Yahoo has tried a lot of promotional ideas over the years (Chris Hondros/Getty Images)

OLD DOG, NEW TRICKS

Yahoo is still one of the most visited websites on the planet

Now the internet OG is introducing new features to help users tackle inbox overload. Yes, AI is in the first sentence of the press release.

David Crowther

6/13/25 8:45AM

Internet brands don’t tend to live very long.

Myspace, Vine, Flickr, BuzzFeed, Napster, Bebo, Vice, Tumblr, and many more have exploded onto the scene before either fading into obsolescence, obscurity, or imploding altogether — and those are just a few of the ones you’ve heard of. Thousands more never made it beyond a domain registration and a traffic-less website.

It’s remarkable, then, that Yahoo — one of the earliest mainstream internet brands — is still alive and kicking at the ripe old age of 31, with the private-equity-owned brand this week announcing a new “catch up” feature to its email service, Yahoo Mail.

In terms of features, it’s not exactly revolutionary stuff: AI-powered summaries of your emails that give you the option to delete or keep the messages hardly represent an innovative breakthrough in digital communications. Even the marketing, which includes a collaboration with a streetwear brand to create a range of “Anti Email Email Club” tees and sweatshirts, feels very 2010s.

But, for all the criticisms you could throw at an internet dinosaur like Yahoo, it’s hard to deny its continued longevity. Its email service reportedly still has over 200 million users, and data from Similarweb finds that Yahoo.com is still the sixth-most-visited website in America.

Racking up an average of more than 1.6 billion page views from March to May, Yahoo is pulling in more site visits than ChatGPT, Wikipedia, X, LinkedIn, The New York Times, ESPN, and many other household names.

Interestingly, though, we’ve started to notice a small decline in Yahoo’s traffic, per Similarweb data. The site notched 351 million visits in the week ending May 23. That was the lowest since at least April 2024, down 13% on the average weekly figure of the past 12 months. Can Yahoo still be relevant at 40 years old? What about when it hits half a century? Only time will tell.

Related reading: ChatGPT is soaring up this leaderboard — last month Americans visited the website of the AI chatbot more than Wikipedia.

Jon Keegan3h

FT: Meta considering “tens of billions” in new capital to fund AI

Just days after Google announced a monster $85 billion upsized equity raise, the extremely profitable Meta is seeking to sell “tens of billions of dollars” in stock, according to a new report from the Financial Times.

Meta is planning on spending between $125 billion and $145 billion on AI capital expenditure this year alone.

Shares dropped more than 5% on the news.

Meta weighs big equity raising after blockbuster Google deal

Rani Molla

Meta is supercharging its subscription businesses

The free-app giant never really cared about recurring revenue. Now, it’s launching paid plans for all sorts of stuff.

Jon Keegan8h

FT: Anthropic staff helping the NSA use Mythos for offensive cyberattacks

Anthropic’s Mythos AI model was deemed too dangerous to release to the public, with the company citing its ability to orchestrate novel cyberattacks.

And that’s just what the National Security Agency is doing, with the help of Anthropic staff embedded at the agency, according to a report from the Financial Times.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

US National Security Agency using Anthropic’s Mythos for cyber attacks

Rani Molla9h

Longtime Tesla bear JPMorgan upgraded Tesla and raised its price target to $475 from $145

For more than a decade, JPMorgan was Wall Street’s most stubborn Tesla skeptic, anchored by auto analyst Ryan Brinkman’s strict focus on traditional car fundamentals and near-term delivery numbers.

But JPM recently handed coverage of the stock to a new analyst, Rajat Gupta, who is throwing that playbook out the window. In a note Friday, the firm upgraded Tesla to “neutral” from “underweight” and raised its price target 228% to $475 from $145. (The analyst consensus on FactSet is $403.) Instead of focusing on the company’s struggling vehicle business, the new analyst is orienting himself more toward Tesla’s idea of the future, now modeling Tesla’s physical AI and robotaxi fleets all the way out to the year 2040.

Here are the main reasons for the capitulation:

Looking past the car lot: Gupta argues that Tesla “is at the forefront of physical AI, entering uncharted TAMs” and therefore “deserves the benefit of the doubt to be valued on LT earnings potential” rather than near-term speed bumps.
Unmatched vertical integration: Tesla’s control over everything from battery cells to custom silicon gives it a massive moat. JPM notes this starting point advantage is “unmatched at an industrial level scale” and “still somewhat under-appreciated and misunderstood.”
The AWS flywheel effect: Deploying Optimus robots inside its own factories “should not only lower COGS for the base automotive business, but more importantly, help validate the product at an industrial scale.” Gupta called it “a classic flywheel effect, somewhat analogous to AWS and Kiva at AMZN.”

For Tesla bulls who have argued for years that this is an AI company and not a carmaker, JPM’s sudden $3.9 trillion valuation model is the ultimate validation.

Anthropic ponders self-improving AI

Anthropic says Claude already writes 80% of its code. A new post asks what happens when the models can improve themselves — and whether anyone could stop them.

Jon Keegan9h