Most companies have bugbears that keep their investors up at night—financial question marks, hefty insurance bills, rogue management; the list goes on. Ride-hail company Lyft, which on Friday (March 1) filed paperwork to go public, has its own list of fears, many of them unique to the wide new world of transportation as a service (TaaS).


Most companies have bugbears that keep their investors up at night—financial question marks, hefty insurance bills, rogue management; the list goes on. Ride-hail company Lyft $LYFT, which on Friday (March 1) filed paperwork to go public, has its own list of fears, many of them unique to the wide new world of transportation as a service (TaaS).
A machine-learning algorithm trained by Quartz looked at what Lyft says are its risk factors to assess which are the most distinctive. In practice, we wanted to know what Lyft worries about that most other large public companies do not. Some of these risks, such as PR crises, may be far from the minds of Lyft’s customers. Others, such as vehicle defects (#20) or autonomous vehicles and rental scooters causing injuries (#24), directly affect riders.
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To evaluate how distinctive these risks are, the algorithm examined all the words used in the “Risk Factors” section of Lyft’s IPO filing and compared them to the words in the “Risk Factors” sections of annual financial filings from the companies in the S&P 500. It uses a kind of (rudimentary) artificial intelligence called TF-IDF that identifies which words and phrases are most “distinctive” in the document compared to a corpus of related documents.
While many companies, including Lyft, identify risks about “liquidity” and “debt,” we’re principally interested in the risks for Lyft that don’t exist for S&P 500 companies involved in more traditional industries.
Here are a few unusual risks from our algorithm-powered top 25.
This story was reported as part of Quartz’s AI Studio.