Story
Anthropic’s usage data shows where automation actually lands
The Economic Index makes the labor question more specific—and more uneven.
Company dossier · Reviewed
Anthropic
Anthropic is an ai safety and research company tracked across products, people, capital, and public commitments.
Company overview
AI safety and research company
Anthropic is an ai safety and research company tracked across products, people, capital, and public commitments.
- Headquarters
- San Francisco
- Capital
- Privately financed; DGTLPPL records only primary-source funding announcements and does not publish unsourced totals.
- Status
- active
Founders and leaders
Dario AmodeiDario Amodei is covered by DGTLPPL for work spanning frontier models and AI safety.Daniela AmodeiDaniela Amodei is covered by DGTLPPL for work spanning AI operations and responsible deployment.Jared KaplanJared Kaplan is covered by DGTLPPL for work spanning scaling laws and frontier research.
Products
Timeline
- Company record
Products, leadership, and company status are maintained from the official site and primary announcements.
Essential coverage
Story
The Bay Area’s AI geography is tightening again
Labs, capital, compute buyers, and talent are clustering even as the products become globally distributed.
Story
The AI hiring page is becoming a product roadmap
Open roles reveal where companies expect deployment to become difficult.
Story
Why the frontier lab is becoming an institution
As AI systems spread, research companies acquire the responsibilities of platforms, employers, and policy actors.
Feature
The people who decide whether an agent is ready
Evaluation teams are becoming the quiet editorial layer inside autonomous software.
Feature
San Francisco’s second AI city
The current cycle is less about a neighborhood than a network of labs, meetups, houses, and compute buyers.
Interview
Dario Amodei on the economics of powerful AI
A public-record conversation about scaling, labor, and the institutions around frontier systems.
Explainer
How are AI systems evaluated before release?
Benchmarks are only one layer in a release process that also needs scenarios, experts, and monitoring.
Research
Where people use Claude at work
A reading of Anthropic’s Economic Index, occupation by occupation.
Research
The public evidence for longer-running agents
What task duration reveals about reliability, supervision, and the changing unit of AI work.
Research
A field guide to frontier model documentation
We compared the public artifacts used to explain capability, safety, and release decisions.
Research
How AI companies describe safety
A taxonomy of public commitments across labs, infrastructure providers, and application companies.
News brief
Anthropic publishes a new Economic Index cadence
The research program is tracking how AI use changes over time.
Podcast · Signal Path
Signal Path 02: Reading the Anthropic Economic Index
What task-level usage data can—and cannot—tell us about work.
Podcast · Signal Path
Signal Path 08: San Francisco after the model race
A city shaped by labs, startup batches, conference calendars, and the infrastructure of ambition.
Film
The room where agents are reviewed
A transcript-first visual essay about traces, tests, permissions, and the decision to ship.
Profile
Dario Amodei and the institution built around scaling
Anthropic’s CEO has made capability, risk, and organizational design parts of the same public argument.