Bain & Company's 2025 Global Private Equity Report lands with a message that every operating partner and portfolio company CEO needs to internalize: the era of financial engineering driving PE returns is over. Operational value creation is now the primary path to hitting target returns.
Hugh MacArthur, Chairman of Bain's Global Private Equity Practice, calls it a "K-shaped recovery"—one that rewards the most operationally excellent platforms while everyone else fights harder for deals, talent, and capital.
For portfolio companies and the PE firms that own them, the implications are clear: you need an operational efficiency strategy, and you need it now.
The Math Has Changed—Permanently
The headline from Bain's report is stark: "12 is the new 5."
With borrowing costs stuck at 8-9% and leverage levels lower than the last decade, PE sponsors now need something closer to 10-12% annual EBITDA growth to hit a 2.5x return over a five-year hold. That's more than double the growth rate that financial engineering alone used to deliver.
Meanwhile, the liquidity problem persists. Distributions remain stuck around 14% of NAV. Fundraising fell 16% to $395B. LPs constrained by old commitments are concentrating capital with proven DPI performers—not firms still relying on narrative and multiple expansion.
The bottom line: if you're holding companies longer and can't rely on leverage or multiples, the only path to returns is making those companies operationally better.
What "Operational Value Creation" Actually Means in 2026
Bain identifies the winning model as "end-to-end and repeatable: full potential diligence, faster execution, and AI-enabled value creation across commercial, operational, tech, and sustainability levers."
That's not abstract strategy advice. It's a specific operational playbook with three components:
AI-Driven Process Efficiency
The lowest-hanging fruit in many portfolio companies is manual, repetitive work that AI and automation can reduce or route more intelligently. Revenue cycle management, claims processing, customer onboarding, internal reporting—these are processes where GenAI, RPA, and LLM copilots can support faster throughput, better controls, and cleaner management visibility when deployed against a specific operating constraint.
Cloud & Infrastructure Discipline
Many mid-market companies have unmanaged cloud, data, and reporting environments: idle resources, weak tagging, brittle pipelines, duplicated tools, and unclear ownership. Under value creation pressure, this is not just an IT hygiene issue. It is part of the execution system that determines whether management can see cost, performance, and operating progress clearly enough to act.
Day-1 Execution Speed
Bain emphasizes "faster execution" for a reason. With hold periods stretching to seven years and 32,000 companies waiting for exits, every month spent translating strategy into basic systems is expensive. The old model of spending six months on strategy before executing is too slow. PE firms need partners who can start with the operating constraint and move toward working systems quickly.
The 100-Day Operational Efficiency Playbook
At Proactive Logic, we bring pattern recognition from 200+ M&A and advisory situations into this work. Here's what the first 100 days look like when operational efficiency is treated as an execution system, not a strategy deck:
Rapid Discovery & Quick Wins
Identify the three to five highest-impact operational efficiency opportunities. Map manual processes, audit cloud and data foundations, assess tech debt, and clarify the KPI visibility gap. Deliver a prioritized roadmap with expected value, timing, owner, risk, and implementation path for each initiative.
First Wave Execution
Deploy AI automation on the top one or two process targets. Start the cloud and data foundation backlog. Stand up the first version of portfolio-company KPI visibility for sponsor and management-team review. These should not be isolated pilots—they should be scoped production deployments tied to the value creation plan.
Scale & Integrate
Expand automation to additional processes. Begin application modernization sprints for the highest-drag legacy systems. Integrate data pipelines for unified reporting. Measure and report KPI movement, adoption, cycle-time change, risk reduction, and cost discipline against the original thesis.
Institutionalize & Prove Operating Progress
Lock in governance and monitoring. Document what changed, what is measurable, and what still needs operator judgment. Build the repeatable playbook for roll-out across additional portfolio companies. Transition to steady-state operations with measurable KPIs.
Why This Moment Matters for PE Operating Teams
The convergence of several forces makes 2026 a pivotal year for operational efficiency in PE:
- AI maturity has crossed the threshold. GenAI and LLM tools are now viable for many enterprise workflow patterns. The question is not whether to adopt every tool—it is where automation can strengthen a real operating process.
- LPs are demanding DPI, not narrative. Bain notes that "LPs want a defensible identity, a repeatable alpha engine, and credible 5-year ambition anchored in distribution discipline." Operational efficiency results—documented, measurable, repeatable—are what moves the needle in fundraising conversations.
- The cost of inaction is compounding. With 32,000 companies and $3.8T in unrealized value sitting in portfolios, every quarter of operational status quo makes the exit path harder. Hold periods are already at seven years. The execution clock matters.
- The talent model has evolved. You don't need to hire a 50-person transformation team for every constraint. Fit-to-purpose senior specialists can strengthen sponsor and management-team capacity around data, automation, modernization, integration, and reporting workstreams.
The Operational Alpha Engine
Bain's report makes clear that "the cost of alpha is rising while economics are under pressure." The firms that will win in this environment are the ones that build a repeatable operational efficiency engine—one that can be deployed across portfolio companies, measured rigorously, and scaled with each new acquisition.
That means three things:
- A practical methodology (not a generic framework, but a 100-day operating cadence tied to the value creation plan)
- Access to specialized talent that can execute quickly around the constraint (not a large team that needs months to organize)
- Technology capabilities in data/KPI visibility, AI automation, modernization, cloud, and integration that translate strategy into working systems
This is exactly what we built Proactive Logic to deliver. We strengthen sponsor and management-team execution capacity around the mechanics that make value creation real: the data layer, the workflow layer, the modernization backlog, the integration path, and the senior specialist capacity needed to move work forward without replacing operator judgment.
Execution Systems to Build
What to Do Next
If you're an operating partner, portfolio company CEO, or CTO reading this, here are three immediate actions:
- Audit your operational efficiency gaps. Where are the manual processes, the cloud overspend, the legacy system drag? You likely already know the top three—the question is whether you're acting on them.
- Quantify the value creation path. Every initiative should have a business owner, expected KPI movement, implementation path, and measurement plan. If your team cannot produce that, the issue is execution design, not ambition.
- Move now. With hold periods at seven years and exit windows narrowing, delay raises the burden on the next quarter. The firms executing today are building the operating evidence that supports DPI discipline tomorrow.
The Bain report confirms what operators on the ground already know: the PE firms that will thrive in this cycle are the ones that turn operational efficiency into a repeatable, measurable engine for value creation. The question is whether you'll build that engine now, or wish you had in two years.