FULL INTERVIEW: Anjney Midha on Fixing AI’s Biggest Bottleneck

FULL INTERVIEW: Anjney Midha on Fixing AI’s Biggest Bottleneck

May 05, 2026 25 min
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🤖 AI Summary

Overview

This episode features Anjney Midha, founder of AMP, discussing his vision for addressing AI's compute bottleneck through a coordinated compute grid. He explains AMP's dual focus on infrastructure and venture capital, its public benefit corporation structure, and its mission to support groundbreaking scientific teams. The conversation also explores the potential GameStop-eBay merger, the future of collectibles marketplaces, and the broader implications of AI-driven innovation.

Notable Quotes

- You cannot put a 1962 Mickey Mantle card through the same warehouse as a phone charger. Collectibles are structurally defensible against Amazon.Anjney Midha, on eBay's unique market position.

- Trust is the moat. Technology is never the moat—community, culture, and execution are.Anjney Midha, on AMP's philosophy.

- We wanted flying cars, and we got 140 characters. Now, in our lifetime, we’re going to have flying cars and room-temperature superconductors.Anjney Midha, on the promise of AI and technology.

🖥️ Tackling AI’s Compute Bottleneck

- Anjney Midha describes AMP as a self-regulated utility aimed at solving inefficiencies in AI compute. He highlights how billions of dollars in underutilized compute resources are wasted due to fragmented infrastructure.

- AMP pools compute resources, leases them long-term, and redistributes them at cost to AI labs, enabling smaller teams to compete with hyperscalers like Google and Amazon.

- By the end of the year, AMP expects to bring several billion dollars of compute online, addressing a critical bottleneck for AI innovation.

📈 GameStop-eBay Merger and Collectibles Market

- Midha critiques the narrative around GameStop's potential acquisition of eBay, arguing that the real opportunity lies in cutting eBay's bloated $2.4 billion marketing spend and leveraging GameStop's physical stores for asset verification.

- He emphasizes eBay's defensible position in the collectibles market, contrasting it with Amazon's inability to scale in this niche.

- GameStop's 1,600 stores could serve as physical verification hubs for high-value items, solving fraud issues in the collectibles space.

🔬 Frontier Science and AI-Driven Materials Discovery

- AMP's venture arm, AMP Foundry, focuses on co-designing labs to tackle frontier challenges. One example is Periodic Labs, which uses AI and robotics to discover new high-temperature superconductors.

- Midha explains how AI predicts materials, robots synthesize them, and X-ray diffraction verifies their properties, creating a feedback loop for rapid innovation.

- In just 90 days, Periodic Labs achieved more material verifications than the field had in the past decade.

🌍 Structuring AMP as a Public Benefit Corporation (PBC)

- AMP’s PBC structure reflects its mission to generate positive externalities, such as funding innovation and optimizing infrastructure.

- Midha contrasts AMP’s approach with traditional private equity, emphasizing alignment with long-term societal benefits rather than short-term shareholder gains.

- He envisions AMP as a model for responsible innovation, avoiding the pitfalls of monopolistic practices and prioritizing trust and community.

🚀 The Future of AI and Rational Optimism

- Despite the rapid pace of AI development, Midha notes that most of the world remains unaware of its potential. He believes we’re still in the early stages of adoption.

- He predicts transformative breakthroughs in areas like flying cars, cancer solutions, and superconductors, driven by AI and collaborative innovation.

- AMP’s goal is to accelerate this progress while maintaining stability and avoiding boom-and-bust cycles.

AI-generated content may not be accurate or complete and should not be relied upon as a sole source of truth.

📋 Episode Description

This is our full conversation with Anjney Midha, recorded live on TBPN.

We discuss his thesis behind AMP and why he believes compute is the most constrained and valuable resource in the AI economy, how billions of dollars in underutilized compute are creating a massive inefficiency that his firm is aiming to solve by building a coordinated “compute grid,” and why he’s structuring AMP as both an infrastructure and capital platform to back the next generation of AI labs, unlock scientific breakthroughs, and accelerate progress across the entire ecosystem.

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