Why There’s No Need To Worry About AI Replacing Human Talent
Master Prompt Engineering. And You Will Be Good.
The rise of AI has terrified a lot of human talent.
It’s sparked intense debates around whether machines will entirely replace people, leaving many in anxiety.
Meanwhile, social media is awash with entrepreneurs (usually aspiring start-uppers) boasting about how they saved fortunes by cutting costs on designers, content creators, marketers, and more.
Don’t buy into that rhetoric!
As someone who works with content and art AI generators daily, let me break down why you should ignore this nonsense and what extra skill you need to master to turn AI into your ultimate ally.
[I’ve already mentioned this skill in the subhead].
Here we go.
It’s not about AI
It’s about people with a “plugin-and-play” mentality.
It’s about those who are constantly on the lookout for lifehacks, magic pills, and cheap conveyor-type solutions.
Let’s take marketers as an example.
My jaw drops each time I see many of them bragging about how effortlessly and cheaply they can now pollute the web with 100500 articles daily. 🤯🤯🤯
Fuel AI with your focus keyword, and BOOM! A horde of SEO-friendly blog posts, ready to conquer Google’s first page.
No writer is needed. No extra cost. Sounds fantastic?
Out of interest, I’ve skimmed through some of such blog posts.
Guess what?
My eyes were bleeding when I tried to read them. 🤦♀️
That was well-structured, SEO-optimized, but bloodily boring generic FLUFF that could only turn off a reader and make them perceive the brand as cliched and inauthentic.
Perhaps, it really could hit the first page of Google. So what?
If content doesn’t engage, let alone convert, it is nothing more than a monkey job.
If you happen to work with such people, there’s a great chance they will let AI replace you. And then, they will replace that AI with another cheaper AI, and so on. Usually, that type of folks doesn’t even have a framework for how to assess the quality of your work. This is why everything ‘easy-peasy-cheap’ looks so seductive to them.
Will you really regret it if one day they tell you ‘goodbye’?
Without an expert’s guidance, AI is just a generator of randomness (at least, for now)
If you’re using AI for fun and aren’t overly concerned with the quality of the output, then you probably don’t need an expert.
However, if you intend to obtain high-quality, professional, and dependable results to use them further in business, it’s often necessary to involve an industry expert.
For example, in radiology, AI could assist with analyzing X-ray images and identifying potential abnormalities. But, without the guidance of a radiologist and their quality check of the outputs, the accuracy and reliability of the AI’s findings may be in doubt.
In digital art, an AI tool can create a good-looking image randomly. However, it doesn’t understand the intricacies of color theory, composition, and emotional expression. Without a professional human artist supervising it, the results may look unskilled and stray far from what was intended.
Not to mention what AI sometimes does to human faces and body parts.
Look at some outputs I made on Midjourney when I was trying to create a multi-handed photographer in the midst of multitasking.
Mr. Workoholic… 🤪
And a furious Сyclops with a hand growing out of his head…
Now let’s remember those “innovative” lean start-uppers shouting that they will easily replace their digital creative employees with AI.
That’s approximately what they will get instead.
Good luck, tho.🤞
Master prompt engineering to stay ahead of the curve
Prompt engineering is the love language of AI.
It’s the art of communicating with AI models and guiding them to generate the exact result you want.
If you’ve ever played with ChatGPT, then you’re already halfway to becoming a prompt engineer.
Let’s break down what prompt engineering essentially is
In layman’s terms, prompt engineering is a technique used to fine-tune AI models (such as, for example, GPT-3 or Midjourneys’ Vs) by providing specific prompts (inputs) to a model to generate more accurate and relevant outputs.
As I mentioned earlier, any AI tool by default is a random results generator. And if you want it to deliver you something specific, you need to know how to take control over its outputs.
This is where prompt engineering comes into place.
Essentially, it implies knowledge of how to formulate commands (i.e. prompts) for a particular AI tool so that it will understand you right.
Let me give you some visual sense of how it works in the example with Midjourney.
Let’s say I have a goal to get a vintage image of a short-haired blonde lady working on her laptop on a beach while sipping her mojito.
First, I would give the machine a prompt in the way how I feel.
Amateur prompt
/imagine a vintage image of a blonde short-haired lady, working on her laptop on a beach, while sipping her mojito
So I just wrote it relying on my intuition.
The result?
A random pic that AI thinks will work well for me.
Looks nice but has nothing to do with what I had in mind.
Now let’s go the other way, i.e. respecting the rules of Midjourney prompting.
Right prompt
/imagine A vintage and retro-style illustration featuring a blonde female writer with short hair, reminiscent of Marilyn Monroe, typing away on her laptop while sitting on the beach in a red swimsuit. She is wearing dark sunglasses and sipping on a cocktail while seemingly enjoying a productive work session with the beautiful ocean as her backdrop. Use this image to inspire a narrative that captures the essence of a person who is able to balance work and pleasure effortlessly. — ar 1:1 — v 4 — seed 55
Here we go!
This time, it was not the AI model to randomly decide what result I needed. That was me.
So the whole point of this exercise was to show that this tiny skill (i.e. prompting) makes a huge difference when it comes to leveraging AI to any domain you work with.
Once you’ve mastered it, you’re in the driver’s seat on this whole AI revolution journey.
Prompt engineering is not as difficult as it sounds
Don’t be discouraged by the word “engineering” here.
In fact, it’s far from being anything complicated and technical.
All you need to do is to dig into a prompt guide of a particular AI platform you want to work on, at least once, and follow its updates. They happen way too often.
And, of course, practice, practice, practice.
That’s pretty much it.
Keep in mind
- Every AI tool has its own specific prompt language. What works with ChatGPT, may not apply on Midjourney (or any other platform).
- If you use ChatGPT to assist you in creating prompts for other platforms, please bear in mind that currently, it can only help with the text component of a prompt and does not address arguments, values, or other parameters.
Why now?
The rise of AI in many aspects is similar to the crypto boom, with its rapid growth, hype, and increasing complexity.
Remember how crypto started in 2009? And many who attempt to jump into this space now feel overwhelmed and paralyzed by its complexity.
The same will happen with AI.
Start learning and playing with it NOW.
Get its steering wheel in your hands NOW.
Make it your strongest ally at work.
This is your surefire ticket to thriving in the Digital Age 💪.
Hey! Wanna chat about prompt engineering? Drop me a message on LinkedIn
