Microsoft was initially well positioned to meet software developers with AI-enhanced tools. It owns GitHub, the most popular platform for hosting and sharing code, and GitHub’s Copilot AI-powered coding tool was released months before OpenAI’s ChatGPT debuted in 2022.

But it fumbled one of the biggest first-mover advantages in history as Anthropic’s Claude Code, OpenAI’s Codex, and Cursor rolled out coding tools that developers loved.

An in-depth report from Reuters that interviewed nine former “data labelers” and a former Tesla self-driving engineer paints a picture of highly massaged safety stats, vehicles failing to execute basic driving functions, and a behind-the-scenes reality where the supposedly “autonomous” tech relies heavily on the exact kind of localized, labor-intensive mapping and training Musk has publicly mocked. The skepticism runs so deep that one former insider told reporters they wouldn’t ride in a Robotaxi “if you f---ing paid me.”

Currently, the service is operating about 30 unsupervised vehicles across three Texas cities — a much more circumscribed execution than Musk had initially planned. The problem, for Tesla, is that the success of its Robotaxi business is now integral to the company’s value proposition.

Together, these represent Meta’s first large-scale attempt to monetize everyday consumer use of its flagship apps through subscriptions rather than relying solely on advertising.

The stock is up nearly 3% on the news.

Meta’s head of product, Naomi Gleit, said in an Instagram post that the company has “more plans on the way for creators, businesses, and Meta AI power users.”

Meta has struggled to justify its enormous AI capital expenditure to investors since it lacks the recurring cloud revenue of its peers. New subscription revenue streams could help reassure investors that Meta has additional ways to monetize its AI investments beyond advertising.

TechCrunch reported earlier this year that Meta had been testing premium subscriptions.

According to The Information’s reporting, Anthropic is close to a staggering $45 billion ARR, while OpenAI is at an estimated $33 billion ARR.

Last month, Anthropic announced that its ARR had reached $30 billion — tripling since the end of 2025. That put it ahead of OpenAI’s $24 billion ARR, which the ChatGPT maker reported at the end of March.

Then last week it was reported that OpenAI held a $1 billion lead in Q1 revenue over Anthropic.

That $45 billion ARR is a whopping 5x the $9 billion Anthropic reported at the end of 2025.

One tech job that had appeared at risk of AI replacement was cybersecurity engineer. But The New York Times reports that the role is now going through a “hiring frenzy,” and tech recruiters can’t keep up with demand for them.

One of the driving forces behind the surge in cybersecurity roles is the emergence of Anthropic’s Mythos AI model — which is being held back by the company due to its advanced cyber capabilities until companies can shore up defenses.

The demise of software engineering roles in general may have been overblown as well. According to the report, engineers are still needed to manage AI agents, which are increasingly writing the bulk of the code at Big Tech companies.

The $11.8 billion German company could be particularly vulnerable to a takeover right now, with its CEO having recently stepped down following pressure from activist investors to sell off assets. A full acquisition would give Uber a massive foothold in over 60 countries to combat DoorDash’s European-focused Wolt unit.

Uber has been involved in a lot of deal-making of late, mostly in the autonomous vehicle space, where it now has more than 30 partnerships globally.

Uber extended its losses on the news and is currently down around 1.7%.

The Wall Street Journal recently reported that Anthropic is on course to more than double its first-quarter revenue of $4.8 billion to $10.9 billion in the second quarter. It is not known what OpenAI is projecting for Q2.

Recently, The New York Times reported that Anthropic’s current fundraising round seeking to raise between $30 billion and $50 billion comes with a valuation of up to $950 billion, putting it ahead of OpenAI’s latest reported valuation of $850 billion.

After that incident, Waymo instituted an “interim remedy” to make the vehicles “exclude additional operating conditions that present an elevated risk of encountering a flooded, higherspeed roadway,” but added that it was still “developing the final remedy for this recall.”

As we’ve noted, Waymo has mostly kept its rollout — now public in 11 cities — to more temperate climates, as severe weather poses more challenges to autonomous vehicles.

But as the role of inference has shifted to a top priority, with companies focusing on actually running models to make money, they’ve started shopping around, buying chips tailored for the task, and in some cases decided to make their own.

Additionally, Anthropic has become something of a victim of its own success at rolling out products that can be quickly adopted by enterprise clients. That rapid, wide-scale adoption has revealed significant compute constraints. Anthropic is now, effectively, looking for any and all compute capacity it can find, striking deals with CoreWeave, Amazon, Google and Broadcom, and even xAI.

Amazon and Google have both seen hot demand for their custom inference chips. But Microsoft is still trying to get its custom Maia chips into the mix, after encountering delays.

If Microsoft lands Anthropic as a customer for its Azure-based Maia computing services, it could open the door for other companies seeking another option for meeting the sky-high demand for AI inference, as agentic models gobble up trillions of tokens.