Fintech and AI: Adoption Grows, but Profits Favor Agile Innovators

AI is becoming standard in the global financial services industry, but the implementation of projects doesn’t always translate into higher returns. And this is where it gets interesting: The industry has long since moved beyond the early experimental phase, but only a fraction of companies are proving that Artificial Intelligence can structurally increase margins, optimize efficiency, and measurably boost profits.

​A 2026 global report by the Cambridge Centre for Alternative Finance (CCAF) found that 81% of financial institutions now use Artificial Intelligence to some extent, with agent-based systems officially entering the mainstream. However, behind the headlines about adoption rates lies a significant implementation gap: most organizations still struggle to transition from isolated, project-based use cases to broader, enterprise-wide strategic integration.

The implementation gap

For investors, this implementation gap represents the potential for alpha. In Germany, a parallel study by Cofinpro revealed that while 78% of banks are using AI productively, 70% of initiatives remain isolated projects lacking strategic coordination.

The companies that should be in focus right now are not those launching speculative pilot projects, but rather the agile players leveraging digital-first architectures to fundamentally transform their unit economics.

The Cambridge report highlights a crucial structural reality for investors: fintech companies are more than three times as likely as traditional financial institutions to have reached the advanced stages of Artificial Intelligence adoption (19% versus 6%). Digital-first players are simply moving faster, and that’s precisely why their operational leverage is accelerating so aggressively.

The AI ​​ranking for profitability

The following players illustrate how various financial companies – from established giants to agile neobanks and rapidly growing all-in-one apps for your finances – are translating AI into concrete, tangible business results.

Pursue Type of institution Core AI implementation Direct P&L indicator / development
Commerzbank (CBK.DE) Universal bank Ava Assistant, ComGPT, fraud AI Target: Value contribution of €500 million per year until 2030; record net profit of €913 million in the first quarter of 2026.

Klarna (KLAR) Payment transactions / BNPL 2/3 of support automated; AI-powered marketing campaigns Turnaround from over $1 billion loss (2022) to $120 million net profit (2025).
Revolut (not publicly traded) Neobank Over 75% of requests are handled autonomously; AI voice assistants Excellent profit margin of 38% on sales of £4.5 billion in the financial year 2025.

NAGA Group (N4G.DE) Social Trading and Investing 66% support automation; upcoming launch of “AI Signals” First profitable first quarter in the company’s history (€0.5 million); doubling of the EBITDA margin to 15.8%; turnaround.

Commerzbank as a benchmark for established banks

Commerzbank serves as a useful benchmark, illustrating how an established giant manages significant AI infrastructure expenditures. The bank has allocated a budget of €600 million for Artificial Intelligence transformations through 2030 and aims for an annual value contribution of €500 million by the end of the decade – primarily through projected cost savings of €350 million.

Crucially, this aggressive restructuring simultaneously serves as a central, independent defense mechanism against the unwanted takeover pressure from UniCredit. While Commerzbank’s current implementations already generate over €10 million annually, further restructuring for efficiency remains a long-term, multi-year project.

Radical economic reversals at the business unit level

To obtain immediate proof of concept, investors need to look to the more agile, digitally oriented market leaders:

Klarna: A prime example of structural cost transformation, Klarna’s AI assistant now autonomously handles two-thirds of all customer service inquiries. Combined with AI marketing tools that reduced the cost of external agencies by 25%, the company reduced its total workforce from 5,000 to 3,500 employees without sacrificing performance. The result: The financial results transformed from a massive loss of $1 billion in 2022 to a substantial net profit of $120 million in 2025.

Revolut: The fintech company demonstrates how growth can be achieved completely independent of personnel costs: The company’s customer base grew by 30% to 68 million users, while its AI infrastructure absorbed scaling costs. With 75% of support requests resolved autonomously, Revolut achieved an impressive profit margin of 38% in 2025, generating a pre-tax profit of £1.7 billion.

The NAGA Group Small Cap Re-Rating Case

For investors in listed shares, NAGA Group (N4G.DE) represents the most accessible micro-cap instrument for tracking this operational development in real time. At the end of April 2026, the Hamburg-based fintech company reported its first ever profitable first quarter, achieving a net profit of €0.5 million (compared to a loss of €1.7 million in the first quarter of 2025), while its EBITDA margin more than doubled year-on-year to 15.8%.

Just like Klarna and Revolut, NAGA’s margin growth is being driven directly by structural automation. AI now autonomously handles 66% of all customer support requests, helping to reduce customer acquisition costs (CAC) by 16%, even as the platform gained 87,500 new registered users and recorded a trading volume of $80.7 billion in the quarter. With management reaffirming its full-year 2026 EBITDA forecast of €10 million to €15 million, NAGA is now rolling out its “AI Signals” pipeline to achieve higher average revenue per user (ARPU) by 2027.

The stock has already reacted to the first profitable quarter and reversed its downward trend. The crucial question from an investor’s perspective is whether the first quarter of 2026 marks the beginning of a more sustainable turnaround in profitability and whether the markets, when valuing NAGA Group shares, now prioritize a profitable growth story over a volatile small-cap fintech company.

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(Featured image by Bolivia Inteligente via Unsplash)

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