Shopify’s AI Phase Transition: 2026 Usage Explosion, Unlimited Opus-4.6 Token Budget, Tangle, Tangent, SimGym — with Mikhail Parakhin, Shopify CTO
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In this deep-dive episode of Latent Space: The AI Engineer Podcast, host Sean interviews Mikhail Parakhin, CTO of Shopify, about the company's explosive AI transformation and its strategic shift toward an AI-native engineering culture. Parakhin details how Shopify has achieved near-universal AI tool adoption—approaching 100% of daily active workers—driven by an unlimited Opus-4.6 token budget and a culture that empowers engineers to use any model they prefer. The conversation explores the company’s internal AI infrastructure, including Tangle, a third-generation system for scalable, reproducible ML experimentation with content-based caching and automatic deduplication, and Tangent, an auto-research agent that autonomously optimizes pipelines. Parakhin emphasizes that the real metric isn't token consumption, but the efficiency of high-quality critique loops and the quality of output. He also introduces SimGym, a revolutionary customer simulation platform that uses historical data and multi-model agents to predict conversion outcomes with high accuracy, enabling counterfactual analysis and personalized interventions. The discussion extends to Shopify’s use of non-transformer Liquid AI models for ultra-low-latency search and efficient distillation, highlighting a strategic shift toward hybrid architectures. Parakhin concludes by framing Shopify’s AI stack as a self-improving moat—where more usage leads to better models, creating a powerful network effect that is difficult for competitors to replicate.
Shopify has achieved near 100% internal AI adoption with unlimited Opus-4.6 token budgets, enabling engineers to use any model they prefer.
Tangle and Tangent form a powerful auto-research stack that enables rapid, reproducible ML experimentation and democratizes AI across PMs, engineers, and researchers.
SimGym uses historical customer data and multi-model agents to simulate real-world user behavior, enabling counterfactual analysis and predictive optimization.
Liquid AI models are being used internally for ultra-low-latency search (under 30ms) and efficient distillation, offering superior performance to transformers in specific workloads.
Shopify’s AI infrastructure is creating a self-reinforcing network effect: more usage → better models → better product → more usage.
…and 2 more takeaways available in PodZeus
Shopify’s AI Inflection Point: 100% Adoption & Unlimited Tokens
“It's just a sort of natural byproduct. We talk about it more also.”
Tangle: The Third-Gen ML Experimentation Platform
“You will never have to do digital archaeology. So full versioning and everything is also there.”
Tangent: Auto-Research at Scale
“Literally, whatever different works of life, and it doesn't have to be AI-related. We had a reduction in storage because the agents would go and find datasets that clearly are derivative.”
SimGym: Simulating Real-World Customer Behavior
“We run over it and we say, hey, here's what predicted values of conversions are, and here's how we think you should modify it to increase your conversions.”
Liquid AI: The Non-Transformer Alternative for Low Latency
Shopify uses Liquid AI models for ultra-low-latency search (under 30ms) and efficient distillation. These models are more expressive than SSMs and outperform transformers in compact, high-efficiency use cases.
“The more merchants use Shopify, the more data is generated, which improves SimGym, Tangle, and Tangent—creating a powerful, self-reinforcing moat.”
“We run over it and we say, hey, here's what predicted values of conversions are, and here's how we think you should modify it to increase your conversions.”
“Literally, whatever different works of life, and it doesn't have to be AI-related. We had a reduction in storage because the agents would go and find datasets that clearly are derivative.”
Host
Guest
Shopify
organization
Tangle
product
Tangent
product
Mikhail Parakhin
person
SimGym
product
Liquid AI
organization
Opus-4.6
other
Sydney
other
Andrej Karpathy
person
CentML
organization
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