Just because you CAN do something with AI doesn’t mean you SHOULD.
Don’t throw out the baby with the bathwater.
Don’t get rid of a perfectly fine workflow just to save a few bucks.
For example, people proclaim they now use AI to generate their own graphics so they’ve stopped buying stock photos.
Is that really a big deal for your business?
I routinely buy stock photos from bigstockphoto.com (not an affiliate link) for $2 or $3 each.
So two or three stock photos for a blog post like this cost me less than $10.
That means if you use AI to generate your own photos, you can save $10 per post.
Now say you do three posts a week. That’s 150 posts a year.
If you save $10 per post, that adds up to an annual savings of $1,500.
That’s not a game-changer. In fact, that’s probably less than a year’s worth of your Monday morning runs to Starbucks.
This is not 10Xing your output
This is playing around with AI. And that’s fine.
But don’t call it “saving a fortune on over-priced stock photos.”
Tip: Brainstorm many possible use cases for AI, then tackle the most important ones first.
Here’s a more strategic example
What about generating five ideas for blog posts you can then compile to create a white paper?
How about outlining all five posts?
And then generating a first draft of all five?
What about polishing all five posts, and finally assembling them all into a white paper?
That sounds like a week’s work, you say.
How about using AI to do all that in half a day?
Check out the table to see how.
|Editorial Task||No AI||With AI|
|Brainstorming 5 posts||1 hour||10 minutes|
|Outlining 5 posts||2 hours||10 minutes|
|Drafting 5 posts||10 to 40 hours||30 minutes|
|Polishing 5 posts||5 hours||1 hour|
|Compiling 5 posts into white paper||2 hours||10 minutes|
|Total time||20 to 50 hours||2 hours|
And this is not some pipe dream.
This is what people are doing today with AI.
The point is clear. The smart move is to use AI where it pays off big-time.
Forget the nickel-and-dime stuff.
Use AI to 10X your productivity where it really counts.
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