Human pizza makers beware… AI robots are coming for your job.
Pizzaiola – an AI-driven, pizza-making robot – is serving up slices to customers at a pizza chain in Chicago.
When you place an order, Pizzaiola takes care of everything…
… it selects, presses and stretches the dough…
… it adds the sauce, cheese and toppings of your choice, and…
… it cooks, slices and even boxes up your pizza.
All without human intervention. All cooked to your exact specifications.
(At least for now…
Let’s just hope Meta doesn’t buy Pizzaiola. If that happened, Zuck would probably change Pizzaiola’s algorithm to serve up a pizza with the toppings it decides you should have based on all the data it creepily knows about you.
And if you didn’t like it, the robot would then chase you down the street until it shoved the pizza down your throat.
Anyways, where were we? Ah, yes, the original non-Zuckerized Pizzaiola…)
Pizzaiola is not alone. It has a few AI-driven cooking cousins capable of whipping up 1000s of dishes.
Some cook up pre-programmed recipes.
Some can be given a list of ingredients that they then use to invent new culinary delights.
Some can use data – either by actually “tasting” the food and/or from customer feedback – to improve the future meals they prepare.
Oh, and if you’re like me and struggle to make toast, there’s even a robotic kitchen available to handle all your home cooking for you. I have no idea how much it costs, but I’m sure it’s one of those things where if you have to ask…
Consistency Is Key
High price tags aside, this all sounds pretty incredible.
One big selling point of these AI chefs is consistency.
They’re just not subject to the “happy accidents” human chefs (or other food workers) make that can affect the end result.
With AI chef robots, you know exactly what you’re going to get every time.
But there is a way to sabotage their results and spoil the finished product an AI chef cooks up.
It all comes down to ingredients.
Consistency won’t matter if you give an AI chef crappy, spoiled, expired, and/or low-quality ingredients to work with. The end result is gonna be crap.
This same principle is at work when you use AI-driven algorithms and machine learning in your marketing campaigns.
As powerful as these algorithms can be at driving results, if the marketing “ingredients” you put into your campaigns are garbage, AI ain’t gonna help you.
It is NOT a miracle worker.
Standing Out From The Crowd
As machine learning becomes more deeply rooted in the marketing world, the ingredients you feed into your ML campaigns take on even greater importance.
Because if the machines are doing their thing and running your campaigns – as well as the campaigns of all your competitors – how do you stand out from the crowd?
For the answer, let’s go back to the AI pizza makers for a moment and ask the same question…
… if all the pizza joints in town start using AI chefs that make pizza the same way every time, how does one pizza shop serve up slices that stand out from the competition?
They do it by giving their AI robot the absolute best sauce, cheese, etc., to work with.
Better ingredients. Better pizza. (Hey, some pizza chain should use that as their slogan 😉
Same applies when you’re trying to outperform your competitors in the AI-driven marketing world.
But instead of cheese, sauce and toppings, the key ingredients to focus on for your marketing campaigns are:
- Your offer
- Your story
- Your pricing (which doesn’t mean having the lowest price, by the way)
- Your backend and follow-up sequence
Bottom line here, even in an AI-driven world that leads to more consistency, there are still things you can – and should – control in your marketing.
The more time and attention you put into the things you still can control, the more you’ll stand out from the competition… and the better your results will be.