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Home » How to Balance the Risks and Rewards of Fintech Innovation
Technology Innovations

How to Balance the Risks and Rewards of Fintech Innovation

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Thomas Hartmann is the CEO of Funded Unicorn GmbH.

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The fintech sector has grown and matured significantly over the past 10 years, shaped by technological advancements and changing customer preferences.

Public fintech companies had a market capitalization of $550 billion in mid-2023, doubling in value since 2019. Despite a market correction in 2022 that slowed the rapid gains of the previous decade, the fintech sector is expected to grow more than twice faster than traditional banking (15% vs. 6% annual revenue growth) from 2022 to 2028. In this landscape, adoption of digital payment has become widespread, accelerated by the Covid-19 pandemic. Consumers are increasingly willing to use this technology; more than 90% of consumers reported using digital payment in 2023.

We are now accustomed to having financial information and transactions at our fingertips. Mobile banking and other digital payment apps have made managing money almost as easy as sending a text message, but that’s just the tip of the iceberg. Blockchain and AI innovations are propelling the evolution of fintech and providing investors with solutions that can deliver a competitive edge in the market.

Exploring the benefits of Fintech innovations

Blockchain technology provides consumers with a secure, transparent and decentralized framework to execute financial transactions. Blockchain applications do not require the involvement of third-party financial institutions, which can reduce costs, reduce the risk of fraud and protect sensitive data. Smart contracts, for example, are digital contracts stored on a blockchain that automate compliance processes. When a contract meets the terms and conditions of all parties involved, it automatically executes the agreement without the need for intermediaries, reducing administrative costs and increasing efficiency.

AI is already transforming the financial services industry. According to Deloitte 2021 data32% of providers reported using AI for speech recognition, predictive analytics and other applications. AI algorithms can process massive data sets to identify trends and patterns that might not be apparent to human analysts, providing predictive insights that help investors make informed decisions. Automated trading systems and real-time data analysis can also minimize risks for investors. An investor can set the parameters of a trade so that when the time is right, the system immediately executes the trade without human oversight.

With the growth of generative AI capabilities, traditional financial institutions and fintech companies are developing tools focused on improving customer experience, including AI-powered conversational chatbots, fraud detection services and personalized analyses. In an IBM 2024 study57% of banking and financial markets CEOs said that “achieving competitive advantage in the industry will depend on who has the most advanced generative AI” and 66% said that “productivity gains “The potential of automation is so great that they would accept significant productivity gains.” risks to remain competitive.

The investors I work with as a financial educator use a range of fintech tools to streamline their operations and decision-making processes. My clients have reported seeing improved efficiencies and bottom lines from using these technologies. For example, by adopting digital platforms for portfolio management, they can automate many actions that they had to perform manually in the past, saving time and reducing the risk of human error. They tend to see the most value when using AI and blockchain tools and existing systems to maximize their benefits.

Meeting the challenges of Fintech developments

While fintech innovations offer many benefits, they also introduce new challenges, including risks related to data privacy and quality, cybersecurity and regulatory compliance.

AI models are only as good as the data they are trained on, and faulty or biased data can lead to inaccurate information, which can cause serious financial repercussions. AI systems also use large amounts of data, which can include sensitive financial information that is valuable to cyberhackers. New technologies are often more vulnerable to cybersecurity risks than established systems. For example, blockchain is known for its transparency and immutability, but if data is compromised on the ledger, it cannot be easily deleted. Regulatory laws and compliance standards are constantly evolving to align with technological advances, but development often outpaces regulation. It’s difficult for financial institutions, fintech companies and investors to keep up with the pace of change.

Strategies for Effective Financial Technology Adoption

If you want to explore fintech tools, start with small steps forward. It’s not all or nothing. You can take your time and experiment, evaluate, and iterate to see what works best for you.

• Diversify your technology stack: The fundamental principles of portfolio diversification also apply to the technology you use for your investments. Try a combination of tools to find the right balance for your needs.

• Prioritize safety: Research the data privacy and cybersecurity risks of any fintech app before testing it. Evaluate potential benefits and vulnerabilities as part of your verification process.

• Stay informed: The fintech space is evolving rapidly. Find news sources and thought leaders you trust to stay up to date with the latest technology trends and innovations. Adopt a mindset of continuous learning. The more you understand these technologies, the better you can leverage them to your advantage.

Fintech is fundamentally changing the way we invest. Consider each app a valuable tool in your toolbox, but be careful not to rely too heavily on just one. Use your expertise and instinct in collaboration with fintech to optimize your investment strategy.


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