Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:
🚨 AI Top Story: How AI is reshaping influencer marketing from the inside out — and why real creators still hold the mic.
🌟 AI Use Case Of The Week: Colgate-Palmolive’s Hello proves the smartest AI workflow still starts with human instinct.
🎯 Killer Marketing Prompt: One idea, four formats. Use this week’s prompt to scale your best content across LinkedIn, TikTok, email, and blog without losing your brand’s tone.
🎥 AI YouTube Resource Of The Week: From in-tool video editing to smoother scene extensions and smarter Flow integration, this breakdown shows how creators can finally take real control of AI-generated video.
The New Workflow of Influence
Inside the AI Shift in Creator Marketing
Throughout this year, the industry was going mad about AI influencers. The idea made a lot of human creators nervous too - and to be fair, watching synthetic faces rack up followers while real people worried about being replaced did feel like a weird new chapter. What’s actually happening now, and what we’ll likely see more of going into 2026, is less about replacement - and more about reinvention. AI hasn’t taken over the creator economy, but it’s changing how the work gets made.
More than half of marketers say they want to automate parts of the operational side of creator campaigns; sourcing, briefing, approvals, and reporting - while around 39% of creators are already using AI across their full creative process.
For creators, the technology is moving deeper into production and absorbing repetitive work so creators can focus on ideas, tone, and connection. Many are using AI to brainstorm concepts, refine scripts, and test hooks before filming. Others lean on it to analyse audience data, flag brand contract red flags, or manage engagement through tools that mimic their tone of voice. It’s becoming a workflow that mixes creative instinct with automation in a way that actually feels quite practical.
Still, despite the hype, there’s little appetite for virtual influencers. Only 9% of marketers plan to work with them next year; and just 2% are building brand avatars.
Most teams see trust as something built by people, not code. The focus right now is on using AI to make the existing system faster and cleaner, with better matching, smarter editing, and easier ways to scale content that already performs. Brands are testing more creators in parallel, pulling live data into briefs, and shortening feedback cycles.
To me, what we’re seeing is influence becoming more operationally mature, the same creativity, just backed by proper systems for once. It’s not about automation replacing influence; it’s about influence learning how to operate at speed.
So, the next phase of influencer marketing likely sits somewhere between human instinct and machine efficiency. The creators who learn how to use AI to extend their reach will lead, and the brands that move with them will keep pace. For now, the human side of influence still holds the mic, though the tech’s getting louder every week.
🤝 Google's partnership with WPP shows impact of AI marketing - See how WPP’s $400M deal with Google is pushing AI deeper into agency services and campaign tooling.
🚀 Artificial Intelligencer-Inside Anthropic's ambitious 2026 revenue goal - Anthropic is aiming to more than triple its current run rate by 2026, leaning hard into enterprise AI demand.
📊 Effectiveness, creator marketing, AI usage: 5 interesting stats to start your week - Get fresh data you can use; including how 79% of marketers are boosting spend on AI-backed creator content.
🏢 How To Prepare for an AI-Driven Job Market - Practical tips and mindset shifts to stay relevant as AI changes what’s possible in your day-to-day work.
🎯 The Artificially Intelligent Enterprise - Five Advanced ChatGPT Tips
📻 AI Confidential Podcast - Navigating AI Evaluation and Observability with Atin Sanyal
How Capgemini Used AI to Detect Buyer Intent
Colgate-Palmolive’s Hello brand wanted to harness AI to move faster in creative testing, campaign planning, and content production - but without losing the wit, empathy, and authenticity that define its voice. The team found that while AI could generate endless variations, it often missed the nuance that makes a piece of work feel human.
That’s why they built a process that keeps instinct at the center. Colgate-Palmolive’s Hello team doesn’t just rely on AI, they run every recommendation past human instinct before it hits the public. The result is a collaboration model where AI accelerates the work and humans ensure it lands right. The brand calls it “gut-checking AI,” and it’s proving that creative intuition is still the best brand safeguard in the room.
How It Worked
AI for speed and scale
The Hello team uses AI tools to generate campaign ideas, product copy, and creative directions, cutting concepting time dramatically.
Human gut check
Before anything goes live, a dedicated brand team reviews AI outputs for tone, humor, and cultural fit, ensuring every asset still feels authentically “Hello.”
Continuous learning loop
Feedback from the human review process is fed back into the system, teaching the models what passes the brand test and what doesn’t.
Why It Worked
Human tone, AI efficiency
AI handles the volume, humans handle the vibe — keeping creative output on-brand without slowing down.
Faster experimentation
The process lets Hello test more ideas, faster, while protecting brand personality.
Stronger audience trust
By pairing AI with intuition, Hello keeps its messaging playful, relatable, and real — even as it scales automation.
One Idea, Four Channels
Turn one strong piece of content into platform-ready gold. This prompt helps you rework a single idea across LinkedIn, TikTok, email, and blog - keeping tone, message, and intent consistent while making each version sound native to its channel. Perfect when you’ve nailed a concept and want to scale it fast without losing brand voice.
You are an experienced marketing copywriter working for [Brand Name], known for its [Describe brand tone: e.g., witty, bold, trustworthy, conversational] voice. Your goal is to repurpose a single piece of content across multiple channels while keeping tone, message, and audience intent consistent.
Take the following long-form copy and rework it for each format below, making sure every version feels native to the platform and true to the brand personality.
Long-form copy to adapt:
[Paste your source content here]
Rework this into:
LinkedIn thought post (150 words) — written for [Audience type, e.g., marketing leaders, founders, creatives], structured to drive engagement and discussion.
TikTok script (20 seconds) — conversational and fast-paced, aimed at [Target demographic or community, e.g., Gen Z creators, small business owners], with a strong hook in the first 3 seconds.
Email subject line (under 45 characters) — designed for [Email campaign purpose, e.g., product launch, thought leadership, newsletter engagement], optimised for open rates.
Blog intro paragraph (under 100 words) — friendly, SEO-conscious, and built to capture readers in the first two sentences.
Instructions:
Keep brand tone consistent across every format.
Make each version sound like it was written natively for that channel, not copied and pasted.
End by explaining how you adapted tone and structure across the formats.Inside Google’s Big Veo 3.1 Upgrade
Get up to speed on Google’s biggest Veo update yet. Learn how creators can now edit AI-generated videos, combine image “ingredients” for consistent characters, and use Flow to extend and refine footage with smoother transitions and better scene control.
Symptoms: round, hot, and saucy - Doc recommends two slices and a nap.
