Late-1990s Telecommunications Bubble

The Late-1990s Telecommunications Bubble was a costly information cascade: a genuine Internet boom gave rise to the conviction that traffic would keep growing at 1,000 percent a year, and telecommunications companies committed tens and eventually hundreds of billions of dollars to capacity built for that expectation. When growth slowed, the figure remained conventional wisdom; only after the bubble burst and many companies were bankrupt or close to it was that wisdom seriously challenged. The episode shows how a shared forecast can overwhelm independent judgment and turn imitation into an economic hazard.

From real growth to conventional wisdom

In the early days of the Internet, traffic was growing at an astonishing 1,000 percent a year. Beginning around 1996, that rate slowed dramatically, as might be expected as a new technology matured. Yet the slowdown went unnoticed. The striking figure had become familiar enough to stand in for an assumption about the future: Internet use would continue to expand at the same extraordinary pace.

This expectation was not invented from nothing. The Internet was transformative, and investment in the infrastructure needed to carry its traffic could appear to be a rational response to a powerful business trend. The danger came when a plausible starting point became an unquestioned forecast. Companies began building for traffic that had not materialized, and the conventional wisdom made it difficult to distinguish the genuine promise of the technology from the scale of demand investors and executives had come to expect.

Investment under pressure to follow

Telecommunications companies spent tens, and eventually hundreds, of billions of dollars building capacity to handle the anticipated traffic. In that climate, refusing to invest could seem tantamount to corporate suicide. Even people who doubted that the projected growth would arrive faced a market in which everyone around them insisted that it would.

The cascade was therefore more than a collection of individually optimistic forecasts. As companies watched one another commit resources, each decision helped reinforce the expectation that had prompted the others. The resulting investments made the shared belief look increasingly authoritative, even though the underlying growth rate had already slowed. As in other cascades, decisions ceased to reflect independent assessments of private information and became profoundly shaped by the choices and expectations of others.

The cost of a shared belief

The belief was seriously questioned only after the bubble burst. By then, most telecommunications companies were either bankrupt or on the verge of going out of business. The reversal exposed the distance between the traffic the industry had expected and the capacity it had built in anticipation of it. A number that had once made investment seem unavoidable was no longer protected by convention; after the collapse, the assumptions behind it could finally be examined.

The episode gives the book’s account of information cascades a concrete economic consequence. Collective decisions are most likely to be sound when people with diverse opinions reach independent conclusions and rely on private information. In a cascade, influence instead concentrates among those who happen to move first or occupy influential positions in a social network. The telecommunications boom shows how that process can make a shared mistake seem safer than dissent.

Information, independence, and the market

The broader discussion of financial bubbles distinguishes useful public information from signals that cause people to converge on the same expectations. A group can be wise when shared information is balanced by information held privately by individual members; that mixture allows different judgments to check one another. During a bubble, expectations converge, and it becomes increasingly difficult for investors to remain independent of the crowd.

Media can intensify that feedback loop without causing the bubble by itself. When people repeatedly hear what others think the market will do, their decisions become more dependent on expectations about other people’s decisions. The telecommunications cascade belongs to this wider pattern: information and forecasts do not automatically improve collective judgment. When a striking growth figure hardens into conventional wisdom and dissent feels too risky, the crowd can amplify a mistaken expectation until the cost becomes impossible to ignore.