Academic research is far behind the AI frontier, from finance to mathematics
A paper about a model is out of date before it clears review. In mathematics, the newest results come from a model no academic can run.
Finance research is being automated. Don't be left behind.
The tools and techniques software developers already use, brought to finance research.
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All newsVendor AI map
39 links. 25 vendors. 7 AI companies. And more coming.
31 of them were announced in 2026. The data business is being wired into the assistants while most researchers are still logging in to a query screen.
See who is plugged into whatLatest
All newsAACSB's 2026 standards never mention AI. That is a gigantic mistake.
Its own research says 97 percent of schools already cite AI in accreditation materials and nearly half lack the governance to manage it. The standards are silent.
The standalone academic data platform is running out of reasons to exist
AI assistants now ship with vendor data inside and recognize the licenses a user already holds. The query screen is the part of the platform that does not survive.
Keep paying for call transcripts, but only for the history, the identifiers and the rights
An agent now does the cleaning, splitting and scoring that used to justify a data budget. What it cannot produce is history, identifiers and the right to use the text.
OpenAI releases machine-produced math results with Lean proofs and compute figures
The results come from an internal model. OpenAI says the average result used compute equal to roughly three hours of ChatGPT Pro thinking.
A benchmark of nine factor-mining methods finds no approach consistently wins
FactorBench compares roughly five thousand machine-mined factors across five equity markets, from genetic programming to LLM agents.
Self-evolving research agents show no consistent gain from accumulated skills in a factor test
Across 18 long-horizon alpha-research runs and 48 continuation branches, evolved capabilities did not reliably beat the starting set.
Guides
All guidesAgent-first coding: use the frontier tools and pay for them
Claude Code or OpenAI Codex, desktop app or command line. Generic and budget setups hide what the new tools can do.
Make your data pull something an agent can run
Automation starts with the stage that has the clearest pass or fail. Turn the data pull into one command with checks and a manifest.
Using an AI agent on licensed data without risking your campus's access
Most data licenses forbid putting the content into AI systems. An agent can still write and repair the whole pipeline if the licensed rows never enter its context.
Negotiating an AI contract for beginners: retention, zero data retention, training and models
Four clauses decide whether an AI service is safe for research data. They are retention, training, access and model, and a sales answer on any of them counts for nothing until it is in the contract.