AI-podden

In this episode, Anders Hammarbäck, co-founder of Redpine AI, discusses how data, not models - will define the winners in the AI era. He explains RedPine's role as a "knowledge layer" that unlocks proprietary, high-quality data to improve AI accuracy and reduce hallucinations, especially in sectors like healthcare and pharmaceuticals. The conversation also covers the potential value of personal data, the near-term outlook for AI and AGI, Europe's position in the global AI race, and Ander's shift from venture capital to founding a company focused on data as the core competitive advantage in AI.

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.