Redefining the future of IT: How Platform Engineering supercharges transformation
Fujitsu / September 12, 2025
As organizations race to adopt AI, modernize applications, and streamline operations, many remain constrained by outdated IT models, fragmented multi-cloud environments, and rigid controls. Stretched DevOps teams struggle to keep pace – resulting in missed opportunities to leverage emerging technologies and growing challenges in attracting and retaining top tech talent.
Platform Engineering (PE) with Agentic AI offers a way forward by reducing cognitive load, automating infrastructure, and delivering secure, scalable, developer-friendly platforms that accelerate cloud adoption and foster innovation.
Why now is the time for Platform Engineering?
Enterprises are struggling to innovate, held back by legacy technical debt, skills shortages, stagnant delivery performance, and mounting compliance pressures. Various regulations such as NIS2 and GDPR demand “shift left” approaches like "security by design" and "privacy by design", requirements that traditional DevOps practices were never built to support.
AI is already transforming development, unleashing creativity and automating repetitive, error-prone tasks that once slowed teams down. To harness this shift, leading organizations are turning to Platform Engineering—an evolution of DevOps that standardizes AI/ML workflows and integrates Agentic AI into self-service platforms. This allows application developers and data scientists to focus on data-driven application development while the platform team ensures robust, secure, and scalable operationalization, turning a potential burden into a streamlined process.
By shifting from “+AI” (tacking AI onto legacy workflows) to “AI+” (an AI-first operating model) with Platform Engineering, organizations can achieve rapid ROI, unlock new revenue streams, and build future-proof, resilient IT platforms.
According to Gartner (2024):
- By 2026, 80% of software engineering teams will have dedicated platform teams.
- AI-augmented tools will boost developer productivity by 30–50% across coding and bug fixing or overall development cycle time.
- By 2027, up to 50% of new application code will be generated by AI.
Backed by Fujitsu’s own field data and 2024 DORA research, the results are clear: teams that adopt Platform Engineering enjoy dramatically improved productivity and deployment reliability.
