You Can 100% This: A.I.

A.I.s 37.3% Growth Rate

According to Grand View Research, Artificial Intelligence (A.I.) is projected to see an annual growth rate of 37.3% from 2023 to 2030. Experts are estimating A.I. will make us more productive and it will make it easier for us to do just about everything from writing our own custom apps to making businesses more competitive.

The New Gold Rush

Internet influencers are capitalizing across all mediums from Tik Tok to YouTube to pitch us on how we can get instantly rich building automation solutions for everyday tasks using A.I. Influencers espouse that you don’t even need to know how to code or have any prior IT experience and of course, it will cost you next to nothing to implement.

Drain the Moat

This all sounds grand with the exception that there are little to no barriers to entry. What the influencers are saying goes against everything we were taught in business school about building a successful business plan that requires having a defensive moat or operating in an area with a high cost of entry helps stay ahead of the competition. If anybody can do it with the least amount of friction then everyone will be operating at the same competitive level in a saturated market.

A.I.s Peak?

Ultimately generative A.I.s initial phase is peaking. That indicates two things: 1) A.I.’s evolution is happening fast and 2) some of these influencers’ claims are misleading. I have used A.I. extensively across Open A.I.s ChatGPT, Google’s Bard, and most recently Meta’s LlaMa large language model. The conclusion: A.I. still has a way to go. In particular, it makes a lot of mistakes. For example, the idea that A.I. will displace coders because we can simply ask it to write code for any API or App that we can dream up is false because you still need to know how to code to decipher the A.I. output and because I have learned A.I. can provide error-prone code, so you need to know some fundamentals about how to run and debug code.

From Chatbots to Early Majority Adoption

Net, A.I. will continue to grow beyond its initial growing pains into wider adoption. Reaching the majority adoption phase of the technology adoption curve will require greater integration. This is already beginning to happen as big businesses are executing generative A.I.-enabled customer service and sales chatbots at scale.

A.I.s Antedates

We can relate our current relationship with A.I. to how the internet evolved in the early nineties from being a tool that early adopters used by typing in cryptic URLs to the late nineties when more advanced web browsers made it easier to “surf” the web and made it a useful tool for the masses. According to Google’s Bard, the first web browser was called “WorldWideWeb” and was developed by Tim Berners-Lee in 1990 during the Innovators Phase of the technology adoption curve. Netscape Navigator and Internet Explorer were conceived in the early nineties during the Early Adopter phase of the cycle and were followed in the late nineties with more advanced versions that enabled a majority of adopters in the Early Majority phase of the technology adoption curve.

We Will 100% This!

A.I.s adoption curve will move on the same level if not even faster than what happened with the internet. Instead of adoption taking a decade, we should expect to see massive changes happening in months. And unless you’ve been sleeping under a rock and missed all of A.I.s developments, you will undeniably 100% this (A.I.) before you even know it because A.I. will eventually become so ubiquitous it will make simplicity out of our most mundane and complex tasks seamlessly.