Assessing AI efficiency in private equity-owned companies
Across private equity-owned companies, AI-driven efficiency is shaped less by tool choice than by operating discipline. Structural complexity, architectural clarity, and ownership determine whether AI reduces friction or adds to it. Initiatives that succeed are narrowly scoped, validated early, and embedded in existing workflows with clear accountability. Those who fail tend to scale ambition before proving impact. In this context, AI is most effective when treated as a lever for execution quality rather than a standalone transformation.
Ilie Ghiciuc - 28 Jan 2026


