African Banks Boost AI Spending Amidst Critical ROI Measurement Gap

African banks are rapidly increasing their investment in artificial intelligence, yet a significant number, particularly at the C-suite level, are failing to formally track the financial returns on these investments. A recent survey of 277 executives across 37 African countries by African Banker and Backbase reveals a striking disconnect: while 82% of finance leaders monitor AI ROI, only 50% of C-suite executives do, creating a critical "blind spot" in a sector poised for major AI expansion. This trend suggests that much of the continent's AI growth in banking is driven by optimism and conviction rather than concrete, measured evidence.

Despite this measurement gap, institutions that *do* track AI returns report high success rates, with 85.1% meeting or exceeding projections. High-impact applications include fraud detection, transaction monitoring, and credit scoring for "thin-file" customers using mobile money data. Conversational AI, while widely deployed, shows lower perceived impact. This highlights a clear differentiator: for African banking, the discipline to measure AI's impact is crucial for realizing its full potential.

Several structural challenges impede effective AI deployment and measurement. Legacy system integration is the primary barrier, cited by over half of respondents, yet many executives underestimate its severity within their own institutions. Data localization rules in countries like Nigeria, South Africa, Kenya, and Egypt further complicate cross-border data flows essential for AI models. Pan-African banks, despite their scale, show lower rates of ROI measurement due to multi-jurisdictional fragmentation and inconsistent reporting.

The report also points to external partnerships as a driver of discipline, with banks using third-party AI vendors more likely to measure ROI (71.7%) compared to those building in-house (31%). Currency pressures, such as the devaluation of the Nigerian Naira and Kenyan Shilling, increase the urgency for banks to demonstrate AI's efficiency gains, especially as dollar-denominated cloud costs rise. African banks currently enjoy strong profitability but face a long-term efficiency problem, making AI a vital tool for cost reduction, provided its deployment is tied to measurable outcomes.

Ultimately, the report concludes that African banks don't have an "AI problem" but rather an "architecture problem." Fragmented back-office systems prevent lenders from fully leveraging advanced AI. While a pullback in spending isn't predicted, the current path of expanding AI budgets without consistent ROI tracking is deemed unsustainable, emphasizing that for those with measurement discipline, AI is already delivering tangible benefits.