywords—but Google’s AI steps in to expand targeting, rewrite ad copy, and surface new opportunities you’d probably miss on your own.

Why It’ll Be Useful

AI Max brings large language model power into your regular Search campaigns. It goes beyond exact match and phrase match keywords, using AI to understand what users actually mean, and matches your ads accordingly.

Plus, it auto-generates and optimises headlines and descriptions in real-time based on your site and past performance. So your ads evolve, even if you don’t touch them for weeks.

Key Features:

AI-Powered Query Matching: Matches to high-intent search terms—even if they’re not in your keyword list

Dynamic Ad Copy Generation: Headlines and descriptions update automatically based on landing page content and performance data

Brand & Placement Controls: Set exclusions, location preferences, and brand safety rules

Works with Existing Campaigns: No rebuilds needed. Just toggle it on in campaign settings

Pricing:

AI Max doesn’t come with a separate fee. It runs on your existing Search campaign budget and bidding strategy. Meaning you only pay for clicks and conversions like usual.

👉 Read the full announcement

HEIDI STURROCK - Learn what Google’s new AI Max for Search actually changes, who it’s built for, and how to prep your campaigns before it rolls out.

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