AI, Evolution, and the Future of Human-Centered Farming and Manufacturing - with Kun He of Bayer

2026-07-07 · Source: The AI in Business Podcast · Field: Business & Management — Corporate Strategy & Leadership, Human Resources & Workforce Development, Operations & Process Management · Depth: Intermediate, extended

Summary

Kun He, Lead Scientific Advisor at Bayer, discusses the evolving role of AI in agriculture and manufacturing, highlighting the critical balance between data-driven efficiency and indispensable human judgment. He emphasizes that while AI significantly accelerates complex operational workflows, such as Bayer's AI-enabled breeding using genotyping and phenotyping data, it cannot replace human intuition for high-risk, high-reward decisions. He cites examples like Norman Borlaug's dwarf wheat and Bayer's "moonshot products" to illustrate how breakthrough innovations often stem from unconventional choices and a willingness to embrace risk, which predictive models alone would not surface. The conversation underscores that AI serves as a powerful tool to empower human decision-makers, not to replace them, particularly in recognizing outlier opportunities and navigating uncertainty.

Key takeaway

For manufacturing and agriculture leaders navigating AI integration, recognize that while AI optimizes efficiency in established processes, your role in fostering human intuition and risk tolerance remains paramount. Empower your teams to use AI for informed decisions, but actively preserve the capacity for unconventional, "gut-driven" choices that lead to true breakthroughs, like Bayer's investment in "moonshot products." This balanced approach mitigates the false confidence of purely predictive systems and embraces the unknown for transformative growth.

Key insights

AI enhances efficiency, but human intuition and risk-taking drive breakthrough innovations beyond data's scope.

Principles

• AI excels at data-driven "safest bet" decisions.
• Breakthroughs stem from unconventional human risk-taking.

Method

Bayer leverages AI for breeding by integrating genotyping, phenotyping, and sensor data to optimize hybrid variety production, making the process more efficient and faster.

In practice

• Apply AI to optimize data-rich operational workflows.
• Cultivate human intuition for "moonshot" innovation.

Topics

• AI in Agriculture
• Human-AI Collaboration
• Decision Making
• Agricultural Innovation
• Risk Management
• Bayer

Best for: Executive, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI in Business Podcast.