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How to Future-Proof Your Workforce for the AI Revolution

By Calvin To on June 19, 2025
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The AI revolution has begun

AI is changing how work is done, and people are taking notice.

According to a recent Gallup poll, 22% of employees in the U.S. are concerned that they will lose their jobs to generative AI. Four years ago, it was 15%.

Globally, AI is expected to transform the workforce by 2050. Experts estimate that up to 60% of current jobs will require significant adaptation due to AI, and Goldman Sachs predicts that up to 50% of jobs could be fully automated by 2045.

How AI will change jobs

A 2024 study showed that 60% of administrative tasks can be automated, particularly those that are highly repetitive and involve data entry, like bookkeeping, scheduling, financial modelling, basic data analysis, medical administrative tasks, and customer service.

However, many other job duties are harder to automate. Empathy based roles, such as nursing, therapy, and social work, need emotional intelligence to be successful. High level management jobs also rely on emotional intelligence as well as discretion and adaptability, which AI currently cannot offer. AI also lacks the ability to do high-level analysis and decision making, traits that are important in fields like legal advocacy. 

The field of human resources is likely to change significantly, as AI is now offering HR managers tools to help hire and manage employees. If you’re a hiring manager or employer wondering how to navigate this shift, check out our previous blog post: AI in Recruitment: What Every Hiring Manager Needs to Know, where we explore the risks, benefits, and legal considerations of using AI tools in the hiring process.

How to adapt your business

Change, no matter what kind, can be daunting for many employees. The key to maintaining a trusting relationship with your employees is to be transparent with them about how you plan to implement AI. Be clear with your workers about how you plan to train and support them along the way.

Experts recommend performing a workforce analysis. Find out what changes your workforce has undergone in recent years. Identify areas where you’ll have a greater need in the future, along with trends affecting your industry. Examine which positions will need to change, and whether new positions will have to be created.

In terms of where to implement AI, consider breaking down jobs into sets of tasks to determine which can be automated and which can’t. 

Experts caution that it’s short-sighted to look at reducing your workforce as a first resort. Instead, look to reskill and upskill your employees. Remember, your employees have knowledge that AI does not, for example, of organizational culture and client relationships. Leverage your existing workforce to produce better results. Remember, the key is to balance AI’s power with human potential. You can do this by encouraging and requiring ongoing learning. Enroll employees in company-wide AI training programs, or offer them a yearly budget for AI learning. 

If you’re looking for a deeper dive into the legal and policy issues around AI at work, then watch our recent SpringForward webinar on AI and the Future of Work, where we explore AI’s impact on hiring, performance management, and termination, plus what you need to know about legal risks, disclosure rules, and privacy compliance. You’ll find it on our YouTube channel.

Are you considering implementing AI in your workplace? Are your employees already leveraging AI? We can provide guidance on how to regulate its use in your company. Don’t hesitate to reach out. 

Tags: AI
Photo of Calvin To Calvin To

Calvin To is an employment and labour lawyer at SpringLaw with a background in journalism and a strategic approach to workplace issues. He advises employers on terminations, investigations, AI regulation, and Indigenous identity fraud. Previously at a boutique firm, he worked with non-profits

…

Calvin To is an employment and labour lawyer at SpringLaw with a background in journalism and a strategic approach to workplace issues. He advises employers on terminations, investigations, AI regulation, and Indigenous identity fraud. Previously at a boutique firm, he worked with non-profits and small businesses. A strong advocate for equity, Calvin created a podcast on anti-Asian racism and leads training sessions. He enjoys sci-fi, global cuisine, and board games with his wife.

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  • Posted in:
    Technology and AI
  • Blog:
    Employment & Human Rights Law in Canada
  • Organization:
    Spring Law
  • Article: View Original Source

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