AI AIQ Global X Artificial Intelligence & Technology ETF Loading... : Bullish and Bearish Analyst Opinions

AI and technology stocks are in a bubble that is approaching the extremes of 2000 and 1929. Wealth creation through equity issuance is outpacing actual money, making stocks vulnerable to a crash when wealth needs to be converted into money. Additionally, geopolitical risks around Taiwan (chip supply) could trigger a sharp selloff. The bubble will burst eventually.

We are at the very early stages of the investment needed to build the compute necessary for the AI transformation. Real demand exists, constraints around capital and construction remain, and many years of buildout lie ahead. Speculative excess may occur but it is not a bubble like 2000. EQT is investing more across AI infrastructure including energy assets, data centers, battery storage, and the power grid.

AI stocks have strong earnings momentum and the fundamentals are not turning, so continue to own them. However, the core premium (implied volatility) is very rich, so selling covered calls on AI stocks is a way to generate extra income while maintaining upside exposure.

The AI infrastructure buildout (hard assets like data centers, power, and related capital expenditure) represents a generational opportunity, driven by a doubling of power demand for data centers over the next few years and $600 billion in AI capex from hyperscalers this year alone. This theme is dominating the high yield market, accounting for over 20% of issuance, and investors should focus on financing this capex across credit markets.

The AI stock market boom is increasingly disconnected from the worsening economic damage caused by the prolonged closure of the Strait of Hormuz. With tail risks of war back on the radar and no resolution, this disconnect is likely to close in a negative way, leading to a downturn in AI-related equities.

Given rising interest rates and unfavorable macro indicators like FX weakness, the only sectors that can sustain earnings growth and offset these headwinds are AI and semiconductors. Therefore, investors must focus exclusively on AI infrastructure companies, including energy-related firms, because their explosive earnings growth can cover all other market risks. This is the dominant logic driving the market and the only safe place to invest.

The current AI stock bubble is not in price but in unsustainable earnings expectations. The S&P 500 is expected to earn $400 billion, but GDP growth only provides roughly $175 billion in new corporate profits. Over 62% of earnings growth is expected from AI stocks, which is unrealistic given the size of the pie. If AI earnings fall short, AI stocks will decline; if they exceed, the rest of the S&P will suffer. The bubble will eventually pop, but timing is unknown and shorting is dangerous.

Investors will stay focused on technology because AI companies have strong balance sheets, positive cash flow, and a moat, making them a safe haven for growth and earnings. Despite cyclical vulnerabilities from geopolitical conflict, the secular AI theme will persist for years, and any dip is an opportunity to build exposure.

After attending an intimate AI conference with the leading builders and entrepreneurs, Paul Tudor Jones became more convinced of the AI opportunity, comparing the current productivity miracle to the PC and internet eras. As a macro trader, he bought more AI stocks, viewing the sector as having significant runway.

Paul Tudor Jones bought more AI stocks, believing the AI bull market is analogous to the PC productivity miracle of the early 1980s and the internet boom of the late 1990s. He estimates we are 50-60% through the rally, with another one to two years of runway and roughly 40% upside remaining, similar to the fourth quarter of 1999.

AI capex boom is a multi-year secular growth driver that is reshaping the economy. The demand for data centers and compute infrastructure is creating a sustained investment cycle that will last years. While short-term positioning is overbought and due for a washout, long-term holders in shares can benefit from the structural trend.

AI infrastructure investment accounts for a significant portion of S&P earnings, and with hyperscalers investing heavily in AI, there is more room to run for AI-related stocks as the trend persists.

Tech sectors, especially in the U.S. and Asia (like Japan), have rebounded more due to structural drivers like AI capital expenditure and are expected to sustain performance into year-end and longer-term.

AI stocks corrected and are leading the market again; AI is here to stay, with big companies likely to be survivors and generate profits, potentially acquiring smaller rebranded companies.

AI-related stocks across five subsectors (power supply, cooling infrastructure, compute hardware, network connectivity, materials/rare earths) are in a clear bull market, driven by fundamental necessity and price momentum. The AI revolution is a hard trend to fade because it is essential for national defense and corporate future-readiness, requiring massive capital expenditure (capex). While volatile and frothy at times, this is the area to concentrate on for bullish exposure.

Investors should go back to focusing on the AI theme and the growth part of the economy, as tech and communication services have seen positive earnings revisions and the AI-driven investment is existential and ongoing regardless of Middle East events.

Exposure to the AI theme should be selective, not through broad indices or sectors. Look for companies that are investing in AI and will see monetization of that investment, while avoiding those simply issuing bonds to fund capex without a clear path to returns. The semiconductor sector is a key area for this selective exposure.

The AI theme is coming back with cheaper multiples than two months ago, and market euphoria is driving gains, making AI-related stocks attractive.

Hyperscaler capex is forecast to grow 60% year-over-year, and monetization of AI is showing positive signs with annual revenue run rate increasing to $30 billion. The U.S. has an edge in AI due to relative insulation from energy disruptions.

AI infrastructure stocks are still hitting new highs and represent an area to look for going forward as part of the digital economy transformation.

The AI theme is beginning to dominate the market again, and we might be moving back to a world where the focus is on trading that theme, its winners and losers. The speaker is increasingly leaning towards this camp.

AI is a persistent and key thematic driver of productivity improvements and innovation in the U.S., similar to historical innovation cycles, and will continue to be a major market narrative.