Research Note

Dot-Com and AI Disruption Research Note

The durable comparison separates technology adoption, company value capture, and asset price.

Aug 4, 20261 min readBy Dalton Anderson

Source conversation

THE BIG WORD: SURVIVING THE AI DISRUPTION CYCLE WITH JOSHUA GOULD

How do you take a traditional service business and turn it into a $100 million tech titan? Joshua Gould did exactly that, and he warns that the current generative AI boom is a massive disruption cycle mirroring the 1990s dot-com bust. If your company isn't rebuilding its tech stack right now, you are already behind. WHAT YOU'LL LEARN🚀 Surviving the AI Disruption: Discover why the current AI revolution is history repeating itself, and how to spot real AI solutions versus empty promises. 💡 The Capital Moat Strategy: Learn why integrating AI requires massive capital expenditure to rebuild legacy tech stacks, and why relying on internal profits is a losing game. 🧠 Tough Love Leadership: Find out why "protecting" your team from AI is actually destroying their future careers, and how to upskill them on the job instead. QUICK TIMESTAMPS > 04:32 - Building the "Uber for Language" with 15,000 linguists > 22:42 - The real reason managers and companies are terrified to adopt AI > 37:55 - Why scaling AI requires serious capital and a modernized tech stack ONE BIG THING Loved this masterclass on tech leadership and AI? Hit the SUBSCRIBE button to support the Venture Step Podcast, and let us know in the comments how you are integrating AI into your daily workflow!

Back to the episode hub

Dot-Com and AI Disruption Research Note

The durable comparison separates technology adoption, company value capture, and asset price.

The NBER study of internet stock pricing documents prices high relative to fundamentals and a market mechanism involving optimistic investors, short-sale constraints, and increasing sellers. FRED's Nasdaq Composite preserves the price series.

The Census Bureau estimated fourth-quarter 1999 retail e-commerce at 0.6 percent of retail, while its first-quarter 2026 estimate was 16.9 percent. BLS reports that high-tech employment took until 2013 to regain its 2000 level.

The historical record supports continued adoption after a crash. It does not predict an AI crash, timing, company survival, or investment return.

Sources

Follow the evidence.

FRED's Nasdaq Composite seriesfred.stlouisfed.org
AI-washing statementsec.gov
provider guide to delivering high-quality apprenticeshipsgov.uk
employer guidegov.uk
NIST AI RMF Measure guidanceairc.nist.gov
DotCom Manianber.org
current retail e-commerce releasecensus.gov
privately funded apprenticeship guidancegov.uk
cybersecurity governance and incident-disclosure rulesec.gov
2025 to 2026 funding rulesgov.uk
human-AI interaction appendixairc.nist.gov
early e-commerce measurement recordcensus.gov
whole-problem mapping guidancegov.uk
WordSynk 2.0 support noticesupport.thebigword.com
official WordSynk pagethebigword.com
ISO 17100 recordiso.org
high-tech employment analysisbls.gov
current leadership pageen-us.thebigword.com
tabletop exercise packagecisa.gov
NIST: Artificial Intelligence Risk Management Framework, Generative Artificial Intelligence Profilenist.gov
service-blueprinting guidancelocal.gov.uk
NIST Cybersecurity Framework 2.0nist.gov
Gould's current professional profilelinkedin.com
2026 AI business-use analysiscensus.gov
Companies Housefind-and-update.company-information.service.gov.uk