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Hospitality leaders often talk about growth, but far fewer talk about what actually breaks as portfolios scale. In this episode of CircuitCast – AI Connect, John Pomeroy sits down with Taves Maciel, Area General Manager at Soartress Hospitality, to unpack the operational realities behind running branded hotels in a competitive, labor-constrained market. Taves shares firsthand experience managing Hilton Garden Inn and Homewood Suites properties through renovations, staffing shortages, and post-pandemic market shifts. He explains how leadership changes when responsibility expands beyond a single property and into budgeting, hiring, P&L accountability, and investor expectations. The conversation also dives into how hotel sales actually function on the ground: chasing sports teams, government business, construction projects, and negotiated corporate rates while competing in increasingly saturated markets. Reaching the right decision-makers remains one of the most time-consuming challenges, even with modern tools like LinkedIn. Finally, Taves offers a grounded perspective on automation and AI in hospitality. He describes using AI today to reduce manual reporting and financial analysis, allowing leaders to spend more time with teams and guests rather than behind spreadsheets. This episode is for hospitality executives who want a realistic view of modernization, not buzzwords. Key themes include: Multi-property hotel operations Revenue capture and sales execution Renovation complexity under brand standards Staffing challenges and labor economics Practical use of AI in hospitality management CircuitCast – AI Connect explores how operators are modernizing hospitality operations without losing control, culture, or accountability. YouTube Chapters: From Shuttle Driver to Area GM What Changes When You Lead Multiple Properties Managing Downturns and Cost Pressure Renovations Under Brand Standards Why Hotel Sales Is Harder Than It Looks Market Saturation and Buyer’s Market Dynamics Staffing Reality in Modern Hospitality Automation, AI, and Reducing Management Overhead