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

🚨 AI Top Story: Meet the roles emerging as AI becomes part of everyday marketing..

🎥 AI YouTube Resource Of The Week: A visual breakdown showing exactly how GPT-4o’s image gen has improved.

🎯 AI Case Study Of The Week: With just a few tweaks to existing workflows, Here’s how Woolworths made AI useful across thousands of roles.

🌟 Creator Spotlight: Artur Sossin breaks what GPT-4o’s image update actually fixed.

Meet the New Roles AI Is Creating in Marketing

AI Is Creating a Whole New Kind of Marketer

AI is starting to reshape the way marketing teams work. It’s changing the kinds of work we do, the skills we need, and how teams are structured. Some roles are evolving, others are being created from scratch. And while the job titles might sound a little futuristic, this shift is already well underway.

Let’s take a look at some of the roles that are emerging as AI becomes more deeply embedded in everyday marketing work.

One of the first to show up is the AI prompt manager. As more teams use LLM’s to write emails, ad copy, or even internal docs, someone has to figure out how to talk to the AI in a way that gets good results. That means writing clear, specific prompts, testing what works, and making sure the tone still feels on-brand. It’s a mix of writing, editing, and a bit of trial and error, and it can make a big difference in what the model delivers.

That said, the longevity of this role is up for debate. As models get smarter and prompt interfaces improve, this could become less of a specialised function and more of a shared skill everyone’s expected to have.

Then there’s the AI trainer, who helps the model get smarter about your brand. This person feeds it the right examples - past campaigns, product details, tone-of-voice guides - all so the AI knows how to sound like you.

That means keeping the AI’s memory up to date and making sure it’s working with clean, accurate data and information. The quality of what you feed it directly impacts the quality of what you get back.

The AI marketing engineer is more behind-the-scenes, but just as important. They’re the ones hooking up different tools so content can move more smoothly from idea to execution. This might mean setting up automations, connecting platforms, or building lightweight systems to speed up workflows. It’s a role that’s becoming especially valuable for teams trying to scale AI use without adding unnecessary complexity.

Once content is out in the world, the AI performance analyst steps in. Their job is to look at what the AI is generating and figure out if it’s actually working. Are those AI-written subject lines getting clicks? Are the product descriptions driving conversions? They dig into the data to understand what’s landing and what’s not, then feed those insights back into the process to keep improving results.

Finally, there’s the AI compliance manager, who keeps things aligned with evolving laws and policies. With new rules around data usage and AI transparency showing up in more regions, someone needs to track what’s changing and make sure the team’s tools and tactics stay compliant. This role is part risk management, part internal translator - making sense of legal language and applying it to real-world marketing decisions.

Most teams aren’t hiring for these roles as standalone jobs, at least not yet. But the responsibilities are already showing up, often handed to the people who raise their hand first or start experimenting early. As AI becomes more foundational to how marketing gets done, these functions will only grow.

📈 Demand up for AI and growth skills in marketing, study finds - AI and growth skills are now the most in-demand capabilities for UK marketers, according to new LinkedIn data.

🧠 How Google’s New Canvas AI Workspace Will Supercharge Influencer Marketing - Google’s new AI workspace helps influencer marketers draft outreach, generate content, and streamline creative tasks.

⚙️ How Should Gen AI Fit into Your Marketing Strategy? - Generative AI is best used to boost content creation and accelerate strategy - not replace your marketing team.

💸 "We saved $350 million last year using AI agents" - ServiceNow saved $350M by rolling out AI agents across ops, support, and internal workflows.

🖼️ Introducing 4o Image Generation - Generate clean, brand-ready visuals—mockups, ads, even charts - right in ChatGPT.

Launch Smarter, Faster Ads With Cuttable

Cuttable is a new AI ad tool built by a small team of engineers and creatives who’ve spent years behind the scenes helping big brands move fast. Now, they’re taking everything they’ve learned and putting it into a platform that helps marketers create high-performing ad content—quickly, and without cutting corners.

It’s built for teams working at the pace of social. You give it a brief, and it uses AI to generate on-brand, ready-to-run creative in hours instead of weeks. It pulls from your best-performing ads, learns what works, and adjusts based on your goals, your tone, and who you’re trying to reach.

The tool is still in early access, but it’s already being picked up by teams that need high volume without losing quality.

Key Features:

⚡ Fast Turnaround – Go from idea to finished ad in a fraction of the time.

🎯 Performance-Driven Outputs – Creative optimised to match your goals and audience.

📦 Multi-Format Generation – Get static, video, and text variations tailored to each platform.

📊 Built-in Learnings – The more you use it, the smarter it gets about what works for your brand.

🧠 Creative Intelligence Layer – Combine brand voice, data, and trend awareness to produce ads that actually perform.

Marketing Use Cases:

Launching always-on social campaigns that adapt in real time

Testing dozens of ad variations without burning through team hours

Refreshing stale creative without starting from scratch

Helping small teams compete with high-output brands

Access Info:

Cuttable’s in early access, which means you can try it now and help shape the tool as it grows.

Click Here To Apply For Early Access

ARTUR SOSSIN - A breakdown of what GPT-4o’s image update actually fixed

A visual breakdown showing exactly how GPT-4o’s image gen has improved

What 10,000 Admin Staff Gained from Google Workspace’s AI Tools at Woolworths

The Overview

Woolworths has rolled out generative AI across internal tools and customer-facing operations, helping teams write faster, create smarter promotions, and deliver more efficient support.

The Implementation

Over 10,000 admin employees now use the “Help me write” feature inside Google Workspace tools like Gmail and Docs. The rollout was company-wide, but the key to adoption was keeping it simple. No separate training sessions or new tools to learn—just a quick walkthrough on how to get the most out of the built-in AI features. By embedding AI directly into workflows employees already use every day, Woolworths removed friction and drove faster uptake.

Employees now spend less time stressing over tone, grammar, or structure, and more time focused on clarity and action. That’s improved both speed and confidence in communication, especially when dealing with cross-functional teams or external partners.

Meanwhile, Gemini is helping the marketing team build more relevant, data-backed promotions based on customer behaviour. Campaigns are now faster to create and more likely to convert, helping Woolworths stay competitive in a crowded retail space.

On the customer service side, Gemini generates real-time summaries of a customer’s previous interactions, so agents aren’t starting cold. This means faster response times, more accurate answers, and a smoother overall experience for customers reaching out for help.

The Impact

Across departments, people are working smarter. Internal messages are sharper, promotions are more personalised, and support reps are better prepared.