AI in Business: Why Microsoft and AWS Are Disrupting the Market

It’s a summer offensive that strongly resembles an admission of urgency. Within days of each other, the two global cloud leaders rolled out heavy artillery. Amazon Web Services (AWS) fired first by announcing a $1 billion investment to create its Forward Deployed Engineering (FDE) division.

Microsoft’s reply was swift, committing $2.5 billion to launch its operational strike force, named Microsoft Frontier Company, powered by 6,000 experts.

Their mission is the same: deploy their best engineers, model designers, and security experts to physically set up in the offices of their end customers (Unilever, the London Stock Exchange, the NFL, the NBA, or Southwest Airlines) to co-develop end-to-end AI systems.

Read also: Why Microsoft Is Distancing Itself from OpenAI

This 180-degree turn is explained by mounting pressure on Wall Street. Despite robust growth in its Azure business, Microsoft’s stock has undergone significant corrections. Investors are demanding tangible profitability proof in the face of tens of billions of dollars poured into data centers each quarter.

Yet the field reality is telling. While large corporations have heavily tested AI, scaling to industrial deployment proves to be a chasm of complexity.

Data governance issues, a lack of internal skills, weak security… projects stall and subscriptions fail to deliver the promised value.

The Palantir Syndrome

To unlock the situation, Microsoft and AWS revive a strategy proven more than ten years ago by another iconic American tech player: Palantir.

The data analytics specialist made its mark with governments and multinationals by sending its own “Forward Deployed Engineers” to configure its software directly at client sites.

By adopting this model, AWS and Microsoft aim to remove friction. AWS promises to compress the timelines for deploying “agentic” AI from several months to just a few days, while guaranteeing the client’s future independence after the mission.

By mastering software integration directly, the hyperscalers ensure that the AI solutions developed are intrinsically tied to their respective infrastructures. A way to capture the client for the next decade. The AI battle is not fought only in research laboratories but also in the offices of chief financial officers.

In the French market, Informé reports that OpenAI has opened in Paris a bureau for its integrator activity named Deployment Company or DeployCo.

Announced last May, the new entity is endowed with $4 billion and counts a consortium of 19 investment firms, consulting firms, and systems integrators in its capital. Among them are three behemoths of consulting: Bain & Company, Capgemini, and McKinsey. OpenAI retains the majority.

Dawn Liphardt

Dawn Liphardt

I'm Dawn Liphardt, the founder and lead writer of this publication. With a background in philosophy and a deep interest in the social impact of technology, I started this platform to explore how innovation shapes — and sometimes disrupts — the world we live in. My work focuses on critical, human-centered storytelling at the frontier of artificial intelligence and emerging tech.