I first read about the singularity and Ray Kurzweil's predictions back in 2010. He spoke about a point in the future where artificial intelligence surpasses human intelligence leading to rapid technological advancement. I remember being fascinated by the concepts and how it would change the world. But I thought he was crazy, not so much because of what he predicted, which was mind blowing but plausible, but because of the time frame he outlined.
At the time there was no AI and nothing close to it. For Kurzweil’s predictions to come true, AI itself would have to be invented within a decade or so. Well obviously, that happened, and in line with his predicted timing. So, if his timeline is right then the AI revolution has only just begun. This is critical to understand because the scale of this is unlike anything we have seen before.
Now, as the boom gathers pace, we are hearing more talk of an “AI bubble”. Commentators are drawing comparisons to the dot-com era boom of the late 1990s where wild optimism ended in a spectacular collapse. But there are some crucial differences this time.
This is not a once in generation boom. Those were the personal computers, internet, mobile phones. This is an AI industrial revolution. A once in a lifetime shift that will reshape the course of human history in the same way the first industrial revolution transformed the world. This is not hyperbole. This is real.
What we are seeing now is an explosion in demand for semiconductors, data centres, and energy. We are in the foundational infrastructure phase of AI. We are building the roads, powerlines and factories of the digital age. Companies like NVIDIA, AMD, TSMC, and ASML are the new industrial giants. They are equivalent to the steelmakers and rail companies in the 1800s. What they produce isn’t visible to the naked eye, but it powers everything else. Billions are being spent not on end products but on the capability to create them.
Then come the architects, the platforms building on top of that foundation. Alphabet, Amazon, Apple, Meta, and Microsoft are spending tens of billions to construct the superstructure of the AI economy. Their investments in chips, data centres, cloud networks, and proprietary models aren’t just a corporate arms race, they are laying the digital plumbing the next century will run on.
When Mark Zuckerberg tells investors Meta will spend $70 billion in a single year, or when Microsoft and Amazon pour capital into global data infrastructure, they’re building for the long term. Investors are impatient, especially when they see large capital investment, they want to see returns. But this is critical infrastructure and those companies that don't invest will be left behind in the future.
The same applies to energy. Data centres are already account for 4.4% of all electricity consumption in the US and that share will rise sharply (within a range of 6.7% to 12.0% by 2028 according to the 2024 United States Data Centre Energy Usage Report). Nations and corporations are racing to secure the energy and cooling capacity needed to support AI infrastructure. It's not glamorous but it’s essential to power what’s to come.
If this were a skyscraper, we’re still pouring the concrete slab. The real transformation comes when applications begin to rise from that base. Today the market is being driven by infrastructure investment, but the next wave will be powered by what people build on top of it. It will be the Agentic AI systems that don’t just respond to instructions but carry them out. We’re entering an era where AI can complete tasks end-to-end. Scheduling meetings, building software, managing portfolios, designing products, all autonomously. That’s when productivity leaps, and entire industries are reshaped.
Innovation will expand to fill any excess capacity that’s created. Even if companies overbuild data centres today, history shows that technology quickly catches up. The same happened with railways, telegraphs, and broadband. Supply precedes demand, and demand then explodes.
The software revolution will soon meet its physical counterpart. Anything that needs to be moved will eventually be moved by a machine directed by AI. The distinction between digital and physical will blur. Companies across the world are now developing robots capable of performing manual and repetitive work. It sounds like science fiction, but the prototypes already walk, grasp, and learn. Amazon recently announced plans to replace 500,000 warehouse roles with robots which equates to half its current workforce. That’s not a headline about layoffs it’s a glimpse into the new labour economy.
This convergence of software and hardware, when intelligence and motion combine, is where the true scale of AI’s impact will be felt. The long-term economic gains will dwarf anything seen in previous tech cycles.
For long term investors, the question isn’t whether AI is overhyped, it’s whether the market is mispricing how deep and long this cycle runs. Valuations for major tech companies may look stretched in the short term, but the structural trend remains intact. The capital being spent today is building the operating system of the future. There will be market setbacks and pullbacks along the way. Some projects will fail. But these will be moments to add to core holdings, not reasons to exit. Each correction will likely prove a buying opportunity in hindsight.
The scale of change ahead is hard to comprehend. Kurzweil’s timeline may have sounded crazy fifteen years ago, but it’s starting to look prophetic. If he was even close to right, what we’re seeing today is not the peak of an AI bubble; it’s the first chapter of a story that will define the century.
General Disclaimer: This information is of a general nature only and may not be relevant to your particular circumstances. The circumstances of each investor are different, and you should seek advice from an investment adviser who can consider if the strategies and products are right for you. Historical performance is often not a reliable indicator of future performance. You should not rely solely on historical performance to make investment decisions.