Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

I have 30+ years of experience in financial services. I worked at Discover, Metris, HSBC, CapOne, and Citi. Most of my focus has been on automating credit design with an expertise in credit data. 

Q2. What is the implied probability of a "higher-for-longer" rate regime persisting through Q4 2026, and how will a prolonged pause at current interest rates impact debt-refinancing walls for mid-cap corporates?

The odds of rates staying higher for longer are now quite strong. The Fed kept rates steady at 3.50–3.75% during both the March and April 2026 FOMC meetings. Futures markets now suggest almost no chance of a rate cut in June, and after the April decision, they’re pricing in less than a 10% chance of any cut before year-end. The 8-4 FOMC vote to hold rates—marking the most dissents since 1992—along with ongoing geopolitical pressures on oil prices, point to this pause likely lasting comfortably into the fourth quarter of 2026. Market expectations for rate cuts in all of 2026 have dropped from about 70 basis points to just 53 basis points, meaning investors now see a roughly 70–80% chance that this “higher-for-longer” environment will stick around through Q4.

This environment is hitting mid-sized companies especially hard when it comes to refinancing. A large amount of corporate debt is set to mature in 2026, right as rates remain elevated, lenders become pickier, and liquidity tightens. The most vulnerable are companies with little or no growth, those with weak cash flow that can’t handle higher refinancing costs, issuers with poor credit ratings that depended on easy covenant-lite loans in 2020–21, and mid-market firms that lack the scale, reporting, or governance standards lenders now expect. These businesses won’t be able to simply roll over their old loans—many will need to turn to more complex options, like structured equity, preferred shares, or asset-based financing. With rates staying high, interest coverage ratios and free cash flow are getting squeezed, leading to a slow burning but steadily worsening credit stress for this part of the market.

Q3. As mid-cap corporates face these elevated refinancing rates, are we seeing private credit funds step in to absorb the maturity walls via highly structured or PIK (Payment-in-Kind) debt?

Private credit is definitely filling the gap, but often with deal structures that bring hidden risks. Private equity currently sits at $1.6 trillion, and the amount of uncommitted capital in private credit has almost quadrupled since 2014. All that money is now targeting the looming wave of debt maturities, but the quality of deal terms has fallen — lenders have been steadily weakening covenant protections in order to win competitive deals, and Payment-in-Kind (PIK) features are becoming much more common.

PIK debt acts more like a pressure-release valve than a real solution. It lets companies put off paying cash interest by rolling it into their loan balance, which can help with liquidity for now. However, Fitch reports that private credit default rates are up to 5.7% and still climbing, and PIK interest piling up on balance sheets is just pushing bigger payments down the road, not making them go away. The private credit market, now around $1.7 trillion, was built in an era when defaults were historically low — but with rates and defaults both rising, these structures haven’t really been tested. For mid-sized companies, the danger is that PIK options and loose covenants can hide declining credit quality until problems become serious, at which point recoveries on these newer, less-tested structures could fall well short of expectations.

Q4. What are the unit economics and realized Return on Investment (ROI) of Enterprise AI implementations across early adopters, and are software providers successfully pivoting from flat-rate seat licensing to consumption-based monetization models?

There’s definitely ROI in enterprise AI, but it’s not spread evenly. According to Snowflake’s 2026 research, early adopters are seeing $1.49 back for every $1 they invest in generative AI. But it’s not all rosy: an IBM CEO study shows that only about a quarter of AI projects actually hit their expected ROI, and just 16% (based on my research) have made it to full enterprise-wide scale. Teams using best practices—like rolling out AI in small steps, involving people from different disciplines, and building in data feedback loops—are reporting a median generative AI ROI of 55%. The main ways to measure value right now are cost per inference, cost per AI-generated result, ROI for each use case, and how much productivity improves per workload.

The way software companies make money is definitely shifting, but we’re settling into a hybrid model. About 59% of software firms expect usage-based pricing to make up a larger chunk of their revenue by 2026. Still, per-seat pricing isn’t going away—instead, most companies are moving to a mix: a fixed base fee (like a seat license) plus charges based on actual usage. The tricky part is that AI agents can create unpredictable usage patterns that are hard for both vendors and customers to forecast when signing contracts. Charging purely for outcomes—like a fee per resolved support ticket or completed workflow—is the most cutting-edge approach, but it depends on having strong product tracking and clear definitions of what counts as a completed outcome. Right now, I’m seeing the most per-token pricing in the software engineering world, while per-seat pricing still dominates in productivity tools, like in the Risk sector.

Q5. What is the net impact of current domestic industrial policies and green energy subsidies on the internal rate of return (IRR) for long-duration infrastructure assets?

The policy landscape shifted dramatically in July 2025. The One Big Beautiful Bill Act (OBBBA), signed July 4, 2025, materially altered the clean energy credit framework established by the IRA. Wind and solar projects must now begin construction within 60 days of enactment (by ~September 2025) and be placed in service by December 31, 2028, to qualify for credits. The Clean Hydrogen credit (45V) was terminated after 2025, residential credits (25C, 25D, 45L) expired at the end of 2025, and commercial EV credits were repealed for vehicles acquired after September 30, 2025.

IRR compression for new long-duration projects is significant. The ITC (30% of project cost) and PTC ($0.0275/kWh) were foundational to infrastructure IRRs — removing or compressing them for new projects entered after the deadlines materially narrows the return envelope, particularly for projects with 20–30-year depreciation horizons. However, some credits survived: the Section 45X Advanced Manufacturing Production Credit remains (phasing out after 2028), the 45U Zero-Emission Nuclear credit extends through 2031, and multiple credits were extended through 2029 via the OBBBA’s own provisions. Projects that locked in construction starts before deadlines retain their IRA economics; greenfield projects post-2025 face a structurally different IRR calculus, with higher equity return requirements to compensate for the loss of the subsidy stack.

Q6. When a large financial services organization scales an Agile framework, how does the shift to continuous, iterative delivery streams alter how the CFO's office capitalizes software development costs versus expensing them as operational maintenance?

Agile breaks traditional accounting bright lines. Under the legacy waterfall methodology, the three-stage model provided clean CapEx triggers. In Agile, there is no discrete “development begins” moment — planning, coding, testing, and retrospectives overlap within every sprint.  Bug fixes on capitalized features are partially capitalizable (prorated by effort), while sprint planning and retrospectives are expensed. Technical debt refactoring is case-by-case: if it enhances a capitalized feature, capitalize it; otherwise, expense it. The practical implication for CFOs scaling Agile is that iterative delivery compresses the gap between new feature development (CapEx) and maintenance/refactoring (OpEx) — requiring robust sprint-level time tracking, tagging work items to epics, and conducting “capitalization ceremonies” at sprint reviews, where finance green-lights cost allocation. Scaling Agile should adapt now to avoid a retroactive reclassification problem. More or less, the cost of a Sprint team can be capitalized. 

Q7. If you were an investor looking at companies within the space, what critical question would you pose to their senior management?

Given the intersection of all five themes above, if I were an investor sitting across from senior management of a company operating in private credit, enterprise software, or long-duration infrastructure, the single most penetrating question would be: When your current underwriting assumptions, monetization model, or IRR model was built — what was the assumed cost of capital, subsidy environment, or customer consumption curve, and what is it now? 

And walk me through exactly which line items in your unit economics change if rates stay at 3.5%+ through 2026, if IRA credits are unavailable to new projects, or if your enterprise customers revert to seat-based contracts rather than scaling consumption?