Agentics

Blockchain investigators spent years mastering on-chain forensics. Chainalysis just made that expertise downloadable via AI.

AI agents need to hold money, spend it, and settle invoices. No one built payments for that—until now.

Palantir Q4 US commercial hit 507M, up 137%. The reason its Ontology looks like a strategic jackpot: a data layer built before LLMs existed, now the exact thing the new stack needs.

Your AI agent just bought 500 shares while you slept. The SEC isn't sure if that was legal.

IBM spent $11 billion on Confluent. Now it has to prove the data infrastructure bet was the right move — and that it can build the software layer fast enough to make it count.

You're logged into your bank. Now an AI can see that too — without asking for your password.

Five security vendors shipped agent identity frameworks at RSAC 2026. None could detect an agent rewriting its own security policy, track delegation chains, or confirm zero credentials after decommission. The NHI problem is an infrastructure problem nobody has solved yet.

Unlimited tokens sounds great until you read the asterisk — and OpenClawCloud does not tell you what the rate limit actually is.

The revenue numbers for OpenAI and Anthropic look like a blowout win for OpenAI. They are not comparable — and both companies know it.

Startups are discovering that more accurate AI sometimes means more failure, not less.

AIMultiple ran 2,000 tests on four agentic frameworks. The finding that matters: LangChain crashes on every error by default unless you wrap the tool call yourself. That is the behavior that ships when developers clone the repo.