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Comparing AI's current state to the internet in 1997 highlights that while potential is clear, most practical applications are yet to be built. It is premature to declare winners like OpenAI, much like betting on Excite over Yahoo in the early web days.

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History shows the ultimate beneficiaries of technological waves are often not the initial darlings. Facebook and Google became internet giants long after the dot-com bubble. This suggests investors should be wary of paying high valuations for today's hyped AI companies, as the true long-term winners may not even exist yet.

Many dot-com bubble predictions for frictionless commerce failed because the technology wasn't capable. Today's powerful AI agents represent the maturation of that tech, finally enabling the seamless disintermediation that was envisioned decades ago.

Using a Winston Churchill quote, the hosts argue that while foundational AI technology is now scaled, we are far from a mature market. This "end of the beginning" phase means the long-term winners and societal impacts are still unknown. It is a period of transition and disruption, not a settled landscape.

Cresta's CEO argues that while the internet's evolution from 1995-2001 was somewhat foreseeable, the advancements in AI since 2019 would have been unimaginable even to the experts who wrote the foundational papers. This highlights the unprecedented nature of the current technological shift.

While OpenAI has a significant head start, its position is precarious. Swisher suggests it mirrors Netscape, which pioneered the web browser but was ultimately crushed by an incumbent (Microsoft). Google, with its vast data and resources, is better positioned to win the AI war in the long run.

Comparing AI to 1995-era internet bandwidth, the hosts argue that selling raw 'intelligence' is a low-margin, commodity business. The significant financial upside will be captured not by the infrastructure providers, but by the creators who build novel applications and experiences using that intelligence as a building block.

The current AI market resembles the early, productive phase of the dot-com era, not its speculative peak. Key indicators like reasonable big tech valuations and low leverage suggest a foundational technology shift is underway, contrasting with the market frenzy of the late 90s.

Just as companies scrambled for a "web strategy" and then a "mobile app," they now chase an "AI strategy." History shows this frenzy will subside, and AI will become an integrated tool. The fundamental job remains: build valuable products customers will pay for.

The most significant, world-changing AI companies have likely not been founded yet. Similar to how social media was an unknown concept during the dot-com boom, the true AI giants will emerge over the next 2-5 years, capitalizing on second-order effects and new platforms.

AI is currently a challenging business because it's in a heavy infrastructure investment cycle, similar to the early days of the web or cloud. Significant value creation typically occurs years after this initial investment phase, and the market isn't there yet.