At the end of 2023, there’s a growing gap between people using AI and those who are not.
I believe this gap will widen in 2024, not necessarily between users and non-users of ChatGPT, but between people who are leveraging AI agents and those who aren’t.
🧵 AI is going to nuke the bottom third of performers in jobs done on computers — even creative ones — in the next 24 months
White collar salaries are going to plummet to the average of the global work force & the speed at which the top performers can write prompts
— @jason (@Jason) April 15, 2023
AI agents, like ChatGPT and its custom chatbots, are LLM-based apps that can perform specific tasks. They:
- Have access to certain tools, like web browsing, an API, or an executable code environment
- Are designed to focus on specific tasks
- Can, like humans, work together as a “team”
For instance, I currently have a few custom ChatGPT bots that I use to:
- Analyze and perform basic data analysis on SEO keywords
- Do web research
- Brainstorm
- Draft out blog outlines and article content
- Proofread and copyedit spoken content
- Convert content into different social media formats
I’m also adding Midjourney into my workflow and, sometime in 2024, I expect to add Runway ML, Pika, or another video-generation AI app. We’ve also got audio-generation, translation, and website chatbots to throw into the mix.
Very soon, I expect to have a workflow down that lets me generate 10x as much content, across more channels, with less effort.
In the same way that apps like Buffer let you post the same content across multiple channels with the click of a button, I’m 99.9% sure we’ll get to a point where we can do very nearly the same thing with AI.
Simply create content once, then your personalized team of AI agents will:
- Automatically create content formats for different social platforms
- Turn text into audio, video, and even 3D motion graphics
- Translate your content into multiple languages
- Post and schedule posts for you
I expect that our public-facing content databases will be connected to external services like Meta avatars, Google, and Bing.
But that’s still a ways away.
Maybe five years.
Maybe ten.
Until then, we’re going to see a widening gap between AI’s early adopters and the laggards – a gap that could affect workplace productivity, careers, and businesses’ ability to stay competitive.
