Episode 106: Apple C1 Modem! More Intel Rumors (FUD!) Previewing Nvidia Earnings
In this episode, Ben Bajarin and Jay Goldberg discuss Apple's recent announcement of their C1 modem and the new iPhone 16E. They explore the implications of Apple's entry into modem technology, the positioning of the iPhone 16E in the market, and the potential impact on Qualcomm. The conversation also delves into the integration of modem technology within Apple's ecosystem and the future of 5G in Apple's products. In this conversation, Jay Goldberg and Ben Bajarin discuss the strategic moves of major tech companies like Apple and Broadcom, the ongoing challenges faced by Intel, and the implications of government intervention in the semiconductor industry. They also delve into the current state of the AI market, particularly focusing on Microsoft and Nvidia, and speculate on future earnings and market dynamics.
--------
42:50
Episode 105: Sanity Check on Custom ASICS?
In this episode, Ben Bajarin and Jay Goldberg delve into the ongoing debate between ASICs and GPUs in the AI compute landscape, discussing the implications for companies like NVIDIA and AMD. They explore the role of custom silicon in hyperscalers' strategies and the potential for GPUs to regain market share. The conversation then shifts to the often-overlooked world of analog semiconductors, highlighting their significance in various applications, including automotive and robotics. The hosts emphasize the need for a deeper understanding of analog technology as it becomes increasingly relevant in the evolving tech landscape.
In this episode, Ben Bajarin and Jay Goldberg discuss the recent earnings reports of Qualcomm, AMD, and Arm, analyzing the surprising market reactions and investor expectations. They delve into Qualcomm's strong quarter but puzzling stock performance, AMD's ongoing struggle to establish itself in the AI market, and Arm's critical yet underappreciated role in the AI ecosystem. The conversation highlights the shifting dynamics in technology investments and the challenges companies face in meeting heightened investor expectations. In this conversation, Ben Bajarin and Jay Goldberg discuss the complexities surrounding Arm's intellectual property (IP) and its market dynamics, the confusion in revenue metrics, and the expectations investors have regarding growth. They delve into the trends in capital expenditures (CapEx) among major tech companies and the dual nature of cloud revenue, distinguishing between traditional cloud services and emerging AI workloads. The discussion also highlights the critical role NVIDIA plays in the AI market and the challenges it faces in meeting demand.
In this episode, Ben Bajarin and Jay Goldberg discuss the latest earnings reports from major tech companies, focusing on their strategies related to AI and the semiconductor industry. They analyze Microsoft's approach to AI, Meta's success in monetizing AI, Apple's challenges in the current market, and Intel's uncertain position in the semiconductor landscape. The conversation highlights the ongoing evolution of AI and its implications for these companies' futures. In this conversation, Jay Goldberg and Ben Bajarin discuss Intel's recent earnings report, highlighting mixed results and ongoing challenges within the company. They delve into the implications of the CEO search, investor sentiment, and the strategic direction Intel must take moving forward, particularly in the context of AI and CPU innovation. The discussion emphasizes the need for a clear strategy and the importance of focusing on core competencies to navigate the competitive landscape.
--------
55:46
Episode 102: Deeeeeepseeeeeeek!
In this episode, Ben Bajarin and Jay Goldberg discuss the recent market reactions to DeepSeek's AI model, its implications for the AI landscape, and the future of AI infrastructure investments. They explore the efficiency of DeepSeek's training methods, the skepticism surrounding AI valuations, and the potential of ambient agents in AI development. The conversation highlights the complexities of AI technology and the uncertainty in predicting its future applications.