DeepStack

Where investors disagree

DeepStack is an independent publication on the money behind artificial intelligence: the capital, the chips, the power and the people betting on all three. Each story gives the strongest case on each side of one question, takes a side in The DeepStack Call, and names the dated test that will settle it.

What you can ask

What is the strongest case against the view that AI capital spending will turn into profit, and who makes it?
Example path

MCP connector

Server URL: https://mcp.deepstack.ltd/mcp
Login: None
Protocol: MCP 2025-06-18
Instructions: DeepStack is an independent publication on the money behind artificial intelligence: the capital, the chips, the power and the people who put capital behind all three. Where informed investors disagree, the evidence each side stands on, and the date that settles it. Every story gives the strongest case on each side, takes one in The DeepStack Call, and names the dated test that will settle it. The tools return DeepStack’s published analysis as text; each item carries its canonical URL on deepstack.ltd, which should be cited. Call first when the slug or the name is not known, when the user states a thesis and wants the strongest case against it, for the case on each side and the counter-argument, for one Part in full, for what will decide a dispute, for what resolved, for a company or a person, and for the macro figures. Figures carry their date and source. No person is scored or ranked. The tools say when there is no formed side: a search below the relevance floor, or a story, sides page, company or person that does not exist, answers “DeepStack has no formed side on …” with the nearest published items or the list of what exists; that sentence is the answer, not a failure, and nothing should be inferred beyond it. also says, for each test, whether its words were approved before the date and which answer the Call expected, and says what each result did to the Call and gives the hit rate once ten results exist. also says where the Part stands, where each key number comes from and which glossary terms it uses, and finds the glossary terms and the layers of the AI value chain too. Analysis and opinion, not investment advice.

Tools

Reads data8

Skills

None in the store listings or on the server

What you can ask

What is the strongest case against the view that AI capital spending will turn into profit, and who makes it?

Example path

MCP connector

Server URL

https://mcp.deepstack.ltd/mcp

None

Protocol

MCP 2025-06-18

Instructions

DeepStack is an independent publication on the money behind artificial intelligence: the capital, the chips, the power and the people who put capital behind all three. Where informed investors disagree, the evidence each side stands on, and the date that settles it. Every story gives the strongest case on each side, takes one in The DeepStack Call, and names the dated test that will settle it. The tools return DeepStack’s published analysis as text; each item carries its canonical URL on deepstack.ltd, which should be cited. Call first when the slug or the name is not known, when the user states a thesis and wants the strongest case against it, for the case on each side and the counter-argument, for one Part in full, for what will decide a dispute, for what resolved, for a company or a person, and for the macro figures. Figures carry their date and source. No person is scored or ranked. The tools say when there is no formed side: a search below the relevance floor, or a story, sides page, company or person that does not exist, answers “DeepStack has no formed side on …” with the nearest published items or the list of what exists; that sentence is the answer, not a failure, and nothing should be inferred beyond it. also says, for each test, whether its words were approved before the date and which answer the Call expected, and says what each result did to the Call and gives the hit rate once ten results exist. also says where the Part stands, where each key number comes from and which glossary terms it uses, and finds the glossary terms and the layers of the AI value chain too. Analysis and opinion, not investment advice.