u/Imaginary_Ad4003 — 9 days ago
u/Imaginary_Ad4003
In the last couple of deals I’ve been on, I’ve noticed the same pattern again and again.
The model itself doesn’t take the bulk of the time. It’s everything around it:
- tweaking assumptions repeatedly after every round of comments
- reworking the same credit note multiple times
- chasing inputs from consultants / client / internal teams
- matching numbers across model, IM, and agreements
- last-minute changes right before committee
By the time it closes, it feels like 60–70% effort went into coordination + iteration rather than actual structuring.
Curious if others are seeing the same.
What ends up taking most of your time on deals?
And do you think that part is something that can realistically be improved with better tools, or is it just how PF will always be?
u/Imaginary_Ad4003 — 10 days ago
We all know project finance depends heavily on:
- Financial modeling
- Credit appraisal notes
- Due diligence reviews
- Sensitivity analysis
- Debt sizing
- Documentation and approvals
AI tools are now improving quickly and entering many finance workflows.
So I’m curious how professionals in this space genuinely feel about it.
Do you think AI will:
- Make analysts far more productive
- Reduce demand for junior analyst roles
- Improve decision-making and speed
- Be overhyped with little real impact
- Create new opportunities for those who adapt early
If you work in project finance, lending, advisory, infrastructure, private equity, or modeling — would love to hear your honest view.
Are you excited, skeptical, or concerned? Why?
u/Imaginary_Ad4003 — 11 days ago