“I am looking for a lot of people who have an infinite capacity to not know what can’t be done.”

—Henry Ford, Founder of Ford Motor Company

AI is getting increasingly good at the parts of work people would happily never do again.

Answering the same question for the 400th time. Cleaning up notes. Drafting routine responses. Moving information between systems.

Those reclaimed hours can go toward better customer conversations, more coaching, stronger follow-up, or even entirely new revenue streams.

Planable recently pitted humans and AI against each other with seven separate Instagram accounts for a fictional chocolate brand.

Though the AI accounts took roughly a third of the human time to operate, humans still generated 2.45x the engagement, 44x the comments, and 84% more followers per account.

That gap showed up where people actually had to be social. Humans replied, joined conversations, noticed opportunities, and adjusted when something felt off.

IKEA took the same basic idea into customer service. Its Billie chatbot absorbed a large share of routine questions, so thousands of employees moved into work like personalized interior design services. The result was a new line of business worth about $1.7B in revenue.

Everyone’s already pretty used to Gemini's little diamond and the occasional visible AI stamp on generated video, but Claude is going much more incognito with its latest watermarking play.

Anthropic is now embedding an invisible statistical pattern into Claude-generated text by subtly influencing its word choices. Readers will not see a badge, hidden characters, or label, but the pattern can be checked later with the right detection key.

Of course, Anthropic isn't the only company stealthily adding watermarks to their AI-generated content.

Google already uses SynthID to embed invisible signals in Gemini-generated text, images, audio, and video. Claude's new text watermark actually uses a version of that same SynthID-Text approach.

OpenAI also uses invisible provenance signals on supported images and audio, while Meta combines behind-the-scenes markers with more visible AI labels across its platforms.

So, even when there is no obvious badge or logo, AI content can still be carrying a quiet little receipt in the background.

Most dealerships have plenty of work that could be automated. The trick is figuring out what is worth handing off first.

This prompt helps rank the best opportunities, checks whether tools already in the store can do the job, and builds a simple test to see whether AI is actually giving the team useful time back.

Being a top car seller today doesn’t guarantee you’ll stay there. Andrea knew she could sell. The question was how to create more demand without waiting on the store.

Andrea has consistently ranked among Cadillac’s top sales professionals. But even with strong numbers, she understood something every dealer should be thinking about: the same activities producing results right now may eventually hit a ceiling.

So she asked herself a simple question: What’s the next move?

For dealers asking where the next layer of traffic, demand, and salesperson productivity will come from, this conversation offers a real-world example from someone doing it inside the store.

Thanks for reading, Friend! Remember: good teamwork can keep a messy system moving; great teamwork eventually repairs it.