The Bigger Picture: March 2026

We’re only two months into 2026 and investors have already experienced what feels like a year’s worth of change. It’s this accelerating pace of change that’s already the dominant issue of the year, as markets are being challenged to price in a more uncertain future.

AI remains front and centre in this evolution. While 2025 was about recognising its potential, 2026 is about valuing its consequences. So investors are now equally focused on identifying the AI losers as on finding the winners. More broadly, the benefits and impacts of AI are now being integrated into market fundamentals rather than being viewed as an emerging investment theme.

In other words, the future has arrived, and it is time to make sense of it.

In recent weeks, the most earth-shattering developments have been the accelerating improvement in AI’s real-world capabilities. At this point, most industry experts agree that its promise as a productivity-enhancing tool has been well and truly proven. The resulting gains are no longer confined to boardroom demonstrations or earnings call anecdotes. They are beginning to show up in workflows, margins and capex decisions.

The instructive point for investors is that this train is just getting started. AI capabilities are compounding on development timelines measured in months, not years, compressing the window investors have to reassess long-term growth assumptions.

Outside of big tech’s existential race to dominate, rising productivity is clearly the name of the game. But this won’t automatically translate into rising shareholder returns for all companies. Competitive pressure, regulation and labour dynamics will determine how much of that gain is ultimately passed on to shareholders.

Investors also need to be aware that the same forces likely to create extraordinary winners are also likely to compress margins and disrupt many incumbents.

This technological transformation is unfolding within a financial system that remains structurally liquid. Fiscal deficits are entrenched, debt servicing costs are politically sensitive, and central banks have repeatedly demonstrated a preference for financial stability over doctrinal tightening. The result is a system that remains structurally liquid, even while policy language remains cautious.

The market may be underestimating the durability of this liquidity backdrop. Nominal volatility may intermittently rise, but the long-term direction of broad money and public balance sheets remains expansionary.

In this environment, real returns are likely to matter more than nominal ones. Asset selection is likely to matter more than macro timing.

This has two major portfolio implications.

First, exposure to genuine structural growth remains essential. Global technology ETFs and funds exposed to digital infrastructure and tech leaders should arguably be viewed as a structural allocation in a world where digital productivity is compounding.

Second, scarce real assets have growing strategic relevance. You don’t need to believe in an alarmist currency-collapse scenario to understand this theme, only that the purchasing power of fiat currencies is fast eroding. Moreover, central bank gold accumulation and reserve diversification reflect the sticky but pragmatic drivers behind the debasement trade; the move into real assets with pricing power as a means of preserving real wealth.

What the market may still be underestimating is the potential intra-year volatility coming amidst so much fundamental change. The issue is when narratives shift quickly, price action tends to overshoot in both directions. Investors who confuse AI narrative dominance with valuation discipline are therefore likely to be punished.

In other words, this is a time when process is more important than ever.

On that note, decades of evidence show that investors capture materially less than the returns of the funds they own, largely due to mistimed trading decisions. This matters more than ever. When information velocity exceeds the pace of fundamental change, the cost of reacting too quickly rises.

Used correctly, AI can help with this. It can challenge assumptions, surface counterarguments and test whether an investment thesis has changed or whether sentiment has.

Taken together, the bigger picture in March 2026 is complex. Productivity is rising, but unevenly. Liquidity is abundant, but politically constrained. The market’s dominant narratives are powerful, but the widening range of potential outcomes makes them unpredictable.

The challenge is to build portfolios and processes that can adapt to whatever comes next, without pretending to predict it. In a market shaped by rapid technological change and persistent liquidity, adaptability is the real edge.

Simon Turner, Editor, InvestmentMarkets

Disclaimer: This article is prepared by Sara Allen. It is for educational purposes only. While all reasonable care has been taken by the author in the preparation of this information, the author and InvestmentMarkets (Aust) Pty. Ltd. as publisher take no responsibility for any actions taken based on information contained herein or for any errors or omissions within it. Interested parties should seek independent professional advice prior to acting on any information presented. Please note past performance is not a reliable indicator of future performance.