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Tech is a sector unlike any other - it’s an industry where individuals can turn into billionaires overnight, ideas supersede fundamentals, and leaders are rewarded for showmanship. In today’s Silicon Valley, innovation is crowned and not earned. Venture capitalists and founders are symbiotic. Unprofitable companies are kept alive with injections of capital, gamed valuations, and manufactured hype with the goal of surviving long enough to IPO.
Starting in the early 2010s, Silicon Valley had championed big data as a revolutionary technology that could unearth deep insights, hidden patterns, and innovation from massive amounts of data. Yet the market started to question in the early 2020s if any of these promises had even been real as nearly all consumer and SaaS startups were still bleeding nearly a decade later.
Out of nowhere, ChatGPT was released and AI became Silicon Valley’s next big thing. Every tech company is now an “AI company”, every Fortune 500 needs an “AI strategy”, VCs are only investing in AI startups, and every product is an “AI” product. This is a deep dive into how artificial intelligence is just the latest tale spun by Silicon Valley to sweep prior failed trends under the rug, keep valuations high, and outlook positive.
Before AI, there was crypto, web3, blockchain, virtual reality, big data, IoT, and wearables - all supposedly revolutionary technologies that have never lived up to the hype. In this episode, we’ll dive into the market dynamics that push companies and individuals to jump headfirst into tech trends, how this all started with big data, and why AI is ultimately just another pump-and-dump.
