Embracing new technology: how emerging talent is leading the adoption of AI in workplaces

Monday, March 11, 2024

Group of Waterloo students and Jodi Szimanski at the Future of Work Canada conference

By: Micaela Kelly (she/her)

Gen Z is leading the adoption of artificial intelligence (AI) in their everyday lives. Yet many businesses in Canada continue to shy away from the technology.

According to the KPMG Global Tech Report 2023, Canadian businesses are amongst the slowest to adopt AI in the workplace. Only 35 per cent of Canadian businesses have adopted AI technology into their operations. However, in the United States 72 per cent of businesses use AI technology.

Emerging talent, like co-op students, are early adopters of AI. They want to help businesses benefit from the incredible advantages of using AI in the right way.

At the Future of Work Canada conference on March 6, three Waterloo co-op students discussed how they’ve embraced and worked with AI during their co-op terms and beyond.

Panelists included Waterloo co-op students Komal Vachhani, Brian Li and Yang Li. Jodi Szimanski, associate director of Communications, Engagement and Digital Experience in Waterloo’s Co-operative and Experiential Education department moderated the panel.

Group of Waterloo students and Jodi Szimanski at the Future of Work Canada conference



Here are the top five takeaways:

1. AI is a tool.

Despite its complexity, AI should be a tool to enhance human capabilities rather than a replacement. Understanding the limitations of AI, and the proper application of AI in the workplace, is essential to help ensure responsible use.

“Generative AI is great to help you get started. It can spark initial inspiration and act as a reminder of what’s out there for you to pull from.” – Brian Li

“I use AI to expedite various tasks involved in software changes, tasks that could otherwise take me hours to get done. AI can do it in a few minutes. It helps me complete my work a bit faster which increases my workflow efficiency, and consequently allows me to focus on more software changes.” – Komal Vachhani

2. There will be an impact on employment, but don’t be afraid of losing your job.

As it takes over repetitive tasks, AI's integration into industries like manufacturing will lead to job displacement. However, those willing to adapt, build new skills, and work alongside AI will find that the integration can create new and meaningful opportunities.

“AI decreases menial labour and repetitive tasks, but we still need people to make the stylistic, critical thinking decisions.” – Yang Li

“If you ask AI to write you code, it still needs to be reviewed by a human. You can’t trust AI to write it perfectly.” – Komal Vachhani

3. AI isn’t always the solution.

AI is already part of everyday life. From helping to curate playlists on your music streaming services, to acting as customer service supports on websites, AI is making tasks easier and more efficient. For more nuanced tasks, strategy and work that requires a human perspective and critical thinking, AI is not the solution.

"When applying for co-op positions, I use GPT to customize my résumé according to each company's specific needs. At the end of the day, it’s my responsibility to make sure the suggestions it provides are still an accurate reflection of my skills."– Komal Vachhani

“If your tasks are rigid or are always the same sequence of steps, AI may not be the right tool. AI excels when you need flexibility and a tool that adapts quickly.” – Yang Li

4. The AI tool you need may already be available.

Almost everyone has heard of ChatGPT. There are many other consumer friendly AI tools for personal or business use. Customizing or creating your own tool isn’t always necessary.

"There are a lot of great tools out there that don’t require everyone to know the nitty-gritty details. Many are designed for consumers to be user-friendly and easier to integrate. Companies could consider using those AI tools instead of customization." – Brian Li

5. There are considerations before implementing AI in your workplace.

Before jumping in, carefully evaluate the necessity and ethical implications of the tool. Finding the right use case and involving technical expertise are crucial steps in successful integration.

"The way I approach it (is) trying to find the best solution to achieve the goal - what can each of these do for me? What benefit will arise?" – Brian Li

"When you’re dealing with sensitive information, like intellectual property or proprietary information, it’s important to remember that AI exists on the internet. There is a chance of information leaking." – Komal Vachhani

 

Co-op students can help you find efficient uses for AI in your company. 

Here’s how:

  • "Co-op students are great for short term projects. They have a wide range of skills and love to think outside of the box to solve problems."– Komal Vachhani
  • "I began working with AI because of the practical aspect and the amount of new working opportunities it offers. Having worked on so many different AI projects, I am excited for more chances to explore the space." – Brian Li


About the panelists:

Brian Li

Brian Li (he/him) | Biomedical Engineering student

Work experience:

  • Design and manufacturing support technician, Engineering CPR Inc
  • Data scientist for smart mobility, University of Waterloo Engineering
  • Computer vision software developer, Deep Breathe
  • Deep learning developer, DarwinAI Corp
  • Data scientist, Capital One
 

Komal Vacchani

Komal Vachhani (she/her) | Computer Engineering student

Work experience:

  • Full stack developer, SS&C Technologies Inc
  • Robotics software engineering intern, Kindred AI
  • Robotics platform engineering intern, Sanctuary AI
 

Yang Li

Yang Li (he/him) | Mechatronics Engineering student

Work experience:

  • Software developer, Polar
  • MME clinic/WATiMake assistant, Waterloo Engineering
  • Research assistant, Hurco Companies
  • Engineering research student, Waterloo Engineering

 
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