Upon completion of this course, participants will be able to:

• Identify and categorize the primary technologies driving the next wave of disruption (e.g., Web3, Quantum, Synthetic Biology).
• Apply the Technology Hype Cycle and Technology Readiness Levels (TRL) to assess maturity and investment risk.
• Develop specific, high-value use cases for a disruptive technology within their own industry context.
• Differentiate between sustaining innovation and truly disruptive innovation (Clayton Christensen framework).
• Formulate a "Technology Watch" process for continuous monitoring of the evolving landscape.
• Design a staged adoption roadmap that minimizes risk while securing early-mover advantages.
• Understand the ethical and security implications inherent in deploying new, powerful technologies.

• Chief Technology Officers (CTOs) and Chief Innovation Officers (CIOs)
• R&D and Product Strategy Teams
• Corporate Development Specialists and Analysts
• Senior Business Unit Leaders focused on long-term growth

The methodology blends technology analysis with strategic decision-making. **Scenarios** involve applying the Innovator's Dilemma to a traditional business and developing a strategy to launch a self-disruptive unit. **Case studies** analyze the strategic pivots of companies that embraced or failed to grasp major disruptions (e.g., the transition from fixed line to mobile, or traditional retail to e-commerce). **Group activities** focus on applying the Technology Readiness Level (TRL) to an assigned emerging technology and drafting a business case. **Individual exercises** require participants to map out the next 10-year adoption curve for a chosen disruptive technology. **Syndicate discussions** debate the right time to invest in a high-risk, high-reward technology like Quantum Computing.

UNIT 1: The Dynamics of Disruptive Innovation

• Defining Disruptive vs. Sustaining Innovation (Christensen) and the Innovator's Dilemma
• Analyzing the Technology Hype Cycle and its implications for investment timing
• Techniques for horizon scanning and identifying early weak signals of change
• Mapping the diffusion curve: Identifying Tipping Points for mass adoption

UNIT 2: Deep Dive: Near-Term Disruption (Horizon 1-2)

• The strategic impact of 5G, Edge Computing, and pervasive IoT networks
• The potential of Web3, Decentralized Autonomous Organizations (DAOs), and tokenization
• Advanced Robotics, Autonomous Systems, and the new era of hyper-automation
• Synthetic Data Generation and its role in accelerating AI development

UNIT 3: Deep Dive: Long-Term Disruption (Horizon 3)

• Introduction to the principles and potential business impact of Quantum Computing
• Understanding the strategic implications of Generative AI and Large Language Models
• Exploring the future of Spatial Computing (AR/VR/MR) and the Metaverse
• Analyzing breakthroughs in Synthetic Biology and Material Science

UNIT 4: Strategic Adoption and Use Cases

• Methodologies for generating and prioritizing high-impact business use cases
• Developing a clear value proposition for disruptive tech (e.g., cost reduction, revenue increase, risk mitigation)
• Building internal technical expertise and developing core competencies
• Designing low-risk pilots and proof-of-concept projects for validation

UNIT 5: Roadmapping and Governance

• Creating a phased, multi-year technology adoption roadmap with clear decision gates
• Developing a governance structure for new technology assessment and investment
• Addressing the ethical, regulatory, and security risks of cutting-edge technology
• Strategies for external partnering and M&A targeting high-potential technology startups