Podcast
AIAW Podcast
Hosted by Hyperight · EN
The Artificial Intelligence After Work (AIAW) podcast is a weekly live streamed long format conversation aiming to demystify data innovation and AI, as well as their impact to future business and society by bringing the listeners close to the challenges that AI practitioners aim to solve today. The case-study, industry-by-industry, human-focused, and guest personal angle on the topic approach makes the podcast educational, emotional, engaging, and entertaining to all who are interested in learning more about AI, the future developments in the area, or simply getting exposed to variety of topics from practitioners and experts with first-hand industry experience and knowledge in the topic of the day. Hosts: Anders Arpteg & Henrik Göthberg. Program Manager: Goran Cvetanovski
13episodes
Episodes
Newest firstAll episodes
E184 - Navigating AI in Public Sector - David Wallén
2w ago02:15:34Tap to summarizeIn Episode 184 of the AIAW Podcast, we’re joined by David Wallén, CEO and Co-Founder of Intric, to explore what it really takes to drive AI innovation inside governments and critical industries. Drawing on insights from more than 50 public-sector AI implementations, David breaks down the realities behind procurement structures, governance models, regulation, and organizational incentives that often slow down adoption. We discuss sovereign AI, secure infrastructure, Europe’s ability to compete in the global AI race, and what organizations consistently get wrong when implementing AI at scale. From practical lessons in public-sector transformation to the future of AGI and human judgment, this episode examines how governments and institutions can move from experimentation to meaningful AI impact. Follow us on youtube: https://www.youtube.com/@aiawpodcast
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E183 - AI and Cybersecurity - Åsa Schwarz
3w ago01:55:22Tap to summarizeIn Episode 183 of the AIAW Podcast, we’re joined by Åsa Schwarz, CEO of Aranya Consulting, cybersecurity expert, board member at Precise Biometrics and Enea, and acclaimed Swedish crime fiction author, for a deep dive into the rapidly evolving intersection of AI and cybersecurity. Drawing on more than 25 years of experience in cyber defense and technology strategy, Åsa explores how AI is reshaping the threat landscape—from attacks on legacy infrastructure and operational technology systems to deepfakes, automated phishing, and large-scale disinformation. We also discuss the growing AI security divide between Europe and the United States, the evolution of criminal business models in the AI era, and what organizations must do to build resilience in a world where trust, identity, and digital sovereignty are increasingly at stake.Follow us on youtube: https://www.youtube.com/@aiawpodcast
Transcribe →E182 - AI Vibe Marketing Is Here - Berner Setterwall & Tom Ström
Apr 3002:22:52Tap to summarizeIn Episode 182 of the AIAW Podcast, we’re joined by Berner Setterwall and Tom Ström, Co-Founders of Cogny, to explore how agentic AI is redefining marketing orchestration. Moving beyond traditional automation, they share how AI agents can execute, coordinate, and manage complex marketing workflows—from campaign execution to technical operations. We dive into the shift from SEO to Generative Engine Optimization (GEO), the role of Model Context Protocol (MCP) in enabling real action, and what it means to build autonomous, AI-driven marketing teams. From the convergence of marketing and engineering to the evolving role of human creativity in an agent-powered world, this episode offers a practical and forward-looking perspective on the future of growth. Follow us on youtube: https://www.youtube.com/@aiawpodcast
Transcribe →E181 - AI and the Future of Developer Productivity - Viktor Jarnheimer
Apr 2401:52:17Tap to summarizeIn Episode 181 of the AIAW Podcast, we sit down with Viktor Jarnheimer, Founding CEO of Proxify, to explore how AI is transforming productivity inside modern tech teams. Drawing on his experience building a global network of remote developers, Viktor explains why AI-augmented development is becoming the new baseline—and what that means for hiring, performance, and competitive advantage. We unpack the widening productivity gap between teams that use AI and those that don’t, the critical role of data engineering in unlocking real AI value, and how companies can scale globally by embracing a borderless talent strategy. From balancing speed with code quality to redefining the role of human expertise in software development, this episode offers a practical perspective on building high-performing teams in the age of AI. Follow us on youtube: https://www.youtube.com/@aiawpodcast
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E180 - AI in Banking: Innovation vs Trust - Stephan Erne
Mar 2702:40:36Tap to summarizeIn Episode 180 of the AIAW Podcast, we’re joined by Stephan Erne, former Chief Digital Officer at Handelsbanken, to explore how AI can move from experimentation to real impact in banking and other regulated industries. Drawing on his experience leading digital transformation across the Nordics and Germany, Stephan shares how organizations can align technology, compliance, and business to turn AI into a core value driver. We discuss trust and transparency in financial services, the role of leadership and culture in scaling AI, and how emerging technologies like blockchain and quantum computing may reshape the industry. From the human role in an increasingly automated world to the long-term outlook toward AGI, this episode focuses on what it takes to build resilient, trustworthy AI in complex environments.Follow us on youtube: https://www.youtube.com/@aiawpodcast
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E179 - Math education in the AI-age - Henrik Appert
Mar 1202:07:27Tap to summarizeIn Episode 179 of the AIAW Podcast, we’re joined by Henrik Appert, Founder and CEO of Magma Math, for a fascinating conversation on AI and the future of mathematical thinking and learning. As AI systems become increasingly capable of solving mathematical problems instantly, the deeper question emerges: what does it actually mean for humans to think mathematically? Together with host Henrik Göthberg and guest co-host Anders Enström, we explore how AI is transforming classrooms, what may be fundamentally broken in how mathematics is taught today, and how new tools can strengthen human learning and peer interaction. From the philosophy of mathematical reasoning to the realities of school system adoption, and from workforce implications to the broader societal impact of improving global mathematical literacy, this episode examines how education may evolve in a world where machines can calculate but humans still need to understand.Follow us on youtube: https://www.youtube.com/@aiawpodcast
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E178 - Designing Resilient Digital Systems - Catherine Mulligan
Mar 502:07:22Tap to summarizeIn this episode of the AIAW Podcast, we’re joined by Dr. Catherine Mulligan, technology strategist, sustainability expert, and author of Designing Resilient Digital Systems, for a timely conversation on the future of digital sustainability. Drawing on her work at the intersection of AI, blockchain, 5G, IoT, and public policy, Catherine explains why traditional digital transformation—focused primarily on efficiency and scale—is increasingly failing to address long-term environmental and societal challenges. We explore what it truly means to build resilient digital systems capable of withstanding climate shocks, geopolitical instability, and rapid technological change. From the energy footprint of massive AI models and the global race for AI infrastructure to Europe’s ambitions for digital sovereignty and the role of human judgment in an increasingly automated world, this episode looks at how organizations can design technology that serves both business and the planet. If you care about the future of AI, sustainability, and responsible digital leadership, this is a conversation you won’t want to miss. Follow us on youtube: https://www.youtube.com/@aiawpodcast
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E177 - AI Quality and Security - Magnus Hyttsten
Feb 2702:09:55Tap to summarizeIn Episode 177 of the AIAW Podcast, we sit down with Magnus Hyttsten, former Google AI Engineering Lead and EU AI Act specialist, for a grounded and timely conversation on AI quality, security, and compliance at enterprise scale. Drawing on his experience building generative AI evaluation systems at Google, Magnus breaks down the real challenge of defining “quality” in non-deterministic models and explains why robust evaluation frameworks, engineering discipline, and governance are becoming mission-critical. We explore the EU AI Act as a potential accelerator for trustworthy innovation rather than a constraint, unpack common security blind spots in enterprise AI strategies, and look ahead to what responsible AGI development might require. If you’re serious about moving from AI experimentation to secure, production-ready systems, this episode is essential listening. Follow us on youtube: https://www.youtube.com/@aiawpodcast
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E176 - Scaling Enterprise AI Agents - Danilo Nobrega
Feb 1901:51:14Tap to summarizeIn Episode 176 of the AIAW Podcast, we sat down with Danilo Nobrega, Founding Go-to-Market Lead for the Nordics at LangChain, to unpack what it truly takes to scale enterprise AI agents beyond the prototype stage. Drawing on his background in data infrastructure at MongoDB and his work expanding LangChain across Scandinavia, Danilo shared practical insights into the shift from simple LLM wrappers to fully orchestrated, stateful, production-ready agentic systems. We explored LangGraph, agent memory, feedback loops, observability, and cost control—breaking down how organizations can build reliable, explainable, and economically sustainable AI applications at scale. From enterprise use cases and ROI to the Nordic AI ecosystem and the future of AGI, this episode delivers a grounded and strategic look at where agent engineering is headed next. Follow us on youtube: https://www.youtube.com/@aiawpodcast
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E175 - Proprietary Data as the Ultimate AI Moat - Anders Hammarbäck
Feb 1301:54:24Tap to summarizeIn Episode 175 of the AIAW Podcast, we’re joined by Anders Hammarbäck, Co-Founder and CEO of RedpineAI, to explore why proprietary data may become the ultimate competitive advantage in the AI era. As models increasingly commoditize, Anders argues that the real moat lies in owning and structuring high-quality, licensed data. We discuss RedpineAI’s vision of a “Knowledge Layer” designed to reduce hallucinations, power agentic AI systems, and unlock new applications in science and enterprise. From Europe’s role in data sovereignty to the future of AGI and the evolving labor market, this episode dives into how the next wave of AI innovation may be defined not by bigger models—but by better data. Follow us on youtube: https://www.youtube.com/@aiawpodcast
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