Whilst the technology sector is outperforming the benchmark index this year — semiconductor stocks have done the bulk of the heavy lifting. And it’s not difficult to explain investor FOMO. It’s entirely due to the hype around “AI” and specifically something called “Generative AI”. For example, in a report by Grand View Research, they valued Gen-AI at ~$13B last year. However, its anticipated CAGR is estimated to be ~36% – which puts the industry hitting $109B by 2030. That’s a sharp ramp higher from basically zero two years ago. And today – there a very few chipmakers who produce the GPUs required to meet the insatiable demand. However, is the demand semis are seeing today (and revenue) sustainable long-term? That’s unlikely.
Bubbles
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Something Doesn’t Add Up…
It’s Nvidia’s world and we’re living in it (if you believe the stock market). The S&P 500 (and Nvidia) recorded all new highs post the AI chip maker’s earnings. Be careful paying too much. The rapid rise in Nvidia’s market cap has only seen the market narrow further. And from mine, that makes it more subject to both volatility and risk. Deutsche Bank’s Jim Reid dimensioned the risk another way. He shows how the Top 10% of stocks in the S&P 500 constitute ~75% of the total capitalization. We have not seen that since 1929! The only other time we saw something similar was the dot.com bubble…
Mean Reversion: Index Risks & the ‘M7’
In the game of asset speculation – mean reversion suggests that over time an asset will eventually return to its average price if it drifts or spikes too far from that average level. If applied, it can often help you avoid paying too much. My thinking is the S&P 500 has now drifted too far from the longer-term mean. History has always told us that inevitably prices will mean revert. This post explores the potential risks to investors if simply choosing to passively invest via the benchmark Index. Look no further than the so-called “Mag 7” – which constitute more than a 30% weight.