All episodes

Are AI labs building sustainable businesses or exposing a deeper economic tension? In this episode of the BIG BANG Tech Report, Jens de Buhr and Alvin Wang Graylin discuss the economics behind AGI claims, the pressure around AI business models, and the question of who benefits if AI becomes core infrastructure. They examine cheaper AI use, global competition from open-source models, robotics in China, and why governance should focus on human value rather than machine ownership.

About the guests: Jens de Buhr – Founder & CEO, JDB Holding; publisher of DUP UNTERNEHMER; co-founder BIG BANG AI Festival. He connects business,...

Are we leaving behind an era defined by larger models, data centers, and valuations? In this episode of the BIG BANG Tech Report, Jens de Buhr and Alvin Wang Graylin discuss the latest developments shaping the AI industry and enterprise technology landscape. They explore OpenAI’s current challenges, the long-term AI infrastructure potential around SpaceX, and why scalable infrastructure and orchestration may become more important than individual large models.

Are we leaving the chatbot phase behind and entering the age of industrial AI? In this episode of the BIG BANG Tech Report, Jens de Buhr and Alvin Wang Graylin discuss how AI is transitioning from interfaces to production lines, healthcare, defense, capital markets and labor law. The stakes are now about who controls computing power, captures productivity gains and how societies adapt. They discuss topics such as Anthropic's momentum, Elon Musk's compute deal, Pentagon contracts, Google's focus on healthcare AI for clinicians, China's regulation-first approach to AI and new court rulings against AI-driven layoffs. Regarding Europe and Germany, Graylin...

Are we entering an AI era defined not by innovation, but by geopolitical bargaining? In the eleventh episode, Jens de Buhr and Alvin Wang Graylin map the emerging power dynamic between the U.S. and China, as well as Europe’s uncertain position within it. While Washington and Beijing negotiate chips, trade, and AI access, Europe risks becoming a rule-taker rather than a rule-maker. The discussion highlights a structural shift: AI is not just a technological race, but also a lever of economic pressure, national security, and global influence. At the same time, rapid advances in agentic AI and automation are reaching...

Are we entering an era where one person can replace entire teams?

In the tenth episode, we cut through the hype to have a real conversation about AI. AI is not only boosting productivity; it is also changing how companies operate. The Stanford Enterprise AI Playbook reveals that success hinges more on leadership, workflows, and culture than on technology. Those who rethink entire processes will be the winners. The consequences are already visible: fewer hires, pressure on middle management, and a shift from execution to judgment.

In the ninth episode of the BIG BANG TECH REPORT, Jens de Buhr and Alvin Wang Graylin explore the next AI battleground: not chatbots, but agent systems that could fundamentally reshape how work and organizations are structured.
Who will control the next layer of value creation? The conversation examines the growing competition between players like NVIDIA, Meta, and Elon Musk’s xAI—from ambitious chip infrastructure to the idea of AI agents as the operating system of a new digital economy.
Beyond the hype, the episode looks at what AI agents mean in practice: systems that execute tasks, collaborate with other agents,...

In the eighth episode of the BIG BANG TECH REPORT, Jens de Buhr and Alvin Wang Graylin discuss the technological ripple effects of the escalating tensions between the United States and Iran.

What does geopolitical conflict mean for the global tech industry? The conversation explores how disruptions in energy markets could slow the AI race, why data centers may become strategic assets in future conflicts, and how the global balance of technological power could shift in unexpected ways.

Beyond geopolitics, the episode also looks at emerging shifts inside the tech world itself—from Apple’s evolving AI strategy and the rise of...

Are we entering a winner-takes-all AI era or a systemic economic shock? In the seventh episode, Jens de Buhr and Alvin Wang Graylin argue that the real disruption is not model quality but collapsing costs. As intelligence approaches the price of electricity, AI agents shift from tools to autonomous economic actors, replacing software suites, service revenues, and white-collar workflows at scale. A viral U.S. forecast warns of a “Global Intelligence Crisis” by 2028: automation drives layoffs, demand weakens, and the cycle reinforces itself. The debate is no longer about who has the best model, but whether markets and governments can...

In the sixth episode of the BIG BANG TECH REPORT, Jens de Buhr and Alvin Wang Graylin explore the rise of AI agents as autonomous actors reshaping work, finance, and corporate strategy. They challenge the narrative of sentient AI invasion, emphasizing that current systems excel at executing human-directed tasks at unprecedented speed, but lack self-agency. The discussion examines how AI is already disrupting white-collar roles, commoditizing enterprise software, and creating security and regulatory pressures – all before reaching artificial general intelligence. At its core, the episode underscores a critical point: the transformative impact of AI depends less on intelligence itself...

In the fifth episode of the BIG BANG Tech Report, Jens de Buhr and Alvin Wang Graylin once again sit down to make sense of a rapidly shifting tech landscape. Fresh from Davos, Alvin challenges dominant beliefs about AGI, data centers, jobs, and global competition — arguing that economic disruption may arrive long before true artificial intelligence does. They discuss why trillion-dollar AI investments risk creating bubbles, why models are becoming commodities, and why cooperation matters more than winning an “AI race.” At the core of the conversation is one message: the future of AI will be decided less by...