Full Analysis Summary
Sources Needed for Summary
I cannot create the requested 4–6 paragraph article about "Oracle's Massive AI Spending Drives Credit Stress As Hedging Costs Near Record, Morgan Stanley Warns" because no source articles were provided in your message.
Your instruction asked explicitly to 'Use details from as many distinct sources as possible,' but the prompt contains only the phrase 'Here are the articles:' with no articles attached, so I have no primary material to summarize or cite.
I must therefore ask you to either paste the articles (or links and permission to fetch them) or expressly permit me to use external reporting beyond the materials you intended to supply.
Please provide the reformatted version with the specified structure.
Once you supply the articles or grant permission to fetch sources, I will produce the requested 4–6 paragraph article using details from multiple sources.
Article request instructions
If you provide the articles (paste text or links) I will produce the 4–6 paragraph article you requested, and I will include a 'citations' list of at least three different sources for each paragraph as required.
Alternatively, if you want me to rely on reporting beyond what you supply, please confirm permission to use public news reports and I will gather multiple perspectives (for example: Western mainstream, Western alternative, and West Asian outlets) before writing.
I will not invent facts; any factual claims will be tied to the supplied sources or explicitly noted as reported claims.
Please provide the reformatted version with the specified structure.
The output should be formatted as a JSON instance that conforms to the provided JSON schema.
Oracle AI and Credit Risks
Suggested article structure to be filled once sources are supplied: start with a headline and a short overview tying Oracle's AI investments to Morgan Stanley's warning.
Next, provide details from Morgan Stanley's analysis, including what it says about credit stress and hedging costs.
Then cover market and issuer reaction, such as movements in credit spreads and investor hedging behavior.
Finally, discuss broader implications and divergent perspectives across source types—for example, financial press emphasis on spreads versus other outlets highlighting strategic AI investment risk.
I will ensure each paragraph cites at least three distinct outlets and will flag when a claim is a direct quote, a summary, or a reported claim.
Article request instructions
Next steps: paste the article texts or links you want me to use (or explicitly permit me to gather public reports).
Once I have them I will produce the requested 4–6 paragraph article with per-paragraph citations (each with 3+ distinct sources), identify differences across source types, and preserve the tone and severity of each source.
If you prefer, indicate particular outlets you want emphasized (e.g., Morgan Stanley report, Wall Street Journal, Financial Times, Reuters, regional outlets, or alternatives) and I will prioritize those.
Please provide the reformatted version with the specified structure.
The output should be formatted as a JSON instance that conforms to the JSON schema below.
As an example, for the schema {"properties": {"foo": {"title": "Foo", "description": "a list of strings", "type": "array", "items": {"type": "string"}}}, "required": ["foo"]} the object {"foo": ["bar", "baz"]} is a well-formatted instance of the schema.
The object {"properties": {"foo": ["bar", "baz"]}} is not well-formatted.
Here is the output schema:
{"properties": {"paragraphs": {"description": "Output must be a python list of paragraphs with each element being a paragraph in string format.", "items": {"type": "string"}, "title": "Paragraphs", "type": "array"}, "subheader": {"description": "A python string of the subheader you have decided for the paragraphs in totality", "title": "Subheader", "type": "string"}}, "required": ["paragraphs", "subheader"]}