Investing in a world where everyone knows everything

IN FINANCIAL markets, information has always been the raw material for investing. A generation ago, it was scarce and confined mostly to institutional investors. Research reports arrived by fax; data trickled out slowly; and traders who had faster access to the facts had an edge.

Today, the situation could not be more different. Every investor has real-time prices on their phone, breaking headlines in their pocket and, now, even large language models (LLMs) capable of turning complex financial documents into concise and professional-looking analysis within seconds.

It is tempting to believe that this abundance of insight makes markets more efficient and investors more successful. In practice, it may have created the opposite problem.

When everyone reads the same headline at the same time, and when artificial intelligence (AI) tools can summarise the story into a convincing narrative instantly, market-reaction time compresses. Moves that once unfolded over weeks now play out in hours or even minutes. The advantage no longer lies in who knows first, but in who can resist the impulse to act too quickly.

This shift is visible everywhere. In May last year, the meme-stock saga resurfaced when a well-known retail personality returned to social media. A few posts were enough to set off a frenzy in GameStop, forcing repeated trading halts as prices spiked. The fundamentals had not changed, but attention alone was powerful enough to move the market.

At around the same time, Nvidia’s rise captured the world’s imagination. There is no doubt that its earnings were strong, but the speed in which its valuation surged past US$3 trillion was as much about narrative momentum as it was about its financials. Investors around the world were consuming the same story, amplified by AI-driven commentary, and acting in unison.

A case of overreaction

Episodes like these underline a deeper truth: The challenge today is not ignorance, but overreaction. Behavioural finance has long shown that investors gravitate towards attention-grabbing stocks. A well-known study titled All that Glitters found that retail investors systematically chase attention-grabbing stocks which biases investors towards crowded trades and lower returns. Over-trading and poor timing were key reasons for poor returns.

What makes the current moment especially challenging is the veneer of professionalism that AI brings. When an LLM condenses an earnings call into a crisp summary or produces a tidy analysis of a balance sheet, it looks and sounds authoritative.

Recent studies even suggest that these models can predict the direction of future earnings with accuracy comparable to human analysts. That is impressive, but it could be dangerous if taken at face value. Output that sounds professional and confident can lull investors into a false sense of conviction.

It should be noted that LLMs generate current content by referencing information available on websites. Consequently, the reliability and quality of these sources may vary. Therefore, it is advisable for investors to carefully assess the credibility of such sources rather than accepting the information at face value.

When everyone is reading similar AI-generated commentary, the uniformity of interpretation can make market reactions faster and more synchronised. Ideas that once had a useful half-life for investors now decay almost immediately.

For individual investors, the implication is clear but uncomfortable: restraint matters more than ever. The instinct to act on each piece of fresh news is natural, but discipline comes from resisting that instinct. The challenge is not in reading more, but in reading critically by asking whether a headline truly changes the investment case, or whether it is simply part of the daily noise.

AI does not replace human judgment

There is a need for humility in the face of technology. AI is a powerful tool, and it will no doubt make some inefficiencies harder to exploit. But it does not replace human judgment. In fact, the core skill needed in the world of AI, whether in investing or beyond, is evaluative judgment.

The difference between analysis and conviction remains profound. Analysis can be generated instantly, but conviction must be built through a disciplined process. Investors who mistake one for the other risk being swept up in the very tides they should be navigating.

Equally, it is important to be aware of confirmation bias, where investors give more credence to information that agrees with their viewpoint. Personally, I find LLMs particularly useful to consider a different point of view or to highlight potential blind spots in my central thesis.

In a world where analysis is instantly available to everyone, the basics of investing remain relevant. If narratives burn out faster, crowd reactions intensify and volatility increases, then the discipline of sticking to a long-term strategic asset allocation and maintaining a diversified portfolio becomes even more valuable.

Diversification may not make headlines, but it cushions investors against the swings of overreaction, and a steady allocation provides the anchor when markets are whipsawed by the story of the day.

Cash and lower-risk fixed income, too, deserve to be seen differently. Cash is the dry powder that allows investors to move when the story has settled, or valuations have become attractive again. Too often, investors treat cash as a failure of conviction. Instead, it can be a valuable resource to be deployed when everyone else is selling due to panic.

In the end, what distinguishes successful investors in this new environment will not be their access to tools, as they are now readily available to anyone, but their ability to filter, to wait and to act only when the evidence is strong. The edge lies not in chasing every story. That is the paradox of today’s markets. The more abundant analysis becomes, the more valuable patience and discipline become.

The next time a headline flashes across your screen, ask yourself not whether you saw it before everyone else. Ask whether you have the discipline to wait until the noise subsides, the facts emerge, and conviction can be formed.

In a market where everyone can move at the same speed, the last advantage left is knowing when not to move at all.

The writer is chief investment officer, UOB Private Bank