→ WHAT IT COVERS Nicolai Tangen and Stille Matyskaard recap their Eric Schmidt interview, covering AI model depreciation cycles, Europe's regulatory disadvantage, corporate culture adaptation speed, and a gender gap in AI tool usage inside Norges Bank Investment Management. → KEY INSIGHTS - **AI Model Depreciation Risk:** New AI models take roughly six months to build but can become obsolete within five months, creating a critical valuation challenge for investors.
This Week's Recap
2 episodes · Oct 12 – Oct 18
Latest Insights
Key takeaways from recent episodes
Friday Wrap-Up: Lessons from Google’s Former CEO and Europe’s AI Regulation Problem
- ✓**AI Model Depreciation Risk:** New AI models take roughly six months to build but can become obsolete within five months, creating a critical valuation challenge for investors. Assessing how quickly model costs depreciate is now a core due diligence question for AI company investments.
- ✓**Europe's AI Application Window:** Europe has lost ground in energy, chips, cloud, and foundational models, leaving application-layer AI as its remaining competitive opportunity. Draghi's Financial Times piece reinforces that deploying AI broadly across European industries is the primary lever for maintaining global competitiveness.
Eric Schmidt: The Age of Agents, Superintelligence, and Why Europe Is Falling Behind
- ✓**AI Model Lifecycle:** Foundation models currently take six months to build, two months to test, and become obsolete within five months of release — faster than their own construction cycle. Anthropic's revenue growth already exceeds twice the speed Google achieved at its peak, confirming this is real commercial demand, not speculative bubble activity.
- ✓**Agentic Business Transformation:** Agents function as concatenated workflows — input, reasoning, action, summary — and can replace most professional business processes. Schmidt recommends mapping any company's human workflow as a series of agents. Early adopters like Anthropic already use AI to write, test, and rewrite their own code, compounding productivity gains continuously.
Friday Wrap-Up: Online Dating and the Portfolio Manager Debrief
- ✓**Dating Profile Optimization:** Match Group's algorithm rewards profile depth over brevity. Maximize match quality by uploading multiple photos with varied clothing, group shots with friends, and pet photos. Profiles with more contextual data receive better algorithmic placement within the card-deck ranking system.
- ✓**Business Model Alignment:** Match Group prioritizes fast matches over prolonged subscriptions, because rapid success stories generate word-of-mouth that outweighs subscription revenue retention. Marriages originating from online dating also show lower divorce rates, suggesting algorithmic matching produces measurable long-term relationship outcomes.
Match Group CEO: Digital Dating, What Makes a Good Profile and the Loneliness Epidemic
- ✓**Dating Profile Optimization:** Men with seven or more photos, written prompt responses, and diverse clothing outperform single-photo gym selfies significantly. Match Group's AI scoring tool audits profiles and flags weaknesses — such as repetitive outfits or missing social context — pushing users to show friends, activities, and varied experiences rather than appearance alone.
- ✓**Real-Time Recommendation Algorithms:** Match Group's "queue unification" merged multiple separate recommendation decks into one ranked stack, measurably improving matches and conversations. By end of 2025, the algorithm will update in real time based on user behavior — mirroring how Spotify and TikTok instantly adjust recommendations as users engage, rather than applying changes hours later.
Recent Episode Summaries
20 AI-powered summaries available
→ WHAT IT COVERS Eric Schmidt, former Google CEO, maps the current AI landscape with Nicolai Tangen, covering the rise of agentic systems, the five-to-ten-year timeline to AGI, Europe's structural innovation failures, AI threats to democracy, and how companies of 10,000 people likely carry 2,000 redundant roles that AI will eliminate. → KEY INSIGHTS - **AI Model Lifecycle:** Foundation models currently take six months to build, two months to test, and become obsolete within five months of...
→ WHAT IT COVERS Nicolai Tangen and Markus Skord discuss Spencer Raskoff's leadership of Match Group (Tinder, Hinge), online dating algorithm mechanics, portfolio manager debriefs at Norway's sovereign wealth fund, and AI-driven industry disruption. → KEY INSIGHTS - **Dating Profile Optimization:** Match Group's algorithm rewards profile depth over brevity. Maximize match quality by uploading multiple photos with varied clothing, group shots with friends, and pet photos.
→ WHAT IT COVERS Match Group CEO Spencer Rascoff explains how Tinder and Hinge's recommendation algorithms work, why 40% of couples now meet online, how Gen Z has fundamentally reshaped dating behavior post-COVID, and what a loneliness epidemic affecting millions means for the future of human connection. → KEY INSIGHTS - **Dating Profile Optimization:** Men with seven or more photos, written prompt responses, and diverse clothing outperform single-photo gym selfies significantly.
→ WHAT IT COVERS Nicolai Tangen and Sil Martiskaar reflect on lessons from investor John Armitage — Tangen's former boss — covering investment analysis frameworks, the global erosion of shareholder voting rights, and the performance benefits of daily gratitude practice. → KEY INSIGHTS - **Operational Leverage Analysis:** John Armitage's core investment framework involves decomposing a company's profit and loss into granular drivers, then measuring what percentage of incremental sales converts...
→ WHAT IT COVERS Egerton Capital founder John Armitage outlines his 30-year investment framework with Nicolai Tangen, covering company quality assessment, financial modelling discipline, position-building methodology, management evaluation criteria, AI's risks to analytical thinking, and how to sustain alpha generation in increasingly efficient markets with roughly 40 holdings.
→ WHAT IT COVERS Kai Yu, CEO of Horizon Robotics, explains how chip supply chains underpin self-driving cars and humanoid robotics, while Nicolai Tangen examines concentration risk in AI infrastructure and recommends reading broadly to build intelligence. → KEY INSIGHTS - **Chip supply chain concentration:** Four players dominate AI hardware — Nvidia (design), ASML (lithography machines), TSMC (production), and hyperscalers (buyers). The top 10 holdings now represent 25% of Norway's $2.
→ WHAT IT COVERS Kai Yu, founder and CEO of Horizon Robotics, explains how his company supplies chips and software to one in three Chinese cars, outlines a concrete timeline from hands-free to fully autonomous "mind-off" driving by 2035, and argues China's supply chain dominance positions it to lead the robotics era. → KEY INSIGHTS - **Automotive chip market consolidation:** China's automotive computing market has narrowed to three dominant players — NVIDIA, Huawei, and Horizon Robotics.
→ WHAT IT COVERS Finland's President Alexander Stubb frames global power as a historic turning point where the Global South, Big Tech companies, and traditional nation-states form a new "rectangle of power," while Norges Bank Investment Fund studies Silicon Valley's AI-driven productivity gains. → KEY INSIGHTS - **Global South as Power Broker:** Stubb argues the West has neglected Africa, India, and South America while China built deep relationships there.
→ WHAT IT COVERS Nicolai Tangen and Stilm Mortiskar review John Maeda's simplification framework from "Algorithm," debate AI regulation following Dario Amodei's slowdown essay, and examine Singapore's 60% AI adoption rate versus the global average of 18%. → KEY INSIGHTS - **Simplification sequence:** Follow Maeda's four-step order strictly — question every requirement, delete unnecessary steps, accelerate speed, then automate last.
→ WHAT IT COVERS Jon Mc, former Tesla president who reported directly to Elon Musk, walks through the five-step operational algorithm used to build Tesla and SpaceX — question requirements, delete steps, simplify, accelerate cycle time, and automate last — explaining how Tesla achieved gross margins of 24–28% versus the industry's 10%. → KEY INSIGHTS - **Automate Last:** Tesla nearly went bankrupt during Model 3 production after designing a fully automated factory line digitally before a single...
→ WHAT IT COVERS Nicolai Tangen and Sil Marteskar examine Xpeng's reframing as a physical AI company, China's accelerating EV and robotics dominance, and why European competitiveness depends on urgency around AI adoption. → KEY INSIGHTS - **Autonomous Vehicle Timeline:** China's EV sector projects hands-off driving by 2028, eyes-off by 2030, and fully minds-off autonomous travel by 2035 — meaning passengers could sleep during transit, fundamentally reshaping how people value commute time and...
→ WHAT IT COVERS Brian Gu, Vice Chairman and President of XPeng, outlines how the company positions itself as a physical AI company — not an automaker — building shared intelligence infrastructure across electric vehicles, eVTOL flying cars, and humanoid robots, while competing in China's fiercely contested EV market where new energy vehicles now exceed 60% of all new car sales.
→ WHAT IT COVERS Nicolai Tangen and co-host review the John Deere podcast episode, covering AI-driven agricultural automation, CEO tenure longevity, university curriculum gaps in AI education, and Tangen's personal regret about losing multilingual fluency. → KEY INSIGHTS - **CEO Tenure & Performance:** John Deere has had only 10 CEOs across 190 years, and L'Oréal six in 100 years.
→ WHAT IT COVERS John May, CEO of John Deere, explains how the 190-year-old equipment manufacturer is transforming into a precision agriculture technology company, deploying computer vision, AI-driven autonomous tractors, and subscription-based software to reduce input costs and target full autonomous corn production in the US by 2030. → KEY INSIGHTS - **Precision Spraying ROI:** John Deere's computer vision system distinguishes individual weeds from healthy crops and targets herbicide...
→ WHAT IT COVERS Nicolai Tangen and Norges Bank Investment Management's communications chief recap hedge fund legend Paul Marshall's episode, covering Marshall Wace's AI-driven investment model, NBIM's internal agent factory launch, and the 2025 IPO pipeline concentration risk. → KEY INSIGHTS - **AI Adoption Signal:** Track internal token consumption as a leading indicator for AI sector investment levels.
→ WHAT IT COVERS Sir Paul Marshall, co-founder of Marshall Wace — a $90 billion hedge fund — covers how continuous innovation across 30 years built one of the world's largest funds, how the TOPS alpha capture system works, why markets are growing more competitive yet not necessarily more efficient, and where AI is taking systematic investing next. → KEY INSIGHTS - **Alpha Capture via TOPS:** Marshall Wace built the world's first alpha capture system in 2002 by having sell-side brokers run...
→ WHAT IT COVERS Rasmus Errboe, CEO of Ørsted — the world's largest offshore wind company — covers the industry's cost collapse and recovery, Ørsted's painful US exit including a stop-work order on an 80%-complete project, an €8 billion emergency capital raise, and Europe's accelerating renewable energy buildout driven by geopolitical energy dependence.
→ WHAT IT COVERS Nine leaders — including CEOs of McLaren, Novartis, Figma, and Aviva, plus investors Paul Singer and David Rubinstein — share career and life advice for young people across mentorship, resilience, specialization, and purpose. → KEY INSIGHTS - **Dual-direction mentorship:** Seek mentors both older and younger than you. Zak Brown, age 53, still learns from 85-year-old Roger Penske while simultaneously seeking guidance from younger people who are native to technologies that older...
→ WHAT IT COVERS Susan Cain, author of *Quiet*, discusses how introvert and extrovert differences shape leadership outcomes, workplace design, team composition, and how AI may shift communication dynamics for personality types. → KEY INSIGHTS - **Meeting design:** In a typical large meeting, three people do 70% of the talking, according to a Kellogg School of Business study.
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Resources mentioned on In Good Company with Nicolai Tangen
Books, tools, and gear cited by guests across episodes we've summarized.
- tool
Claude
by Anthropic
Cited in 3 episodes of In Good Company with Nicolai Tangen
- tool
ChatGPT
by OpenAI
Cited in 2 episodes of In Good Company with Nicolai Tangen
- tool
Cursor
Cited in 2 episodes of In Good Company with Nicolai Tangen
- tool
Gemini
by Google
Cited in 2 episodes of In Good Company with Nicolai Tangen
- tool
Copilot
by Microsoft
Cited in 2 episodes of In Good Company with Nicolai Tangen
- book
Good to Great
by Jim Collins
Cited in 2 episodes of In Good Company with Nicolai Tangen
- tool
Planet Labs
by Planet Labs
Cited in 2 episodes of In Good Company with Nicolai Tangen
- company
Bellingcat
Cited in 2 episodes of In Good Company with Nicolai Tangen
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