Jul 15, 2026 · 49m · allin
Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe Coding
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
This episode of The All-In Interview features host Jason Calacanis interviewing former Intel CEO Pat Gelsinger on Intel's historic strategic mistakes and chip manufacturing future, followed by Lovable CEO Anton Osika on the explosive growth of AI-driven software creation and enterprise SaaS disruption.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The hosts hold 37.6% of the talking time here. How this is scored →
speaking balance: gold is the hosts, purple is the guest (3 minute bins)
Pat Gelsinger directly shuts down Jason's sarcastic comment about quantum computing being five years away for 25 years, insisting firmly that meaningful results will happen this decade.
Hardest push from the hosts ▶ 22:41 Pushback on quantum hypeJason calls out the industry's perpetual moving target for quantum computing, refusing to accept vague future promises without an explicit deadline.
Biggest teaching moment ▶ 15:58 Taiwan energy blockade exposurePat Gelsinger exposes a critical vulnerability by explaining that Taiwan has less than three weeks of energy reserves, meaning a simple naval blockade would trigger an economic crisis worse than the Great Depression.
The host holds their own ▶ 31:40 Detailed ROI analysis of vibe codingJason demonstrates strong operational expertise by breaking down exact cost structures, comparing a $500k enterprise software project to a 4-hour $2,000 internal build using Lovable.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The hosts as informed peer | Guest teaching | Guest disagreement | The hosts pushing back | Why |
|---|---|---|---|---|---|---|
| Intel's Cultural Shift: Technical versus Financial Leadership | 5 | 5 | 1 | 2 | Jason demonstrates good tech history context by referencing bean counters, stock buybacks, and missed product opportunities like iPhone chips. Pat explains how Intel transitioned from technical PhD leadership under Grove and Moore to financial managers who prioritized capital return over long-term tech investment. | |
| Apple's Transition to Custom Silicon and Steve Jobs' Vision | 4 | 6 | 1 | 1 | Jason prompts Pat about Steve Jobs initiating Apple's internal silicon project around 2008. Pat educates the host with an insider story revealing that Jobs had quietly ported macOS across four releases before informing Intel. | |
| Nvidia's GPU Revolution and TSMC's Foundry Dominance | 6 | 7 | 1 | 2 | Jason quotes William Gibson regarding tech adoption and highlights Nvidia's convergence with crypto and AI. Pat outlines Jensen Huang's persistent building of CUDA and explains how TSMC's pure-play foundry model outpaced Intel's integrated model. | |
| The CHIPS Act, Supply Chain Resilience, and Geopolitical Risks | 6 | 7 | 2 | 2 | Jason presses on geopolitical timeline risks surrounding a potential blockade of Taiwan and US CHIPS Act domestic capabilities. Pat schools the room by revealing Taiwan holds under three weeks of energy reserves, making a simple blockade catastrophic. | |
| AI Infrastructure Buildout, Token Economics, and Market Realities | 7 | 6 | 3 | 4 | Jason challenges the AI infrastructure buildout as a potential bubble, citing Jevons paradox and naming specialized hardware startups like Cerebras and Groq. Pat reframes the bubble concern by pointing out that global power grid limitations act as a natural governor on overbuilding. | |
| The Timeline and Industry Impact of Quantum Computing | 5 | 6 | 4 | 6 | Jason openly challenges the quantum computing narrative, noting it has been perpetually 'five years away' for decades. Pat firmly rejects the skepticism, asserting quantum supremacy will yield commercial utility before 2030. | |
| Introducing Anton Osika and Lovable's Explosive Growth | 4 | 4 | 0 | 1 | Jason introduces Anton Osika and praises Lovable's product focus on enabling non-developers to build software. Anton provides concrete metrics on platform usage, including project volume and web traffic growth. | |
| Vibe Coding Evolution, Enterprise Adoption, and Internal Software | 7 | 5 | 1 | 1 | Jason provides an extensive operational breakdown of how his team replaced a $500k software development quote with a 4-hour Lovable build for under $2,000. Anton explains how enterprise guardrails, automated security scanning, and backend hosting enable production-ready software. | |
| Replacing Legacy SaaS with Bespoke AI Software and Open-Weight Models | 6 | 6 | 2 | 3 | Jason probes whether bespoke AI apps will dismantle standard SaaS tools like Slack and Salesforce. Anton provides a real-world case study where a customer replaced ten internal tools to save over $1M annually, and details post-training fine-tuning on failure modes. | |
| Token Consumption, Internal Co-opetition, and Interview Conclusion | 6 | 6 | 1 | 2 | Jason asks about internal organizational conflicts when separate teams build competing custom apps for the same problem. Anton draws an analogy to particle physics research at CERN to advocate for internal co-opetition and rapid parallel experimentation. |