Are Millennials Mortgage-Ready?

As the U.S. economy continues to recalibrate post-pandemic, the transportation and warehousing segments of the logistics sector are signaling caution. While the broader logistics industry has remained in expansion mode, Experian’s latest Commercial Pulse Report reveals that delinquencies are rising—an early warning of growing risk in two of the economy’s most critical subsectors.

Check out the full report to see how these trends could impact your strategy!

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The U.S. economy continues to surprise with its resilience - growth forecasts are improving, equity markets are hitting new highs, and fears of an imminent recession are fading. Joseph Mayans’ Vision 2025 session, “Navigating 2026: Global Macro Shifts, U.S. Credit Trends and the Evolving Lending Landscape,” explored the economic forces shaping the next year - from the AI-driven equity boom to structural vulnerabilities in the white-collar labor market. His key takeaway: while AI innovation is fueling growth and optimism, it also introduces new dependencies and risks that will define the next economic chapter.

Highlights:

• The AI Trade’s Dominance: Economic optimism is increasingly tied to the AI investment cycle—AI spending fuels stock gains, which in turn sustain higher-income consumer spending.
• Potential Vulnerability: Overreliance on AI-driven growth leaves the economy exposed if those massive investments fail to deliver expected productivity gains.
• Labor Market Shifts: AI is intensifying existing white-collar labor market imbalances—more graduates, fewer roles, and increasing automation pressure.
• Credit Market Implications: Rising white-collar vulnerability poses a growing risk for prime credit segments, especially if economic momentum slows.
• Future Readiness: As Sol Rashidi emphasized, humans’ edge lies in creativity and critical thinking—skills that should be strengthened, not outsourced, to AI.

Explore Experian’s latest State of Student Loans white paper to uncover key trends, borrower insights, and the evolving impact of student debt on financial health. Learn how data-driven solutions can help lenders and consumers navigate today’s student loan landscape.

Key considerations include:

• Strategies to engage consumers proactively to provide resources
• Recalibration of risk models
• Mitigating fraud while navigating the changing landscape

Home equity lending is shifting fast and hidden risks could be costing you.

• Fraud is rising: Identity theft and misrepresentation are becoming more common, increasing losses and slowing approvals.
• Workflows are outdated: Manual processes and legacy systems are creating bottlenecks and inefficiencies.
• Profitability is impacted: Many lenders underestimate how these issues affect their bottom line.