Hana Capital posted a net profit of 53.5 billion won in the first quarter of 2026, a 67.7% jump from the same period last year, under CEO Kim Yong-seok, a risk management veteran who took over the firm amid mounting asset-quality concerns. The result reflects a deliberate pivot away from aggressive growth toward credit discipline - a strategy many capital companies may need to replicate as AI reshapes how financial judgments are made.
A philosophy grounded in judgment
Kim, formerly the head of Hana Bank's credit group, has spent over 30 years in credit assessment and corporate finance. His management philosophy rests on one idea: finance is an industry of judgment. Rather than chasing rapid expansion, he prioritized soundness - a move that can frustrate short-term results but aligns with the data-centric demands of AI-driven finance. AI models that predict future risk cannot function on faulty assets or unreliable data.
Structural repair before innovation
When Kim arrived, Hana Capital faced sour overseas commercial real estate investments and rising corporate defaults in a high-rate environment. He set up a dedicated asset solutions team for post-management and split credit assessment from post-management functions. The goal was to shrink risky assets and intensively manage watchlist exposures. By cleaning up the balance sheet, the company built a foundation that can support more accurate AI models - models that rely on clean, reliable data.
Numbers that reinforce the thesis
The first-quarter turnaround was sharp. Net profit rose 67.7%, operating profit climbed 55% to 70.1 billion won, and loan-loss provisions dropped significantly. The non-performing loan ratio improved from 1.76% to 1.56%. A soundness-first approach not only prevented further losses but rapidly restored profitability - a pattern finance professionals tracking credit cycles will recognize.
Where AI fits into credit assessment
Kim sees AI not as a customer-facing chatbot but as a tool to reinvent credit evaluation. Predictive models that analyze spending patterns, transaction histories, industry outlooks, and behavioral data will become standard. Under Kim, Hana Capital is strengthening its credit assessment teams and refining risk systems to integrate AI-driven analysis while keeping human judgment at the final decision point. AI can analyze more data faster, but the structure will remain one where humans make the ultimate call.
Betting on advanced industries and retail niches
Kim is directing capital toward national strategic sectors: semiconductors, secondary batteries, and future vehicles. Hana Capital was chosen as the main financial partner for GM and BYD, signaling the firm's industrial focus. In retail finance, the company is expanding B2B car rentals and healthcare finance, including medical equipment and veterinary clinics. AI is expected to sharpen customer targeting, preempt defaults, and improve operational efficiency as the firm moves from a simple lender to a data-driven financial house.
Why this matters for finance professionals
Kim Yong-seok's early tenure shows that balance-sheet repair can be a faster route to profit growth than chasing loan volume, especially when credit conditions tighten. For risk officers, portfolio managers, and CFOs, the takeaway is direct: accurate judgment - and the clean data that feeds it - remains the most durable source of competitive advantage. As AI tools become embedded in credit workflows, firms that first invest in asset quality and assessment rigor will extract far more value from their algorithms than those that neglect the fundamentals.
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