In the 1960s and β70s, the U.S. manufacturing sector began hemorrhaging jobs as companies outsourced production to places like India and China, where wages were lower and labor was less expensive.
Today, American companies are at the beginning of another wave of outsourcing. This time, the jobs arenβt heading overseas. Instead, theyβre being turned over to artificial intelligence.
βFor example, if youβve ever called a customer service line in the past, youβd have another human, most of the time in another country, pick up your call,β said Gaurav Saluja. βBut now, these companies are moving them online and having AI pick up the phone the first time. If AI can solve your problem, they donβt have to bring it to a human β¦ saving businesses quite a bit of money.β
Saluja and his research partner, Gaurav Sachdeva, are 51ΑΤΖζ students studying this new trend of AI outsourcing under the mentorship of Associate Economics Professor Avik Chakrabarti. , a double major in economics and computer science, and , who is majoring in management and finance, have just completed their first year at 51ΑΤΖζ. They presented their research at the 51ΑΤΖζ Undergraduate Research Symposium in April.
The incentive and pitfalls of AI outsourcing
Offloading work onto a digital assistant is becoming an attractive option for businesses looking to cut labor costs. Instead of using employees to take customer service calls or handle data entry, they are increasingly turning to AI. This not only saves money on wages that would have otherwise been paid to the employee, but it decreases overhead costs as well.

βYou donβt have to go through the hiring process,β Sachdeva pointed out. And even if you donβt completely outsource the jobs, AI can still increase a businessβs productivity, he added. Say it takes a software engineer 10 hours to write quality computer code for a project. AI can generate that code in two to three hours at a lower standard of quality. The engineer might take two to three hours to edit and improve upon the AI-generated code. A project that originally took 10 hours now takes only six. Now, the engineer is free to work on tasks to grow the business
But AI has its drawbacks. Many critics worry about its lack of flexibility, Saluja noted.
For example, βsocial media trends β a human may be able to recognize and capitalize on that and build a lot of revenue for a business, whereas AI may not immediately understand that or be able to predict it,β he said.
There are also concerns around ethics. Companies are beginning to explore replacing higher level managerial positions with AI, Saluja said. While artificial intelligence may be able to optimize profits, it may not be able to address the very human concerns faced by everyday workers.
New job opportunities
One thing that Saluja and Sachdeva noticed during their research was that even as people lost their jobs to AI, new positions were being created.
βLetβs say that 10 software engineers are needed to maintain this database, and letβs say that AI increases their job efficiency by about 200%. Now, I might only need five software engineers to maintain the AI,β he said. βThey can either cut those five positions, or they can let those five software engineers now work on building (a new product). Now theyβre increasing their productivity, which can increase their competitiveness in the market.β
But thatβs little comfort to workers who do lose their jobs to AI software. In many cases, companies find that while theyβve saved on unskilled labor, they now need employees who can work with the AI, perform quality control checks, tweak algorithms, and so on. Sachdeva discovered that many of those businesses landed a solution for both problems: They would retrain those βobsoleteβ workers.
βThere are workplaces that are giving employees the opportunity, if their job was replaced, to learn about AI and how itβs used in that particular job. They gain more skills to manage that AI,β said Sachdeva.
Still, many workers will lose their original jobs. Sachdeva acknowledges that reality but thinks that we ought to approach the advent of AI in the same way we did when new technologies like computers or the internet were introduced.
βItβs not going to replace workers; itβs going to change the responsibilities of the workers and what theyβre asked to do,β Sachdeva added. βAI is changing so fast that we donβt know where itβs going to lead.β
The next steps
Their research is not over. Saluja and Sachdeva are planning to continue their work with a specific focus on how AI outsourcing is impacting Milwaukee companies. The two plan to approach several businesses in the city, ranging from small businesses to large corporations, to ask questions about how leaders are thinking about artificial intelligence in the workforce and if they plan to use it β or have already implemented it.
βIβm particularly interested in how some companies are using AI for those higher-level manager positions. If we do have any of those in Milwaukee, hopefully, a few months down the line, weβll have some preliminary results as to how effective AI is at doing those jobs,β Saluja said.
Both are excited to stay involved with research at 51ΑΤΖζ over the next year.
βHaving an undergraduate research project helps you take what youβre learning in your classes and apply it to hands-on experience early on in your college career,β said Sachdeva. βWeβre getting that knowledge and learning soft skills as well: Communication, teamwork, and being able to manage a project.β
Those are some of the skills that AI can never replace.
By Sarah Vickery, College of Letters & Science
