After several years of compressed deal flow and constrained capital, conditions are shifting. Liquidity is re-entering the market. Bank deregulation is loosening credit. The stock market has come off its highs and investors are actively looking for alternatives - longer-term, less volatile places to put capital that has nowhere obvious to go.

For sponsors who are positioned correctly, this is a significant opportunity.

The challenge is that investors are skittish - and for good reason.

The last cycle burned a meaningful number of them. Not always through bad deals (though there are plenty of those), but through formulaic marketing that led with projected returns, said little about capital preservation or downside risk, and went quiet the moment the ink dried on the subscription agreement. Investors remember that. They are committing more carefully now, and they are choosing sponsors on different criteria than they were just a few years ago.

Our research confirms what we are hearing directly from investors: communication quality and transparency now rank alongside track record as the primary differentiator when choosing between GPs. The biggest hesitation when evaluating a new opportunity is as much sponsor integrity and responsiveness as it is market risk. Investors are not just committing to a deal, they are prioritizing more than ever before whether they trust the person on the other side of it.

The AI noise problem.

As AI becomes ubiquitous, the volume of sponsor communications is rising sharply. Newsletters, deal summaries, investor updates, market commentary, capital formation marketing - all of it is becoming easier and cheaper to produce. Most of it is becoming less useful as a result. Formulaic marketing, which was already a problem, is now industrial-scale formulaic marketing. Investors are not reading it and they are certainly not being persuaded by it.

The sponsors who will prevail in this environment are not necessarily those using the most sophisticated technology - though that helps and they should. Rather, they are those putting the most sophisticated thinking into what the technology produces. Garbage in, garbage out is not a new principle - it applies here with particular force.

What investors care about most is the quality, consistency, and authenticity of your communication with them. Institutional-caliber communication is not a function of software and certainly not something to delegate to AI - it is a function of discipline, expertise, a genuine understanding of what investors need to hear and when - and, most importantly, an obsessive respect for your investors and appreciation for their role in your success.

What this means in practice.

The sponsors who retain investors and scale portfolios in this cycle will be those who treat the post-close relationship with the same rigor they apply to capital formation. Most do not. Communication drops sharply after financing closes, precisely when investors are paying closest attention. That gap is where trust is lost - and where it can be built, by those willing to close it.

For sponsors ready to do that, AI integration across the deal lifecycle - investor acquisition, reporting, communications, operations - is a genuine accelerant. Not because it replaces judgment, but because it extends the capacity of teams who already have it.

This is work we have been doing with sponsors for ten years - now accelerated by AI integration across the entire deal lifecycle.

If this describes the gap you are trying to close - or the opportunity you are trying to get ahead of - reply to this email. We take on a limited number of private client engagements and this is exactly the kind of work we do.

Adam

PS. The SEC just published a final rule requiring all Reg D issuers to demonstrate baseline AI competency before filing new offerings - after lobbying pressure from the hyperscalers.

​More on LinkedIn here.​

Please join the conversation - I'd value hearing your views on this in the comments over there on LinkedIn.

This Week's Podcast

Guest: Tyler Sellars, CEO, TryCactus

Underwriting CRE at Speed with AI

Want to screen (waay) more deal flow for your acquisition pipeline than you do currently?

In brief:

The ability to underwrite more deals accurately - without disrupting your existing process - is the core bottleneck for acquisitions teams. TryCactus, featured in my latest AI demo podcast, removes that constraint. It lets you screen more deals, in less time, so you can identify winners faster than the competition.

Tyler Sellars, co-founder and CEO of TryCactus, and I recorded a demo of his platform and you'll find that, while it uses AI to deliver robust, fast, easy to use underwriting output, it doesn't feel like AI at all - which is why you'll also realize it's a minimum standard if you want to compete effectively.
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Here’s how it helps in sourcing deals:
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-> Screen more deals, in more depth, faster.
-> Analysts shift from data entry to decision-making.
-> Audits inconsistencies across data room docs automatically.
-> TryCactus ingests full data rooms and auto-fills your proforma.
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One feature I particularly like - after auto-populating your model from the seller’s data room, you can click any input and instantly see the exact source document it came from.
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That means faster verification, fewer errors, and more confidence in IC presentations.
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TryCactus also pulls relevant comps and rent data directly into your workflow using sources you already rely on - no more jumping between apps to build your model.
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And the real advantage - you keep using your existing Excel file. Upload your model, and it populates it with full data room inputs while preserving your formulas and assumptions.
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For acquisitions teams screening hundreds of deals to find one winner, that kind of speed matters.

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If you would like to contribute to this conversation, I have published on LinkedIn also.

​Access that post on LinkedIn here.​

​And click here to listen to or watch the demo.​
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​​If this is your first time seeing this newsletter, please click here to subscribe.​

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