Research, Innovation, Invention, and AI
The purpose of research is simple—investigate, develop, validate, and or even challenge existing ideas. It’s about finding better ways to understand and solve problems. In many cases, it even leads to real-world implementation of new approaches.
Before I completed my PhD, I often heard people make sweeping statements about its value.
Many saw it as purely academic, detached from industry realities. But this view was limited. The data tells a different story—more PhD holders are entering industry than ever before. AI-driven innovation has only accelerated this shift. Companies are investing in research labs, building R&D teams, and many of the most successful ventures are led by PhDs.
What my PhD taught me is that there’s no single way to view the world. Everything depends on perspective, evidence, and structured thinking. This mindset isn’t just useful in academia—it’s a game-changer in business.
Working in procurement, supply chain, and digital transformation, I see this every day. Research isn’t just about publishing papers. It’s about solving problems, making informed decisions, and avoiding costly mistakes. A well-structured research process can be the difference between a failed strategy and a breakthrough innovation.
AI has only reinforced the need for deep thinking and structured inquiry. While AI can process vast amounts of data, it still requires human intelligence to ask the right questions, interpret findings, and drive meaningful change. The most impactful professionals today are those who combine AI with strong research skills.
The PhD is evolving. The future belongs to those who can think critically, apply research to real-world challenges, and harness AI to drive innovation.

The Strategic Alignment of Procurement and Commercial Functions
NatQuest SCM Genius Team – 2nd April 2025 Organisations face increasing pressure to manage value, cost, and risk across extended