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73 Wall Street analysts cover Amazon, there are 72 on Meta, and 66 write about Nvidia — how many do we need?

Most of them have the same opinion, by the way (that you should buy those stocks).

In the 1990s, one of the most highly sought after jobs on Wall Street was stock research analyst.

Crunching some numbers, chatting to a few experts in the industry, and then writing (typically bullish) reports about stocks, in the hope that your insights would encourage investors or companies to do business with the financial institution you were employed by, was a great gig. The pay could be sky-high — some analysts made upward of $15 million a year in the glory days, per Bloomberg — and the CEOs of the companies in your remit wanted to talk to you. Crucially, analysts don’t personally have any skin in the game. Told everyone to buy a stock and it whiffed on earnings? You might lose face, and maybe some clients don’t take your calls, but you won’t lose any money. Onto the next one.

However, by the time I wandered wide-eyed into an investment bank’s research division in 2014 as an intern, the game had changed. By then, regulation quite rightly required a strict firewall between research and banking, blunting the conflict of interest between the two — and turning off the money hose for star analysts at big banks. Furthermore, as trading margins were squeezed, regulation tightened in Europe (MiFID II), AI emerged, and passive investing scooped up assets at breakneck speed, the headcount at research departments shrunk. As written in this great Bloomberg piece, published on January 8:

“Compared with their post-financial crisis peak, it’s estimated that the biggest banks globally have slashed the ranks of equity analysts by over 30% to lows not seen in at least a decade. Those who remain often cover twice, or even three times, as many companies.”

So, equity research has shrunk, and yet we still have 73 analysts — the highest number of any stock in the S&P 500, per FactSet data — all publishing price targets, building financial models in Excel, and writing reports about Amazon. How did that happen?

One explanation is that we have fewer analysts covering more companies in less depth. Another is that data aggregators like FactSet are collating more estimates and ratings from outside of the traditional 15 to 20 largest banks, including people working for boutique research houses, their own independent consulting companies, or smaller brokerages. Just 10 years ago, there were only 46 analysts covering Amazon.

But the simplest reason is that, due to Amazon’s sheer size and complexity, the $2.3 trillion behemoth is drawing the collective brainpower of both buy-side and sell-side analysts into its orbit. If you’re a fund manager, you need to understand Amazon and the rest of Big Tech because they make up more than one-third of the entire S&P 500 Index. And, if you’re an analyst who wants to make a name for themselves, it’s a lot easier to do so writing about stocks like Amazon, Meta, or Nvidia. While it’s an obvious correlation, it’s no less true: big stocks tend to get more attention.

Correlation between stock size and analyst coverage
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Now that we have stocks that are bigger than ever before, with eight companies over the $1 trillion market-cap threshold, it follows that analyst coverage remains incredibly concentrated on those names.

Indeed, Big Tech equities are the serious outliers, with their 50-plus analysts. The typical stock in the S&P 500 Index has just 23 analysts maintaining recommendations and forecasts on it, per FactSet data. Another outlier, Berkshire Hathaway, has just six analysts, because as a conglomerate, buying Berkshire Hathaway is really like buying a portfolio of other stocks and companies, plus a boatload of cash. (See: “So you invested in Berkshire Hathaway: What did you buy?”)

With 73 eyeballs on Amazon stock, and this many people analyzing the same amount of information, surely we should end up with a wonderful diversity of opinions? That, however, is not the case.

What’s most remarkable about the recommendations of these analysts is that they are almost all the same.

Of the 73 who cover Amazon, a whopping 69 — or some 95% — of them have positive recommendations on the stock, i.e. that you should buy (or be “overweight,” relative to a benchmark portfolio) the security. Out of the remaining analysts, three have a neutral view, and just one has an outright “sell” recommendation. The story isn’t that different for the rest of the BATMMAAN stocks either, Tesla aside.

Indeed, it turns out that a majority of the experts tend to subscribe to one overarching idea: that the eight Big Tech stocks, which drove so much of the market’s return last year, will (mostly) keep crushing it in 2025.

BATMMAAN stock coverage
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According to FactSet data, 95% of analysts covering Microsoft and Amazon, respectively, offer positive ratings for the two stocks — marking the companies with “overweight” or “buy” ratings — while 92% give the same judgement on Nvidia and 86% say the same for Broadcom. Meta has two analysts with “sell” ratings, Apple has four, and Tesla has a whopping 14, which is perhaps a reflection of the stock’s growing disconnect with the company’s fundamentals — a fact that some analysts think just doesn’t matter.

Why do we get this herding effect? I’ll summarize a few potential reasons that have been posited over the years, none of which are particularly satisfactory on their own.

  • The analysts are stupid. 

    • There’s certainly some truth to this some of the time (I have had many ideas about markets that have been very, very wrong), but it’s not a compelling argument in aggregate.

  • The analysts are smart.

    • Stocks usually go up. Ergo, if you were an alien who knew nothing else about markets and you got a job at fictional bank Citi Morgan Sachs as an analyst, your default recommendation would probably be: buy.

  • It’s in our nature to herd.

    • Study after study shows that we humans find it very hard to come up with original ideas when everyone has the same opinion or views things the same way. See: conformity experiments.

  • It’s in our nature to fear embarrassment.

    • Being loud and right is great work if you can get it — but being loud and wrong, when everyone else was saying the opposite, is a gamble many are not willing to take. Even if you have a different view, voicing it loudly can feel risky.

  • It’s not in the financial interests of the company that pays them.

    • This one stretches the practical limit of our regulations. By the letter of the law, banking and research departments shouldn’t know what the other one is working on anymore. However, research analysts know how their bread is buttered — if they have a huge red SELL sign hanging on a stock, it makes the jobs of their rainmaking banker colleagues trickier. Saying to the CEO of a company, “Hey, you should let us advise you on that huge merger you’re doing for fat fees,” is an uncomfortable pitch to make when someone else at your bank is saying that the company’s stock is about to tank.

  • The companies they cover will be mad at them.

    • Related to the one above, after you tell everyone you hate the stock, don’t expect the CEO to swan into your conference and shake your hand. In rare cases they will even threaten, or take, legal action. Some analysts build reputations on things as straightforward as corporate access (throwing great conferences, giving “market color” after an analyst breakfast, and simply being experts on the mechanics of the businesses they cover), which can be threatened by pissing off the companies they cover.

Throw all of those biases into a blender — and I’m sure many others that I’ve missed — and what do we get? We get 73 experts with an opinion on Amazon’s stock, 69 of which say: buy.

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Data center trade deep in the red

The data center trade is seeing its steepest sell-off since the market rout that was ignited by President Donald Trump’s Rose Garden tariff announcement back in April.

Goldman Sachs’ themed basket of AI data center shares was down more than 6% at around 12 p.m. ET, putting it on track for its worst day since the tariff announcement.

Losses hammered seemingly every form of input needed for the sprawling concrete server warehouses at the heart of the investment boom.

Hardware makers including data storage companies like Sandisk, Western Digital, and Seagate Technology Holdings, as well as DRAM maker Micron — some of the best-performing stocks in the S&P 500 this year — were taking a licking, as were networking stocks Cisco and Arista Networks and data center builders such as Vertiv Holdings and electrical and mechanical contractor Emcor.

Optimism for all things AI has seemed to evaporate throughout the week, as the stock market greeted lackluster quarterly numbers from Oracle and Broadcom with jittery sell-offs and concern about growing debts that could crater cash flows.

Those worries seem to be spreading to ancillary beneficiaries of the AI boom on Friday, gouging a chunk out of charts that retail dip buyers have not — at least so far — stepped in to buy as we head into the weekend.

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Oracle denies Bloomberg report that it’s delaying some data centers for OpenAI to 2028 from 2027

Getting a multi-hundred-billion-dollar backlog for cloud computing revenues from data center projects is easy. Building them is hard.

Oracle extended declines to as much as -6.5% on the day on the heels of a Bloomberg report that the cloud giant has pushed back the completion dates for some of the data centers it’s building for OpenAI to 2028 from 2027, citing people familiar with the work. Oracle denied this report, telling Reuters that there have been no delays to any sites required to meet our contractual commitments and that all milestones remain on track.

Shares had fully pared their report-induced drop ahead of Oracle’s reply, but remain in the red for the day.

Bloomberg said the reported postponement was attributed to labor and material shortages.

Oracle has been spending more on capex than Wall Street had anticipated, leading to higher-than-expected cash burn. Management boosted its full-year capital spending plans by $15 billion after reporting Q2 results earlier this week.

Oracle’s cloud infrastructure sales came in short of estimates in its fiscal 2026 Q2, a signal that markets already had reason to doubt its ability to quickly turn its humungous RPO (that is, remaining purchase obligations) into revenues.

Traders also seem to be of the mind that potential delays to data center completions are going to limit sales for what goes into them.

Some of the bigger losers since the Bloomberg headline hit the wires include:

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Broadcom’s post-earnings tumble is weighing on Google’s entire AI ecosystem

Broadcom’s post-earnings plunge is prompting a sharp pullback in Google-linked AI stocks, which had been on fire thanks to the warm reception to Gemini 3.

The stocks getting hit hard:

A basket of these Google-linked AI stocks compiled by Morgan Stanley is suffering one of its worst losses of the year. This brisk retreat also follows the release of GPT-5.2 by OpenAI.

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Citi initiates coverage of Planet Labs with “buy” rating

Planet Labs was up after aerospace and defense analysts at Citi initiated coverage with a “buy/high risk” rating and $19 price target.

The stock is up more than 40% this week, after a strong earnings result that spotlighted the company’s growing opportunity in linking its core business of capturing daily images of the planet with AI technologies.

Citi analysts noted the potential for a positive flywheel effect for Planet Labs as it deepens its focus on integrating AI into its offerings:

“AI is accelerating the conversion of pixels to decisions, where Planet’s daily scan and deep archive offer a uniquely large training corpus and broad-area foundation for automation. AI-enabled solutions (MDA/GMS/AMS) are gaining traction with customers such as NATO and the U.S. DoW, validating the approach of integrating AI into broad-area monitoring products... These AI moves create a compounding advantage: more coverage generates more training data, which improves models, which in turn increases product utility and addressable demand.”

The stock has also caught the attention of some of the retail trading crowd, with call options activity spiking on Thursday as traders rode the market reaction to the results.

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After a good night’s rest, investors decide they liked Rivian’s AI Day event, sending the stock surging

Wall Street didn’t seem to care very much about Rivian’s AI news when it dropped yesterday, but today is a new day.

Shares of the EV maker are up more than 16% on Friday morning, with call volumes already at about 70% of their 20-day average just 20 minutes into the trading session. The price action propelled Rivian stock to its highest level since January 2024.

Following Rivian’s Thursday event, in which it said it would replace Nvidia chips with its own and hinted at a robotaxi plan, Needham & Co. sharply hiked its price target on the company from $14 to $23. Analyst Chris Pierce wrote that the AI event “strengthened [Needham’s] conviction in RIVN’s longer term autonomy roadmap and points of differentiation vs legacy OEMs.”

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