
As we reflect on 2026, one thing is clear: this has not been a “normal” market cycle. Instead, it has been shaped by a small number of powerful forces that have dominated returns, challenged traditional diversification, and forced investors to make more deliberate choices.
Understanding these forces – and how they may shape the years ahead – is critical for long-term investors.
A defining feature of 2026 was market concentration. Returns were driven by a relatively narrow group of companies, largely tied to artificial intelligence (AI), infrastructure and energy. This meant that “the market” did well, but not all parts of the market moved together.

At the same time, bonds behaved differently to what many investors had grown used to. Long-term government bond yields remained under pressure due to rising government debt and fiscal concerns, even as central banks began easing policy. This challenged the traditional role of bonds as a reliable shock absorber in portfolios.
BlackRock’s latest capital market assumptions reflect a world that looks very different from the past decade:
You can read further here.
BlackRock estimates that global AI-related capital spending could reach US$5–8 trillion by 2030. That scale of investment is unprecedented and has real economic consequences, influencing growth, inflation, energy demand and capital markets more broadly.
However, this does not mean every AI-related company will be a winner. A key question is who ultimately captures the revenues created by AI. This is why BlackRock sees AI less as a passive “buy everything” story and more as an active investment opportunity, where selectivity will matter more over time.
Importantly, BlackRock believes that if AI meaningfully lifts productivity, it could help economies grow faster than their long-term trend – something that has not happened after previous technological revolutions. While not guaranteed, it is now conceivable for the first time in decades.
1. “Micro is macro”
The investment decisions of a small number of very large companies – particularly in AI – are now big enough to influence the entire economy. This blurs the line between company-level analysis and macroeconomic outcomes.
2. A more leveraged system
AI investment is front-loaded, while revenues come later. This has led to increased borrowing by companies at a time when governments are already heavily indebted. The result is a system that may be more sensitive to interest rates and bond market volatility.
3. The diversification mirage
What looks like diversification on the surface may actually be a large active bet underneath. For example, moving away from U.S. equities or AI-exposed assets may reduce exposure to the very forces driving returns – without necessarily reducing risk.
Because of this, BlackRock emphasises scenario-based investing, private markets, and more granular portfolio construction rather than relying solely on traditional asset class labels.
Markets are being driven by a small number of structural forces – especially AI – and investors can no longer avoid making meaningful decisions about them. The challenge, and opportunity, lies in building portfolios that are resilient across different scenarios while remaining positioned for long-term growth.
As always, the focus should remain on:
If the last few years have taught us anything, it’s that adapting thoughtfully matters far more than trying to predict the next twist in markets.
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