Understanding AI History Teaches Us to Keep Hype-Cycles in Perspective
As of August 2024, almost two years after AI hit the cultural consciousness, it seems the AI-bubble may be starting to take some hits. Recently, Bloomberg News posted an article highlighting that some tech founders and investors are starting to question/wonder about AI's profitability, etc. etc. Well, here is case & point on why it's so important for business leaders to have some basic understanding of the history of AI (or technology, for that matter). AI, in particular, has gone through periods of rapid progress followed by an "AI Winter," which is often caused by a lack of what we could call tech capacity (software, hardware limitations, etc.). We often go through hype cycles, and if the history of AI (or tech) teaches us anything, it's important to have a balanced perspective of the promise, perils, limitations, and opportunities of AI [or insert latest technology].