Representatives of Cyberbird: AI is Rewriting the Rules of the Financial Sector — from Lending to Staff Training

Tashkent, Uzbekistan (UzDaily.com) — Artificial intelligence is already transforming financial processes faster than regulators can adapt, say Valery Babushkin and Evgeny Yezhov of Cyberbird Fintech Group.

According to them, embedded finance and automated lending are becoming the new normal, while the quantum revolution is challenging traditional methods of data protection.

Babushkin, co-founder and board member of Cyberbird Fintech Group, noted that the company specializes in alternative lending — from payday loans to digital financial products.

He explained that the service is fully automated, with credit decisions made by machines. The group operates a full-cycle financial model, integrating scoring, product development, marketing, and operational support within a single structure.

He emphasized that big data, machine learning, and AI agents are having a decisive impact on the industry.

These technologies are already being applied in risk modeling, customer communication, and debt collection processes. “Every month it becomes harder to tell whether you are talking to a human or a robot,” he said, referring to advances in voice interfaces.

Babushkin identified one of the most underestimated applications of AI as employee training, particularly in developing countries. He noted that technology allows the creation of accessible “coaches” that operate in local languages and adapt to the learner’s pace.

“There’s no need to change the person. We need to enhance the person with AI and give them the opportunity to grow,” he emphasized. In his view, this opens the way for building skilled teams in countries with limited access to education.

As examples, Babushkin cited markets in Africa and Central Asia, where growing demand for financial services coincides with a shortage of trained personnel. “We can train staff virtually for free. This ensures quality growth of the regional market and provides access to local specialists for companies like ours,” he noted.

With technological acceleration, he added, risks are also rising. Babushkin warned that the development of quantum computing could render traditional encryption powerless. “Quantum computers will break encryption in minutes. Ordinary computers would take 100,000 years,” he said.

In the face of such threats, regulators, he said, might excessively restrict innovation. “They will try to ban everything they don’t understand. I would like to see more young specialists among them who understand how the new digital world works,” he noted.

Shareholder and board member Evgeny Yezhov, commenting on the competitive environment, emphasized that fintech companies and IT players retain an advantage in digital transformation, as they can quickly implement their own technological developments.

Babushkin added that the financial market is moving toward models in which traditional banks lose their previous dominant role. He cited the example of Revolut: “The old banking shell will be discarded. The economy will grow into something new, and we have the opportunity to help build it. We are living in an amazing time.”

Regarding the future of digital lending, Cyberbird representatives highlighted the growth of platform-based finance and the development of Open Banking, which allows users to access multiple banks through a single interface. Babushkin stressed that money logistics is becoming a key element of infrastructure.

At the same time, he pointed out that large marketplaces have begun to “squeeze” sellers, with commissions reportedly reaching 60–70% of the product price. “This is effectively a noose around the neck of small businesses,” he said. Increasingly, artisans and small producers are returning to their own online stores, SEO promotion, and direct sales.

This creates a new niche for fintech companies — personalized credit products for small sellers and buyers that are unavailable to large banks.

According to Babushkin and Yezhov, the coming years will be a period in which artificial intelligence profoundly transforms finance — from scoring and customer support to employee training and the creation of new trading models.