I was at a meeting recently and someone asked, “What happened in the late 1990s…what the hell was everyone thinking and why did we all lose our minds?”
Just in case anyone’s forgotten, we overspent on technology, deployed questionable killer apps, and generally suspended the use of due diligence, business cases, total cost of ownership analyses and return on investment requirements.
It was a great question. Here’s an answer — and some thoughts about what we may have missed while we were intoxicated.
The Perfect Storm
Three storms collided in 1995-2000, storms that most of us misinterpreted as the launching of the new digital economy. It was, as George Cloony discovered in the movie of the same name — the perfect storm:
All of this contributed to a massive misinterpretation of events that made too many of us believe that the world had indeed changed, that the “old economy” had collapsed under the weight of the “new economy.” We were off and running. Or so we thought.
The net effect of all this was one of the deepest retrenchments of capital technology spending we’ve ever seen. Way, way overdone.
The Glass is Half Full
But there’s another way to look at the perfect storm. While many eBusiness models failed (at least in the short-term), the storm got everybody thinking hard about how to exploit a new communications and transaction channel. We also averted any major Y2K catastrophes; and finally, the bear market scared most of the amateur venture capitalists off the playing field (to the chagrin of their investors still searching for returns on their investments).
But it’s also important to understand the period from 1995 to 2000 as the period that built the foundation upon which serious technology integration and interoperability now rests. Many of us missed a new generation integration/interoperability technologies that enable new collaborative business models. What began in the form of published applications programming interfaces (APIs) evolved to generic enterprise application integration (EAI) tools, and now we’re making significant progress in uber glue: Web Services.
Computing and communications technology is actually starting to work; the stuff is coming together in ways we couldn’t imagine 10 years ago and had trouble describing even five years ago. Business models are morphing toward collaboration, supply chain integration, personalization and customization, among other connectivity-based processes. There’s a rhythm to these trends: collaborative business models moving nicely with integration technology.
The inertia of old business technology management practices is still, however, driving too many of our technology investment decisions, still driving us toward piecemeal applications, ill-conceived sourcing and staffing strategies, crazy organizational strategies, and metrics that measure the wrong things.
It’s time for a second look. Shake off the hangover and look at the collaboration and integration possibilities around you. The frenzy of the mid- to late-1990s shouldn’t paralyze us. Isn’t it amazing how we over-react — and then over-react? The pendulum never seems to adjust to reality. Just as we lost our minds in the 1990s and did some really stupid things, now we’re not doing any smart things, which of course is stupid. When will we get it right? Let’s just hope that in five or 10 years when the frenzy returns (over god knows what) — we’ll recognize it for what it is.
What do you think? Will we be smarter next time?
Steve Andriole is the Thomas G. Labrecque Professor of Business at Villanova University where he conducts applied research in business/technology convergence. He is also the founder and CTO of TechVestCo, a new-economy consortium that focuses on optimizing investments in information technology. He can be reached at stephen.andriole@villanova.edu.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.