Section

Deals

Funding rounds, acquisitions and big-money moves in AI and fintech.

Latest briefs

Today

10:20

Top story: Deals

Anthropic's IPO prospectus discloses billions in losses and an AI risk warning

Anthropic's prospectus for its planned US listing shows a 2025 operating loss of more than $8 billion against revenue that grew twelvefold to nearly $4.6 billion, with the company targeting a valuation above $2 trillion. Reuters and the Financial Times reported that the filing is the first on the SEC's database to list existential risk to humanity as a disclosed risk factor.

$8B+Anthropic's 2025 operating loss

NoteA company does not usually put existential risk in the same document as its revenue growth, so seeing Anthropic name it as a risk factor is as much a signal to the banks building on its models as it is to the investors pricing a valuation above $2 trillion.

Source: TechCrunchShare

Yesterday

10:18

Deals

Goldman sees Big Tech AI spending topping Wall Street's own estimates

Goldman Sachs strategists led by Ryan Hammond forecast Amazon, Alphabet, Microsoft, Oracle and Meta will lift AI infrastructure spending 54% to $1.2 trillion in 2027, above the Street's $1.1 trillion consensus, after an estimated $800 billion this year. The bank says the outlay would be the largest technology investment cycle relative to GDP since 19th century railroad building, and that the five companies would need roughly $300 billion a year in AI revenue to break even on it.

$1.2TGoldman's 2027 hyperscaler AI capex forecast

NoteGoldman is both a forecaster and a lender into this buildout, so a number this far above consensus is a signal the debt and equity backing hyperscaler capex has room to grow further before anyone calls it overextended.

Source: PYMNTS.comShare

Wednesday, 23 September

09:24

Deals

Snorkel AI raises $350 million at a $3.5 billion valuation

Snorkel AI raised a $350 million Series E led by Insight Partners and S32, lifting its valuation to $3.5 billion from $1.3 billion 17 months ago. The Stanford spinout now sells finished training datasets and simulated environments to AI labs and companies, and says its annualized revenue run rate is $375 million.

$3.5Bvaluation, up from $1.3B in 17 months

NoteThe money is following the scarce input. Labs have the compute, and what they can't scrape is expert-labeled data, which in finance means credit, fraud and compliance cases.

Source: TechCrunchShare