Microsoft’s CoreAI: Revolutionizing Software with AI-First Approach by 2025
Staff Editor Microsoft Forms New AI Engineering Group Led by Former Meta Executive
Microsoft has announced the formation of a new engineering group dedicated to artificial intelligence, named CoreAI – Platform and Tools. The tech giant has tapped Jay Parikh, former Meta engineering chief, to lead this innovative division.
The new group will consolidate Microsoft’s Dev Div and AI platform teams, along with select members from the Office of the CTO team. This strategic reorganization aims to develop a comprehensive AI platform and tools for both Microsoft and its customers.
CEO Satya Nadella has outlined an ambitious vision for the company’s AI future, predicting a significant platform shift by 2025 that will impact all application categories. Nadella emphasized the rapid pace of technological change, stating that “thirty years of change” has been “compressed into three years.”
Microsoft’s goal is to create an “AI-first app stack” that will revolutionize how developers build and utilize AI applications and tools. Azure, the company’s cloud computing service, is positioned as the foundational infrastructure for this AI initiative, supporting the AI platform and developer tools such as Azure AI Foundry, GitHub, and VS Code.
In his role as executive vice president of CoreAI – Platform and Tools, Parikh will report directly to Nadella and join Microsoft’s senior leadership team. This appointment marks the first major engineering change since Parikh’s hiring in October. Key executives reporting to Parikh include Eric Boyd, Jason Taylor, Julia Liuson, and Tim Bozarth.
The restructuring aligns the entire developer division with Microsoft’s AI initiatives. The group’s mission is to build the end-to-end Copilot & AI stack for both first-party and third-party customers. Notably, traditional Microsoft products like Visual Studio and .NET were not specifically mentioned in the new AI-focused strategy.
This bold initiative aims to transform SaaS application categories and drive custom application development through AI-driven software solutions, potentially reshaping the landscape of software development and application use across industries.
