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Welcome to AI & Beyond, your gateway to the innovations, transforming our digital landscape! Join us as we delve into the power of artificial intelligence, digital transformation strategies, and cloud technologies.
Each episode features expert insights and compelling stories that illuminate how these advancements are reshaping our world.
Whether you're looking to enhance your career or stay ahead of tech trends, this podcast is your essential resource for understanding AI's impact. Tune in and discover the future today!

Kristina Kallas argues that AI’s rise forces a fundamental shift in education: with machines handling routine literacy and numeracy, schools must move from memorization toward higher‑order skills—analysis, creativity, and judgement. Estonia’s experiment with Socratic AI tutors illustrates a practical path: using AI to provoke reasoning and prevent “brain rot,” not to replace thinking. Kallas frames AI as a catalyst for a cognitive leap, urging curricula and teacher training that cultivate deeper mental modes needed for an AI‑augmented future.Send us Fan MailSupport the show

This episode examines the "Apple AI paradox": critics say Apple trails OpenAI and Google on powerful generative models, while supporters argue Apple’s long game is hardware and tight ecosystem integration. We unpack Apple Intelligence’s current limitations, the advantages of on‑device processing, and how Apple’s control of chips and devices could enable privacy, speed, and novel user experiences that cloud‑centric rivals can’t match. The conversation closes by asking whether a new class of AI hardware will upend the iPhone’s dominance—or whether Apple’s caution is a strategic advantage in an era of fast but risky AI innovation.Send us Fan MailSupport the show

Sam Altman reflects on his OpenAI upheaval and explains why he remains a techno‑optimist about AI’s future. He argues that while systems are already outperforming humans in tasks like diagnosis and empathy-like interactions, human connection, creativity, and moral responsibility remain vital. Altman sees AI as an accelerator - augmenting creativity and scientific progress rather than merely replacing jobs - and urges proactive regulation focused on testing and safety. The conversation balances caution about hallucinations, displacement, and existential risk with a vision of abundance driven by innovation, adaptability, and sustained leadership.Send us Fan MailSupport the show

Anthropic co-founder Jack Clark maps AI’s huge promise—and its geopolitical hazards. He explains how AI can transform education, science, and bureaucracy while also raising urgent national-security and military risks. Clark lays out the clash between developers and regulators and argues for mandated transparency, third‑party verification, and collaborative governance to manage recursive self‑improvement and rapid capability growth. This episode explores whether coordinated policy and shared safety standards can steer AI toward widespread prosperity instead of runaway disruption.Send us Fan MailSupport the show

Ethan Mollick cuts through hype and fear to show a practical path for humans in an age of AI agents. He argues that human agency, taste, and distinctive viewpoints remain irreplaceable - and that AI is best used as a sophisticated “shitty first draft” or a sparring partner for better thinking, not a substitute. This episode explains how professionals can shift from grunt work to high-level evaluation, integrate AI into workflows, and make deliberate choices that augment creative and strategic skills rather than erode them.Send us Fan MailSupport the show

This episode traces Anthropic’s meteoric rise under siblings Dario and Daniela Amodei, charting a company built on “constitutional AI” and a public promise of safety amid almost-trillion-dollar valuations. We unpack tensions inside Anthropic - prioritising responsibility while driving disruptive automation that pummeled software stocks (the “SaaSpocalypse”), confronting white-collar job displacement, and wrestling with military and cybersecurity implications from advanced models like Mythos. The conversation frames Anthropic as a cautious but powerful player trying to balance exponential capability, commercial pressure, and existential risk as it shapes the AI frontier.Send us Fan MailSupport the show

This episode features OpenAI CEO Sam Altman on the rise of multimodal models and proactive AI agents that act on users’ behalf. He discusses the economic challenges of compensating creators whose work trains AI, the role of open-source, and geopolitical competition driving rapid progress. Altman acknowledges severe risks—bioterror, loss of control, and governance gaps—yet argues for cautious navigation to unlock superintelligence’s potential as a lifelong scientific companion and force for abundance. He closes by reflecting on personal responsibility for steering a technology that could reshape humanity’s future.Send us Fan MailSupport the show

This episode examines “quantum marketing,” where AI automates advertising at scale - generating thousands of ad variants, running synthetic focus groups, and predicting consumer responses in real time. Leaders from Mastercard and WPP explain how automation frees humans for high-value strategy and creativity while proprietary data and brand guardrails remain essential. The takeaway: companies that don’t adopt AI-driven marketing across leadership and operations risk falling behind in an increasingly fragmented media ecosystem.Send us Fan MailSupport the show

This episode features former OpenAI researcher Bob McGrew tracing AI’s shift from data-heavy pretraining to a new era driven by reasoning and test-time compute. He explains how scaling reasoning capabilities (rather than just model size or datasets) could produce reliably autonomous agents that perform complex tasks for users. McGrew also addresses the remaining challenges in grounding AI in the physical world, cultural changes in research, and a future where humans act as “geniuses” and “managers” of automated systems. Tune in for a clear view of the technical and social road toward AGI.Send us Fan MailSupport the show

This episode walks listeners through CNET’s essential AI glossary, defining 54 core terms - from machine learning and neural networks to large language models and agentic software. It clarifies practical issues like hallucinations, AI slop, and AI psychosis, and covers ethics, safety, and emerging social impacts. Designed for professionals and curious listeners alike, the show arms you with the vocabulary to understand, discuss, and navigate AI’s role in work and everyday life.Send us Fan MailSupport the show