Behind the video
5 Undervalued Stocks to BUY Today!
Overall Thesis
Platforms that organize physical supply could gain stronger network effects as AI agents seek reliable access to rides, food, restaurants and housing. The host sees attractive investment opportunities in Uber, Lyft and Toast, while presenting favorable business theses for DoorDash and Zillow.
Narratives
LYFTLyftThe host describes Lyft's valuation as extremely attractive and endorses owning exposure through a basket with Uber. Lyft could differentiate by supplying cheaper rides to AI agents despite its smaller network.
Key Arguments
- Forward earnings and free-cash-flow multiples are approximately 7.7 and five.
- Active riders and rides continue growing, while gross-bookings growth recently accelerated.
- International expansion and acquisitions support growth.
- A lower-price strategy could differentiate Lyft from Uber.
Risks acknowledged
- Lyft's network is substantially smaller than Uber's.
- Low valuation reflects market doubts about long-term sustainability.
- Pricing competition could pressure economics.
Predictions (1)
The host describes Toast shares as reasonably attractive while emphasizing its role as restaurant operating infrastructure. AI agents could connect directly to Toast to place orders and arrange delivery through other networks.
Key Arguments
- Toast supports restaurant staff, operations and financing.
- Direct restaurant connectivity could make it a valuable access point for AI agents.
- The host cites roughly 27% three-year compound annual growth.
- Forward earnings and free-cash-flow multiples are approximately 20.
- Additional markets offer potential expansion opportunities.
Risks acknowledged
- Agents could also reach restaurants through Uber Eats or DoorDash.
- The future agent-ordering architecture remains uncertain.
Predictions (1)
UBERUber TechnologiesThe host considers Uber attractive at its current valuation and endorses it alongside Lyft as a basket investment. Its existing driver network could become essential infrastructure for AI agents, strengthening its moat.
Key Arguments
- The host cites forward earnings and free-cash-flow multiples of approximately 17 and 11.5.
- Gross bookings are growing around 20%, margins are improving and free cash flow is positive.
- AI agents can obtain rides most efficiently by connecting to established networks.
- Uber has the largest network among the ride-sharing platforms discussed.
Risks acknowledged
- Future disruption remains possible.
- AI agents could increase pricing pressure.
- The stock's historical decline reflects market skepticism about business durability.
Predictions (1)
DoorDash's physical delivery network could remain important when AI agents order food and retail goods. The host likes the business position but does not yet own shares because its valuation is more expensive.
Key Arguments
- Its delivery network connects restaurants and retailers with customers.
- White-label delivery already supports orders placed through other companies.
- AI agents will still require physical delivery infrastructure.
Risks acknowledged
- Forward earnings and free-cash-flow multiples of approximately 29 and 21 represent a premium.
- The host does not yet own shares.
ZZillow GroupThe host views Zillow's housing listings, rental tools and property technology as a durable source of network power. Its operational position could remain valuable as AI agents search for homes and apartments, although no explicit stock-return forecast is stated.
Key Arguments
- Rental revenue has grown at approximately a 34% compound annual rate.
- Background checks, leases and property tools deepen integration with landlords and agents.
- Digital floor plans, tours and exterior models help attract supply.
- Agents may favor Zillow's concentrated inventory over searching individual property websites.
Risks acknowledged
- The housing market has weakened.
- Residential growth is approximately 8%, limiting overall growth.
- The cited earnings multiple is high despite the stock's historical decline.
Hedges & Caveats
- AI disruption remains possible, even though the host sees no current evidence of it at Uber.
- Agents could create additional pricing pressure and shift power away from consumer-facing apps.
- DoorDash trades at a premium to the other ride-sharing and delivery companies discussed; the host does not yet own it.
- Zillow faces a weaker housing market and relatively slow residential growth.
- The proposed transition to stronger network effects depends on how AI agents access physical supply.