Leader from McKinsey: Can AI be powerful enough to replace us? | McKinsey & Company | EP 372

Key Concepts

• AI in Strategy: Integrating Artificial Intelligence into the strategic planning process of companies.
• Agentic AI/Agents: Autonomous AI entities capable of performing specific tasks, potentially reshaping organizational structures.
• Generative AI (GenAI): AI models capable of generating new content, used for data interpretation and communication.
• Analytical AI: Traditional AI focused on data analysis and pattern recognition.
• Competitive Advantage: Unique capabilities or data assets that differentiate a company from its competitors.
• Core Competency: A fundamental strength or ability that is difficult for competitors to replicate.
• Data Leverage: Utilizing existing, often underutilized, data to gain insights and improve strategic decision-making.
• Scenario Envisioning/Simulation: Modeling potential future scenarios to test and refine strategies.
• Data Privacy & Security: Protecting sensitive data when utilizing AI tools, particularly concerning employee information.

AI Integration into Strategic Planning: A Detailed Summary

This discussion, featuring Bruce Deltiel, Managing Partner of McKinsey & Company in Vietnam and Strategy Lead for Asia, centers on the integration of Artificial Intelligence (AI) into corporate strategic planning, specifically within the Vietnamese context. The conversation builds upon a previous podcast episode from February 2021, highlighting the evolution from discussions of “data” and “ecosystems” to the now-dominant focus on AI.

I. Initial Assessment: Leveraging Existing Data

The primary starting point for companies considering AI integration is a thorough assessment of their existing data. Deltiel emphasizes that a company’s unique data – its history of successes and failures, market entry experiences – represents a “gold mine” and a potential source of competitive advantage. If all companies have access to the same tools and public data, differentiation lies in proprietary information. The initial question isn’t what AI can do, but what data do you have that you haven’t leveraged yet? This data can be used to understand capabilities, market potential, and inform strategic direction.

II. The Role of AI in the Strategy Process

Deltiel outlines the traditional strategy process: defining a 5-year vision, analyzing competitors, market growth, potential market share, and simulating scenarios. He posits that AI can automate or support many of these areas. He identifies five key roles where AI can be applied:

1. Data Gathering & Interpretation: Collecting and understanding relevant data.
2. Thought Partnership: Challenging assumptions and providing alternative perspectives.
3. Scenario Simulation: Modeling potential outcomes and testing strategies.
4. Strategy Communication: Effectively conveying the strategy to stakeholders.
5. Direction/Vision Definition: Defining the long-term goals and objectives.

The level of investment corresponds to the extent of AI integration. Options range from minimal investment (leveraging readily available tools like ChatGPT for data summarization) to substantial investment (building custom data environments and AI-powered automation). However, Deltiel stresses that even full automation doesn’t eliminate the need for human intervention, particularly in areas requiring intuition and creativity.

III. Investment Levels & AI Tooling

Deltiel delineates three levels of investment in AI for strategy:

• Level 1 (Minimal): Utilizing readily available tools like ChatGPT or OpenAI for basic data interpretation and summarization. This requires minimal financial outlay.
• Level 2 (Intermediate): Employing more specialized tools tailored to the company’s industry and specific needs. This requires data science expertise to feed and prompt the tools effectively.
• Level 3 (Full-Blown): Building dedicated data environments and fully automating strategic processes. This is the most expensive option but offers the greatest potential for insight.

IV. The Rise of Agentic AI & Organizational Impact

A significant emerging trend is the development of “agentic AI” or “agents” – autonomous AI entities capable of performing specific tasks. Deltiel believes this will be massively disruptive, potentially redefining organizational structures. He envisions companies comprised of employees and agents, requiring a new approach to task allocation and workforce management. The ability to configure, create, and orchestrate these agents for highly specific tasks is where the true value lies.

V. Addressing Common Pitfalls & Ethical Considerations

A common pitfall is simply asking an AI model (like ChatGPT) to create a strategy without a clear understanding of the model’s limitations and the company’s unique data. Deltiel suggests this exercise can be a valuable “acid test” to reveal gaps in data and analytical capabilities.

Ethical and regulatory considerations are also crucial. These include:

• Data Copyright & Legal Compliance: Ensuring proper access and usage rights for data.
• Data Privacy: Protecting sensitive employee and customer data.
• Regulatory Frameworks: Staying abreast of evolving AI regulations in Vietnam and other relevant jurisdictions.
• Bias Mitigation: Recognizing and addressing potential biases in AI models.

VI. AI’s Impact on Vietnamese Industries

Deltiel highlights the potential of AI to enhance productivity, improve customer experience, and drive innovation in key Vietnamese industries like banking, finance, and consumer goods. Specifically, AI can improve loan underwriting in banking, personalize customer interactions, and analyze consumption patterns in consumer goods. Vietnam’s strong talent pool in data science and software engineering positions it well to leverage these opportunities.

VII. Revisiting Core Concepts & Competitive Advantage

The advent of AI is prompting a re-evaluation of traditional strategic concepts like “competitive advantage” and “core competency.” If access to tools and data becomes democratized, differentiation will rely on unique data assets, organizational agility, and intangible qualities like intuition and creativity – elements that are difficult to replicate or automate.

Notable Quote:

“If everyone has access to the same tools and everyone has access to the same data, then where is your competitive advantage?” – Bruce Deltiel

Synthesis/Conclusion:

The integration of AI into strategic planning presents significant opportunities for Vietnamese companies. However, success requires a strategic approach focused on leveraging existing data, understanding the limitations of AI, addressing ethical concerns, and fostering a culture of innovation. The rise of agentic AI promises to be particularly transformative, potentially reshaping organizational structures and redefining the nature of work. Ultimately, the companies that can effectively combine AI’s analytical power with human intuition and creativity will be best positioned to thrive in the evolving business landscape.