What’s Next for VC and PE? [Paid Substack teaser]

This is a redacted teaser of a piece that is available only to paid subscribers to my substack. To see the full piece, head over and subscribe.

We might be entering the era of the data science-literate business analyst being MVP.

… Private-equity AI roll-ups invert that; They look like mundane buy-and-build plays, but under the hood they’re building irreplicable data monopolies. Value accrues not from the steel you bolt together, but from the learning curves your algorithms climb.

This is already happening at the top end of the market, at scale. XXXXX invested into XXXXX, a XXXXX that slashed textbook production costs XXXXX and cut bug rates by XXXXX. XXXXXX bought into XXXXXX, enabling TWO BILLION datapoints to feed into a rent forecasting model in order to better guide leasing strategies across 550MM sqft of warehouses.

I think this is all good news for angel investors and VCs. After a prolonged period of depressed M&A activity, lower deal volume and a longer time-to-exit affecting recycling of liquidity and talent, a recent uptick in PE activity driven in part by such rollups offers a glimmer of exit hope.

The challenge to earlier stage investors will come mainly from portfolio construction and company maturity, judging by data from XXXXXX [Link removed].

All of these things privilege larger and more experienced operators and investors.

To be clear, I don’t think this will kill venture capital (at least in the USA…)

Please just stop saying “data is the new oil” though – this will be forever cringe.

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Every Student is a Potential Founder