Founder PreviewIntelligence Report

AI Brain

August 7, 2026

Evidence through 6:00 AM CT

Experts
15
Sources
148
Agreement
72%
Report Library
01

Executive Summary

Your panel broadly agrees that frontier capability keeps improving and that task-level automation is already real. They split hard on how quickly that converts into full role replacement and durable enterprise revenue.

02

What Everyone Is Talking About

The themes your panel returned to most across 148 supported sources.

  • How much of today's AI capex converts into durable earnings
  • Task-level automation is already measurable in support, translation and routine analysis
  • Whether current architectures reach reliable long-horizon reasoning
  • Model capability is still improving faster than organisations can absorb it
03

Strongest Areas of Agreement

  • Task-level automation is already measurable in support, translation and routine analysis
  • Compute and energy availability are the binding constraints through 2027
  • Model capability is still improving faster than organisations can absorb it
04

Biggest Disagreements

Disagreement is preserved, never averaged away.

  • Whether current architectures reach reliable long-horizon reasoning
  • How much of today's AI capex converts into durable earnings
  • Speed of full role replacement outside routine work
05

What Changed Since Your Last Report

  • 2 hours ago — Two new lab statements ingested; agreement +3 pts
  • This week — Skeptic camp softened on coding agents
  • Last month — Capex-return debate re-opened after earnings
06

Emerging Signals

  • 8 new sources entered the record this period.
  • Two new lab statements ingested; agreement +3 pts
  • Agreement is at 72% across 15 tracked experts.
07

Expert-by-Expert Digest

  • Jensen Huang

    Reiterated their position on task-level automation is already measurable in support, translation and routine analysis.

  • Sam Altman

    Pushed back on how much of today's ai capex converts into durable earnings.

  • Dario Amodei

    Added new material this period; position unchanged.

  • Demis Hassabis

    Reiterated their position on task-level automation is already measurable in support, translation and routine analysis.

  • Mark Zuckerberg

    Pushed back on how much of today's ai capex converts into durable earnings.

  • Satya Nadella

    Added new material this period; position unchanged.

  • Andrej Karpathy

    Reiterated their position on task-level automation is already measurable in support, translation and routine analysis.

  • Fei-Fei Li

    Pushed back on how much of today's ai capex converts into durable earnings.

08

Topics Being Discussed

  • How much of today's AI capex converts into durable earnings39
  • Task-level automation is already measurable in support, translation and routine analysis38
  • Whether current architectures reach reliable long-horizon reasoning38
  • Model capability is still improving faster than organisations can absorb it25
  • Speed of full role replacement outside routine work14
  • Compute and energy availability are the binding constraints through 20279
09

Contrarian View

The minority position worth taking seriously: Speed of full role replacement outside routine work. It is held by a small part of your panel but is supported by evidence in the record.

10

Questions Worth Exploring

  • Is NVIDIA still the strongest AI stock?
  • Which AI companies have the highest conviction?
  • What changed after earnings?
  • Which experts became more bullish?
11

Sources & Evidence

Earnings calls & filings · Frontier lab technical reports · Long-form podcast interviews · Peer-reviewed benchmarks

Inference demand growth outpacing supply

Q-earnings call transcripts (12)

Task-level productivity gains of 15–40%

Field studies, 9 peer-reviewed

Reliability still the top enterprise blocker

Practitioner interviews (27)

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