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Whether it's economic trends, capital markets or social changes - Zsolt Janos is regularly invited as an expert to TV programs to classify developments and explain connections in an understandable way.
14.12.2025 | Timeout Zone
Expectations for AI are completely unrealistic.
Artificial intelligence (AI) is on everyone's lips, but do the promises live up to them? Many companies, especially in the SME sector, are unsure how they can use AI profitably.
The content discussed in this video is for general informational purposes ONLY and under no circumstances constitutes a recommendation to buy or sell specific investments. It is therefore not investment advice, as I cannot assess the risk profile and financial situation of individual viewers. Anyone who decides to buy or sell investment products or assets based on the information discussed in this video does so at their own discretion and risk. I cannot accept any liability if you make your own investment decisions based on the information in this video and consequently incur losses.
Summary: Key takeaways about intuitive eating
AI in the financial sector: Expectations and reality
The challenge: wasting money vs. real benefit
A statistic from the USA shows: 95% of companies experimenting with AI are burning money. and achieve no benefit. This may seem discouraging at first, but it also shows that a strategic approach is crucial.
Two main goals drive entrepreneurs:
- reduce costs
- Increase sales
Can AI help? Yes, but it's important to avoid mistakes and focus on the right things.
The art of AI implementation in SMEs
Small and medium-sized enterprises (SMEs) often lack the resources and focus to engage intensively with AI projects. The risk is of becoming bogged down in details and implementing ineffective solutions. The goal must be to move from random benefits to predictable advantages – either in the form of revenue growth or increased efficiency.
The key: Business processes before technology
The first step shouldn't be to search for the latest AI tool. Instead, you should ask yourself: Where will my company create the greatest value in the next one to two years? Regardless of AI. Where does the value driver, the value lever lie? And where can AI provide acceleration?
Zsolt Janos emphasizes: "AI doesn't actually change the world. If I do something that doesn't make sense, then it won't make sense with AI either, it'll just be faster. And that's obviously pointless."
Three areas where AI can help
For many entrepreneurs, three topics are crucial:
- acquisition
- Communication with existing customers
- know-how transfer
AI can provide support in all these areas. The key is to think about the profit and loss statement, not the technical tools. Don't just collect random ideas that you could implement with AI. Focus on the greatest value and define potential use cases around that value.
The systematic selection of the right use case
Create a shortlist of no more than five use cases. Evaluate them based on two criteria:
- Value Lever: Where is there a measurable increase in revenue or efficiency?
- Feasibility: Do I have the data, infrastructure, and resources for implementation?
Build a scenario and calculate the planned increase in revenue or the planned cost reduction for each use case.
Impact vs. Feasibility: The Matrix for Success
Consider each use case using a matrix with two axes:
- Impact: Measurable and real positive impact.
- Feasibility: Availability of data, infrastructure and resources.
The use cases that have a high impact and high feasibility are yours. Quick WinsFocus on these to achieve quick successes and convince your team of the benefits of AI.
Conclusion: AI as a tool, not as an end in itself
AI is a powerful tool that can help companies in the financial sector operate more efficiently and unlock new revenue streams. However, it's crucial not to view AI as an end in itself, but rather as a means to an end. Analyze your business processes, identify the biggest value drivers, and select the use cases that promise the greatest impact with the lowest implementation barriers. Avoid panicking and implementing AI for its own sake. A strategic and data-driven approach is the key to success.
The calm question: What does this addition look like? Can it accelerate us? Will it accelerate us, will it even endanger us if we don't react?
Use AI to scale your strengths and compensate for your weaknesses.
