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Amazon Stock Rises on Reports of Trainium Chips in Anthropic's Mythos AI Model

Amazon shares increased nearly 14% last week following a U.S.-Iran ceasefire agreement. Analysts attribute additional gains to the use of Amazon's Trainium chips in training Anthropic's Mythos AI model. The model has capabilities in identifying cybersecurity bugs, raising questions about potential misuse.

Cnbc
1 source·Apr 13, 2:15 PM(1 day ago)·2m read
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Amazon Stock Rises on Reports of Trainium Chips in Anthropic's Mythos AI ModelCnbc
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Amazon shares rose nearly 14% last week, outpacing the S&P 500's gain by a factor of almost four. S. and Iran agreed to a two-week ceasefire. Reports indicate that investor confidence in Amazon's involvement with artificial intelligence contributed to the stock's performance.

Analysts from Evercore ISI stated that the potential use of Amazon's Trainium chips to train Anthropic's new Mythos AI model drove the stock higher. Amazon stock jumped nearly 20% from March 27, the day after news of the Mythos model leaked, through Friday's close. The date aligns with the current timeline as of April 13, 2026.

Anthropic announced it was previewing the Mythos model to some users. The model demonstrated the ability to discover previously unknown bugs in cybersecurity systems. This development affected the software market last week.

Concerns Over AI Capabilities Discussions emerged regarding the implications for internet infrastructure if the model is used by hackers or individuals with malicious intent.

Anthropic has not officially confirmed the use of Amazon's Trainium chips for training Mythos. However, an Evercore ISI report suggested that Trainium hardware was involved. The report noted that another Anthropic model, Opus, was trained on Trainium, and investors may not have anticipated Mythos capabilities on the previous generation of that hardware.

Amazon Web Services CEO Matt Garman stated in an interview that all of Anthropic's current models are trained on Trainium. This interview occurred last week with CNBC.

Implications for Amazon's Technology The application of Trainium chips to Mythos serves as evidence of the chips' effectiveness.

Analysts wrote that if Trainium 2 enabled Mythos training, Amazon's offerings may exceed market expectations. They also highlighted 30-40% better price performance compared to GPU-based instances. Amazon's retail and advertising divisions have shown growth, adding to positive factors.

This situation parallels investor reactions to Alphabet following a favorable antitrust ruling last September. Alphabet shares rose more than 60% in the subsequent five months, as investors viewed it as an AI participant. Evercore ISI maintained an outperform rating on Amazon shares with a 12-month price target of $285, approximately 20% above Friday's close.

The target reflects expectations based on AI-related developments and other business segments. Further details on Anthropic's model usage may influence future stock movements.

Story Timeline

4 events
  1. Last week

    Amazon shares rose nearly 14% after U.S.-Iran ceasefire agreement.

    1 sourceCnbc
  2. March 27, 2026

    News of Anthropic's Mythos model leaked, preceding 20% stock jump through Friday.

    1 sourceCnbc
  3. Last week

    Anthropic previewed Mythos model, which identified cybersecurity bugs.

    1 sourceCnbc
  4. Monday

    Evercore ISI analysts issued note on Trainium's role in Mythos training.

    1 sourceCnbc

Potential Impact

  1. 01

    Software companies may adjust strategies due to Mythos cybersecurity findings.

  2. 02

    Increased scrutiny on AI models for malicious use potential.

  3. 03

    Amazon's stock could see further gains if Trainium usage is confirmed.

  4. 04

    Amazon's AI chip demand may rise from other developers.

  5. 05

    Investor focus shifts to Amazon's retail and ad growth alongside AI.

Transparency Panel

Sources cross-referenced1
Framing risk18/100 (low)
Confidence score65%
Synthesized bySubstrate AI (grok-4-fast-non-reasoning)
Word count368 words
PublishedApr 13, 2026, 2:15 PM
Bias signals removed3 across 2 outlets
Signal Breakdown
Loaded 1Editorializing 1Amplifying 1

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