AI Insider: Is the AI boom finally slowing down?

This week, money became the main character of AI. Anthropic filed to go public, OpenAI struggled to raise capital, the stock market erased trillions over bubble fears, and Europe started talking about taxing AI. The question is no longer what AI can do, but when it will make money.

I've filtered out the noise for you

The best of this week, summed up for you.

1. Anthropic is going public. Is now your chance to get in early?

Anthropic, the maker of Claude, filed its S-1 document with the SEC to list on the Nasdaq under the ticker ANT. It reported revenue of $16.3 billion in the first half of 2026 and a net accounting loss of $80.7 billion, most of it non-cash charges tied to convertible notes. Stripping those charges out, the operating loss for the half was about $693 million on $16.286 billion in revenue, meaning the business is very close to breakeven.

Link here.

2. Google just launched Gemini 4. Here's what it does, and why OpenAI should be worried

Google unveiled Gemini 4 Carbon, its most advanced model yet, with gains in coding, cybersecurity, and long-running autonomous tasks. It is Alphabet's answer to OpenAI and Anthropic on code and agents. Google Workspace users will likely get these capabilities built into tools they already pay for.

Link here.

3. Is OpenAI losing its edge in the AI race? The money says yes

OpenAI was seeking $30 billion in its new round, but according to financial outlets it has only secured commitments of about $11 billion, less than half of its target. The round values the company at $1.25 trillion, below the $1.4 trillion it had been seeking. Anthropic's move to go public overshadowed its strategy and reflects a shift in mood among investors.

Link here.

4. Is the AI bubble about to pop? Wall Street just lost over $1 trillion in a day

Stock markets fell sharply, led by tech. The Nasdaq 100 lost more than $1 trillion in a single session and piled up several trillion in losses over October. The cause was worry about the enormous spending on AI infrastructure against profits that are slow to arrive.

Link here.

5. Is Europe trying to slow down AI by taxing every answer?

France plans a tax on internet traffic generated by big platforms, and Germany is studying a similar measure focused on answers produced by AI. The idea is that those who consume and produce large volumes of data help pay for the infrastructure they use. If these proposals advance, running AI services in Europe could get much more expensive, and that cost would be passed on to businesses and users.

Link here.

Bonus: Content of the Week

Silicon Valley has led major technology breakthroughs, from the iPhone and the first chips for personal computers to Google and ChatGPT. This week's recommended content is a tour through the history of that region and why it remains the engine of global innovation.