Generative AI has captured the world's attention for its power to create, accelerate, and enhance—but what happens when these same tools are misused? In this episode of the Professor Insight Podcast, we turn the spotlight to the darker side of GenAI. Drawing on a groundbreaking new paper from DeepMind titled Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data, we explore nearly 200 real-life cases where generative tools were used to deceive, defraud, and manipulate.

From deepfake impersonations and non-consensual imagery to AI-powered phishing scams and fake social media botnets, the study reveals how GenAI is being exploited in ways that are surprisingly low-tech but highly effective. These misuse tactics often require little technical skill and rely on easy-to-access tools, making them more widespread and harder to track. We break down the taxonomy of tactics and the motivations behind them, including disinformation, monetisation, harassment, and even digital resurrection. This episode is a deep dive into how misuse is already reshaping online trust and public perception. We also discuss the broader implications for AI governance, content authenticity, and digital safety.

In this episode of the Professor Insight Podcast, we explore what it really takes to build infrastructure capable of supporting generative AI at scale. Based on Google’s 2025 State of AI Infrastructure Report, this conversation cuts through the buzz to focus on the practical realities facing tech and business leaders. From adoption trends to infrastructure strategy, we look at how organizations are navigating the shift from experimentation to production.

With 98 percent of companies already working with generative AI, the urgency to get infrastructure right has never been greater. We unpack the report’s key findings, including the challenges around data governance, the growing importance of cost-efficiency, and the role of secure, scalable platforms. Hybrid cloud and edge computing are gaining momentum, and a robust AI foundation is now seen as essential for future competitiveness.

This episode covers the strategic decisions shaping enterprise AI—from managing costs and scaling models to deploying across distributed systems. We also discuss the infrastructure features most valued by leaders today, including flexibility, security, and performance. If your organization is planning for long-term AI integration, this episode highlights the groundwork needed to get there.

In this episode of the Professor Insight Podcast, we take a closer look at how generative AI is fundamentally changing the way we search for information, products, and services online. With ChatGPT rolling out new shopping features and AI search tools gaining traction, it's clear we're entering a new era of digital discovery. But what does this shift mean for the businesses, marketers, and platforms that rely on traditional search behavior to connect with customers?

We draw from Algolia’s report on How Generative AI Affects Search: A Full Stack Story, the Future of Professionals Report to explore how AI is disrupting search engine marketing, SEO strategy, and consumer habits. From voice-driven search to conversational queries and AI Overviews, this episode breaks down what’s changing, where the search volume is going, and how brands can stay relevant in a fragmented, AI-first ecosystem.

Generative AI is not only changing how people find information but also how businesses think about content strategy, advertising investments, and customer engagement. Understanding these shifts is crucial as traditional search models evolve and new opportunities emerge across both established and emerging platforms. This episode offers context and insights into how the future of search is likely to unfold.