Capgemini and AWS accelerate industrial AI adoption with secure, responsible solutions

The strategic partnership between Capgemini and AWS is revolutionising industry transformation through advanced, secure, and responsible AI and cloud solutions, accelerating innovation in sectors from automotive to energy.

As industries face unprecedented disruption, the deepening collaboration between Capgemini and Amazon Web Services (AWS) is proving pivotal in enabling intelligent, responsible, and scalable transformation for industry leaders. Far beyond basic cloud migration, this partnership empowers organisations to modernise operations, unlock new business models, and lead innovation in the emerging era of intelligent industry.

A defining example of this collaboration’s impact can be seen in the automotive sector, where Capgemini and AWS have jointly developed advanced solutions for Autonomous Mobility. AWS’s Global Partnership Executive recounted witnessing engineers use cloud-powered simulation and machine learning to safely test millions of driving scenarios rapidly, accelerating autonomous vehicle development. Such advances not only push technological boundaries but also contribute to safer, smarter roads, reinforcing the partnership’s transformational influence.

The foundation of Capgemini and AWS’s approach centres on three themes: embedding intelligence at every operational layer to enable real-time decisions and adaptive processes; prioritising trust through secure, ethical frameworks supporting data protection and compliance; and scaling programs globally to move projects from pilot phases to full production efficiently, thereby delivering measurable business outcomes.

This strategic alliance is driving innovation across manufacturing, automotive, aerospace, and energy sectors by combining Capgemini’s deep industry expertise with AWS’s scalable cloud and AI capabilities. In manufacturing, their joint solutions emphasise connected, intelligent, and sustainable factories, using edge-to-cloud orchestration, predictive maintenance, and real-time analytics to reduce downtime and enhance quality. Unlike competitors who primarily focus on narrow aspects such as IoT or automation, Capgemini and AWS offer holistic transformation across engineering, operations, and supply chain domains.

Within automotive and aerospace, their efforts accelerate autonomous driving programs through AI-driven simulations and scenario testing, significantly reducing development costs. Aerospace benefits from digital continuity solutions that convert operational data into actionable insights, supporting lifecycle cost reduction and enabling circular economy practices. Sustainability and compliance are central, reflecting Capgemini’s commitment to embedding responsible design and environmental, social, and governance (ESG) principles.

In the energy sector, real-time predictive insights optimise operations and reduce risk by enabling smart metering analytics, intelligent inspection, and product optimisation via digital twin technologies. These innovations enhance asset performance and streamline field operations while mitigating operational complexity.

Critically, Capgemini and AWS are also advancing the enterprise adoption of generative AI technologies. Moving beyond experimental phases, their multi-year strategic collaboration focuses on scaling AI from pilots to production across organisations of varying sizes. Leveraging Capgemini’s network of AWS Centers of Excellence and Amazon’s foundation models, such as Amazon Titan, the partnership facilitates secure and high-performing AI capabilities tailored to industry needs. Solutions include intelligent inspection, sustainability analytics, and personalised customer engagement, with responsible AI embedded throughout to ensure ethical, explainable, and compliant AI deployment.

Security remains a cornerstone of their joint transformation efforts. With increasing cyber threats and regulatory demands, they prioritise zero trust cloud migration and integrated security frameworks suitable for highly regulated industries. Capgemini’s offerings include sovereign cloud capabilities and industry-specific security structures, enabling organisations to innovate confidently without compromising security or compliance.

What distinctly sets Capgemini apart is its unique blend of industry depth, engineering competence, and responsible innovation ethos. The company’s Responsible AI Leadership ensures governance and ethics underpin every AI deployment. Their scale and speed in delivering solutions are enhanced by global co-creation through Accelerators and Applied Innovation Exchanges, which facilitate rapid prototyping and rollout. Sustainability remains a core principle, driving ESG outcomes alongside digital transformation efforts.

This partnership’s impact is transformative rather than incremental. By combining Capgemini’s expertise with AWS’s cloud and AI leadership, organisations can accelerate innovation cycles, strengthen operational resilience, reduce total cost of ownership, and improve customer experience, all with solutions tailored to industry-specific challenges. Crucially, the pathway from concept to production is measured in months, not years, illustrating the collaboration’s efficiency and scale.

Capgemini’s wider commitment to generative AI is underscored by its expanded multi-year agreement with AWS to accelerate AI adoption across industries. This reflects a strategic push to embed AI at enterprise scale, further supported by the company’s investments in employee training and Centres of Excellence. At the same time, Capgemini has broadened its AI ecosystem through partnerships with other tech giants like Google Cloud and Mistral AI for delivering agentic AI and generative AI-powered solutions in regulated industries, respectively, highlighting a multifaceted approach to AI innovation.

However, Capgemini’s CEO Aiman Ezzat has voiced concerns about regulatory environments, particularly the European Union’s comprehensive AI regulations, which he described as posing challenges for innovation due to their breadth and lack of global standardisation. This dialogue on regulation reflects ongoing tensions between fostering technological advancement and ensuring ethical AI use within complex legal frameworks.

Financially, Capgemini’s strategic focus on AI and cloud innovation is reflected in its upward revision of 2025 revenue growth forecasts, driven by strong demand for AI-driven solutions, particularly in the large North American market. This reinforces the commercial viability and market confidence in their transformation offerings.

As AWS re:Invent 2025 approaches, Capgemini and AWS invite industry leaders to explore how their partnership is translating ambitious visions into enterprise-scale realities, offering pathways to intelligent industry transformation grounded in security, scalability, and ethical AI practices.

📌 Reference Map:

• ^[1] Capgemini Insights – Paragraphs 1 to 14
• ^[2] Capgemini Press Release – Paragraph 15
• ^[3] GlobeNewswire – Paragraph 16
• ^[4] GlobeNewswire – Paragraph 16
• ^[5] Reuters – Paragraph 17
• ^[6] Capgemini Annual Report – Paragraph 15
• ^[7] Reuters – Paragraph 16

Source: Fuse Wire