Nic Silver

Most people think sounding authentic is about getting AI to sound like them.

But in reality it involves decoding why you sound the way you do. What's behind the words. The words are merly placeholders or symbols for the underlying message.

If you don't know the underlying architecture of your voice, then it will come off as hollow.

Consistency is important, but if you consistently push mediocre content down someone's throat they will eventually grow tired of your brand.

If your message isn't clear people will not know what you are about, tune out and eventually you'll drown in the noise of other brands using the same strategy.

Focus on building a stronger brand instead of an efficient content strategy first.

Depth can only come from clarity, something that can never be outsourced to AI or solved with prompt engineering.

Human behaviour remain consistent.

AI development is volitile and unpredictable.

At this point it doesn't makes sense to future-proof for what technology will look like in a few years.

All we can do is work with what we have right now.

Instead we should future-proof our audience and build brand trust and loyalty. This we know will be the same in 2

The content creation part that most people focus on is actually just window dressing for the underlying meat, the idea.

AI automation comes in to help us with the former part. It's up to us to create something real. It's this "real" WE want to focus on.

There's inherently nothing wrong with AI automation, in fact its an awesome tool that helps us

AI has created a new problem.

It has introduced something called AI burnout.

This is when AI is causing more problems than it fixes due to sloppy implementation.

Not only that, when AI actually works it introduces a new problem, more work.

Parkinson's law states that work expands so as to fill the time available for its completion.

So if AI solves

AI's use amplifies existing clarity issues in thinking, it doesn't create them. The tool's predictive fluency requires clear frameworks and well-defined rules of engagement to be effective, moving beyond shallow prompting.

AI as a productivity tool alone is not enough to differentiate.

Everyone can create an AI automation in minutes now.

The true differentiator is using AI as a differentiator and quality improvement tool.

You want to not only capture the productivity gains from AI, that's the least interesting aspect.

You also want to focus on scaling WHILE improving