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Upstart Holdings Inc. utilizes artificial intelligence to originate loans for banks
This year, the technology sector has taken a battering, with the Nasdaq-100 index down 28%. Soaring inflation and increasing interest rates are putting the brakes on the economy and prompting investors to reconsider their growth assumptions.
As a result, the shares of UPST have fallen 94% from their all-time high. However, at current levels, the shares may be highly appealing, with the potential to produce good long-term returns for traders who invest now.
The primary purpose of UPST is to supplant the current instruments used to assess risk in consumer financing. For decades, Fair Isaac's FICO credit scoring system has been the gold standard but UPST claims its parameters are too restricted to serve potential borrowers in today's market.
Instead, UPST assesses up to 1,600 data points to estimate a person's creditworthiness using artificial intelligence. Because AI works significantly quicker than humans, it can make decisions on around 73% of loan applications in real time. That saves banks a lot of time and money.
UPST's algorithm originated $3.2 billion in loans in the second quarter of 2022, representing a modest 17% year-over-year increase. However, it was a 27% decrease from the $4.5 billion generated in the first quarter of 2022, indicating a pretty sudden deceleration.
But there was a bright side. The number of banks and credit unions using UPST's algorithm has increased year over year and since the first quarter.
Similarly, UPST continued to expand its connections with automobile dealerships. UPST Auto Retail sales and loan origination software is presently used by 37 major brands across 640 U.S. dealerships.
As a result, even while consumer loan demand is dropping, UPST may be positioning itself for a large return when the economy rebounds.
Many investors are sceptical that UPST's credit models will withstand a prolonged economic slump. After all, they were created in good times and have never been tested during war.
Loan defaults are increasing across the lending industry as pandemic-related government stimulus measures in the United States are phased out. Nonetheless, UPST anticipated this and it claims that its models are tuned for an economy even worse than the lacklustre growth seen in the years since the financial crisis.
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