Ideas
Long-dated Treasuries lack natural buyers.
Busch argues the natural buyers of 30-year Treasuries—insurers, public pension plans, and sovereign wealth funds—have shifted toward private credit and IG corporates, while Treasury supply is huge. Higher yields have not brought them back, and he would not extend out past 20-30 years because duration and convexity risk are high and a catalyst may be needed to force a return to Treasuries.
Avoid private credit due opaque risks.
Busch is skeptical of private credit despite equity-like yields: it carries embedded credit and liquidity risk, often opaque loan tapes, redemption gates, and is now being marketed to retail after institutional demand. Trajan Wealth has largely avoided private credit and only uses select credit strategies with loan-level transparency.
Favor 3-5 year Treasuries as ballast.
With yields high and the curve positively sloping, Busch favors 3-5 year Treasuries as portfolio ballast. They provide diversification and safe-haven protection, and an investor can buy a higher-coupon 5-year and let it roll down toward 3 years if the curve stays stable. He explicitly avoids extending out 20-30 years.
Levered sectors face rate volatility.
Busch warns that the current higher-rate environment is most dangerous for levered balance sheets, including financial companies, insurers, banks, and real estate/REITs. These sectors may see elevated volatility as borrowing costs remain high.
Software stocks oversold on AI fears.
Busch thinks software stocks are likely oversold because the market has priced in severe AI disruption. He expects incumbents to adopt AI, improve margins and efficiency, and argues most customers will still want expert software for complex tasks. If AI disruption is less severe than feared, the sector has room to rebound.
Intuit AI selloff overdone.
Busch singles out Intuit: its tax-planning software sold off as an AI loser, but most Americans will not build their own tax, estate, or financial planning software with Claude/ChatGPT. Human expertise, compliance, and liability support demand, and Intuit can use AI to improve margins, so the selloff looks overdone.
Data incumbents protected by workflows.
Busch argues AI is unlikely to displace entrenched financial data and terminal providers like S&P Global, FactSet, and Tradeweb. Their value comes from data collection, costly data licenses, instant messaging/communication, and deep workflow integration; building an in-house substitute would miss key functionality.
AI buildout benefits multiple sectors.
Busch says the AI infrastructure buildout requires an all-hands-on-deck supply response across materials, industrials, utilities, and energy suppliers. The biggest constraint is energy needed to power and cool data centers, with local pushback already appearing.
Own diversified energy source portfolio.
For data-center power demand, Busch believes no single energy source is sufficient; he favors a portfolio including coal, natural gas, oil, wind, and solar. He is not dismissive of green energy because the scale of demand will require traditional and renewable sources alike.
Watch small nuclear reactors.
Busch calls U.S. nuclear power underdeveloped and is following companies developing small nuclear reactors that could power data centers. He sees it as an important potential solution to the AI buildout's energy bottleneck.
Rare earths are AI bottleneck.
Busch sees rare earth minerals as a key AI buildout bottleneck: China controls 70-80% of supply while the U.S. needs alternatives. He is following new mines, recycling, and refining of existing equipment as potential solutions.
This Monetary Matters video, published September 19, 2026,
features David Busch
discussing TLT, 30-year U.S. Treasuries, BIZD, IEI, XLF, FINANC, KBE, XLRE, IGV, INTU, SPGI, FDS, TW, XLB, UTILITIES, XLI, XLE, Coal sector, UNG, WTI, FAN, SOLAR, Small modular reactors (SMRs), URA, REMX.
11 trade ideas extracted by AI with direction and confidence scoring.
Speakers:
David Busch
· Tickers:
TLT,
30-year U.S. Treasuries,
BIZD,
IEI,
XLF,
FINANC,
KBE,
XLRE,
IGV,
INTU,
SPGI,
FDS,
TW,
XLB,
UTILITIES,
XLI,
XLE,
Coal sector,
UNG,
WTI,
FAN,
SOLAR,
Small modular reactors (SMRs),
URA,
REMX