What happens when the world’s most powerful technology evolves faster than anything in human history? In this episode, we break down the landmark BOND May 2025 report on artificial intelligence trends—featuring explosive data, real-world examples, and forward-looking analysis.

We unpack why AI adoption is outpacing the internet, how tech giants and startups are burning billions to win the global AI arms race, and what it means when ChatGPT reaches 800M weekly users in under two years.

Discover the compounding effects of AI—from language models to autonomous systems, and from digital infrastructure to geopolitics. We connect the dots across compute costs, open-source models, China’s rapid rise, and how AI is fundamentally rewriting the rules of work, creativity, and competition.

If you're a business leader, technologist, investor, or just trying to stay ahead of the AI curve—this episode delivers critical insights in plain language, with smart metaphors, strategic framing, and predictions that might just reshape your worldview.

🔎 Topics we cover:

• AI usage & CapEx growth: Why the curves are bending up-and-right

• The convergence of geopolitics and AI innovation

• Why ChatGPT’s growth dwarfs Google’s early years

• Risks and opportunities in the AI monetization race

• The “AI factories” behind the scenes (with NVIDIA, Google, Amazon)

• What the future of work, healthcare, and creativity may look like in 2030

• And... why “statistically, the world doesn’t end that often” (a quote you won’t forget)

In this episode, we explore a pivotal shift in AI: the transition from data trained on human examples to systems that learn from real-world experience. Inspired by the paper “Welcome to the Era of Experience” by David Silver and Richard S. Sutton, we dive into why imitation-based AI like LLMs is reaching its limits—and how reinforcement learning and autonomous agents are set to surpass human knowledge. Discover how experiential learning could power breakthroughs in science, education, and health, and what it means for safety, planning, and human-AI alignment. If you're curious about the next frontier of AI, this episode is your guide.

In this episode, we unpack Google DeepMind’s influential position paper outlining a new framework for defining and tracking the development of Artificial General Intelligence (AGI). The authors propose a leveled ontology of AGI based on performance and generality, offering a shared language for assessing AI capabilities, risks, and progress. We explore why defining AGI through a staged matrix matters, how current systems like ChatGPT fit into the "Emerging AGI" category, and what it means for policymakers, researchers, and society. Tune in to learn how this framework shapes the future of AI safety, risk assessment, and human-AI collaboration.

In this episode, we dive deep into Google DeepMind’s cutting-edge roadmap for ensuring the safe development of Artificial General Intelligence (AGI). Based on their April 2025 technical paper, we unpack how DeepMind plans to prevent severe risks—like misuse and misalignment—by building multi-layered safeguards, from model-level oversight to system-level monitoring. We explore the four major AGI risk categories, real-world examples, mitigation strategies like red teaming and capability suppression, and how interpretability and robust training play a crucial role in future-proofing AI. Whether you're an AI researcher, policymaker, or tech enthusiast, this is your essential guide to understanding how leading scientists are engineering AGI that benefits, rather than threatens, humanity.

Dive into the transformative world of artificial intelligence (AI) with this must-listen podcast for CEOs, CIOs, and CTOs. We unpack the latest insights from cutting-edge reports, including a ClearML/AIIA survey exposing the hidden costs and unexpected challenges of Generative AI adoption—revealing why the financial reality often falls short of the hype. A BCG study shines a spotlight on AI "leaders," the trailblazing companies that have cracked the code to scaling AI for real, measurable business outcomes, and shares the strategies that set them apart. We’ll also explore a multi-sector survey on AI’s growing importance, its workforce implications, and how it’s reshaping industries worldwide. Plus, discover practical approaches to calculating AI’s ROI in Human Resources and hear why increased AI investment is fueling sharper decision-making, greater market share, and breakthrough innovation—though patience is key for payoff. Packed with data-driven insights and actionable takeaways, this episode equips C-suite leaders to navigate the AI landscape, optimize returns, and lead their organizations into the future.

Generative AI offers exceptional opportunities for insurers to reinvent themselves and deliver enhanced value. This podcast explores real-world AI applications in marketing, underwriting, claims, and support. Learn how to create, analyse, and govern data and content with AI, and get practical tips for a successful AI platform.

This document explores the implications of generative AI (GenAI) for organisations, focusing on the crucial role of robust content management and governance. It highlights the transformative potential of GenAI for productivity but also underscores associated risks, including data breaches, bias, and regulatory non-compliance. The text advocates for a strong AI governance framework built upon secure and well-managed content, using OpenText Content Aviator as an example of a system that integrates GenAI with content management to mitigate these risks. The importance of accurate "grounding data," prompt engineering, and context management are stressed to ensure trustworthy and accurate GenAI outputs. Finally, the emerging regulatory landscape surrounding AI is discussed, emphasising the need for compliance.

This BlackRock Investment Institute report examines the economic and investment implications of artificial intelligence (AI). It analyses AI's three-phase evolution—buildout, adoption, and transformation—projecting massive infrastructure investment and potential productivity gains but acknowledging significant uncertainties. The report compares the current AI boom to the dot-com bubble, arguing key differences exist, and suggests investment opportunities across the AI tech stack and private markets. Finally, it outlines potential risks, such as inflation from rapid adoption and regulatory challenges.

These white papers detail China's progress and challenges in artificial intelligence (AI) standardisation. The first examines AI's history, key technologies (machine learning, computer vision, natural language processing), and proposes a comprehensive standardisation framework for its burgeoning AI industry, highlighting successful applications. The second (2021 edition) focuses on the current state of AI development in China, identifying shortcomings in underlying technologies and data management, while advocating for accelerated integration with the real economy and further standardisation efforts, illustrating this with case studies of AI applications in diverse sectors.

The Zscaler ThreatLabz 2024 AI Security Report examines the rapid rise of AI/ML tool usage in enterprises, highlighting a near 600% increase in transactions between April 2023 and January 2024. The report details the top applications, industries, and countries driving this growth, alongside a significant increase in blocked transactions due to security concerns. It also explores the evolving threat landscape, focusing on AI-powered attacks like deepfakes and phishing, and the emergence of "dark chatbots." Finally, the report offers best practices for secure AI adoption and discusses current and future AI regulations in the US and EU.