AI Brain
July 24, 2026
Evidence through 6:00 AM CT
- Experts
- 15
- Sources
- 117
- Agreement
- 70%
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.
What Everyone Is Talking About
The themes your panel returned to most across 117 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
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
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
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
Emerging Signals
- 7 new sources entered the record this period.
- Two new lab statements ingested; agreement +3 pts
- Agreement is at 70% across 15 tracked experts.
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.
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
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.
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?
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)
Founder Preview — this report is composed from governed demonstration evidence while live monitoring continues to be expanded. Download it and use it anywhere, including your own research workflow.