Private equity’s harder era rewards firms that turn sector specialization into an always-on operating model — one that sources years ahead and underwrites value creation and exit at entry.
The consulting consensus on private equity has rarely been so unanimous, or so blunt. The conditions that manufactured a decade of returns — falling rates, expanding multiples, cheap leverage — are gone. What replaces them is harder to come by and harder to fake. As McKinsey frames it, alpha must now be made rather than assumed. The question for every general partner is no longer whether that is true, but what system actually produces it.
The consensus: alpha must be made
The numbers behind the slogans are sobering. StepStone analysis cited by McKinsey finds that leverage and multiple expansion drove roughly 59 percent of private equity returns on deals done between 2010 and 2022 — the very levers that have now largely run dry. Bain frames the new math as “12 is the new 5”: where a deal once needed about 5 percent annual EBITDA growth to pencil, today’s pricing and financing demand closer to 12. Distributions tell the same story. McKinsey reports that five-year rolling DPI as a share of assets fell to its lowest recorded level in 2025, even as more than half of buyout-backed companies have now been held longer than four years.
The prescriptions converge. McKinsey argues that operational value creation must move from a late-stage acceleration tactic to an early, sustained discipline underwritten in the thesis itself. Bain is more pointed still: winning firms will secure advantage by proactively identifying targets years ahead of any deal, and will turn differentiation — through scale, specialization, or execution — into a repeatable, data-backed system rather than a marketing claim.
The prescription is clear and nearly unanimous. The infrastructure to follow it is what the market still lacks.
Three gaps between prescription and practice
The advice is right. The difficulty is that almost no one is equipped to follow it. A scan of the literature surfaces three gaps.
First, sourcing. Everyone now agrees origination should be proactive and years ahead. Yet sourcing remains overwhelmingly relationship-led and intermediated, and the coverage data is humbling: one widely used benchmark found that private equity firms see, on average, fewer than one in five of the relevant transactions in their own target markets. You cannot source years ahead in a sector you only watch one deal at a time.
Second, value creation. The consensus says to underwrite the operational thesis — adjacencies, add-ons, margin levers — at entry. But the sector knowledge required to do that credibly is typically rebuilt from scratch for each deal, by a new team, under time pressure. The add-on pipeline that justifies a platform is rarely maintained as a living asset.
Third, exit. With DPI under pressure, firms are told to underwrite the exit at entry. In practice the buyer universe is assembled at exit — two to five years too late to shape the thesis it should have informed.
Beneath all three sits a quieter gap. AI in private equity is still mostly a point solution — faster diligence, quicker screening — bolted onto a workflow that remains episodic. The tooling improved; the operating model did not.
The always-on operating model
Closing these gaps requires treating a sector, not a deal, as the unit of analysis — and watching it continuously. That rests on four capabilities.
A living industry taxonomy that resolves a sector into its real segments, sub-segments, and adjacencies, and stays current as it consolidates. Coverage of both sides at once — who is acquiring and why, who is consolidating, where capital is concentrating, and which assets are quietly coming into play. Every company linked to that taxonomy and to its own strategic priorities, not only the names in a current process. And predicted transaction likelihood, for buyers and sellers alike, before anyone is at the table.
For a general partner, that is not abstract. It is a proprietary origination engine that flags likely sellers years early; a standing, ranked add-on pipeline for every platform; an operational and competitive map that lets a thesis be underwritten with conviction at entry; and a forward view of the exit buyer universe at the moment of purchase rather than the moment of sale.
Why now
The consultants have written the prescription with unusual clarity: specialize, systematize, source ahead, create value early, and back it all with data. What the market still lacks is the infrastructure to live up to it. That is the gap Espalier was built to close — an always-on decision intelligence system that knows a sector continuously, so origination, value creation, and exit are underwritten from a single view.
In an era where alpha must be made, the firms that win will not be those with the best slogans about it. They will be the ones that built the system.
