Buying the Big Dip in AI Stocks

The current market flush triggered by the Trump administration’s threat of additional 100% tariffs on China due to fresh export restrictions on rare earth metals, of which China controls 70% of the global supply, has provided a much-needed moment of consolidation of an overbought market within a longer-term bull trend. It is the pause that refreshes and gives investors a chance to initiate and add to the top investment themes heading year-end and 2026.

The most prominent theme driving investor attention continues to be AI infrastructure and productivity with the continued announcement of eye-watering capital commitments that cross the tape on an almost daily basis. While hype around AI applications is wide-ranging, the focus on semiconductors, data centers and cloud platforms remain strong.

It seems every day that the financial media equates the AI revolution with the dot-com era, where hundreds of companies that adopted a “.com” domain and a pitch deck went bankrupt in sudden fashion around the year 2000 and thereafter. What should be made crystal clear to investors today is that the AI transformation differs from the dot-com era because it’s built on mature infrastructure, real-world use cases and proven demand, whereas the dot-com boom was largely speculative, with many companies lacking viable products or business models.

For the dot-com era of 1995-2000, the internet was new, and infrastructure (broadband, cloud, mobile) was still primitive. Many startups were built on hype, not capability. AI is built on decades of research, with robust cloud platforms, GPUs and data pipelines already in place. Tools like ChatGPT, Copilot, Gemini and enterprise AI platforms are already deployed at scale fueled by capital from the mightiest companies in the world.

By 2030, the United States is expected to host thousands of data centers, with hyperscale and colocation facilities driving exponential growth, though no single source provides an exact count. McKinsey has put out some forecasts, stating that global investment in data center infrastructure is projected to reach $7 trillion by 2030, with over 40% allocated to the United States, or roughly $2.8 trillion.

Grandview Research reports that the U.S. data center market is forecast to reach $164.7 billion in revenue by 2030, up from $89.9 billion in 2024, growing at a Compounded Annual Growth Rate (CAGR) of 10.6%. The baseball timeline is constantly being thrown around as to where we are with the AI infrastructure buildout, and based on these noted forecasts, we’re in the 3^rd or 4^th inning, where capital deployment is accelerating, but foundational systems are still being scaled and optimized to provide ample compute power and higher throughput.

This all coincides with the need for rapid expansion of the electric grid and the wealth-building opportunities within the engineering/construction sector where backlogs, sales and earnings are booming. Much of the U.S. electric grid was built in the 1960s and 1970s. The grid is undergoing a generational overhaul. Upgrading 70% of aging infrastructure is essential — not just for reliability, but to enable the AI buildout, electrification and clean energy transition.

The vast majority of transmission lines are over 25 years old and approaching the end of their typical 50–80-year lifecycle. McKinsey projects U.S. power demand will grow over 3% annually through 2040, requiring massive capacity expansion.

Natural gas is still the largest actual source of electricity today (~40% of U.S. generation) and provides reliable baseload and peaking power, crucial for balancing intermittent renewables. Modern combined-cycle plants are efficient and relatively quick to build. Gas is abundant domestically, making it a stabilizing “bridge fuel” for the grid through at least the 2030s.

However, the greatest future “fuel” for U.S. grid expansion will be solar energy, complemented by wind and backed by natural gas for reliability, with nuclear SMRs and green hydrogen emerging as long-term strategic additions. Solar power is by far the fastest-growing source of new capacity. Utility-scale solar costs have dropped over 80% in the past decade. The U.S. Energy Information Administration (EIA) expects solar to account for over 50% of new generating capacity added through 2030. The price action for the solar sector has picked up after a steep multi-year decline.

This is not my view, but that of some of the deepest research available on the topic of AI and how it will be monetized in good time. What seems clear throughout this whole AI experience is that the biggest players in the space are widening their motes of where they operate. AI is wildly expensive to deploy at scale and using market pullbacks to accumulate shares of top “Who’s Who” among the top AI infrastructure and applications companies is the way forward to continued capital appreciation of portfolios.

Aside from AI, the power grid, gold, autonomous driving, robotics, quantum computing, nuclear power, stable coin and cryptocurrencies all represent highly desirable areas of investor capital concentration that is diversifying investor enthusiasm in a market that is broadening out. The innovation coming from AI and these future technologies along with Fed easing are structural tailwinds that won’t be stopped by or derailed by a geopolitical dispute over rare earth metals.

It is an exciting fourth quarter shaping up, where bouts of headline-driven selling pressure offer long-term investors a buying opportunity in what is one of the most compelling generational wealth-building growth cycles in stock market history. My Hi-Tech Trader AI-driven trading service has been profiting from the AI boom all year, and the winning streak only continues with the surge in AI application to everything. To jump aboard the AI train and start making serious trading profits, go here and get started today, and make AI power up your trading portfolio profits!