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    March 28, 2023

    Creating Better Banks with JTBD: Lessons from Silicon Valley Bank's Collapse

    Silicon Valley Bank's sudden downfall from a $40 billion market cap to zero is a cautionary tale for the banking industry. What led to their demise, and can this scenario be avoided in the future? As the economy continues to evolve, it's essential to create better banks that are equipped to handle the demands of the modern world while minimizing risk.

    It's not just about avoiding collapse. Banks need to be able to innovate and adapt to meet the needs of their customers.

    One of the challenges facing banks today is the potential for collapses and runs on the bank that could trigger contagion and negatively impact the economy. Finding ways to lower this risk is crucial for the stability of the financial system. But it's not just about avoiding collapse – banks also need to be able to innovate and adapt to meet the needs of their customers.

    The case of Silicon Valley Bank highlights the importance of managing short-term risk while also being mindful of long-term investments. As more venture funding pours into startups, banks will need to find creative ways to manage their liabilities and invest their cash reserves. In this blog post, we'll explore some potential solutions to these challenges using a Jobs To Be Done approach. We'll examine how banks can create a more stable and resilient financial system and how new entrants can learn from their failures to serve customers' needs faster and more effectively.

    For the last 40 years, Silicon Valley Bank had been successful in catering to the needs of startups and investors. However, the pandemic brought about a strange short-term risk problem that turned out to be devastating. As more venture funding poured into startups, the bank saw a significant increase in liabilities in the form of foreign deposits. While these deposits brought in cash reserves, they also became liabilities on the bank's balance sheet.

    To manage these liabilities, Silicon Valley Bank invested the cash reserves into long-term assets in the form of treasury bonds. However, when interest rates rose, the value of the bonds went down, leading to losses that the bank had to raise. The sudden collapse of Silicon Valley Bank's market cap highlights the importance of finding better ways to manage short-term risks and investments to minimize the potential for bank collapses and runs. In this blog post, we'll explore the jobs that need to be done to create better banks and lower the risks involved in the banking industry.

    The success of Silicon Valley Bank lay in its ability to serve the needs of these riskier customers, startups that were burning through cash and were not yet generating revenue. By providing access to cash, optimizing cash flow, and offering visibility into burn rates and working capital, the bank helped startups stay afloat during the early stages of their businesses.

    As the collapse of Silicon Valley Bank has shown, there are inherent risks in catering to this segment of the market. Banks that offer services to startups must find ways to manage short-term risks while also ensuring that the startups they work with have a clear path to profitability. This requires a deep understanding of the needs of these startup customers and a willingness to innovate and adapt as the market evolves.

    By taking a jobs-to-be-done approach to banking, financial services companies can create a more resilient and sustainable banking industry that better serves the needs of startups and investors alike.

    As technology continues to advance, there will undoubtedly be more advanced banking software tools to mitigate deposit risk. These tools could help banks better manage their short-term risks while also identifying potential threats to their long-term investments. For instance, they could signal to banks when asset sales might cause a run on the bank, helping them avoid unnecessary panic and maintain depositor confidence.

    However, it's not just about the tools that banks use to manage their risks. The case of Silicon Valley Bank also highlights the importance of having open communication with regulatory agencies. While it may be tempting for banks to try to handle crises on their own, seeking help from regulatory agencies could help prevent a run on the bank and protect depositor interests. In the case of Silicon Valley Bank, reaching out to the FDIC before selling their bonds could have potentially saved the bank from collapse.

    Ultimately, creating better banks requires a multifaceted approach that takes into account the needs of both customers and regulatory agencies. By understanding the jobs that need to be done to create a more stable and resilient financial system, banks can innovate and adapt to better serve their customers while minimizing risk. And with the right tools and communication channels in place, they can mitigate potential crises and ensure the long-term sustainability of the banking industry.

    People don't want their banks to fall out of the sky any more than their airplanes.

    The regulation of air travel provides a useful parallel. Just as airlines use sophisticated software tools to manage flight operations and minimize risks, banks too can use technology to monitor their financial positions in real-time, and to anticipate potential problems before they escalate. And just like how the aviation industry has strict safety protocols and regulations to ensure passenger safety, banking too is subject to a wide range of regulatory requirements that aim to protect depositors, investors, and the broader economy.

    Indeed, the advancement of technology has opened up many new opportunities in the banking sector. One of the biggest challenges for banks is to make decisions quickly and accurately based on the huge amounts of data they have available. That's where artificial intelligence (AI) and machine learning (ML) come in. By leveraging the power of these technologies, banks can analyze data in real-time and make decisions faster and more accurately than ever before.

    For example, let's say a customer has a sudden change in their spending habits, which could indicate that they are experiencing financial difficulty. With the help of AI and ML algorithms, banks can quickly identify this change and proactively reach out to the customer to offer assistance, such as a loan or financial counseling.

    By analyzing customer behavior patterns and transactions, banks can quickly identify suspicious activity and take action to prevent fraud before it occurs.

    Another example is the use of AI and ML to prevent fraud. By analyzing customer behavior patterns and transactions, banks can quickly identify suspicious activity and take action to prevent fraud before it occurs. This not only protects the bank's customers but also helps to maintain the bank's reputation and credibility in the market.

    As the banking industry becomes increasingly competitive, banks need to continue to evolve and adapt to changing customer

    In the end, the banking industry will continue to evolve and adapt to new technologies and changing customer needs. Those that are able to stay ahead of the curve and embrace innovation will be the ones that thrive in the years to come, while those that fail to keep up may find themselves falling behind the competition. By staying focused on the needs of their customers and leveraging the latest technology and tools, banks can position themselves for success in the dynamic and ever-changing world of finance.r needs and preferences.



    Posted by Admin

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