A recent WSJ article about a private equity firm using AI to source investment opportunities by Laura Cooper presages a larger challenge facing employees and employers: AI tools do “the work of ‘several dozen humans’” “with greater accuracy and at lower cost.”  In the competitive and employee-dense financial services sector, AI tools can provide a competitive advantage.

Ms. Cooper cites San Francisco based Pilot Growth Equity Partners, one of many of a growing number of equity investment firms to utilize AI. Pilot Growth that has developed “NavPod’ a cloud based deal-sourcing and workflow tool” that displaces the need for employees to “comb through and cold-call” potential leads involved in deal sourcing.  While use of AI in this context could lead to some amount of job displacement, the article also notes that 90% of the work involved in deal sourcing can be done by computers, meaning 10% of the work remains with employees.  In some sense then, AI can be thought of as a way to augment the tools available to deal-sourcing employees, much in the way Excel was for investment bankers in the 1990s.

When considering implementing AI technology in this capacity, employers should be aware of the impact it can have on employee morale.

There are additional employment considerations as well.  As noted in Ms. Cooper’s article, the development of NavPod took two years of programming to create the first version of the AI tool.  Because the process took two years it is not unlikely that the company had to hire programmers to perform the coding and bug fixing.  There are also the attendant work-for-hire, IP protection, and non-compete issues in employing a programmer to create a niche AI tool, which gives a company a competitive advantage against other PE firms so long as that employee cannot take that knowledge across the street to a competitor.

In short, companies hoping to implement AI-solutions for their workplace should be aware of the host of employment-related issues the use of these technologies can create in the workplace.

We will be keeping an eye on this growing trend and be alert our readers to future financial sector AI developments.

Back to Workforce Bulletin Blog

Search This Blog

Blog Editors

Authors

Related Services

Topics

Archives

Jump to Page

Subscribe

Sign up to receive an email notification when new Workforce Bulletin posts are published:

Privacy Preference Center

When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies. Click on the different category headings to find out more and change our default settings. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer.

Strictly Necessary Cookies

These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information.

Performance Cookies

These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.