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Disney Embeds AI, L’Oréal's AI to Scale Ad Creative + AI from Cloud to Edge?

Plus we share how to automate daily executive summary

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AI HUSTLE | January 8, 2026

Welcome to AI Hustle, the newsletter that skips the hype and gives you AI-powered workflows you can actually use. This week, we're focused on moving AI from a side project into the core of your operations. We'll start with a simple hustle to automate your daily executive summary, saving you from "dashboard hopping." Then, we'll look at how giants like Disney, L'Oréal, and Arm are embedding AI into their DNA—not for flashy demos, but for real-world efficiency, scale, and competitive advantage. Let's get to it.

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The Hustle: The 60-Second CEO: Automate Your Daily Pulse

The Goal: Stay informed with a high-level business summary delivered to you every morning, without checking 10 different dashboards.

The Tools:

  • Your data sources (e.g., Shopify, Google Ads, Zendesk)

  • An automation platform (e.g., Zapier, Make.com)

  • Slack

Step 1: Connect Your Data (The Input)

The first step is to give your automation platform access to your key business metrics. In your chosen tool (like Zapier), create a new workflow and connect the apps you rely on for daily numbers. Authenticate your accounts for Shopify to pull sales data, Google Ads for ad spend and performance, and Zendesk for customer ticket volume. This gives the AI the raw materials it needs to work with.

Step 2: Set the Schedule (The Trigger)

This entire hustle runs on a simple, reliable trigger: time. Set your workflow to run at a specific time each day, like 8:00 AM. This "Schedule" trigger ensures you get your daily pulse at the same time every morning, creating a consistent and predictable routine for staying on top of your business.

Step 3: Summarize with AI (The AI/Logic)

This is where the magic happens. Add an AI action step to your workflow (e.g., "Conversation with OpenAI"). Feed the data pulled in Step 1 into the AI prompt. Your prompt should instruct the AI to act as a business analyst and provide a concise summary.

Example Prompt: "You are a business analyst. Review today's data: Shopify Sales: [Insert Sales Data], Google Ads Spend: [Insert Ad Spend Data], Zendesk Tickets: [Insert Ticket Volume]. Compare these numbers to the same day last week. Provide a 3-bullet point summary highlighting the most important changes and any urgent items. Be brief and direct."

Step 4: Deliver the Briefing (The Output)

The final step is to send the AI-generated summary where you'll actually see it. Add a "Send Channel Message" action for Slack. Configure it to send the output from the AI step directly to your personal Slack channel or a leadership channel. Now, every morning at 8:00 AM, you'll receive a perfect, concise summary of your business's health.

Why This Hustle Works:

  • Saves Time: It eliminates at least 30 minutes of daily "dashboard hopping" and manual data comparison.

  • Forces Focus: By surfacing the most critical metrics first thing, it directs your attention to what actually matters for the day.

  • Creates Consistency: It builds a data-driven morning routine for you and your leadership team, ensuring everyone starts the day on the same page.

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🚀 The AI Pulse: 3 Signals to Watch This Week

Disney Embeds AI Into Its Core Operations

Disney has struck a major deal with OpenAI, moving AI from a side experiment to a core part of its operating system. The agreement makes Disney both an enterprise customer and a licensing partner. OpenAI's video model, Sora, will be trained on a defined set of Disney IP for generating short-form content under strict controls. Internally, Disney will use OpenAI APIs to build new tools and customer experiences (like for Disney+) and deploy ChatGPT for employees. The key is that AI is being woven directly into existing workflows, not siloed in a separate sandbox.

The Hustle Take: Stop treating AI as a special project. The biggest wins come from integrating AI APIs directly into your core business processes to reduce friction and cost. Follow Disney's playbook: identify high-volume tasks (like content variation), apply AI within governed constraints, and use APIs to make your existing tools smarter, not just add another tool to the pile.

L’Oréal Uses AI to Scale Ad Creative, Cautiously

Global beauty giant L'Oréal is using AI-powered creative tools to accelerate digital advertising production. The goal isn't to replace human creativity but to help teams produce the high volume of content needed for social media and e-commerce. AI is used for tasks like adapting video for different formats or creating visual variations, all under the close supervision of human teams who maintain final creative control. This allows L'Oréal to scale content output without scaling production costs or brand risk.

The Hustle Take: This is the blueprint for safely using creative AI. Start with low-risk, high-volume production tasks—resizing assets, creating variations of approved campaigns, or polishing raw footage. Use AI as a production assistant to boost efficiency and lower the cost per asset, while keeping your human team in charge of brand strategy and final approval.

Arm Bets on AI Moving From the Cloud to the Edge

Arm, the company whose designs power billions of chips, sees the next wave of AI moving from centralized cloud data centers to "edge" devices like phones, cars, and factory sensors. In a recent interview, an Arm executive explained that running AI locally offers huge advantages: lower latency for real-time responses, enhanced data privacy since sensitive information isn't sent to the cloud, and greater energy efficiency. This shift could enable truly intelligent, context-aware devices that don't rely on a constant internet connection.

The Hustle Take: Start thinking about what becomes possible for your business if AI could run directly on your hardware. For logistics, it could mean real-time route optimization on a device in the truck. For retail, it could be instant customer analytics from a sensor in the store. The move to edge AI unlocks applications that are too slow, too expensive, or too sensitive for the cloud, creating a new frontier for operational efficiency.