Interview, Fireside Chat
‘Who’s the Next Winner?’: Diameter Capital’s Scott Goodwin
- High-profile consumer defaults are anticipated to spike as student loans reactivate, with distress expected to spread beyond low-end borrowers to 20-somethings facing prolonged unemployment post-graduation.
- Online consumer lending growth, which reached 700% over five years, is projected to remain off standard bank credit data and increasingly shift onto insurance company balance sheets.
- Housing market activity, currently suppressed by historically low sales volumes, is forecast to bounce back cyclically once the Trump administration and other authorities implement measures to unlock market velocity.
- The anticipated launch of a GLP-1 pill next year is predicted to exceed the historical penetration rate of statins, creating a secular headwind for packaging companies and sectors reliant on "junk food" consumption.
- Credit investing strategies will adopt a total return perspective similar to equity long-short funds, analyzing how macro themes will impact security prices over 3, 6, 18, and 24-month horizons.
- Twitter (X) earnings are forecast to inflect starting in Q4 2024, preceding and following the election, potentially facilitating a move of debt to public markets.
- XAI is rumored to raise approximately $230 billion or more in capital, a valuation that would render Twitter's current debt yield of 13 percent off-market if priced against the new capital structure.
- The current AI investment environment is characterized as a "super-duper microcycle" expected to outlast many investing careers, potentially including the speaker's own.
- Commercial fiber is identified as a major beneficiary as AI usage transitions from training to inference, necessitating data transport outside of data centers via commercial pipes.
- Mobile data usage is forecast to increase dramatically due to industry transitions involving IoT, robots, autonomous vehicles, cell phones, and Starlink, benefiting spectrum owners.
- Significant financing opportunities are expected to emerge in the chip sector, expanding from a previously narrow focus to a broader opportunity set.
- Concerns exist regarding the inability of Silicon Valley and big tech entities to predict chip residual values over 3 to 7-year periods, rendering multi-billion dollar bets on junior residual risk imprudent.
- The current AI software cycle is expected to result in a "slower bleed" of value rather than a sharp crash similar to the 2014 oil price downturn, though significant differentiation between sector winners and losers is anticipated.
- Software SaaS LBOs comprise approximately one-third of the Leverage Finance private credit market, while syndicated bank loans attributable to SaaS represent 15% to high teens percent of that market.
- Security-based software companies that recovered from distressed prices to par are projected to face renewed distress in five years as AI cloud providers capture market share from levered, slower-moving incumbents.
- Defaults are expected to cluster in the SaaS sector, particularly for deals originated in the late teens and early 2020s, driven by high concentration and poor portfolio construction where loans were issued at 98 to 99 cents on the dollar.
- Increasing defaults in the SaaS sector are forecast, accompanied by very low recovery rates even if default metrics are not extreme, due to rapidly disappearing cash flows and weaker loan documentation.
- The firm plans to research software credits to prepare for acquiring good businesses at unfavorable prices should the SaaS market cycle deteriorate, mirroring the energy sector experience in 2014.
- Opportunities are anticipated in syndicated bank debt and private credit to purchase distressed SaaS assets during a downturn.
- The US men's soccer team is expected to require a superior World Cup showing to positively impact the country's historically lacking talent pool and mentality.
- Leadership advisory board members anticipate that investments in coaching staff and coach Mauricio Pochettino will yield significant dividends for the US team ahead of next summer's World Cup.
- The adoption cycle of AI by companies, which distinguishes winners from losers, is forecast to be longer than the current capital expenditure cycle.