Ai is The Future, But Sometimes The Future Takes a While to Come
LLMs are the future, but the future takes a while to come.
Revolutionary digital products like eCommerce, the iPhone, and the cloud took decades to reach critical mass.
- eCommerce now represents 20% of retail in the US. But it started in the ’90s, it took a while!
- The iPhone didn’t take off until late 2011, despite being introduced in 2007. The iPod took even longer, peaking around 2008 after its 2002 debut.
- Cloud computing, the norm for every modern online business, still only covers about a third of its addressable enterprise market, 20+ years after being first introduced.
ChatGPT was probably the fastest-growing online application in history, reaching 100m users in just two months. However, it seems many of those users actually left.
Even at the enterprise level, there seem to be more hashtag#Ai pilots and experiments but fewer actual implementations.
The reality is, it’s still unclear what we should use Ai for. It lacks a definitive product.
For example, I love ChatGPT and use it regularly, but mostly I use Custom GPTs. So, what am I really using, ChatGPT or its apps?
It's like asking, "am I using the App Store, or rather Instagram, Gmail, or weather apps?"
Is Ai just a “platform” and we still need to build products around it? Maybe.
Although, in some fields like hashtag#marketing and coding, a versatile tool like ChatGPT proves to be useful. As a digital marketer, I can use the same tool and subscription to create and edit images, maybe videos soon, ad copy, analyse campaign data and write lines of code when needed.
Maybe Ai is more of a marketing revolution than a tech one!
