Shopify’s AI Phase Transition: 2026 Usage Explosion, Unlimited Opus-4.6 Token Budget, Tangle, Tangent, SimGym — with Mikhail Parakhin, Shopify CTO

Latent Space: The AI Engineer Podcast1h 12mApril 22, 2026

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AI-Generated Summary

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.

Key Takeaways
1

Shopify has achieved near 100% internal AI adoption with unlimited Opus-4.6 token budgets, enabling engineers to use any model they prefer.

2

Tangle and Tangent form a powerful auto-research stack that enables rapid, reproducible ML experimentation and democratizes AI across PMs, engineers, and researchers.

3

SimGym uses historical customer data and multi-model agents to simulate real-world user behavior, enabling counterfactual analysis and predictive optimization.

4

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.

5

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

Chapters
0:00
10 min

Shopify’s AI Inflection Point: 100% Adoption & Unlimited Tokens

It's just a sort of natural byproduct. We talk about it more also.

Highlight
10:00
10 min

Tangle: The Third-Gen ML Experimentation Platform

You will never have to do digital archaeology. So full versioning and everything is also there.

Highlight
20:00
10 min

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.

Highlight
30:00
10 min

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.

Highlight
40:00
10 min

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.

High-Impact Quotes
The more merchants use Shopify, the more data is generated, which improves SimGym, Tangle, and Tangent—creating a powerful, self-reinforcing moat.
Mikhail Parakhin78:20
Viral: 92.0
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.
Mikhail Parakhin41:59
Viral: 90.0
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.
Mikhail Parakhin28:06
Viral: 88.0
Speakers

Host

Sean

Guest

Mikhail Parakhin
Topics Discussed
AI Tool Adoption at Scale95%Customer Simulation with SimGym93%Network Effects in AI Platforms92%Auto-Research and Tangent90%Non-Transformer AI Architectures88%AI-Driven Productivity and Code Quality85%Infrastructure Optimization for AI80%AI Personality and Behavioral Modeling75%
People & Brands

Shopify

organization

45xPositive

Tangle

product

18xPositive

Tangent

product

15xPositive

Mikhail Parakhin

person

12xPositive

SimGym

product

12xPositive

Liquid AI

organization

10xPositive

Opus-4.6

other

8xPositive

Sydney

other

6xNeutral

Andrej Karpathy

person

5xPositive

CentML

organization

4xPositive

Get the full intelligence

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