The Art of Riding the Bubble
People are increasingly asking whether there is a Bubble underway in the tech business. The answer is that by the time you know there is a Bubble it's probably too late to do anything about it. But if all you're doing is asking whether there is a Bubble, the Bubble is probably not here, yet.
Context & Ripple Effects
The bubble question is cyclical commentary in tech, and this post lands mid-cycle: five years earlier, bloggers were asking the same thing in the Bubble V. Boom? debate, with one camp arguing Web 2.0 was really just a bubble confined to media rather than a capital-market event.
Then in October 2007 Marc Andreessen conceded the point outright that it was a bubble, which set the template this piece now inverts — instead of arguing yes or no, SmoothSpan reframes timing itself: confirmation always arrives too late to act on, so the act of asking is evidence the answer is still no. With no syndicated pickups or public reaction recorded around its March 25, 2011 publication, its significance is as a data point in the recurring debate rather than as news.
First-order effects
- Investors and founders weighing 2011 valuations get a decision heuristic rather than a forecast: treat 'is this a bubble?' as a signal that capital conditions are not yet terminal, and position for the ride instead of exiting early.
- Commentators who spent 2006–2007 litigating the last bubble question are handed a new frame — the debate shifts from classification (bubble vs. boom) to epistemics about when anyone can know.
Second-order effects
- If the heuristic spreads, it biases participants toward staying invested through rising valuations, since by the framework any observable confirmation comes after the profitable window has closed — raising the stakes of being wrong about the timing.
- Skeptics must now argue against the meta-argument ('asking proves safety') rather than against specific froth indicators, which raises the bar for bearish cases to gain traction.
Third-order effects
- A pattern spanning 2006, 2007, and 2011 suggests the bubble question itself is a recurring feature of tech capital cycles — each generation re-litigates it with the same lagging-indicator logic, making 'are we in a bubble?' less a diagnostic than a fixture of late-cycle discourse.
The trend: Tech's periodic bubble debates recur with each capital upswing, and commentary increasingly focuses on the unknowability of the turning point rather than on calling the top.