The finding was striking: an investor who bought stocks with the highest proportion of "Buy" ratings, and shorted those with the lowest would have underperformed the broader market.
Who says analysts aren't useful? They are - just perhaps not in the way most people think.
The takeaway isn't that analysts are incompetent. Far from it. Most research reports are thorough, data rich and professionally prepared. The problem is that following consensus, especially a strong consensus, has rarely been a winning investment strategy.
The irony couldn't be sharper. We are living in an age where information has never been more abundant - and never been less valuable as a source of competitive advantage.
With a few clicks, and increasingly with the help of AI, anyone can access annual reports, conference call transcripts, financial ratios, industry data, management commentary, and peer comparisons. AI can summarize it all into a polished investment note in seconds.
This should have made beating the market easier.
Instead, it has made it harder.
Markets don't reward people for possessing the same information as everyone else. They reward those who interpret that information better, identify what others are overlooking, and have the conviction to act when prices diverge from intrinsic value.
That's the second order effect of the information revolution.
As information becomes commoditized, the information edge disappears. When everyone has access to the same models, the same management commentary and the same research reports, the analytical edge begins to shrink as well.
What remains scarce isn't information. It's independent judgment.
You don't generate alpha by building ever more elaborate spreadsheets or refining your DCF model to the second decimal place. (Though, at times, DCFs are often misused as tools for validating biases than testing them.)
Alpha comes from buying a good business when it is mispriced, and having the patience and conviction to hold it when the prevailing opinion disagrees.
If there is one segment where this side effect of information edge is most visible, it is Indian small caps.
There was a time when smallcap investing demanded real legwork. Information was scarce. Annual reports were often the only reliable source of research. Investor presentations were rare. Management interactions were difficult to arrange.
Conviction had to be earned through painstaking work - often including company visits and face to face meetings.
Today, the landscape is entirely different.
Every promising smallcap company is tracked by multiple brokerages, discussed endlessly on social media, dissected on YouTube, and summarized by AI within seconds. Information has become democratized.
The unintended consequence is that genuine mispricing has become much harder to find.
That's one reason many quality smallcap businesses now trade at valuations that leave little room for error.
Even as several macroeconomic uncertainties remain unresolved, the Small Cap to Sensex ratio currently stands around 0.73, dangerously close to previous peaks. Similar levels in 2008 preceded the sharp correction following the global financial crisis, while the peak in early 2018 was followed by a 40-60% decline in the small-cap index.
History doesn't repeat with precision, but it often rhymes.
That doesn't mean small caps are uninvestable. It simply means that easy money has largely been made.
Unless earnings surprise significantly on the upside, or markets experience a broad correction, finding obvious bargains will remain difficult, particularly among popular names.
If your conviction comes primarily from brokerage reports circulating on social media or from widely shared investment narratives, it's good time to question it.
So where does alpha come from now?
I believe it comes less from finding the next hidden gem and more from doing the ordinary things exceptionally well. This involves maintaining valuation discipline, choosing quality over excitement, and being patient when nothing is worth buying.
And perhaps most importantly... think as much about allocation as you do about selection.
Stock selection gets all the attention. However, it is portfolio construction that quietly determines most of the outcome.
A concentrated bet on a great business can transform a portfolio. A concentrated bet on the wrong one can permanently impair it.
Diversification protects us from our mistakes, but excessive diversification also dilutes our best ideas.
This is hardly a new insight.
Elton and Gruber's research showed that most of the meaningful reduction in portfolio risk comes from owning roughly 20 to 30 stocks. Beyond that, each additional holding contributes progressively less to risk reduction while nudging the portfolio closer to index-like returns.
John Maynard Keynes reached a similar conclusion through experience rather than theory. He wrote:
"As time goes on, I get more and more convinced that the right method in investment is to put large sums into enterprises which one thinks one knows something about and in the management of which one thoroughly believes... There are seldom more than two or three enterprises at any given time in which I personally feel myself entitled to put full confidence."
Perhaps that's the real lesson for today's markets.
When information is democratized, independent judgment is one of the few remaining sources of sustainable alpha. And once you've found a stock worth betting on, have the courage to size them well.
Do you agree? Share your views in the comments.
Warm regards,

Richa Agarwal
Editor and Research Analyst, Hidden Treasure
Quantum Information Services Private Limited (Research Analyst)
Equitymaster requests your view! Post a comment on "Small Caps, AI & the Disappearing Information Edge". Click here!
Comments are moderated by Equitymaster, in accordance with the Terms of Use, and may not appear
on this article until they have been reviewed and deemed appropriate for posting.
In the meantime, you may want to share this article with your friends!