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Happy New Year listeners! In our first AI-Podden news update of 2026, our hosts Ather Gattami and Anders Arpteg, reflect on the key highlights of AI in 2025 and what lies ahead. They discuss OpenAI's loss of momentum, Google Gemini's rise, the hype and shortcomings of agentic AI, and the growing gap between rapid technological progress and real-world adoption. The conversation also covers infrastructure and hardware investments, energy efficiency, AI sovereignty, regulation, geopolitics, robotics, and the shift toward smaller, more specialised models, with a clear warning that the AI divide between leaders and laggards is likely to widen further in 2026. It promises to be a year full of twists, turns and surprises in the world of AI.

In this months November news update, our hosts; Ather Gattami and Anders Arpteg, recap November's biggest AI shifts. Google's Gemini 3 Pro taking the lead, OpenAI facing pressure over massive infrastructure bets and AGI expectations, Yann LeCun leaving Meta for new research ventures, the EU softening its regulatory stance, and Grok sparking laughs with overly pro-Elon responses, capturing both rapid progress and rising bubble concerns.  

In October's AI news update, Ather Gattami and Anders Arpteg discuss OpenAI's transition to a full for-profit structure, the rollout of in-chat shopping, and its new browser. They clarify what Google's "Quantum Echoes" actually demonstrates and why practical quantum computing is still distant. The episode also covers recent improvements in AI systems' ability to use computer interfaces and the security implications of autonomous action-taking, new details emerging from the OpenAI leadership conflict, and NVIDIA's compact DGX-Spark supercomputer. Lastly, a quick congratulations to all of this year's AI Swede of the nominees: Hanna Linderstål Anton Osika Fabian Hedin Joel Rangsjö Marcus Wallenberg Leonora Vesterbacka

*]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "request-WEB:695faadf-e8e6-439d-a551-6a261d8a0c51-18" data-testid= "conversation-turn-4" data-scroll-anchor="true" data-turn= "assistant"> In this special episode, our host Ather Gattami interviews Jayesh Govindarajan, EVP at Salesforce AI and AgentForce, live at Dreamforce in San Francisco, where Salesforce unveiled major advances in agentic AI including AgentForce Voice, advanced context engineering, and AFScript. Jayesh explains that successful enterprise AI requires not only powerful models but also well-defined goals, reliable context, actionable capabilities, and robust guardrails that deliver both creativity and precision. He describes Salesforce's full lifecycle for building, testing, and monitoring agents, which enables continual improvement and lays the foundation for future self-learning systems that can safely expand their own capabilities.       

In this episode, our host Ather Gattami, speaks with Beda Grahn, Managing Director at Kyndryl Nordics & Baltics, about how they use AI to manage and modernize the core infrastructure around the globe. From banking systems to home-care platforms, Beda explains how "Kyndryl Bridge" produces over 12 million AI-driven insights monthly, enabling preventive actions and major efficiency gains, such as cutting KYC workloads by 60 percent. Ather and Beda explore the rise of agentic AI, its challenges in enterprise adoption, and the importance of leadership in driving transformation. Beda stresses that executives must lead by example, foster reverse mentorship with young talent, and embed ethical guardrails to balance innovation with security. 

*]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "request-WEB:aef98bb1-0f42-4c9d-bc2e-a0353b005fb7-3" data-testid= "conversation-turn-8" data-scroll-anchor="true" data-turn= "assistant"> In this month's AI news update episode, our hosts Ather Gattami and Anders Arpteg discuss all the latest AI breakthroughs, from OpenAI's Sora 2 and Claude 4.5 to Gemini 2.5 and Grok 4 - and the massive infrastructure race behind them, including the $500 billion Stargate project and Elon Musk's Colossus 2 data center. They explore OpenAI's move toward productisation with its "Instant Checkout" feature, Microsoft's "Vibe Working", and Google's browser-integrated Gemini, before highlighting DeepMind's progress on the Navier–Stokes problem. The episode ends on an optimistic note: AI's power lies in augmenting, not replacing, human capability.      

In this very special episode, our host Ather Gattami welcomes Robby Stein, VP of Product at Google Search, to reveal some truly exciting Google news: the global rollout of AI Mode.  This new feature introduces conversational, multimodal search in nearly 50 countries and 36 languages, allowing users to ask complex questions through text, voice, or images - and receive richer, link-backed responses powered by Google's real-time information systems. Robby explains how AI mode builds on tools like Lens and AI Overviews, while carefully balancing innovation with reliability, addressing challenges such as compute costs and hallucinations through Google's long-established quality systems. From planning trips with multiple constraints to troubleshooting appliances with a photo, he describes these breakthrough experiences as "AI magic moments."

In the latest AI-Podden news episode, our hosts Ather Gattami and Anders Arpteg, discussed insights from a recent Stockholm AI event with Mistral and Anthropic, covering debates on open-source vs. open weights, safety-first agent design, and the rise of "context engineering." They reviewed major lawsuits involving Google, OpenAI, and Anthropic, highlighted Google's new Nano Banana image generator, and reflected on AGI's limits, arguing that today's AI excels at knowledge management but still lacks true reasoning and autonomy, with future progress hinging on new architectures, massive compute, and energy considerations.

In this week's update, host Ather Gattami is joined by regular guest Anders Arpteg, Head of AI and Data at GlobalConnect, to unpack the summer's biggest AI developments. They review the release of GPT-5, which introduced cheaper APIs, longer context windows, and fewer hallucinations but ultimately fell short of lofty expectations, particularly when compared with Claude and Gemini. The discussion explores possible reasons, including talent losses, outdated training data, and speculation of withheld advances, while also spotlighting AI's Olympiad successes, DeepMind's pursuit of hard mathematical problems, and video models like Veo 3 that demonstrate an emerging grasp of physical laws. They conclude that although omni-models may appear, specialized systems are more likely to dominate, creating significant opportunities for startups and enterprises despite the concentration of power in a few frontier labs.

In this special summer episode, we do something a bit different. Our usal host Ather Gattami steps into the guest seat and is interviewed by close friend; Joseph Michael, Venture Partnerships at Google. Ather shares his journey from PhD researcher to leading Sweden's top AI podcast. He reflects on AI's evolution, the shift from theory to compute-driven progress, and why reasoning and real-world learning are the next big steps. Ather urges everyone to embrace AI tools or risk falling behind and shares his excitement about trends like agentic AI - while reaffirming that his true passion lies in doing AI, not just talking about it.  Happy Summer!  

In this episode, Ather Gattami and one of our favourite guests; Anders Arpteg, Head of AI and Data at GlobalConnect, explore Meta's shifting AI strategy, including its investment in Scale AI amid doubts about LeCun's JEPA model and LLaMA 4 performance. They compare Tesla's vision-based Robotaxi rollout to Waymo's sensor-heavy approach, highlighting Tesla's edge in scalability and real-world data. They also dive into Apple's "Illusion of Thinking" paper, questioning whether today's LLMs genuinely reason or simply excel at recall, and discuss the need for memory, planning, and architectural breakthroughs to push AI beyond current limits.    

In this week's episode, special guest; Eva Fors, Managing Director at Google Cloud Nordics returns to the podcast. Eva and our host, Ather Gattami look at how companies in the region are shifting from AI pilots to real deployments, with leaders like Klarna, EasyPark, and Bonnier News using generative AI in areas like customer engagement, M&A, and personalization. While adoption is growing, Eva notes traditional industries are slowed by governance and execution gaps rather than tech limitations. She emphasizes the importance of treating data as a key asset and sees major potential for AI in public sector services, finance, and backend operations - especially as agent-based systems become more common.

In this episode, Stephen Jenkins, VP of Technology Strategy at Magna Electronics, shares practical insights into how AI is reshaping the automotive industry - from cutting development timelines with synthetic data to building smarter, more efficient autonomous parking systems. He explores the challenges of trust, safety, and explainability in AI, the current state of self-driving technology, and why full autonomy may be closer than we think.      

In this week's episode, we host one of our favourite guests; Anders Arpteg, Head of AI and Data at GlobalConnect, to discuss how AI could enable "single person unicorns" by handling core business functions, based on his keynote at the Data Innovation Summit. The episode also explores leadership shifts at Meta and OpenAI, the growing divide between research and product focus, and a promising new approach to training AI without human data, inspired by AlphaZero.

In this week's episode, Ather chats with Magnus Hambleton, investor at byFounders and former data lead at Natural Cycles. Magnus has successfully applied transformers to improve fertility predictions in a medical setting. As an investor, he focuses on agentic AI and backs startups slightly ahead of what's currently possible, betting on near-future model capabilities. He remains cautious about LLMs' reliability and generalization, believing new architectures may be needed for AGI. While big tech is dominant, he sees room for startups in complex, workflow-driven applications.