Even AI has its off days. Here are some hilarious AI fails and what they teach us.

• Fail: AI that recommended pineapples as a cure for insomnia.
  Why: Someone fed it a diet blog for training.
  Lesson: Choose your data sources wisely. Pineapples won’t tuck you in at night.
• Fail: A chatbot that mistook angry customers for job applicants.
  Why: It was trained on HR data and didn’t know how to spot rage.
  Lesson: Teach your AI some emotional intelligence!
• Fail: Einstein Vision identifying a cat as “a bowl of spaghetti.”
  Why: Too many Instagram food pics in the training set.
  Lesson: If you want your AI to recognize pets, don’t let it binge food content.

Remember: AI can fail spectacularly, but it’s all part of the learning process—especially for the humans!

AI might feel like the future, but it has a long and quirky history worth exploring.

• 1956: AI was officially born at the Dartmouth Conference. Back then, “machine learning” was just a fancy way of saying “can it solve math problems?”
• 1980s: “Expert Systems” were the rage. Essentially, they were like today’s chatbots, but slower and less charming.
• 1997: IBM’s Deep Blue beat chess champion Garry Kasparov, proving AI can ruin game night.
• 2010s: Neural networks and deep learning exploded, giving us everything from self-driving cars to eerily accurate Netflix recommendations.
• Today: AI products like Salesforce’s Einstein can predict outcomes, read images, and write better marketing emails than your intern.

AI isn’t just a tool—it’s a journey. Where do you think it’s going next?

Here’s a sneak peek at what happens when a Manager meets their Salesforce AI Admin to plan Einstein upgrades.

Manager: "Our customer retention numbers are down. Can Einstein help with this?"

AI Admin: "Absolutely. We can use Prediction Builder to identify customers likely to churn."

Manager: "Great! What do we do with that info?"

AI Admin: "Einstein Next Best Action can suggest offers or follow-ups to keep them engaged."

Manager: "Sounds good. How long will this take?"

AI Admin: "Not long. Since it’s no-code, I can set it up in a few days. Just have to brush up on the Salesforce documentation on implementation."

Manager: "Nice. What about all the customer feedback we’ve been sitting on?"

AI Admin: "We can use Einstein Language to analyze sentiment and intent. We’ll know what they’re mad about—or happy about—in seconds. Again, just need to take a look at it."

Manager: "Perfect. Let’s roll it out. Anything else I should know?"

AI Admin: "Just make sure we train the team on using these insights. Einstein AI features can do the heavy lifting, but the humans still close the deals."

Manager: "Got it. Thanks!"

AI Admin: "Anytime. Back to sleep now. I stayed up all night building an Agent that's going to take over your job soon. I'll be reporting directly to the CEO and managing the Agentforce..."
        

Collaboration between humans and AI—it’s how the magic happens!