There are people whose words really move markets. Larry Fink, the head of BlackRock, is one of them. The firm he runs manages over $14 trillion in assets, more than the GDP of Japan and Germany combined. When Fink talks about the direction of the markets, Wall Street listens.
In his latest commentary on the investment environment , Fink delivers not reassuring news, but a clear message: those fleeing to cash today are making arguably the biggest mistake of their investing careers. The reason? Artificial intelligence will change the rules of the game before most investors realize it.
As Fink describes today's markets
Fink notes that over the past 20 years or so, the S&P 500 index has managed to appreciate more than eight times an investor's capital, despite financial crises, pandemics, inflation and geopolitical shocks. The key conclusion is simple: over the long term, time in the market has been more important than trying to hit the ideal timing of entry and exit.
At the same time, he points out that we are living in a "compressed" era, where what used to fill an entire decade happens in a few years. Energy shocks, the rebuilding of supply chains, the rise of trillion-dollar tech companies and the breakthrough of AI. This brings more unknowns, but according to Fink, it doesn't change the fundamental principle: the store of value in the long run is real assets and quality companies, not cash.
AI as a structural trend, not a bubble
Fink sees AI not as short-term hype, but as a structural change that will create enormous economic value, transform entire sectors from finance to healthcare to industry to media, and become a key axis of competition between the US and China.
He mentions that the eventual "victims" of AI, i.e. companies that fail to adapt, are part of capitalism, but that does not mean that the sector as a whole is a bubble. On the contrary, Fink repeatedly says that a bigger risk than an "AI bubble" is a situation where Western economies invest little and leave the technological leadership to China.
From an investor perspective, he is implicitly pointing to titles like Nvidia $NVDA, Microsoft $MSFT, Alphabet $GOOG, Meta $META or Amazon $AMZN, but also to less visible infrastructure players such as providers of datacenters, optical networks and power solutions for AI.
Why not exit the market, according to Fink
Fink's key argument rests on historical experience: volatility, geopolitics and recessionary fears have always been there, but technology disruptions generally reward those who are inside the market, not on the sidelines.
Specifically with AI, this means that those who have no exposure to the AI ecosystem in their portfolio, which includes chips, cloud, models and apps, risk missing out on a substantial portion of future appreciation. A long horizon, typical of pension strategies or long-term savings, is an advantage: an investor with such a horizon is less forced to panic in short-term downturns.
Fink doesn't say it doesn't matter what you buy. He says that fleeing to cash at a time when the technology trajectory is breaking down is an expensive mistake in the long run.
AI, inequality and why growth shouldn't benefit only the elites
Fink also points out that AI can further open the scissors between those who own capital and those who sell labour. Globalisation has hit manual and blue-collar professions hardest. AI can push analysts, administration, parts of IT or marketing in the same way. And if AI mainly benefits the shareholders of a few companies, this will inevitably lead to political and social pressure.
The solution he proposes is to involve the wider public in the benefits of AI through pension schemes and funds. From the perspective of BlackRock $BLK, this is of course also a business. But the idea has real substance: AI is becoming such a big growth engine that if it remains locked in the portfolios of wealthy investors only, the inequality problem will deepen and with it the risk of a regulatory backlash that slows down the entire sector.
How this can inform portfolio construction
If you want to translate Fink's insight into concrete investment logic, several practical points emerge.
The key is not to play short-term scenarios, but to have a long-term portfolio skeleton consisting of a global or US equity index like the S&P 500, supplemented by a focused AI infrastructure and leadership component.
Within AI, it then makes sense to distinguish layers of exposure. The base layer includes chip players like Nvidia $NVDA or AMD $AMD and AI server makers. The middle layer covers cloud and hyperscalers, i.e. Microsoft, Alphabet or Amazon. The application layer then represents companies that can monetize AI in specific products, from Meta and Salesforce to Adobe and smaller niche players.
Fink himself says that some AI projects will fail, and that's okay because that's capitalism. But as a whole, AI will shift the profitability and productivity of companies that integrate it sensibly. So he recommends treating volatility as a cost of entry into a long-term growth trend, not as a signal to flee the market.