Agentic AI has emerged as the leading technological trend according to McKinsey's latest report, with job postings for these roles skyrocketing by nearly 985% between 2023 and 2024. This surge reflects a growing interest in AI systems capable of performing complex tasks autonomously. Alongside this trend, the report highlights the importance of digital trust in cybersecurity, especially as organizations face new challenges from AI-enhanced cyber threats. The divide in attitudes towards AI in the workplace is significant, with non-users, particularly older adults and those in lower-paid jobs, perceiving AI as a threat to their job security, while younger, professional users view it more positively.

A recent study from Carnegie Mellon University raises concerns about the reliability of large-language model chatbots, which often become overconfident after providing incorrect answers. This overconfidence can lead to misleading interactions with users, as these AI systems fail to adjust their confidence levels after mistakes. The study involved popular chatbots like OpenAI's ChatGPT and Google's Gemini, revealing that even when these tools perform poorly, they remain unaware of their shortcomings. This issue underscores the need for responsible AI deployment, emphasizing the importance of governance and oversight in AI services.

In the realm of cybersecurity, Broadcom's VMware division is facing criticism for restricting access to essential security patches for customers with perpetual licenses who lack active support contracts. This situation raises significant concerns about the vulnerability of systems and the potential for cyberattacks. Despite promises of free access to zero-day security patches, many users report difficulties in obtaining these critical updates, leading to fears of increased risks. VMware's shift to a longer release cycle and extended support durations aims to address customer concerns, but the underlying issue of trust remains critical.

The podcast also discusses the manipulative design tactics employed by major platforms to push AI features onto users, labeling this phenomenon as "forced use." This approach raises questions about genuine consumer interest in AI tools, as many are deployed without organic demand. Additionally, the controversial case of the AI coding startup Windsurf highlights the risks associated with equity sharing in the tech industry, as a failed acquisition deal left many employees uncertain about their futures. As the landscape of AI and technology continues to evolve, the need for transparency, trust, and responsible practices becomes increasingly vital.

Three things to know today

00:00 Agentic AI on the Rise, but Overconfident Bots and Worker Fears Signal a Trust Crisis

05:38 Broadcom’s VMware Shift Raises Alarms: Patch Access Locked Behind Subscriptions, Trust Erodes

08:36 From Forced Features to Fumbled Equity: The Growing Backlash Against AI Hype and Misaligned Incentives

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