The markets seem to be testing new highs every week or so. But the first thing you’ll notice, if you look closely at the numbers, are the more modest returns experienced in the second quarter compared with the first. The commentators and pundits interpret that as the markets “running out of steam.” However, the early part of the year might be more accurately described as a period of over-enthusiasm, with investors worrying over the possibility of “missing out.”
The chief worry as we enter the third quarter is that much of the equity returns are coming from a small handful of Artificial Intelligence-related companies. Firms Nvidia, Apple, Amazon, Meta, and Microsoft – are all soaring even as the rest of the market is taking a pause. As a result, the S&P 500 is soaring, but on a very thin number of big winners. Microsoft has seen its shares soar nearly 75% since the beginning of last year, after announcing its OpenAI initiative. NVIDIA's share price has increased nearly 150% in the first two quarters of this year. Amazon, which provides extensive server farms, is up more than 27% this year.
Analysts and investors with long memories are telling us that they’ve seen this movie before – new technology promising to change our economic landscape, create vast efficiency improvements, and permeate every aspect of our lives. The new technology does do that, but in the process, investors in new technology often lose billions. The market appears reminiscent of the tech boom of the 1990s and the massive collapse of stock prices – known as the tech wreck – that ushered in the new millennium.
Will companies find a way to use AI technology in a way that benefits their bottom line? Eventually, yes. But currently, the new technology is a cost rather than a source of revenue for all but a small handful of companies. Yes, Nvidia, the chip maker, is generating record profits – and gains. Apple Computer plans to harvest AI in its iPhones, but does that mean it will sell more phones than it has in the past? Microsoft, which pioneered ChatGPT, hasn’t yet seen the investment generate a boost to the bottom line, and other than writing college essays and maybe having computers man the phone lines to handle FAQs already posted on their websites, what is the case for use? A recent study found that, as of today, fewer than 6% of large firms are using AI-related technologies in a meaningful way.
A secondary worry is how AI models are straining our energy systems – which, of course, are also the utilities that run our air conditioners in the summer. Several reports have suggested that our electrical systems are groaning under the weight of this new AI-driven demand; a generative AI system uses 33 times more energy than computers running task-specific software, and the computations rely on giant data centers that suck up energy...
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