AI in 2025: What Worked, What Failed & What’s Next in 2026

Summary

In this episode of the Project Flux podcast, James, Yoshi and John discuss the key trends and realisations from 2025 in the realm of AI, including the cultural shifts in adoption, the importance of context in implementation, and the challenges of accountability and ROI. They also make predictions for 2026, exploring the evolving dynamics between consultancy and tech companies, the regulatory landscape, and the future of robotics and AGI.

Takeaways

• 2025 was marked by a trough of disillusionment in AI.
• 95% of AI pilots or projects are failing due to cultural issues.
• AI implementation requires a cultural change, not just a tech rollout.
• Context is crucial for effective AI use in businesses.
• The lines between consultancy and tech companies are blurring.
• AI is seen as a coworker that accelerates human impact.
• Emerging risks in AI need proactive governance.
• The ROI of AI projects is often misreported due to hidden time savings.
• Skills in critical thinking and communication will be vital in 2026.
• Robotics and AGI advancements are expected to accelerate in the coming years.

Chapters

00:00 Introduction and Overview of 2025
03:05 The Trough of Disillusionment in AI
05:57 Cultural Shifts and AI Implementation Challenges
08:43 The Importance of Context in AI Usage
11:36 AI Tools and Their Evolving Landscape
14:30 Transparency and Accountability in AI
17:07 The ROI Dilemma in AI Adoption
20:08 Predictions for 2026: The Future of AI
23:56 The Evolution of AI Acquisition Strategies
27:25 The Rise of AI-Driven Startups
28:50 Transforming Revenue Models in Professional Services
30:16 The Future of Change Management in Tech
30:28 Navigating AI Regulation and Governance
33:07 Emerging Risks in AI and Human Behavior
35:55 The Path to Artificial General Intelligence (AGI)
40:13 The Future of Robotics and Humanoid Interaction
43:44 Unleash the Code 1 Second.mp3

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