๐ ๐ฅ๐ฒ๐๐ฎ๐ถ๐น ๐ฏ๐ฎ๐ป๐ธ๐ถ๐ป๐ด ๐ฒ๐ป๐๐ฒ๐ฟ๐ฒ๐ฑ ๐ฎ๐ฌ๐ฎ๐ฑ ๐ฎ๐ ๐ฎ $๐ฎ.๐ต๐๐ป ๐ด๐น๐ผ๐ฏ๐ฎ๐น ๐ฟ๐ฒ๐๐ฒ๐ป๐๐ฒ ๐ถ๐ป๐ฑ๐๐๐๐ฟ๐, ๐๐ป๐ฑ๐ฒ๐ฟ๐ฝ๐ถ๐ป๐ป๐ฒ๐ฑ ๐ฏ๐ ๐๐๐ฒ๐ฎ๐ฑ๐ ๐ฏ๐๐ ๐๐ป๐ฒ๐๐ฒ๐ป ๐ฝ๐ฒ๐ฟ๐ณ๐ผ๐ฟ๐บ๐ฎ๐ป๐ฐ๐ฒ ๐ฎ๐ฐ๐ฟ๐ผ๐๐ ๐บ๐ฎ๐ฟ๐ธ๐ฒ๐๐.
๐ After several years of ~7% annual growth, expansion is expected to moderate to 2โ4% through 2029 as rate normalization, margin pressure, and volatile fee pools weigh on the topline. Customer churn remains low, with only 6% of customers globally switching their primary bank each year, intensifying competition for customer primacy and share of wallet rather than acquisition.
Meanwhile, compliance, technology, and marketing costs continue to rise alongside ongoing inflationary pressure, leaving many traditional banks structurally above 60% cost-to-income ratios, compared with ~35% for leading digital players.
Yet beneath this pressure lies one of the industryโs largest transformation opportunities.
๐ค We estimate more than $370bn in additional annual profit potential from AI in retail banking. As Jens Muendler highlights, AI-first banks can structurally reduce costs by up to 40% while reinvesting in growth, personalization, and customer acquisition. For a typical retail bank, scaling AI can lift profits by 30%+ versus non-AI scenarios while improving customer experience and satisfaction.
As 2026 planning cycles approach, the question is no longer whether AI will reshape retail banking, but which banks will move beyond pilots to become truly โAI-first.โ
๐ฉ To discuss how BCG Expand supports retail banks through data-driven insight and analysis, reach out to Jens Muendler.