The dotcom and AI bubbles are eerily similar. Those bubbles were preceded by an extended bull market that convinced the crowd that stocks are much better investments than bonds and real estate. From January 1991 to the start of the internet bubble in the beginning of 1998, the SPX went up from 330 to 970. From the January 2019 to the start of AI bubble in the beginning of 2024, the SPX went up from 2450 to 4800. Both of those run ups before the bubble phase involved massive outperformance of tech stocks.
Unlike the AI bubble, the internet bubble started with the companies using the internet. Instead of pumping up the internet infrastructure plays first, the market pumped up the companies using the internet first. In the beginning, the hottest internet stocks were the companies online, YHOO, AMZN, EBAY, AOL, etc. This was the time where stocks like the TheGlobe.com and numerous unprofitable companies were at the center of the action. Eyeballs was the measure of attractiveness, not future profitability.

That was the first stage of the bubble, which started in 1998. The frenzy was over B to C (business to consumer). The internet based companies doing business directly with consumers were going parabolic. Even low barrier to entry companies like a Geocities (bought out by Yahoo), which was the MySpace of the time, and Broadcast.com (bought out by Yahoo and made Mark Cuban a billionaire) were deemed to be the internet winners. Profitability was an afterthought, it was all about eyeballs and growth. The parallel for AI is a bit difficult, because the AI pure plays using AI are OpenAI and Anthropic , which are both private. But I would imagine that if OpenAI was public starting from 2022, it would have rocketed much higher than NVDA from 2023 to 2024, but would have likely peaked out by the beginning of 2025, way before NVDA and the semiconductor names.
The second stage of the bubble was much more broad based, starting in 1999, and it focused on B to B (business to business) and internet infrastructure. Nortel, JDS Uniphase, Lucent, CSCO, JNPR, and various internet software plays (most which no longer exist). This was when the dotcom bubble truly went into overdrive. It was when online brokers sprouted up like weeds, and retail investors were pouring in to the market. Jeff Bezos was Time Person of the Year for 1999. The obvious parallel to the AI Bubble is the Time Person of the Year cover for 2025, showing the Architects of AI featuring CEOs of NVDA, AMD, META, OpenAI, xAI, etc.
By early 2000, the B to C names like YHOO and AMZN had already peaked, and were going lower as the Nasdaq was going higher. We entered the final stage of the bubble, where investors threw all caution to the wind, ignored fundamentals and looked to put money where they could have the most juice (quickest, most explosive moves higher). This is when the OTCBB market heated up and you saw crazy moves in suspect, scammy names run by get rich quick stock peddlers starting internet based businesses just to sell stock.
The parallel to this is the altcoin market in cryptos, as well as the quantum computing names. The altcoin market, along with quantum names, were raging hot in late 2024, took a break during the tariff tantrum in the spring of 2025, and then heated up again in the summer and fall of 2025. But its been straight downhill since that October 10 bucket shop drive at the crypto exchanges, when bitcoin flash crashed. Liquidating retail buying cryptos on shoestring margins was like taking candy from a baby. Just like they did at the bucket shops back in Livermore's day.
One thing about the final stage of the bubble was that ordinary tech stocks, that weren't considered to be internet focused, exploded higher out of nowhere. In that final stage of the bubble, non-internet tech plays started to ramp up, like biotechs that were focused on genomics, which was a hot thing at the time. That feels like the space sector now. Some of the hottest names at the peak of the bubble were not pure internet plays, but semiconductor names. These stocks were not thought of as internet boom beneficiaries until late in the bubble, as capex kept ramping higher. The parallels to the AI bubble are the memory makers like MU, Samsung, SK Hynix, as well as the storage companies STX, WDC, and SNDK. If you look at MU's chart in 2000, its eerily similar to what it did in the 2nd half of 2025.
There are quite a few investors who recognize that we are in an AI bubble. But I see very few investors, other than permabears like Michael Burry, preparing for an imminent popping of the bubble. Most think its still at least a year away. The common belief is that AI capex will be very strong for 2026, as orders are already booked, so the bubble won't pop this year. They don't have any urgency in selling before the bubble pops. The dotcom bubble popped in 2000 even though there were huge capex plans for all of 2000. Investors don't appreciate how quickly corporations can change their investment plans.
Comparing the stages of the dotcom bubble with the current AI bubble, it is clear that we are in the final stage of the AI bubble. That final stage hit its zenith last October, and its been sideways since then. The final stage of the dotcom bubble hit its zenith in March 2000, and the market went into a volatile, choppy range for the next 5 months. After that choppy sideways move, the bear market started, in September 2000. If the AI bubble follows the internet bubble timeline, there is not much time left. The AI capex growth expectations are sky high. Investors have already been piling money into the supposed winners of the AI boom for over 2 years now. But the practical use cases haven't kept up with the hype. No one likes Microsoft Copilot. Chat GPT and Gemini are popular, but not transformative. There will be good uses for AI. But given the huge power consumption of running these AI data centers, will the benefits outrun the costs?
Unlike the internet infrastructure buildout, the AI buildout requires a lot more energy, and it seems like AI will be a net energy consumer rather than an energy saver. For example, the internet drastically reduced the use of paper. You replaced paper bills, confirmations, documents with electronic documents. It reduced the need for transportation, the need to talk to a broker, etc. It doesn't take much energy to run a network, and build out fiber compared to building and running AI data centers. The internet is an energy saver. AI is an energy consumer. AI is supposed to make work more productive, but it seems to just be adept at copying content on the internet. A lot of it is factually wrong. Its not completely reliable.
When the internet came out in the late 1990s, most could tell that it was revolutionary, how it would change everyone's lives. Just from a trader or investor's perspective, online trading is infinitely better than putting in orders over the phone. Same goes for sending an email vs. postal mail or fax. It simplified the ability to get data in real-time. You could check an up to the minute box score for a current game, with play by play summaries. Before the internet, you had to watch ESPN for the highlights a few hours after it happened. To get a box score, you would have to wait for the newspaper the next day. And you wouldn't get any play by play summaries. If you didn't use the internet in 2000, you were a dinosaur. The quality of life difference from using the internet and not using it were huge. Whether you use or don't use AI in 2026, its not going to make much of a difference. Its just not comparable. Its like comparing mass use of electricity to the smart phone. Yet, you have prisoners of the moment stating that AI will be bigger than the internet.
While the majority believe that AI will change the world and massively increase productivity, I think it will end up just being a niche product like Siri is for Apple. Sure there will be more use cases for it in the coming years, but since AI just produces output based on a probabilistic algorithm from large data sets, its not using logic or doing any reasoning. AI is good at generating cheap video/graphics, so it will replace a lot of graphic designers. It will be good at replacing Google search results with a Cliffs Notes version that provides a quick summary of what one is looking for, with occasional hallucinations thrown in to keep the AI zombies honest.
It could add productivity by automating some manual tasks, but we already have tons of software that do the same thing. That's probably why software companies have been so weak during this AI bubble. AI is a legitimate threat to overpriced software. Companies saving money on software costs by using AI instead doesn't add value to the economy. It just takes profits away from software companies and gives it to the current users of software.
There are downsides to AI. I am seeing an exponentially increasing amount of AI slop in Twitter and Youtube. This is polluting the internet with more content and data that the LLMs will eventually be training on. AI training on AI slop is like a snake eating its own tail. I can see it in Twitter posts and replies, that are obviously LLM generated. You can smell an LLM written post from a mile away. Same goes for AI generated videos on Youtube. Can't explain exactly what AI slop looks like, but from pure intuition I can tell its not created by a human.
Recently, Citrini, a popular Fintwit / Substack subscription seller, has said that bullshit jobs are the ones that are in danger due to AI. I agree somewhat. Because AI is good at bullshitting. AI can displace some white collar jobs, but it will be inferior because even the white collar bullshit artists add some value beyond the BS through basic reasoning and know-how gained from work experience. It can replace some mediocre and low value workers, but the cost of running and using AI will probably actually be more expensive than just paying the low value workers, or offshoring the work.
The incremental benefits from AI just don't match the hype or stock valuations. It will soon be show me time for these AI related stocks. The stock market will want to see better profitability from all that AI spend. That could be a disaster. Even as the SPX hits new all time highs, we are seeing cracks form in the AI data center builders. ORCL is down 40% from its highs in September. And its CDS spreads are much higher now than it was a year ago even though the stock price is higher. Same story for CRWV, NBIS, IREN, and the other AI neoclouds. Even so called beneficiaries of AI like META are now getting scrutiny over their huge AI capex spend. META peaked in September at 790, when the SPX was trading at 6450. The SPX is now almost 7000, and META last traded at 653.
There is a huge disconnect between the hype around AI and its actual value to business and society. Its a mass delusion of the crowd. As a famous Nazi propagandist said, if you repeat a lie enough times, people start to believe it. The repeated AI hype has convinced a lot of Wall St. that AI will change the world and make companies even more profitable.
The government released the latest household allocation to equities as a percentage of financial assets. This is as of September 30, when the SPX was at 6688. SPX is a few percent higher today, so the equity allocation is even higher now. At 47.07%, you are nearly 10% higher than at the top of the dotcom bubble, and nearly 5% higher than at the December 2021 market top, which preceded the 2022 bear market. There is a lot of downside fuel for the next bear market.
Start of year fund flows poured in last week, which was greater than the selling from delaying capital gains sellers. The buying has been focused in small caps, and spread out more broadly towards non-tech stocks. This broadening out of the market has been cheered on as a good sign by the financial "experts" at CNBC. Nasdaq has been lagging the Russell 2000 since the late October highs. Its been over 2 months of underperformance. The prelude to the start of the dotcom bust was the Nasdaq underperforming the broader market.
That is what's happening now. In 2000, it took 5 months of Nasdaq underperformance to finally lead to a bear market. So this can go on for a few months before you see the market really crack. The interesting thing about last week was the relative weakness in NVDA and TSLA, the 2 most heavily owned stocks by retail investors. If retail investor holdings continue to underperform, you are adding more and more pressure. If this trend continues, which I expect (COT data shows small specs with large net long positions in SPX and NQ futures), the closer you get to the waterfall decline.
Surprisingly, GS Prime broker data showed hedge funds going on a buying spree in info tech, the largest long buying in the last 5 years. That buying wasn't enough to keep Nasdaq from lagging the SPX and Russell 2000.
Covered shorts on Thursday, as markets are trading stronger than expected and due to the likely bullish reaction to NFP and the Supreme Court tariff decision on last Friday. Well, the Supreme Court delayed their decision, which briefly caused a dip around 10:00 AM ET, before rebounding and rocketing higher for most of the day to an all time high close. This delay of the decision is probably a good thing for the bulls, as it will likely delay the top of this move for a few more days. It is better to get short when prices are higher after the news events and uncertainties are behind us.
Overnight, we got news of the DOJ going after the Powell Fed. This is a tempest in a teapot, and I am surprised to see the SPX react so much to an inconsequential news item. The independence of the Fed is treated like the holy grail, even though its obvious the Fed is politicized. The Fed governors are picked by politicians. Which make the Fed governors political, even if they try not to act like it. Why else would Powell delay rate hikes when inflation was raging hot in 2021 before his term was renewed by Biden? Its the reaction to the news that's more important than the news itself. And the SPX dropping overnight on this shows that we have some weak hands in stocks. It doesn't make me want to short right away, as I don't want to be short ahead of probable bull catalysts in CPI(will be manipulated lower) and the Supreme Court tariffs decision, which will make Trump's tariffs illegal. But after those events clear, will be looking to short any relief rally.
The next shorting chance for the bears is around January opex, which is this Friday. January is the biggest non-triple witching expiration, with lots of LEAP open interest. A lot of put protection in single stocks, especially big cap tech, will be expiring. Seasonally, January post opex is a weaker time of year. Will be looking to re-enter shorts later this week to play for post opex weakness.