Riding AI Waves: Agentic AI, Open Source Tools, & AI Adoption Challenges

The video offers a valuable and accessible perspective on AI adoption, using the surfing analogy to make complex concepts relatable. The speaker, Grant Miller, is an IBM expert, which lends credibility, and the content is well-structured, progressing logically from historical context to practical advice. The historical overview of technology waves, referencing Schumpeter’s concept of creative destruction, provides a solid foundation for understanding the current AI surge. The breakdown of AI into sub-waves (generative, conversational, agentic, physical) is a useful framework, though it oversimplifies the landscape and omits other important categories like computer vision and reinforcement learning. The adoption challenges identified—starting point, technology selection, data readiness, skills, timing, and organizational resistance—are all relevant and commonly cited in industry discussions. However, the video lacks empirical evidence or case studies to support these claims, relying instead on anecdotal observations and the speaker’s experience. The surfing analogies, while engaging, sometimes feel forced and may distract from the core message. The technical depth is moderate, suitable for a general audience but not for experts seeking detailed guidance. The sources cited are IBM resources, which are relevant but not independent, and the video does not engage with alternative viewpoints or potential criticisms of AI adoption. Overall, the video is a useful introductory resource for business leaders and practitioners, but it should be complemented with more rigorous, data-driven analyses. The title accurately reflects the content, and the video successfully achieves its goal of providing a high-level overview of AI adoption challenges and strategies.

The title accurately reflects the content, which covers AI waves, agentic AI, open-source tools, and adoption challenges.

7/10

The video provides a coherent and structured overview of AI adoption challenges, drawing on historical context and practical analogies. The speaker is an IBM expert, lending credibility, but the content is largely opinion-based and lacks empirical evidence or detailed technical depth. The sources cited are IBM resources, which are relevant but not independent.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 00:00Introduction to the video and the surfing analogy for navigating AI waves.
• 00:30Discussion of Schumpeter's waves of innovation and the six technology waves.
• 02:30Breakdown of the AI wave into sub-waves: generative, conversational, agentic, and physical AI.
• 05:00Introduction to AI adoption challenges, starting with knowing where to start.
• 07:00Discussion of technology selection and the build vs. buy decision.
• 09:00Emphasis on data readiness and integration with legacy systems.
• 11:00Skills required for AI adoption, including training and development.
• 13:00Timing of AI adoption and the importance of patience.
• 15:00Organizational resistance and cultural challenges in AI adoption.
• 17:00Lessons from surfing: define outcomes, be ready, look ahead, and be patient.

• IBM z/OS v3.x Administrator Certification — Mentioned as a resource for certification, likely in the context of skills development.
• The 5 biggest AI adoption challenges for 2025 — Referenced as a source for the AI adoption challenges discussed in the video.
• IBM AI Newsletter — Promoted for staying updated on AI news, relevant to the topic.

• IBM's AI adoption challenges article — The video directly references this source, which likely aligns with the challenges discussed.