"I Don't Believe the Stagflation Narrative": How the Strong Consumer and AI Tailwinds Shape Sean Emory's Bullish Blueprint | Avory & Co

Episode Summary

Executive Summary: Sean Emery of Avery & Co. argued for data-driven, high-conviction investing in companies aligned with long-term structural trends, especially AI, automation, and changing consumer behavior. He sees the consumer as healthier than recessionary/stagflation narratives suggest, expects AI to reshape workflows more than instantly destroy jobs, and prefers smaller-to-mid-cap names with durable moats and attractive valuations.

Main Topics: Avery & Co.’s investing philosophy (Priority: 5/5): Emery described Avery as a high-conviction, growth-oriented firm that blends Buffett-like fundamentals with a forward-looking, data-driven lens, seeking companies aligned with where the world is going. Macro outlook, consumer strength, and stagflation skepticism (Priority: 5/5): He argued that tax refunds, stable housing, and ongoing consumer spending offset oil shock fears, and that inflation is lagged rather than signaling true stagflation. AI’s impact on jobs, workflows, and capital flows (Priority: 5/5): Emery sees AI as a productivity layer that will likely raise output and hiring in some areas while compressing white-collar labor demand and changing passive/retirement flow dynamics over time. Portfolio positioning in smaller and mid-cap compounders (Priority: 4/5): He explained why Avery moved down in market cap, emphasizing under-owned, mispriced companies with strong competitive positions and long operating runways. Company case studies: Block, Zoom, OmniCell (Priority: 4/5): He used individual holdings to illustrate his thesis: Block as a refocused platform with AI-enabled collaboration, Zoom as a platform expansion story with cash and Anthropic upside, and OmniCell as a healthcare automation cycle play. Housing and travel themes: Zillow and Airbnb (Priority: 4/5): He framed Zillow and Airbnb as vertical super-app candidates benefiting from AI/agentic capabilities and longer-term product expansion, not just near-term housing volume or travel rebound. Valuation discipline and the next wave of AI winners (Priority: 4/5): Emery said he is watching for a better entry point in AI-related names and wants proof of durable winners, suggesting the second time around in transformative cycles can be more attractive.

Key Arguments: The firm seeks companies that are directionally aligned with secular trends, combining top-down theme selection with bottoms-up fundamentals. Macro noise matters, but it should not overpower long-duration equity decisions when consumer spending, jobs, and housing remain stable. Stagflation is not the base case because inflation is a lagging indicator and consumer behavior signals resilience. AI is likely to change how work gets done more than simply eliminate jobs; in many organizations it may actually create demand for more skilled oversight and implementation. White-collar jobs may face greater AI pressure than blue-collar roles, but AI adoption can also increase productivity and hiring in adjacent functions. Passive and retirement flows are a major market force, and a sudden labor shock could affect those flows, but he does not expect a cliff-like collapse. Smaller and mid-cap stocks can offer better valuations and overlooked growth than mega-cap leaders, especially when market breadth is narrow. Block is attractive because of business simplification, accelerating product cadence, operating leverage, and cash generation, not just because of AI narratives. Zoom is more than a meeting tool: it is becoming a platform with phone, contact center, and chat, plus a strong balance sheet and a valuable Anthropic stake. OmniCell fits themes of healthcare automation and demographic/operating efficiency, with long renewal cycles and sole-source contracts creating visibility. Zillow is transitioning from lead-gen into a broader real-estate operating platform spanning mortgages, rentals, showing, CRM, and payments. Airbnb is expanding beyond lodging into experiences and an emerging vertical super-app model. The likely best investment opportunities will appear after valuations compress and when it becomes clearer which AI-adjacent companies are true winners.

Data Points: Avery & Co. anniversary: 10-year anniversary - Emery said the firm is hitting its 10-year mark this year. Portfolio concentration: 14 stocks to low 20s names - He described Avery’s high-conviction portfolios as ranging from 14 holdings to the low 20s. Gas prices as share of income: 1% to 2% - He said gas prices are a much smaller burden on consumers today than in prior inflationary eras. Tax refunds: 10% to 15% above last year - He cited tax refunds as a consumer tailwind in the current year. Consumer spending indicators: Record highs in TSA throughput - Used to support his view that consumers are still traveling and spending. OpenTable reservations: Consistent / stable - Another indicator he cited to show continued consumer resilience. Market breadth: Sub-25% of index outperformed over the last three years - He said only a small share of stocks beat the index, creating opportunity in the rest of the market. AI survey time spent: 6 minutes average; 30 minutes for more professional investors - He referenced a study showing compressed research time horizons. Time on charts in professional research: 14 minutes of 30 minutes - He cited the portion of professional-style research time spent on price charts. Block valuation: Low teens multiple - He said Block trades at a low-teens valuation while growth is accelerating. Zoom cash: $8 billion - He noted Zoom’s large cash balance as a balance-sheet strength. Zoom debt: No debt - He highlighted Zoom’s debt-free balance sheet. Zoom annual free cash flow: Roughly $2 billion - Used to support the investment case for Zoom. Zoom Anthropic stake: $53 million initial investment; now roughly $2+ billion - He explained the stake as a meaningful but secondary upside driver. Zoom revenue share from largest customers: About one third / roughly 40% / 60% enterprise mix as stated in discussion - He described Zoom’s customer mix using multiple enterprise segments and direct sales touchpoints. OmniCell recurring revenue: 50% to 60% - He said recurring revenue is rising as the company flattens volatility. OmniCell market share: From 30% to 60% - He said the company has gained share in hospital systems and acute care facilities. OmniCell problem size: $300 billion - He framed medication theft, waste, and errors as a large avoidable healthcare cost. Zillow traffic: 2 billion quarterly visits - He cited massive traffic as part of Zillow’s undervaluation argument. Zillow monthly traffic: 220 million monthly visits - Used to compare Zillow to top internet assets. Zillow rentals units: 75,000 units - He cited the scale of Zillow Rentals. Zillow rental revenue target: On the way to $1 billion - He said rentals are moving toward a billion-dollar revenue line. Zillow payments volume: $10 billion - He noted payment volume flowing through Zillow’s platform. Airbnb experiences mix: 50% of experienced users were not booking a home - He used this to illustrate Airbnb’s expansion beyond lodging. Existing home sales: Around 4 million - He cited current existing home sales levels as depressed versus cycle peaks. Cycle peak in home sales: Around 6 million - Used as a reference for historical housing market peaks. Mortgage rates: Sub-5.5% before recent war-related moves - He said lower mortgage rates had been helping housing activity before geopolitical shock. AI investment horizon quote study: Average investment time spent was six minutes - Referenced as evidence that markets are becoming more trader-like.

Pivotal Quotes: "Our slogan is investing forward" — Sean Emery: Explaining Avery & Co.’s philosophy of buying companies aligned with long-term directionality. "I don't believe in the whole stagflation narrative. I actually don't think those two things can align." — Sean Emery: His macro view that consumer data and inflation dynamics do not support a stagflation base case. "Human first oversight with AI is my best use case" — Sean Emery: Describing how Avery uses AI internally for investment work and operations.

Implications: Listeners should expect AI to reshape research, workflows, and labor composition before it cleanly removes jobs. For investors, Emery’s framework favors durable, cash-generative, underappreciated compounders over crowded mega-cap trades, especially when valuations reset.