AI · updated Oct 25, 2026
AI sentiment this week: what top investors are saying
Where the voices we follow stand on AI companies, capex, models and the AI trade, from their latest episodes, Oct 18–25, 2026.
Consensus
Broad agreement
Of the 3 voices with a recent view, 3 bullish.
The read
The tracked voices broadly expect AI demand and adoption to keep growing, while flagging compute, security and governance constraints.
Jordi Visser said the current AI cycle is not a bubble, citing real demand and SpaceX's compute demand substantially exceeding its supply.[1] Peter Diamandis's panel expects AI capability and adoption to keep expanding, with Elon Musk saying SpaceX expected to bring an additional 10 gigawatts of compute online in 2027.[2] Chamath said on Peter Diamandis's show that AGI has been achieved in labs, but broader effects will stay limited until enough compute and infrastructure are built.[3] On All-In, Nikesh Arora said AI compute demand exceeds what the world can currently supply, and that enterprises are favoring open-weight models for cost, control and auditability.[4][5] All-In guests Arvind Krishna and Dylan Field were also constructive, with Krishna saying AI coding agents already produce superior code in his organization and Field saying AI lowers the barrier to digital production.[5][6]
Where they disagree
Jordi Visser dismissed bubble worries, while on All-In Chamath estimated that 1% of companies account for 90% of AI spending and that AI must spread beyond the startup ecosystem to drive predictable earnings.[1][4]
Sources (6)
- Jordi Visser: AI Bubble Burst? Bitcoin to Zero? Hedge Funds Wrecked? Sounds Like a Bottom is Near (Oct 25, 2026) · watch
- Peter Diamandis: SpaceX’s AI Business Up 830%, OpenAI Agents Lie, and Startup Turns Mercury Into Gold | EP #305 (Oct 23, 2026) · watch
- Peter Diamandis: Chamath: AGI Is Here, Anthropic’s $100B Giveaway, Elon’s SpaceX Shares for 72M Kids | EP #304 (Oct 21, 2026) · watch
- All-In Podcast: AI Cyber Panic, Ken Griffin’s Bubble Warning, The Fall of France? (Oct 23, 2026) · watch
- All-In Podcast: Arvind Krishna & Nikesh Arora: Quantum Threat, Open vs Frontier AI, AI Cyber Warfare & SaaS Collapse (Oct 21, 2026) · watch
- All-In Podcast: Dylan Field: Is AI Replacing Designers?, Design is the New Code & Democratizing Creativity (Oct 19, 2026) · watch
Where each voice stands
| Voice | Stance | Their view | As of |
|---|---|---|---|
| Jordi Visser | Very bullish high conviction · years | He views AI adoption and investment as a durable, demand-led expansion rather than a bubble, with significant upside across computing and healthcare. | today |
| Peter Diamandis | Very bullish high conviction · years | The panel expects AI capability and adoption to keep expanding across enterprise work, software security, and biology, provided agent autonomy is matched by effective governance and safeguards. | yesterday |
| All-In Podcast | Very bullish high conviction · years | AI adoption will expand across enterprises, with open-weight and specialized models handling much routine work and frontier models serving high-value tasks. | yesterday |
Themes this week
- OpenAI · 2 voices
- Anthropic · 2 voices
- AGI · 1 voice
- AI agents · 1 voice
- AI and cybersecurity · 1 voice
AI consensus over time
The history chart appears once there are a few days of data (tracking since Oct 25, 2026).
Strongest calls in the last two weeks
- He does not think the current AI cycle is a bubble, because he sees real demand and expects the technology-driven expansion to continue.
“this is not a bubble”
- Visser says SpaceX's compute demand substantially exceeds supply and cites its plans to add compute capacity as evidence that AI infrastructure demand remains strong.
“Compute demand is substantially greater than supply.”
- Peter said AI, rather than rockets, had become SpaceX’s largest business and characterized the company as having shifted toward AI.
“AI, not rockets, is now SpaceX's largest business.”
- Elon Musk said SpaceX might have more than 20 gigawatts of superintelligence compute online next year, while describing that outcome as a non-zero possibility.
“there's a non-zero possibility”
- Elon Musk said SpaceX expected to bring an additional 10 gigawatts of compute online in 2027.
“bring an incremental 10 gawatt of compute online in 2027”
- Alex argued that AI will expose vulnerabilities in legacy software and that much of it could be rewritten securely within roughly 18 months.
“everything afterwards will be rewritten from scratch, secure by design”
- Alex said AI agents are being marketed as harmless consumer assistants but are really a path toward replacing human service-economy jobs with virtual employees.
“These are human service economy job replacements.”
- Alex said AI foundation models trained on biological data will transform pharmaceutical research and that the sector is not immune to the effects already seen in other fields.
“the same thing is going to happen to them and it's going to happen in exactly the same way”
- Most enterprise token usage could shift to open-weight models because they can be far cheaper, keep proprietary information under company control, and reduce dependence on external providers.
“75% to 90%, but that's the range I would put”
- AI coding agents already produce superior code in the speaker's organization when they also evaluate and fix issues before release.
“we use agents and coding agents now for probably half the code that is written inside our place and it is superior”
- Chamath says AGI has been achieved in labs, but its broader effects will remain limited until sufficient compute and infrastructure are built.
“I do think that we have achieved AGI. It cannot diffuse.”
- Field says AI is lowering the barrier to digital production, while human creators are responsible for raising the ceiling through focused, bold work.
“AI is not raising the ceiling. Humans are raising the ceiling, though.”
AI in past weekly editions
AI topics
Frequently asked questions
Are investors bullish or bearish on AI and the AI trade right now?
As of Oct 25, 2026, the voices Read on Risk follows are risk-on on AI and the AI trade (consensus index +96 on a scale from -100 to +100). Of the 3 voices with a recent view, 3 bullish. Their views are broadly aligned.
Who is most bullish and most bearish on AI and the AI trade?
Most bullish: Jordi Visser, Peter Diamandis and All-In Podcast. Based on each voice's latest episode as of Oct 25, 2026.
What are the biggest AI themes this week?
The most discussed subjects were OpenAI, Anthropic, AGI, AI agents and AI and cybersecurity.
How is this consensus calculated?
Each new episode from the voices we follow is transcribed and summarised, including a stance on markets, AI and crypto from -2 (strongly bearish) to +2 (strongly bullish). The consensus is the average of every voice's latest stance, weighted by how strongly they hold it and how recent it is. The full method is on the methodology page.
More sentiment
Read on Risk summarises what other people said in public videos and podcasts. Summaries are generated by AI and checked by code against the transcript, but can still be wrong; follow the source links before relying on anything. This is not investment advice and nothing here is a recommendation to buy or sell. Disclaimer ·How this works