Exec Package + Claude OS Master Skill | Business Engineer Founding Plan
FourWeekMBA x Business Engineer | Updated 2026
Every technology boom invites the same question: is this different, or will it end like the others? AI’s trajectory invites comparison to the internet, mobile, and cloudโbut the structural characteristics suggest this cycle may genuinely differ.
The comparison is instructive but incomplete. Internet adoption followed an S-curve; AI adoption may not. The internet created new capabilities; AI amplifies existing ones. The internet required infrastructure build-out; AI leverages infrastructure already built.
What’s Different
Three characteristics distinguish AI from prior cycles. First, immediate productivity impactโAI generates value from day one, unlike platforms requiring network effects to mature. Second, universal applicabilityโAI improves nearly every knowledge work function, unlike technologies serving specific use cases. Third, compounding improvementโAI gets better with use, creating flywheel dynamics prior technologies lacked.
What’s Similar
The hype cycle is familiar. Overinvestment, inflated expectations, and eventual disappointment follow every major technology. The question isn’t whether AI faces correctionโit’s whether the correction arrives before or after fundamental value creation.
The second-order insight: even if AI follows a typical hype cycle, the underlying transformation may prove larger than prior cycles because AI compounds existing digital infrastructure rather than requiring greenfield build-out.
For technology cycle analysis, explore The Business Engineer.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
