FPT CEO Calls for Executives to Drop Five Outdated Habits to Harness AI

Why It Matters

The guidance from FPT’s CEO underscores a shift from technology‑centric to leadership‑centric AI adoption, a pattern that could reshape how emerging markets approach digital transformation. By articulating concrete habit changes, Khoa provides a playbook that other CEOs can test, potentially accelerating AI‑driven productivity gains across the region. Moreover, treating AI as a “digital employee” reframes cost structures and talent strategies, prompting firms to rethink budgeting, performance measurement, and workforce development. If executives across Southeast Asia adopt these habits, the region could see a cascade of efficiency improvements comparable to the 30% lift reported by FPT and Cisco. This would not only narrow the productivity gap with more mature economies but also position Vietnam as a hub for AI‑enabled services, attracting foreign investment and talent.

Key Takeaways

• FPT CEO Nguyen Van Khoa identified five outdated leadership habits to discard for AI success.
• FPT reported a 30% productivity increase in select operations without adding staff.
• Cisco’s similar 30% gain came while expanding its workforce by about 5,000 employees.
• The new FPT CASAN framework maps AI maturity across five stages.
• AI is being treated as a salaried ‘digital employee’ with dedicated budgets and KPIs.

Pulse Analysis

Khoa’s recommendations arrive at a moment when many firms are still wrestling with AI pilots that never scale. By anchoring AI to leadership accountability and redefining performance metrics, FPT is moving beyond the typical “technology first” narrative. This approach aligns with a broader industry trend where CEOs are expected to act as chief data officers, directly overseeing AI governance and risk.

Historically, productivity gains from automation have been incremental, but the AI wave promises double‑digit jumps, as evidenced by the 30% uplift cited by both FPT and Cisco. The key differentiator is the shift from viewing AI as a capital project to treating it as an operational expense with ongoing evaluation—mirroring how companies manage human talent. This mindset could accelerate AI diffusion, especially in markets where labor costs are a competitive lever.

Looking ahead, the success of FPT’s token‑reward system could spark a new wave of incentive structures that blend gamification with AI adoption. If other regional players replicate the CASAN framework, we may see a rapid convergence of AI maturity levels, compressing the timeline for achieving native AI capabilities from years to months. The real test will be whether CEOs can sustain the cultural change required to keep AI initiatives aligned with business outcomes, rather than letting them become siloed experiments.