Subvolts take AI's future hinges on power, reasoning, and revenue, not just GPUs. Oct 30, 2025
For you
Developers
Understand how infrastructure limitations like power and new paradigms like chain-of-action impact AI development and deployment.
Business
Learn which AI applications are generating real revenue and how market dynamics are shifting beyond initial hype.
Hype note
3/5Notable

This interview provides a grounded, expert perspective on AI's current state and future trajectory, focusing on practical challenges and opportunities.

The MAD Podcast Episode

State of AI 2025 with Nathan Benaich: Power Deals, Reasoning Breakthroughs, Real Revenue

1 h 03 Interview Hosts: Matt Turck
0:001:03:15

Audio streams from Matt Turck. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Matt Turck interviews Nathan Benaich about the 2025 State of AI report. They discuss power as the new bottleneck, reasoning breakthroughs in AI, and the business side of AI. Topics include energy constraints, AI co-scientists, robotics, revenue, NVIDIA versus custom silicon, sovereign AI, and policy shifts. Benaich shares his investment bets and predictions for the next year.

Explained simply

This episode explains how AI's progress now depends on energy availability, not just computer chips. It also covers how AI is becoming a better assistant for complex tasks and how companies are finally making real money from AI, making it relevant for everyone.

Why listen

This episode offers a grounded look at the current AI landscape, moving beyond hype to practical realities. It's for builders, investors, and anyone tracking AI's real-world impact. The discussion on power constraints, reasoning models, and market revenue directly relates to the infrastructure and capability challenges faced by frontier labs like Google Gemini, OpenAI, and Anthropic as they scale their operations and products.

On the mic
  • HostMatt Turck
  • GuestNathan BenaichFounder and General Partner, Air Street Capital
About
Key facts
  • Guest: Nathan Benaich, Founder and General Partner at Air Street Capital
  • Report Discussed: 2025 State of AI Report
  • Show: The MAD Podcast
  • Length: 63 minutes
  • Key Constraint: Power is the new bottleneck, not GPUs.
  • Emerging Capability: Reasoning models acting as AI co-scientists.
Show notes from Matt Turck

Power is the new bottleneck, reasoning got real, and the business finally caught up. In this wide-ranging conversation, I sit down with Nathan Benaich, Founder and General Partner at Air Street Capital, to discuss the newly published 2025 State of AI report—what’s actually working, what’s hype, and where the next edge will come from. We start at the physical layer: energy procurement, PPAs, off-grid builds, and why water and grid constraints are turning power—not GPUs—into the decisive moat.


From there, we move into capability: reasoning models acting as AI co-scientists in verifiable domains, and the “chain-of-action” shift in robotics that’s taking us from polished demos to dependable deployments. Along the way, we examine the market reality—who’s making real revenue, how margins actually behave once tokens and inference meet pricing, and what all of this means for builders and investors.


We also zoom out to the ecosystem: NVIDIA’s position vs. custom silicon, China’s split stack, and the rise of sovereign AI (and the “sovereignty washing” that comes with it). The policy and security picture gets a hard look too—regulation’s vibe shift, data-rights realpolitik, and what agents and MCP mean for cyber risk and adoption.


Nathan closes with where he’s placing bets (bio, defense, robotics, voice) and three predictions for the next 12 months.


Nathan Benaich

Blog - https://www.nathanbenaich.com

X/Twitter - https://x.com/nathanbenaich

Source: State of AI Report 2025 (9/10/2025)


Air Street Capital

Website - https://www.airstreet.com

X/Twitter - https://x.com/airstreet


Matt Turck (Managing Director)

Blog - https://www.mattturck.com

LinkedIn - https://www.linkedin.com/in/turck/

X/Twitter - https://twitter.com/mattturck


FIRSTMARK

Website - https://firstmark.com

X/Twitter - https://twitter.com/FirstMarkCap


(0:00) – Cold Open: “Gargantuan money, real reasoning”

(0:40) – Intro: State of AI 2025 with Nathan Benaich

(02:06) – Reasoning got real: from chain-of-thought to verified math wins

(04:11) – AI co-scientist: hypotheses, wet-lab validation, fewer “dumb stochastic parrots”

(04:44) – Chain-of-action robotics: plan → act you can audit

(05:13) – Humanoids vs. warehouse reality: where robots actually stick first

(06:32) – The business caught up: who’s making real revenue now

(08:26) – Adoption & spend: Ramp stats, retention, and the shadow-AI gap

(11:00) – Margins debate: tokens, pricing, and the thin-wrapper trap

(14:02) – Bubble or boom? Wall Street vs. SF vibes (and circular deals)

(19:54) – Power is the bottleneck: $50B/GW capex and the new moat

(21:02) – PPAs, gas turbines, and off-grid builds: the procurement game

(23:54) – Water, grids, and NIMBY: sustainability gets political

(25:08) – NVIDIA’s moat: 90% of papers, Broadcom/AMD, and custom silicon

(28:47) – China split-stack: Huawei, Cambricon, and export zigzags

(30:30) – Sovereign AI or “sovereignty washing”? Open source as leverage

(40:40) – Regulation & safety: from Bletchley to “AI Action”—the vibe shift

(44:06) – Safety budgets vs. lab spend; models that game evals

(44:46) – Data rights realpolitik: $1.5B signals the new training cost

(47:04) – Cyber risk in the agent era: MCP, malware LMs, state actors

(50:19) – Agents that convert: search → commerce and the demo flywheel

(54:18) – VC lens: where Nathan is investing (bio, defense, robotics, voice)

(68:29) – Predictions: power politics, AI neutrality, end-to-end discoveries

(1:02:13) – Wrap: what to watch next & where to find the report (stateof.ai)

Jargon decoded
PPAs
Nathan Benaich
Power Purchase Agreements, contracts to buy electricity.
sovereign AI
Nathan Benaich
AI systems developed and controlled within a nation's borders.
chain-of-action
Nathan Benaich
A method in robotics where AI plans and executes a sequence of actions.
MCP
Nathan Benaich
Likely refers to a specific AI security or policy concept, context needed for precise definition.
Published
Show
The MAD Podcast · Matt Turck
Length
1 h 03
Companies
Google, OpenAI, Anthropic, Microsoft, Meta, xAI
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Questions people ask

What is the new bottleneck in AI development?
Power is the new bottleneck, with energy procurement, grid constraints, and water availability becoming decisive factors, surpassing GPUs.
What are the key areas Nathan Benaich is betting on?
Benaich is placing bets on bio, defense, robotics, and voice technologies within the AI space.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Matt Turck.