Italian digital bank Fineco is shifting more of its artificial intelligence operations in-house, swapping some third-party models for open-source alternatives that run on its own servers. The move is designed to give the bank tighter control over costs and reduce its exposure to technology-provider risks as AI usage expands.
What's happening
Fineco's CEO, Alessandro Foti, told Reuters that the bank wants a "hybrid" setup: some services will remain in the cloud, but "critical components" will be managed directly. This means replacing certain commercial AI models with open-source ones that Fineco hosts on-premise—on its own hardware—rather than relying entirely on external vendors.
Open-source AI models are freely available for anyone to use and modify, but running them requires significant computing infrastructure and technical expertise. By hosting them internally, Fineco can avoid per-use fees charged by third-party providers and keep sensitive data within its own systems.
Why it matters
Fineco has built its business around a lean, technology-driven operating model, offering online banking, brokerage, and asset management without the cost of a large physical branch network. Keeping AI in-house fits that strategy, potentially lowering long-term expenses and giving the bank more flexibility to customize its tools.
For everyday investors, the shift highlights a broader trend: as banks and other financial firms increasingly rely on AI, they are weighing the benefits of external services against the risks of vendor lock-in and data privacy. Companies that can manage AI efficiently may gain a competitive edge, while those that over-rely on third parties could face higher costs or service disruptions.
What it means for investors
For Fineco shareholders, the move signals a focus on cost discipline and operational resilience. If successful, it could support profit margins and reduce the risk of unexpected tech-related expenses. However, running AI in-house also requires upfront investment in hardware and talent, which could weigh on short-term results.
Investors should watch how Fineco balances these costs against the expected savings. The bank's ability to execute this transition smoothly will be key, as AI is becoming central to everything from customer service to fraud detection and trading algorithms.
This story also fits into a wider conversation about technology spending in the banking sector. Many banks are boosting profits through higher interest income, but they are also investing heavily in digital infrastructure. Fineco's approach—choosing open-source over proprietary models—could serve as a case study for other institutions looking to cut costs without sacrificing capability.
Broader context
Fineco is not alone in reassessing its tech partnerships. Across Europe, financial firms are increasingly scrutinizing their reliance on a small number of cloud and AI providers, partly due to regulatory concerns and partly for cost reasons. Italy's government has also been vocal about wanting its banks to be more proactive in the market, as the finance minister recently urged banks to be hunters, not prey.
For Fineco, keeping AI in-house could also help it differentiate its services. By fine-tuning open-source models on its own data, the bank might offer more personalized advice or more efficient trading tools, potentially attracting new customers.
Looking ahead
The transition to a hybrid AI model will likely take time. Fineco will need to ensure its on-premise systems can handle the computing demands of modern AI, which often require powerful graphics processors and large data storage. The bank has not disclosed specific figures on expected savings or investment costs, so investors will be looking for more details in future earnings reports.
In the meantime, the move underscores a growing trend: companies are realizing that AI is not just a plug-and-play service but a strategic asset that may be worth owning. For Fineco, that means more control, but also more responsibility.
