Palantir, Nvidia and Booz Allen Weigh Limits on Anthropic and OpenAI Models Over Data Risk

Product / TechIndustry
โดย GuruFocus·US·Read original
Summary · why it matters

Palantir Technologies, Nvidia and Booz Allen Hamilton could restrict or stop using models from Anthropic and OpenAI unless the companies provide stronger guarantees around customer data and intellectual property, Reuters reported, citing The Information. Palantir has pushed Anthropic for irrevocable zero-data-retention guarantees before making its models available through Palantir software. Nvidia is taking a different approach, reportedly limiting Anthropic models to less sensitive work and using its own Nemotron models for some internal tasks. Booz Allen has also barred employees from using Anthropic's commercial model for proprietary cybersecurity work, as AI labs face more scrutiny over how usage logs and customer information are stored. Microsoft may have an opening, reportedly pitching isolated cloud environments and its own AI products to customers worried about data exposure.

Impact on stocks 4

Artificial Intelligence± Mixed · 4 stocks
Booz Allen Hamilton Holding
BAH
▼ NegativeSupplyrelevance

Booz Allen barred employees from using Anthropic's commercial model for proprietary cybersecurity work, restricting its AI tool supply.

Palantir Technologies Inc.
PLTR
▼ NegativeSupplyrelevance

Palantir is pushing Anthropic for irrevocable zero-data-retention guarantees before making its models available through Palantir software, a supply constraint.

NVIDIA Corporation
NVDA
▼ NegativeSupplyrelevance

Nvidia is limiting Anthropic models to less sensitive work and using its own Nemotron models for some internal tasks, restricting its AI model supply.

Microsoft Corporation
MSFT
▲ PositiveDemandrelevance

Microsoft is pitching isolated cloud environments and its own AI products to customers worried about data exposure, a potential demand opening.

Theme Impact 8

Off-coverage companies 2

AnthropicPrivate± Mixed
relevance

OpenAIPrivate± Mixed
relevance

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