China Merchants Bank's New President Charts a Course: AI, Cross-Border, and a Steadier NIM
Interim results show a leadership transition with a technology-forward strategy, while retail loan growth slows and asset quality remains under watch.
600036.SS · Earnings Call · 2026-08-30
A New President, A Renewed Strategic Focus
When Xiaoqing Wang stepped into the president’s office in late April 2026, he inherited a bank navigating a low-interest-rate era, intense competition, and a retail sector under cyclical pressure. In his first interim results call, he articulated a vision that blends continuity with deliberate evolution. “By the end of April, I assume my new role to be the President of CMB. And after that, first of all, I feel strong responsibility...” — Xiaoqing Wang, President · 2026-08-30 He acknowledged that CMB faces “stronger challenge compared with other banks” because of its over-50% retail loan mix and limited room to cut funding costs further. But he also framed the moment as an opportunity to double down on what differentiates the bank: extensive wealth management, technology finance, and global presence. The numbers for H1 2026 reflect that strategy in motion. Net operating income rose 4.83% year-on-year to CNY 178.1bn, with net profit attributable to shareholders up 2.02% to CNY 76.4bn. Retail AUM climbed 7.96% to surpass CNY 18 trillion, and wealth management fee income jumped 18.44% year-on-year, a multi-year high. Meanwhile, corporate loans grew 9.08%, while retail loans contracted slightly—a deliberate pivot toward quality over quantity, as Wang explained: “We do not blindly pursue scale expansion. We emphasize the philosophy of a balanced development of quality, profitability and scale.”AI: From Experiments to Tangible Impact
One of the most striking themes in the call was the dramatic expansion of AI deployment. Chief information officer Tianhong Zhou detailed concrete results: average daily token throughput up 78% year-on-year, 256 domain-specific models in production (up 40%), and 1,386 intelligent scenarios live (up 62%). “We have achieved 13.88 million equivalent employee working hours contributed by AI...” — Tianhong Zhou, Senior Management (in charge of AI/Intelligence Transformation) · 2026-08-30 For Golden Sunflower relationship managers, AI-assisted outreach raised effective customer interactions by 14.65% and transaction value per client by 35.82%. In small-business credit, AI now helps generate 90% of due-diligence report content, cutting average service time from 36 hours to 2.72 hours. This is a marked escalation from the prior quarterly call, where AI was discussed more as an experiment; now it is a driver of efficiency and revenue. The bank is also positioning AI as a strategic moat, even as it acknowledges the need for “prudent” management of model risks.Retail Pressures, NIM Stabilization
The high-yield retail loan book remains the elephant in the room. Retail NPL ratio climbed to 1.16% (up 10bps), driven by credit card and micro-loan deterioration, while the overall NPL ratio held steady at 0.94%. Head of risk Desheng Zhong was candid: “We are still having the idea that the retail loan risk is in an upward trend.” Yet he also noted early signs of improvement—mortgage NPL balance declined, and overdue ratios for credit cards fell. Management is intentionally restraining retail growth to protect asset quality, a stance that contrasts with some peers chasing volume. On net interest margin, CFO Jiawen Peng offered a cautiously optimistic outlook: “the most difficult time for NIM decline has already passed.” — Jiawen Peng, Senior Management (likely CFO or similar) · 2026-08-30 NIM fell just 5bps year-on-year to 1.83%, with the sequential decline narrowing to 1bp in Q2. Peng attributed this to stabilizing loan repricing and the near-completion of deposit cost reductions. He reaffirmed the bank’s three NIM goals: narrow the decline, retain leadership, and eventually stabilize. This echoes his prior-quarter view, but now with more conviction.Capital Discipline and Dividend Flexibility
Investors have long pushed for higher dividends given the bank’s strong capital position. In the Q&A, Peng reiterated a balanced approach: “We will, based on our capital adequacy ratio, to coordinate the asset growth, the asset return, and the financing of capital, and also dividend payout management...” He stopped short of promising a payout increase, but the 35% interim dividend ratio remains one of the highest among major Chinese banks. The bank is also managing RWA growth tightly, with CET1 at 14.07% under the advanced approach—still comfortably above regulatory minimums.The new president’s emphasis on long-term value creation is consistent with prior management’s “value creation bank” philosophy, but the tone is more action-oriented. Wang’s four pillars—extensive wealth management, sci-tech finance, cross-border/internationalization, and AI-driven intelligence—were presented as the bank’s future growth engines. These themes appeared in earlier calls, but they now carry a stronger sense of execution and measurable outcomes. For investors, the key question is whether this strategy can sustain profitability while retail risks normalize. The market will watch for continued AUM growth, further NIM stability, and tangible AI-driven cost savings. As Wang put it, “We aim to strive to maintain a stable and steady progress to deliver such results to our market.” For now, the bank’s scale and diversified platform provide a solid foundation.We should guarantee them with good results and deliver to our investors so as to guarantee their return.