@nicochristie Serious question: is 'Shortcut' for PPT coming anytime soon? If Shortcut Excel plug-in advantage vis-a-vis Claude is transferred to PPT, that would be a game changer.
@Clearingfog_ Of course trying to convert a GL to a P&L with will prompt will turn out into a poor output. But If you do it sequencially (Ask to build bridge, then mapping, then P&L) it will turn out to be pretty good.
@Restructuring__ I've found it particularly useful to convert GLs into databooks (GL -> Bridge -> Mapping) that will feed into my model. This used to take me days, now is just a few hours.
@FundamentEdge@blueprintsmb22 Another common bias I've noticed is how overly affirmative people (usually software developers) are about AI already being able to build thorough financial models, when in reality we're still far from that.
This AI is going to take over white collar jobs/ change life as we know feels overdone.
Does anyone remember PIBs (public information books)? These terrible wastes of paper used to be made for junior investment banking analysts to spread out comparable company analysis and including public filings such as 10ks, 10qs, public transcripts, sellside research, earnings transcripts, etc.
Analysts literally would pore over these for HOURS to scrub clean EBITDA numbers by reading public filings to strip out 1x items. When Factset and CapitalIQ came out with excel plug ins 2 decades ago, I remember investment banking VPs saying "oh man, the analyst role is dead."
Pretty sure the junior investment banking role exists, especially with private equity trying to get their hands on them before they have even started first year analyst training (aware that's changing now).
Majestic (now M Science) was one of the first 3rd party data companies trying to estimate revenues for public companies. A decade ago, we saw massive growth in 3rd party data with Earnest, Yodlee, Yipit, etc getting into the game. I remember buyside investors asking IR about the data and they wouldn't comment but would concede their APIs were probably a bit too generous/easy to scrap.
The mega pods invested a ton of money into these data sets and even tried to come up more data driven ways to construct books/generate alpha. A buyside product using solely models without star payouts? The holy grail. Synthesis, Cubist, etc...whatever happened to these initiatives at the big pods?
It seems now the model at the mega pods is doubling down on the 2% of the industry that can manage 5-10 sub portfolio managers and run $5-10bn consistently.
You can't ignore AI and technology advances, but the idea that alot of jobs are going away seems a bit too doomer. I just think we'll see a bigger spread in performance from those individuals and companies that embrace AI and how it can make them more effective serving customers.
What I don't think can really be disputed is that AI will be incredibly deflationary for alot of white collar roles. People need to be self aware if their roles are exposed to this risk and either figure out how to use AI to increase the value they are providing for their employer and customers or figure out how to pivot into a career path less exposed to this risk.
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I’ve been pretty hard on @tryshortcutai@nicochristie in the past, but I actually found a great use case for it: organizing Investor Logs, databases, or Investor Outreach Excels. I’m impressed
Sell-side CIM quality has tanked since AI. Got a new one for an asset PE bought 5 years ago. Old CIM is way better. This is AI generated and barely proofread with generic fluff and no edge. Bankers relying too much on genAI is ruining it. Anyone else seeing this trash?
@Clearingfog_ I hate working with lawyers who can't do anything beyond their narrow scope of work and who do the bare minimum to close deals, only to hit you with a hefty bill at the end of the month.
I’m looking for the top AI voice assistant tools for finance, something like having a 24/7 on‑call analyst I can consult anytime that don’t reply with generic stuff. Any suggestions?