I am pretty confident that we're in uncharted territory here with this bubble. Play at your own risk. There is no lifeguard on duty.
Yes and no, as far as uncharted territory. Going back several centuries, every time there's a financial bubble it's a unique set of circumstances specific to that time and place which makes it new and different. But like the saying goes, "History doesn't repeat but it often rhymes," and speculative bubbles do share a lot of similarities under the hood. Especially being driven by greed, and fear of missing out. And in the case of a new technology, there's also the promise of some unknown future where everything will be transformed and wonderful. There's definitely parallels between the current A.I. mania and previous bubbles. And there's
always been no lifeguard on duty.
For one thing, it's not uncommon in the early stages of development for some companies to overspend on infrastructure. There's examples over the past 100+ years with railroads, electricity, canals and roadways, fiber-optic lines, and likely now with A.I. capex. Early companies tend to overestimate the demand and/or misjudge how long it will take to materialize. And they pay the price by taking losses, laying off workers, divesting parts of the company, suffering 90+% markdown on the stock price, or even bankruptcy. But the over-built infrastructure typically survives, and some other company acquires it cheaply, later on when the demand finally shows up.
Like the Internet Bubble in the 90's, the A.I. boom is tricky because there's a lot of different angles to look at. You have the chip manufacturers, the hardware designers, the platform software companies, the application software companies, and the data centers. Plus the real estate companies, commercial builders, and electric companies. In each of those categories there's going be pioneers who overspend, laggers who never catch up, and a few who get it "just right".
Here's a chart I may have shared before in this thread, showing how different sides of the tech sector were leading during different phases of the Mobile Internet Boom of the early 2010's. You could make a similar graph for the original Internet Bubble, and for the current A.I. Bubble.
And lastly, just on the subject of software. Here's a great article from last week talking about the impact of A.I. on existing software companies, and why the SaaS model is likely to get hit even harder than it already has (Microsoft -27%, Salesforce -48%, Workday -53%, Oracle -53%, Docusign -58%, Adobe -58%, etc.)
SaaSmageddon Is Here – and Not All Software Stocks Will Survive
(archive)