One. Course Details
This is a collaborative webinar hosted by the Stanford Doerr School of Sustainability and the World Business Council for Sustainable Development (WBCSD) as a preview of their flagship executive education program. The session features a fireside chat between two leading experts: Jeff Wong, former Global Chief Innovation Officer at EY and current Stanford lecturer, and Professor Mike Lepic, CL Peek Class of 1906 Professor in the School of Engineering and Doerr School of Sustainability, and Director of the Stanford Center for Sustainable Development and Global Competitiveness.
Designed for senior executives, board directors, sustainability leaders, and innovation managers, the presentation explores how traditional enterprises can drive innovation and sustainable growth in the age of AI. It combines real-world insights from EY's $350 million annual innovation program, practical management frameworks, and actionable strategies for aligning innovation with business and sustainability goals. The session concludes with a preview of the Stanford Leadership Experience: Science, Innovation, and Resilience executive program.
Two. Key Learning Takeaways
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The core challenge for established companies today is not inability to adapt, but inability to adapt at the accelerating speed of change, with the average tenure of S&P 500 companies shrinking from 33 years to just over a decade.
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Successful enterprise AI innovation relies on two foundational principles: hands-on leadership engagement (executives must personally use AI tools rather than discussing them only in theory) and venture capital-style portfolio management (diversify investments, double down on winners, and cull underperforming projects).
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Large corporations hold unique innovation advantages over startups: proprietary customer data, established global distribution networks, and deep industry expertise, enabling significantly higher return on investment (EY achieved $6.50 in revenue for every $1 invested in innovation).
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Sustainable innovation requires measurable value delivery: innovation initiatives must be tied to revenue, profit, or clear strategic value to secure ongoing funding and organizational buy-in.
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Cultural transformation is the foundation of long-term innovation success, driven by consistent senior leadership messaging, celebration of innovation success stories, and alignment of rewards and promotions with innovative behavior.
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Innovation and sustainability share striking parallels: both require CEO-level long-term sponsorship, both risk becoming empty marketing buzzwords without tangible execution, and both create durable competitive advantages for forward-thinking companies.
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Most enterprise AI implementations fail not due to technical limitations, but because organizations over-restrict tool functionality, demand unrealistic 100% accuracy, and ignore how employees actually use AI in their daily work.
Three. Course Gold Quotes
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"When we put together our access to data with our trusted relationships, we can transform companies and entire industries. Our ability to have an impact on the working world and our opportunity to change how we work is remarkable." – Jeff Wong
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"The challenge today is how fast things are changing. It isn't that companies can't adapt. It's that they can't adapt at the speed at which the world is moving today." – Jeff Wong
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"Culture is the stories we tell and the heroes we hold high." – Former eBay President (cited by Jeff Wong)
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"Innovation has to relate to revenues and earnings. It's okay if it doesn't work this year or next year, but in the end, if we are not focused on revenues and profits, we can't expand our budget or prove our worth." – Jeff Wong
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"The magic of innovation at enterprises is that you have access to customers, expertise, and data that venture capitalists will never have. If you take advantage of it, the risk-reward is exceptional." – Jeff Wong
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"Everybody wants you to change their neighbor. Nobody wants you to change them." – Jeff Wong
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"Sustainability can't just be better marketing. If it's just better marketing, it'll die within your organization." – Jeff Wong
Four. Layered Learning Notes
Module 1: Innovation Management for Established Enterprises
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Evolution of EY's Innovation Function:
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Started with a $3 million annual global budget (seen as a "cute bunny in the corner")
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Grew to $100 million global budget plus $250-300 million regional investment within 7 years
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Delivered consistent 6.5:1 to 10:1 revenue return on investment
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Portfolio Management Framework:
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Adopt systematic venture capital-style investment processes
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Allocate capital across a diversified set of projects to manage risk
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Conduct regular reviews to reallocate resources from underperforming initiatives to high-potential ones
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Embrace a growth mindset: "failures" that generate actionable insights are valuable investments
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Enterprise Innovation Advantages:
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Data advantage: EY had de facto access to 60-70% of the world's ERP systems through audit and tax functions
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Distribution advantage: 14,000+ partners globally who could validate and sell new services
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Trust advantage: 100+ year brand reputation that reduces customer adoption barriers
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Module 2: Practical AI Implementation Strategies
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Leadership Imperative:
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Executives must personally use AI tools in their daily work to understand capabilities and limitations
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Mandate AI usage across teams to build organizational literacy and identify high-value use cases
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Avoid the trap of delegating AI strategy entirely to technical teams
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Balancing Data Security and Innovation:
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Sampled anonymized data is sufficient for most innovation experiments; full client datasets are rarely needed
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Update client contracts to include clear terms for anonymized data usage; most clients will accept these terms
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Implement robust internal governance to comply with global data protection regulations
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Addressing AI Implementation Failures:
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85-95% of enterprise AI deployments underperform due to organizational barriers, not technical issues
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Common pitfalls: over-restricting tool functionality, demanding 100% accuracy, and forcing top-down solutions that don't match user needs
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Employees are already using consumer AI tools effectively; organizations should embrace and guide this usage rather than prohibit it
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Generational Opportunity:
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New graduates entering the workforce are already highly proficient with AI
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Organizations should update processes and tools to leverage this generational advantage rather than forcing outdated workflows
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Module 3: Integrating Innovation and Sustainability
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Parallel Challenges and Opportunities:
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Both innovation and sustainability suffer from the "everyone loves the idea but resists personal change" syndrome
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Both require long-term investment horizons that conflict with quarterly earnings pressures
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Both create significant strategic value when embedded into core business operations
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Sustainable Innovation Investment Logic:
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Include sustainability-focused projects in your innovation portfolio
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Prioritize initiatives that deliver both environmental benefits and financial returns
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Examples: small language models, energy-efficient chips, and advanced cooling technologies that reduce AI infrastructure costs while lowering carbon footprints
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Regulatory and Competitive Advantages:
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Early investment in sustainability capabilities creates a moat as regulations tighten
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Companies with mature sustainability practices will have lower costs and better access to capital in the future
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Module 4: Leadership and Cultural Transformation
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Critical Role of CEO Sponsorship:
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Innovation and sustainability cannot be successfully driven from middle management alone
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CEOs and board chairs are the only leaders with the authority and long-term perspective to protect these initiatives from short-term pressures
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Jeff Wong's 9-year tenure as innovation leader (vs. the typical 18 months) was entirely due to consistent CEO support
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Driving Cultural Change:
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Consistent senior leadership messaging: Jeff presented at every global partner meeting for 7 years
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Celebrate and reward innovation successes to create heroes and role models
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Align performance management and promotion criteria to encourage innovative behavior
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Innovation Leader Mindset:
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Accept that you will never have 100% organizational alignment; focus on building enough momentum to move forward
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Be comfortable with constructive conflict; change will always create resistance
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Deliver consistent, measurable results to build credibility and secure ongoing support
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Wishing you every success in driving innovation and sustainability within your organizations. May you leverage the power of AI and portfolio management to create lasting value for your stakeholders and build a more resilient, prosperous future for all. Remember that the most transformative change starts with bold leadership, a willingness to experiment, and a commitment to delivering real, measurable results.


