It's a mistake to believe that #AI delivers any real efficiency. At least, I hav
By Mikeblack · April 27, 2026 · Curated by George's Blog
It's a mistake to believe that #AI delivers any real efficiency.
At least, I haven't seen the math yet to believe so.
All of the AI tools I have been testing in sales & marketing cost a lot of money per month and you quickly burn through credits, so you have to buy more.
Then times that by all the seats you have to buy so the AI technology doesn't become bottle necked with a few people.
And the AI outputs (especially on creative things like video) are so far from good enough that you have to keep regenerating, using more credits.
And it actually takes you probably 2-3X more time personally to get the creative good enough than if you gave it to a professional.
So I am trying to figure what's the financial analysis being done by CEOs to factor out the scale cost of AI software licensing and credits + the human inefficiency cost of AI models that just aren't quite there yet.
Another problem, too:
AI models and tools keep changing and getting better, so if you lock into one model, it can quickly fall behind enhancements in other models. Yet, you already invested so much training the models you have.
Who's job is it to vet all the tools, select the best and ensure they are being used consistently and effectively?
What's the cost of employees having to navigate many point-solution tools vs having fewer tools that do more?
Also, what's the economic incentive for employees to learn AI if it initially requires them to do more work that would normally be delegated or handled by someone else? You're basically downsizing with replacing people, so should people be getting paid more?
I'd like to see financial assumptions executives are using to project efficiency gains from AI and if all those assumptions add up and how they they tie back into employee incentives so efficiency gains are shared.
I'm not crapping on AI (Believe me, I am thankful for it).
I'm just curious about the math -- and a little nervous that AI companies will consolidate all the wealth while many others will be working more for not much more and many others working not at all.