Adobe & OpenAI are about to change your video strategy 🎥

On the Menu 📖

• 🥏 Adobe Firefly Boards: The new AI video platform that speeds up content creation.

• 🎶 OpenAI’s TikTok Competitor: A new social app for AI videos and the copyright dilemma.

• 🤖 GenAI Drives ROI: Why 85% of teams are expanding their AI adoption this year.

• 📈 From Campaigns to Compounding: Reinventing the role of agencies for modern growth.

• 🎙️ Podcast: How to unlock the power of CTV Advertising, with ft. Arthur Querou.

• 🚨 Tool Spotlight: Zapier Central, an AI-powered automation platform.

• 🛠️ Weekly AI tools that will save you hours every week.

Takeaway: Adobe's Firefly Boards signals the end of slow, costly video production. Marketers must now adopt a high-velocity, iterative approach to video content to remain competitive.

🎶 OpenAI to Launch TikTok-like Social App for AI Videos

OpenAI is reportedly developing a new, TikTok-style social media application dedicated to short-form, AI-generated videos. The app is rumored to feature a continuous feed of videos created by its users using OpenAI's generative models. Crucially, the platform is expected to employ an "opt-out" copyright approach, meaning content creators can submit works for training its models unless they specifically object.

Why it matters:

• New Discovery Engine: A dedicated AI video social app could become a major new channel for content discovery, forcing brands to master short-form, generative content creation.

• The Copyright Quagmire: The opt-out copyright approach creates a significant legal and ethical challenge for brands, requiring vigilance around the sourcing and licensing of AI-generated assets.

• Democratized Video Creation: By making high-quality video generation accessible to all users, the platform lowers the barrier to entry for video content, prioritizing ideas and narrative over production budget.

Hook Tip: Begin experimenting with text-to-video tools to understand the creative constraints and opportunities. Focus on creating short, impactful narratives that rely on compelling storytelling, as high-end production will soon be a commodity.

Takeaway: OpenAI's venture into social media underscores that AI-generated video is the next frontier. The biggest competitive advantage will be the ability to create timely, hyper-relevant content at a massive scale, not budget.

Takeaway: The debate over AI adoption is over. The focus now is on how fast and how effectively teams can scale their AI capabilities to capture compounding efficiency and ROI.

📈 From Campaigns To Compounding: Reinventing The Role Of Agencies

The traditional agency model, focused on running one-off, time-bound campaigns, is being challenged by the speed and efficiency of AI and in-house marketing teams. The future for agencies lies in reinventing their role to become growth partners that build compounding systems for their clients. This involves shifting from delivering final creative assets to developing automated workflows, data systems, and generative AI models that allow a client's marketing engine to continually improve on its own.

Why it matters:

• Sustainable Growth: Compounding systems (like a personalized email flow or a dynamic content engine) deliver sustained value over time, unlike single campaigns that generate a temporary spike.

• Strategic Partnership: This model moves the agency from a vendor of creative services to a strategic consultant focused on technology, data architecture, and long-term business outcomes.

• Value Beyond Volume: In a world where AI can generate content volume, the agency's unique value becomes its expertise in building the systems that effectively deploy and measure that content.

Hook tip: For your next client pitch, propose a project that is a system build, not a campaign. For example, instead of a "Spring Sales Campaign," pitch the "Personalized Conversion Rate Optimization System" that uses AI to continuously test and refine landing page content based on traffic source.

Takeaway:  Agencies must evolve from delivering creative output to building infrastructure that enables compounding growth, cementing their role as indispensable, long-term partners.

🧰 Framework of the Week: The P.A.C.E. Model for Prioritization

The P.A.C.E. Model is a simple but powerful framework used by high-growth companies to prioritize tasks and projects based on their business impact and resource allocation.

1. P - Project: A critical, high-impact initiative with a defined start and end date. Example: Launching a new AI personalization engine.

2. A - Activity: Routine, ongoing work necessary for the business to function. Example: Managing daily social media posts or running existing ad campaigns.

3. C - Constraint: Any dependency, roadblock, or resource limitation that must be addressed before work can proceed. Example: Waiting for legal approval on new terms or needing a specific integration built.

4. E - Experiment: A high-risk/high-reward task with a low resource cost, designed to validate or invalidate a hypothesis quickly. Example: A small A/B test on a new headline generated by a large language model (LLM).

Try this: At your next team meeting, categorize all of your current Q4 tasks using the P.A.C.E. labels. This will immediately reveal if your team is spending too much time on routine "Activities" and not enough on high-leverage "Projects" and learning "Experiments.".

🛠️ Featured AI Toolkit for the week

Influencity

What it does:
Influencity is an influencer marketing platform that helps brands and agencies discover, analyze, and manage influencer partnerships at scale. It provides detailed insights into influencer audiences, campaign forecasting, ROI measurement, and end-to-end relationship management. By centralizing workflows and analytics, it removes guesswork and ensures brands work with the right creators for maximum impact.

Fast payoff:
Sign up, import your campaign goals, and start discovering influencers that match your target audience. Within days, you can shortlist high-performing creators, predict campaign outcomes, and launch collaborations with greater confidence and efficiency.

Braze

What it does:
Braze’s Decisioning Studio uses AI to orchestrate personalized customer journeys in real time. It lets brands combine data from multiple channels, segment audiences with precision, and deliver the right message at the right moment. With its AI-powered optimization, teams can test, adapt, and refine engagement strategies dynamically, without relying heavily on engineering resources.

Fast payoff:
Connect your customer data, build your first personalized journey, and launch targeted campaigns. In just a few days, you’ll see improved engagement metrics as customers start receiving messages tailored to their behaviors and preferences, driving faster conversions.

Frase

What it does:
Frase is an AI-powered content research and optimization tool that streamlines how teams create SEO-friendly content. It analyzes search intent, generates briefs, and suggests improvements to existing articles so that content ranks higher on Google. With built-in AI writing assistance, it accelerates content production while maintaining quality and relevance.

Fast payoff:
Create an account, enter your target keyword, and generate a content brief instantly. Within hours, you can draft optimized content guided by competitor analysis and search intent insights, boosting your chances of ranking on the first page quickly.