Welcome to this week’s edition of The Private Capital Compass, a curated weekly analysis from Private Capital Global designed to cut through the noise and surface what matters most and what it means for investors and operators.

In this edition, we examine how OpenAI and Anthropic are building enterprise AI consulting structures alongside major PE consortiums, what FTI Consulting's 2026 AI Radar reveals about the growing performance gap between funds treating AI as a discipline versus those still running pilots, and why McKinsey's latest exit research confirms that the margin for late-stage improvisation has essentially closed. We also cover Bain Capital's acquisition of Perpetual's wealth management arm as a window into private equity's accelerating push into financial services infrastructure globally.

We take a deeper look at the war for talent through the lens of a recent PCG webinar, where leading talent partners from across the venture and private capital ecosystem examined how AI is compressing the recruiter's administrative load, raising the bar on every hire, and forcing the talent function to evolve from a connector role into a true operating discipline.

Compass Points

PCG’s Recap and Take on the Stories of the Week

• Exit Prep Begins Years Before Exit: The private equity exit environment remains under significant structural pressure, and the firms navigating it successfully are the ones that treated exit planning as a Day 1 discipline rather than a late-stage scramble, according to a recent McKinsey & Company article. The numbers frame the challenge plainly. The global backlog of buyout-backed companies held for longer than four years has reached 16,000, representing 52 percent of total buyout inventory and the highest share on record. Average holding periods have extended to 6.6 years, well above the 6.1-year historical average. Against that backdrop, exit count fell 15 percent in 2025 even as total exit value rebounded 41 percent, reflecting a market where fewer but larger transactions are clearing. McKinsey identifies seven practices separating top-performing firms from the rest, with early and embedded exit planning at the center. Leading firms link their investment thesis to a planned exit strategy at acquisition, revisit that plan every six to twelve months throughout the holding period, and launch formal exit-readiness programs 12 to 18 months before a planned divestment. Value-creation plans are structured to leave visible upside on the table for the next owner. And AI readiness has become a distinct diligence category, with buyers increasingly evaluating whether portfolio companies have a credible AI road map across functions before committing to a price.

  PCG Take: The McKinsey data confirms what the best operators already know: the exit is won or lost long before the process launches. Sponsors who treat exit preparation as a pre-sale event are already behind. The value-creation plan, the management team depth, the AI readiness story, all of it needs to be built into the holding period from the start. With 52 percent of buyout inventory aging past four years and buyer scrutiny tightening, the margin for late-stage improvisation has essentially closed.

• Why Middle Market PE Is Moving Fast on Medtech: According to a recent episode of Private Capital Global's Private Capital Insiders podcast featuring Thom Busby, Partner at Mirus Capital Advisors, the medical device services sector is generating real deal activity, and the conditions driving it are structural. Three converging forces are fueling the momentum. The current administration's push for American-made goods and onshore manufacturing has created fresh demand for domestic medical device production capabilities. Supply chain vulnerabilities exposed during COVID have prompted strategists to build redundancies into their supplier networks. And generalized private equity groups are recognizing medical device manufacturing and services as a high-margin, consolidation-ready vertical with defensible growth characteristics. The result is a competitive market for quality assets. Founders operating medical device CDMOs with $20 to $25 million in revenue and $2 to $5 million in EBITDA are seeing multiple term sheets and leverage shifting back in their favor. Busby noted that buyer diligence has sharpened considerably, with PE deal teams placing increasing weight on quality of earnings, management team depth, IT infrastructure readiness, and financial planning sophistication.

  PCG Take: Founders who wait for a perfect window risk missing a market that is already moving. As noted on the podcast: "If you're a CEO thinking about a transaction in the next one to three years, the time to build that infrastructure is today, not the week before diligence starts."

• How AI Is Reordering Private Equity Performance: FTI Consulting's 2026 Private Equity AI Radar, drawing on survey responses from 200 fund and operating leaders, finds that 95 percent of funds report AI initiatives meeting or exceeding their original business case criteria. Revenue acceleration leads the priority list at 41 percent, followed by cost optimization, underwriting improvements, and more structured exit preparation. Critically, FTI notes that many of these initiatives are outperforming their original projections, not because the technology overdelivered, but because the business cases were conservatively scoped to begin with. The implication is that most funds have been measuring AI against a low ceiling. The actual value sitting inside PE portfolios is considerably larger than what has been formally tracked or claimed. Adoption is moving from experimentation into production across deal selection, value creation planning, and exit readiness. But penetration remains uneven, and the distance between funds running isolated pilots and those embedding AI systematically across the investment lifecycle is growing with each passing quarter. Talent is the constraint that keeps appearing, cited by 35 percent of respondents as the primary barrier to scaling further.

  PCG Take: The funds building systematic AI capability across their investment lifecycle are not just more efficient. They are making better decisions earlier, compressing value creation timelines, and arriving at exit with a cleaner, more defensible story for buyers. 

• Beyond Direct Lending: Why Asset-Backed Finance Is Having Its Moment: Private credit's decade-long growth story is entering a more complex chapter, and the firms navigating it well are the ones broadening their toolkit, according to a recent report from J.P. Morgan Private Bank. While direct corporate lending remains the dominant allocation in most private credit portfolios, compressed spreads and normalizing yields are pushing managers to identify new return sources. Asset-backed finance, or ABF, has emerged as the most compelling answer. Unlike direct lending, where credit risk concentrates around a single borrower's enterprise value and cash flow, ABF distributes risk across diversified pools of contractual cash flows secured by tangible collateral ranging from auto loans and equipment leases to residential mortgages and consumer receivables. The structural case is reinforced by bank retrenchment. Post-crisis regulation made asset-intensive lending far less attractive for traditional banks, and private capital has moved into that gap. The global investable ABF market is estimated at roughly $7 trillion today, with private capital representing only about 5 percent of that total compared to its 9 percent share of corporate lending. J.P. Morgan sees that gap closing. Evergreen and open-ended fund structures are also maturing to better match ABF's self-amortizing cash flow profile, removing a friction point that previously kept some managers on the sidelines.

  PCG Take: The managers who built their franchise on direct lending alone are now competing in a crowded trade. ABF is where differentiation lives for the next cycle. The question today is whether your allocation is diversified enough to hold up when corporate spreads continue to tighten and the easy vintage years are firmly in the rearview mirror.

• Private Equity and Big AI Are Building Something Big: Leading AI developers OpenAI and Anthropic are each in active discussions with separate consortiums of major PE firms to create what would effectively function as enterprise AI consulting and implementation arms. The OpenAI conversations involve firms including Advent International, Bain Capital, Brookfield, and TPG, with a structure that would position the venture as a majority-owned OpenAI subsidiary staffed by forward-deployed engineers capable of both advising and implementing AI solutions across portfolio companies. Anthropic's parallel discussions with Blackstone, Hellman & Friedman, and Permira point toward a joint venture structure, though final terms remain unresolved. The strategic logic is straightforward on both sides. PE firms are sitting on portfolios full of software companies under competitive pressure from AI, and many of their portfolio company CEOs have already lost time and capital on AI experiments that delivered nothing. The AI labs, meanwhile, need a faster path into the enterprise than cold outreach to individual companies allows.

  PCG Take: This is the most significant structural development in the PE-AI relationship to date, and it reframes the conversation entirely. PE firms that secure a seat at this table early are not just buying AI access. They are buying implementation infrastructure at scale, and that is what has been missing. The firms on the outside of these consortiums will face a compounding disadvantage. Their portfolio companies will not just lack AI tools, they will lack the expertise that turns those tools into margin.

Deal Spotlight:  Bain Capital Bets on Australian Wealth as Public Firms Step Back

Transaction: Bain Capital has agreed to acquire the wealth management arm of Australian financial institution Perpetual Limited for an upfront cash payment of A$500 million, approximately $350 million USD, with additional consideration structured as a performance-linked payment prior to close and an earn-out of up to A$50 million tied to post-completion results in the accounting and wealth operations. The transaction is expected to close toward the end of calendar year 2026. For Perpetual, a firm founded in 1886, the sale represents a decisive move to streamline its structure and concentrate resources on its two remaining core businesses. The wealth management unit generated A$235.6 million in revenue in 2025, up from A$226.8 million the prior year, though underlying profit before tax contracted five percent to A$51.5 million. The deal caps a prolonged period of strategic uncertainty for Perpetual, which rejected a A$1.7 billion consortium bid in 2022, turned down a A$3.1 billion offer from its largest shareholder in 2023, and terminated a A$2.18 billion transaction with KKR in 2024 before ultimately landing on this sale to Bain.

Why It Matters: The Bain Capital acquisition of Perpetual's wealth management business is not an isolated transaction. It is the latest and most visible data point in a structural shift playing out across global financial services, where listed institutions are methodically retreating from wealth management precisely as private equity moves to fill the space they are vacating. The dynamic is unfolding with particular force in Australia, where the superannuation system has created one of the deepest pools of long-duration capital in the world. Foreign firms have been competing aggressively for a foothold in this market, and Bain's successful bid for Perpetual follows its earlier pursuit of Insignia Financial, which ultimately agreed to a takeover by CC Capital Partners in a A$3.3 billion process. The competition for Australian wealth assets is real, well-funded, and unlikely to slow.

The structural logic driving private equity interest in wealth management is straightforward. These businesses generate recurring, fee-based revenue that is relatively insulated from the cyclical pressures that compress margins in more transaction-dependent models. For a PE sponsor with a five to seven year investment horizon, a platform with stable revenue, an established client base, and room for operational improvement represents a compelling foundation. The deal also illustrates the increasing willingness of private equity to absorb complexity that public market investors have grown impatient with. Perpetual spent years navigating failed transactions, rejected bids, and strategic drift before arriving at this outcome. Public shareholders repriced that uncertainty into the stock. Bain is now betting it can strip out that complexity, sharpen the operational focus, and rebuild the margin profile that the public market struggled to value appropriately. 

Deep Dive: The New War for Talent in Private Capital

The competition for exceptional talent has always been central to building high-performing organizations, but the rules of that competition are shifting faster than most firms have adjusted. A recent webinar brought together talent leaders from across the venture and private capital ecosystem to examine what the war for talent looks like today, how AI is reshaping the function from the inside, and what it means for the firms and portfolio companies trying to build winning teams in this environment. The conversation opened with a clear consensus: talent density has replaced headcount as the defining metric. Firms are no longer asking how many people they need to fill a function. They are asking what AI can handle, what it cannot, and how to hire precisely for the gap.

The result is a preference for multi-tool players who can operate with judgment, build relationships, and navigate rooms in ways that automation cannot replicate. One fund manager captured it plainly: the analyst profile from three years ago is functionally obsolete. Financial modeling, deck building, and data compilation are now table-stakes AI outputs. The hire that matters today is the person who can work alongside those tools while contributing the credibility and human presence that no model delivers.

The AI Talent Market Is in a Category of Its Own

This shift is most visible at the senior end of the market, particularly in AI and machine learning roles. Demand for AI researchers and technically deep leaders has surged, with recruiting volumes for these roles reportedly up 88 percent since 2025. Compensation has followed, with base salaries for AI researchers ranging from $300,000 to over $1 million depending on stage and company size. Beyond cash, candidates in this segment are negotiating for compute access, the right to publish research, and dedicated time for independent work. These are not standard terms, and they signal how much leverage sits with candidates who possess the right technical credentials.

The pool of individuals with genuine expertise in building and scaling AI agents remains small, and every major lab, fund, and growth-stage company is competing for the same people. Unlike general engineering and product leadership searches, which follow standard compensation bands and established hiring playbooks, AI research recruiting requires a fundamentally different pitch. Firms that win these candidates are not competing on cash alone. They are competing on the quality of the technical challenge, the freedom to do meaningful work, and the opportunity to be at the frontier of something that does not yet have a defined ceiling.

The Talent Partner Role Has Become an Operating Function

The talent partner function itself is evolving just as rapidly. What was once a relationship-driven connector role has become a hands-on operating function. Talent teams at leading firms are now embedded in applicant tracking systems, running multi-touch candidate outreach sequences, conducting screens, and in some cases being brought into competitive deal processes before a term sheet is signed. The ability to demonstrate that a fund can support a founder across talent, finance, legal, and operations has become a differentiator in crowded rounds. This is a meaningful departure from the model that dominated even five years ago, when talent partners operated largely downstream of investment decisions.

AI tooling is compressing the administrative burden that once consumed 30 to 40 percent of a recruiter's time. Sourcing platforms, automated outreach sequences, CRM integrations, and transcription tools are handling the logistics layer, which means the talent professionals who survive and advance in this environment are those who can apply judgment, build trust with founders, and identify the human qualities that no screening tool captures. Teams are getting leaner and the bar is getting higher simultaneously.

Portfolio Prioritization Requires Both Data and GP Alignment

The operating model for managing talent support across a large portfolio has also become more structured. Leading teams are running regular portfolio reviews with senior partners, using traffic-light systems to track search progress across dozens of active roles, and aligning quarterly priorities directly with GP feedback. The firms doing this well are not just responding to requests. They are anticipating where leadership gaps will create value destruction before a board meeting surfaces the problem.

Portfolio companies retain full autonomy over hiring decisions, with the fund's talent infrastructure serving as a supplemental resource rather than a directive one. The distinction matters. Founders respond differently to partners who arrive with compensation benchmarks, curated candidate pools, and vendor relationships than they do to those who appear to be managing their process. The most effective talent teams treat founders as clients with full authority, and position their support as an accelerant rather than an oversight function.

The Next Five Years Will Demand a Different Kind of Expertise

Looking ahead, the conversation surfaced an uncomfortable but honest question: does the traditional talent partner role exist in its current form, or does it transform into something closer to organizational design consulting? With AI compressing the administrative load of recruiting and shrinking the headcount required to run portfolio companies, the talent function will increasingly be asked to advise on where human capital is actually needed, where agents can substitute, and how to structure organizations that have never existed in quite this form before. The firms investing now in developing that capability will carry a measurable advantage as the market continues to shift beneath everyone.

The war for talent has never been a simple recruiting problem, and it is becoming less simple by the quarter. The firms pulling ahead are not the ones with the largest talent budgets. They are the ones asking better questions earlier. Are your talent partners operating as true business partners or are they still functioning downstream of decisions that have already been made? Are you measuring your portfolio companies by headcount growth or by the quality and density of the people you are actually putting in seats? Is your talent infrastructure built to help founders hire for the world they are entering, or the one they are leaving?

“Your talent stack is either a competitive advantage or a liability. As the operating environment shifts, the quality of the people in the seats matters just as much as the capital behind them,” said Frank Scarpelli, managing partner of Sparc Partners.

AI is not coming for talent. It is already here, and it is raising the floor on what every hire needs to deliver. The firms that treat this moment as an operational reset rather than a passing trend will build portfolio companies that are leaner, faster, and structurally harder to compete with. The ones that do not will keep filling roles the old way while watching the gap widen. The talent function is no longer a support service. It is a value creation lever, and it is time to staff and resource it accordingly.

Closing Remarks

Thank you for reading this week’s edition of The Private Capital Compass. Throughout 2026, PCG will convene investors, operators, and advisors through a growing slate of curated events in Austin, Boston, Chicago, London, New York, and San Francisco, each designed to move beyond surface-level discussion toward practical insights, peer exchange, and real-world application.

Our mission remains consistent: to deliver clear-eyed analysis, relevant intelligence, and informed perspective that helps private capital professionals translate market signals into durable value across deals, portfolios, and platforms.

We appreciate your continued engagement and look forward to navigating the year ahead together.

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