@chase_enloe's reel — transcript & breakdown

The video starts with a bold claim about AI use in investment banking, immediately grabbing attention with a high number (10/10) and promising increasing complexity.

“Here are 10 out of 10 ways investment bankers use AI, and they get progressively more advanced.”

The video quickly dives into specific AI tools for market briefs, offering practical, time-saving applications relevant to finance professionals.

“Use Perplexity Finance for a morning market brief before you open the Wall Street Journal.”

It continues with another valuable use case: automating meeting summaries, which highlights efficiency gains that resonate with busy professionals.

“Use Otter to record client calls and summarize action items automatically.”

This section demonstrates how AI can drastically reduce tedious research work, turning lengthy documents into concise profiles, appealing to those seeking productivity hacks.

“Use ChatGPT or Claude to turn a 100-page 10K into a one-page company profile in two minutes.”

The video showcases AI's ability to process vast amounts of data quickly, providing comprehensive insights across an entire sector, a key benefit for market analysis.

“Use AlphaSense to search thousands of earnings calls at once and get cited answers across a whole sector.”

This highlights AI's role in data extraction and integrity, ensuring accurate and verifiable financial modeling directly in Excel, which is crucial for precision-focused roles.

“Use Daloopa to pull historical financials from filing straight into Excel with every number linked to its source.”

By presenting AI as an auditing tool for complex Excel models, the video targets a pain point for finance professionals, promising error reduction and increased reliability.

“Use Copilot in Excel to audit your model, flagging broken formulas and hard codes in seconds.”

The video further elaborates on AI's capability to streamline data room analysis, consolidating information from multiple sources into a single, digestible format.

“Use Hebbia to run the same questions across an entire data room and get every answer back in one grid.”

This demonstrates AI's ability to automate complex financial tasks like generating buyer lists and precedent transactions, significantly speeding up deal preparation.

“Use Rogo to drop buyer lists, pull precedent transactions and build first pass comps from one prompt.”

The video moves to advanced modeling with AI, showing how it can build complete financial models directly from company filings, showcasing its high-level analytical power.

“Use Claude for financial services in Excel to build a full three-statement model or DCF from a company's filings.”

This final content point highlights AI's ultimate potential in generating complete pitchbooks, presenting it as a transformative tool for high-value output.

“Use Model ML to generate a complete pitchbook from your firm's templates, ready for VP markup.”

A direct call to action encouraging engagement and offering further resources, creating an incentive for viewers to interact and receive more value.

“And comment AI and I'll send you the links to every single one of these.”