Microsoft, AWS deploy engineer armies to help crack AI

By the Editorial Team · Friday, July 3, 2026

Microsoft and Amazon Web Services are deploying thousands of AI engineers directly to client companies through new multi-billion dollar initiatives to help integrate AI technologies more effectively. This push aims to close the gap between widespread AI adoption and the lack of tangible financial benefits, addressing the urgent need for faster, more impactful AI implementation in business operations.

Microsoft and Amazon Web Services (AWS) are deploying large teams of engineers to client companies in an effort to accelerate the practical adoption of artificial intelligence (AI) technologies, which have yet to demonstrate clear profitability across many industries.

On Thursday, Microsoft unveiled the formation of Microsoft Frontier Company, a new unit supported by a $2.5 billion investment that will mobilize around 6,000 AI experts and engineers to work directly with businesses. This initiative closely follows AWS’s announcement earlier in the week of a $1 billion investment in a program called Forward Deployed Engineering. AWS’s effort similarly involves sending thousands of engineers to assist clients in implementing AI solutions effectively.

Both technology giants are addressing a growing gap between the widespread purchase of AI tools and the limited returns companies are experiencing. According to a recent study by consultancy McKinsey, by the end of 2025, nearly 90 percent of companies had adopted AI in at least one business function. However, 94 percent of those firms reported no significant financial or operational benefits from their AI investments. The report emphasized that simply providing AI tools to employees is insufficient; organizations must fundamentally transform their workflows and business models to harness AI's potential.

“The currency that the customers are always talking about right now is speed,” said Francesca Vasquez, vice president of Frontier AI Engineering and Services at AWS, underlining the importance of rapid, effective implementation.

Microsoft and AWS’s new units follow a trend set earlier this year by major AI research organizations such as OpenAI, creators of ChatGPT, and Anthropic, developer of Claude. These labs have also begun embedding engineering teams within client organizations, often collaborating with large investment firms. This approach echoes strategies employed over a decade ago by Palantir, the U.S.-based data analytics company, which dispatched experts to help deploy complex software systems.

The moves come as technology companies seek to recover substantial expenditures tied to AI research and the expansion of massive data center infrastructures. Despite strong revenue growth in its cloud business, Microsoft has faced market challenges, with its stock price dropping by nearly 25 percent since January. The company also executed workforce reductions, cutting approximately 15,000 jobs in 2025, with additional layoffs anticipated.

This article was reported by synthesizing coverage from multiple independent news outlets to present a balanced, unbiased account. Read about our editorial standards. Spotted an error? Let us know.