Amgen logo

Amgen AI Adoption Tracker

Last updated: August 9, 2026

4.0 Excellent

Overview

Amgen has positioned itself as a leader in biotechnology AI transformation, leveraging artificial intelligence across drug discovery, clinical development, and manufacturing operations [1]. The company describes this as a 'hinge moment' where technology and biotechnology converge to revolutionize medicine development [2]. Under the leadership of Chief Technology Officer David Reese and Senior Vice President of AI and Data Sean Bruich, Amgen has implemented comprehensive AI initiatives including the ATOMIC platform for clinical trial optimization, generative biology partnerships with companies like Generate Biomedicines, and advanced computational infrastructure including the Freyja supercomputer at deCODE genetics [3][4]. These efforts span from administrative productivity tools like Microsoft Copilot adopted by 20,000 employees to sophisticated protein design using NVIDIA's BioNeMo platform [5].

AI Maturity Index

4.0 /5 Leader

Evidence high

  • AI deployed across drug discovery, clinical trials, and manufacturing with 20,000 employee access [corporate]
  • Multiple major AI partnerships including $1.9B Generate Biomedicines deal and NVIDIA collaboration [news]

Missing Evidence

  • Specific AI hiring metrics beyond leadership appointments

Evidence high

  • Appointed first CTO David Reese focused on AI transformation with Sean Bruich as AI SVP [news]
  • Established AI Governance Council following NIST Trustworthy AI framework [corporate]

Missing Evidence

  • Company-wide AI training program details

Evidence high

  • 3x faster clinical trial enrollment at ATOMIC-ranked sites [corporate]
  • 3x increase in protein engineering speed through generative biology platform [corporate]

Missing Evidence

  • Direct financial ROI metrics from AI initiatives

Radar Comparison

Company Sector Avg

Peer Comparison: Amgen vs healthcare

Based on 66 companies in sector

Dimension Amgen Sector Avg Diff
Adoption 4.0 3.7 +0.3
Proficiency 4.0 3.5 +0.5
Impact 4.0 3.6 +0.4
Overall 4.0 3.6 +0.4

Key Metrics

3x faster enrollment at ATOMIC-ranked sites
Clinical Trial Enrollment Speed
Source: https://www.amgen.com/stories/2025/04/follow-the-data
20,000 employees with Microsoft Copilot access
Employee AI Access
Source: https://www.amgen.com/stories/2024/05/from-the-office-to-the-lab-amgen-uses-ai-tools-to-unlock-innovation
200 petabytes of deidentified human data at deCODE genetics
Data Processing Capability
Source: https://www.amgen.com/stories/2024/05/from-the-office-to-the-lab-amgen-uses-ai-tools-to-unlock-innovation
6
AI Initiatives
Source: Larridin Analysis

AI Initiatives

1

AMPLIFY Protein Language Model

December 2025

Active

AI-powered protein language model developed with Mila Institute

Open-source protein language model that uses sequence to predict function, enabling faster protein design and making advanced protein design more accessible to scientists

2

ATOMIC Platform

2025

Pilot

Machine learning model for clinical trial site selection and optimization

Analytical Trial Optimization Module that analyzes extensive data to predict optimal clinical trial sites, resulting in 3x faster enrollment at highly ranked sites according to internal analysis

Machine Learning
3

NVIDIA BioNeMo Collaboration

January 2024

Active

Partnership to build generative AI models for drug discovery using Freyja supercomputer

Deployment of NVIDIA DGX SuperPOD supercomputer named Freyja at deCODE genetics in Iceland to analyze extensive human datasets for drug targets and biomarker discovery

4

Microsoft Copilot Enterprise Deployment

2024

Active

Company-wide deployment of generative AI productivity tools

Early adoption of Microsoft Copilot by 20,000 employees to streamline administrative tasks and enhance productivity across all operational levels

5

AWS Generative AI Manufacturing Solutions

November 2023

Active

Expansion of AWS partnership to create AI-based manufacturing solutions

Collaboration to develop generative AI solutions for drug manufacturing, including connected digital platform using Amazon SageMaker for real-time data analysis and predictive maintenance

Frequently Asked Questions

Amgen uses AI across multiple stages of drug discovery, including generative biology for protein design, the ATOMIC platform for clinical trial optimization, and partnerships with companies like Generate Biomedicines and NVIDIA to accelerate molecule discovery and development timelines.

ATOMIC (Analytical Trial Optimization Module) is a machine learning model that analyzes extensive data to predict optimal clinical trial sites, resulting in 3x faster enrollment at highly ranked sites and helping to diversify clinical trial populations.

Amgen has deployed AI tools to approximately 20,000 employees, primarily through Microsoft Copilot for productivity enhancement, making it one of the early enterprise adopters of generative AI at scale.

Amgen's partnership with Generate Biomedicines has a potential transaction value of $1.9 billion, covering up to 10 programs for AI-powered protein therapeutics discovery across multiple therapeutic areas.

Amgen has established an AI Governance Council and follows the NIST Trustworthy AI framework with seven key principles including safety, security, explainability, privacy enhancement, fairness, accountability, and reliability.

In Application

ApplicationVendorUse Case
Microsoft CopilotMicrosoftProductivity enhancement across administrative tasks for 20,000 employees
NVIDIA BioNeMoNVIDIAProtein language model training and biologics discovery acceleration
Amazon SageMakerAmazon Web ServicesMachine learning model development for manufacturing and clinical analytics
ChatGPT EnterpriseOpenAIAdvanced generative AI workflows across biotechnology applications

Sources

Related Companies

About AI Tracker

AI Tracker is a research project by Larridin, the AI execution intelligence platform.

Methodology: We analyze earnings calls, press releases, partnership announcements, and product documentation. All assessments are based solely on publicly available information—no private customer data is used.

Maturity Scoring: Each dimension is rated on a 4-tier scale (Nascent → Emerging → Scaling → Leading) based on evidence from public sources. Industry averages are computed as the median across all tracked companies in the sector.

Update cadence: Every 2-3 weeks
Last updated: August 9, 2026