AI Business News: Adobe’s Marketing Play, HeyGen Avatars, and Copyright Realities
Dear Friend,
We spent our latest Applied AI session digging into video basics, and I want to share a hard truth: video content is no longer optional if you care about SEO. Search engines value it far more than standard text.
During the workshop, we rolled up our sleeves and tested tools that are easy to use and save tons of time. We used Opus Clip to instantly cut recorded sessions into short clips, automatically stripping out filler words and adding B-roll. We also looked at HeyGen for enterprise needs, like building consistent digital avatars and managing multi-language translations.
As we look at the broader market this week, we are seeing a massive gap between the companies treating AI as a shiny novelty and the ones embedding it deeply into their operations, marketing, and research. Let’s have a look…
This Week’s Stories
Adobe Makes Its Biggest Play Yet For Marketing’s AI Future
Adobe is aggressively integrating generative AI across its entire marketing suite, moving beyond simple image generation to orchestrating full campaigns. They are embedding these tools directly into enterprise workflows, allowing marketers to generate, edit, and deploy assets at scale. The goal is to make AI a seamless part of the daily marketing operations rather than a separate novelty application.
My Take: This is exactly what I mean when I say businesses need workflows, not just generative AI. Adobe understands that marketers do not want another separate app to log into; they want the tools they already use to work harder and faster. If you run a marketing team, pay attention to how your current stack is evolving before buying something new. We use Jasper to generate images and copy and we’ve been waiting for Adobe to catch up.
MIT Brings AI-Driven Protein Design Tools Everywhere
Researchers at MIT have open-sourced a powerful new suite of AI tools designed to accelerate protein design for healthcare and biotech. By making these advanced models accessible to a broader range of scientists, they dramatically reduce the time and cost required to develop new therapeutics (aka custom drugs, designer drugs). This levels the playing field, allowing smaller labs to compete directly with massive pharmaceutical companies in drug discovery.
My Take: Innovation thrives on access. We often talk about AI leveling the playing field for small businesses in marketing or operations, and seeing it happen in life-saving medical research is profound. This shift will likely spark a massive wave of biotech startups that previously could never have afforded entry costs.
How Prime and a Smarter Alexa Are Giving Amazon an AI Shopping Edge
Amazon is leveraging a significantly smarter, AI-powered Alexa to streamline the buying process for Prime members. The upgraded voice assistant can now handle complex, multi-step shopping queries, compare products, and make highly personalized recommendations based on purchase history. This creates a deeply integrated, frictionless shopping ecosystem that competitors will struggle to match.
My Take: Customer expectations are shifting rapidly. When Amazon makes buying this easy, your customers will start wondering why your checkout process takes five clicks and a form submission. The takeaway here is not that you need a voice assistant, but that removing friction from the customer journey is the ultimate competitive advantage.
The U.S. Government Challenges State AI Laws
The Department of Justice has officially launched a task force aimed at challenging various state-level AI regulations in federal court. Driven by a recent Executive Order designed to maintain national AI dominance, the task force argues that a patchwork of state laws creates unconstitutional burdens on interstate commerce. This marks a significant escalation in the battle over who actually controls AI governance in the United States.
My Take: This is a massive compliance headache waiting to happen. For business owners, a fragmented legal landscape means you could be operating perfectly legally in one state and facing fines in another. Until the federal government and the states sort out this turf war, companies must be extremely cautious about how they deploy AI across state lines.
Tracking the Explosion of AI Copyright Lawsuits
A newly launched database called the AI Copyright Case Tracker has documented over 130 global legal actions against AI firms. The interactive tool highlights a growing wave of litigation, with the majority of cases originating in the United States, focusing heavily on the unauthorized use of copyrighted materials to train generative models. Courts are now actively wrestling with where to draw the line between fair use and outright theft.
My Take: Careless AI use has real consequences. While the tech giants fight these battles in court, smaller businesses need to be smart about what tools they use and what data they feed them. Do not build your core business operations on generated content that might be deemed copyright infringement next year.
Tool Picks of the Week
- ClickUp: Cloud-based, AI-powered, all-in-one productivity and project management platform designed to replace multiple work apps by centralizing tasks, documents, chat, time tracking, and goals.
- Pictory.ai: A highly visual, simple platform for generating videos. It is incredibly useful for turning a simple blog post URL into a social media video with minimal effort, allowing your team to move faster and stay visible.
- Voice Instructions Creator: Analyzes your writing voice and provides clear voice instructions to be used for AI agents.
When Should You NOT Use AI? A Practical Guide for Business Leaders
Knowing when to avoid AI is just as critical as knowing when to adopt it, because misapplied use cases are the primary reason AI implementations fail. AI models produce highly unreliable outputs in high-stakes, emotionally complex, or strictly regulated situations, such as medical diagnoses, legal judgments, and crisis communications. Applying AI to a broken workflow or feeding it poor quality data simply accelerates the production of incorrect answers. For simple, low-volume tasks, a basic spreadsheet or rules-based system will cost less and run faster than a complex AI solution.
Read the full article
Google Labs 🧪
🚀 How to Get Started With CC in Google Labs
Google CC is an experimental AI productivity agent launched by Google Labs in mid-December 2025. Unlike other chatbots, CC lives entirely inside your Gmail inbox, connecting your Gmail, Google Calendar, and Google Drive to act as your proactive executive assistant.
*It’s only available for personal accounts at this time.
Step 1: Getting Access
Here is how to ensure you are eligible to get in line:
- Use a Personal Account: You need a standard consumer Gmail account. Note: Google Workspace (business) accounts are not supported yet.
- Sign Up: Go to labs.google/cc and join the waitlist.
- Boost Your Chances (Optional): Google prioritizes users who pay for Google AI Ultra or other paid Google subscriptions, but anyone can join the waitlist for free.
Step 2: Utilizing “Your Day Ahead”
Once you have access, you don’t need to open a separate app. Every morning, CC will proactively send you an email titled Your Day Ahead. This is a complete briefing of your entire day.
- Meeting Prep: CC doesn’t just list your meetings. If you have a 10:00 AM client call, it pulls up your last email thread with them, drafts any necessary replies, and provides direct calendar links so you can jump into the call.
- Deadline Tracking: It flags upcoming project due dates and unresolved emails you need to reply to.
- Task Management: It reviews the tasks you’ve given it and reminds you of what needs to be done.
- Web Context: CC pulls real-time information from the web. If you have an outdoor meeting, it checks the weather; if you have a flight, it checks the status.
Step 3: Chatting with Your AI Assistant
You communicate with CC exactly like you would a human assistant—via email. Nobody else sees these conversations; they are completely private.
Method A: Reply to the Briefing
Simply hit reply to your “Your Day Ahead” email.
- Give feedback (Thumbs up/down).
- Add things to your schedule.
- Tell CC your working preferences so it can learn and adapt.
Method B: Email CC Directly
You can reach out to CC at any time of the day by sending an email to your own username with +cc added.
Command Examples:
- “Add a to-do: Finish webinar slides by Friday.”
- “Remind me to send webinar reminder emails 2 days before the event.”
Step 4: Advanced Workflows
Once you are comfortable with the basics, you can use CC to automate repetitive tasks:
- Thread Summaries: Forward a massive, 50-email chain to CC and type, “Summarize this.” It will return the key points in seconds.
- Email Drafting: When you are too busy to reply to a complex question, forward it to CC and ask it to suggest a reply. You can then review, edit, and send it yourself.
- Bill Reminders: Let CC scan your inbox for upcoming invoices and automatically flag them before they are due. *I set this one up – it’s super handy!
Join the Conversation
Got a burning question, a fresh take, or just want to share your latest AI wins? Hit us up at [email protected]. Your insights keep this community growing and thriving!
See you in the Lab,
-Nicole A. Donnelly
Founder, AI Smart Ventures
AI Strategy – AI Training – AI Consulting – AI Implementation
