Transforming Canada’s SMEs Sector: The Promise of Generative AI

Small Business Canada

Key Takeaways:

  • Crucial Role of SMEs in AI Policy: As Canada advances in implementing policies and regulations for generative AI, it is crucial to address the needs and challenges faced by SMEs, the cornerstone of the Canadian economy.
  • Transformative Impact and Challenges: This article explores how generative AI can transform SMEs, examining both the opportunities it offers and the obstacles they encounter in adopting this technology.
  • Steps for Effective AI Adoption: It highlights the challenges SMEs face in adopting new technologies and outlines the necessary steps to harness AI’s full potential.

Introduction

Small and medium-sized enterprises (SMEs) form the foundation of the Canadian economy, contributing around 50% of the GDP and accounting for 99.7% of all Canadian employers. However, these businesses face persistent productivity challenges and competitive pressures. A recent report by Microsoft and Accenture underscores the game-changing potential of Generative AI (Gen AI) to address these issues and drive significant economic growth, potentially adding up to $100 billion to the Canadian economy by 2030. Public policies should align with the goal of positive societal transformations across industries, including job creation. However, addressing and mitigating existing and emerging harms is paramount to better support SMEs, which often lack the financial capabilities and internal resources needed to fully leverage such technologies.


The Potential of Gen AI for SMEs

According to the report, Gen AI could add up to $180 billion annually to the Canadian economy by 2030, with SMEs poised to gain up to $100 billion. Gen AI can boost labor productivity, saving workers an estimated 125 hours per year, or 30 minutes each workday. This productivity gain translates to an 8% increase, helping SMEs compete more effectively nationally and globally.


Critical Benefits of Gen AI for SMEs

Enhanced Efficiency: Gen AI can streamline repetitive, low-value tasks efficiently, allowing employees to dedicate their time to strategic initiatives. Creative work and potentially increasing job satisfaction. And reduced burnout, addressing a significant issue highlighted in TELUS Health’s Mental Health Index, where 42% of workers reported feeling mentally and physically drained by the end of the workday.

Cost Reduction: By optimizing processes and reducing the need for manual intervention, SMEs can lower operational costs. For instance, in the healthcare sector, Gen AI can minimize time spent on administrative tasks, enabling more one-on-one patient care and personalized treatment plans.

Innovation and Growth: AI-driven insights can help SMEs identify new market opportunities, streamline product development, and enhance customer experiences. Gen AI can improve risk management and drive operational efficiencies through automation and data analytics in the financial services sector.

Scalability: SMEs can leverage AI to scale their operations without a proportional cost increase. For example, AI can predict machinery repairs in the natural resources sector, optimizing resource extraction and enhancing environmental monitoring.


Challenges to AI Adoption

Despite its potential, only 9% of Canadian businesses use Gen AI. The Microsoft report identifies several barriers to adoption:

Public Trust: Only 31% of Canadians trust AI, significantly lower than the global average. Building public trust is crucial for broader AI adoption.

Awareness and Skills: Many SMEs need to gain awareness of AI’s benefits and the skills needed to implement it. TELUS Health’s report notes a similar trend, with a significant gap in awareness about Employee Assistance Programs (EAPs), impacting mental health scores negatively.

Cost and Infrastructure: The high upfront costs of AI implementation and the need for advanced infrastructure can be daunting for SMEs. Ensuring affordable and accessible AI models and infrastructure is essential.


Steps to Harness AI’s Potential

To fully unleash the power of Gen AI, SMEs, policymakers, and industry leaders must work together to address these challenges. The report suggests six enablers for responsible AI adoption:

Public Awareness and Trust: Increase public understanding of AI’s benefits and address concerns about its impact. Transparent communication and showcasing successful AI implementations can help build trust.

Clear Policy Frameworks: Develop policies that protect users while fostering innovation. The Canadian Competition Bureau’s initiative to explore AI’s impact on competition is a step in this direction.

Skilled Workforce: Invest in training programs to develop AI skills among workers. TELUS Health’s report shows that younger employees and parents are more inclined to enhance their AI skills, indicating a need for targeted training initiatives.

Innovative Culture and Leadership: Foster a culture that embraces experimentation and innovation. Leaders must understand AI adoption’s costs, benefits, and risks.

Affordable AI Models and Infrastructure: Provide SMEs access to cost-effective AI models and infrastructure. Public-private partnerships can play a significant role in various sectors by leveraging the strengths of both government and private entities.

Collaborative Ecosystem: Encourage partnerships across industries and borders to share knowledge and resources. Collaboration can drive AI adoption and ensure its benefits are widely distributed.


Conclusion

Gen AI holds immense potential to transform Canada’s SMEs, driving productivity, innovation, and growth. By addressing the challenges of public trust, awareness, cost, and infrastructure and fostering a supportive ecosystem, Canada can ensure its SMEs are well-equipped to leverage AI. This will enhance their competitiveness and contribute significantly to the overall economy, providing a prosperous future for all Canadians.

Future research in policy-making should prioritize exploring tailored Gen AI applications for individual industries and enhancing Gen AI accessibility for SMEs. By leveraging AI effectively, Canada can foster a more competitive and inclusive economic landscape, positioning itself as a global innovation hub.

author avatar
Renata Thiebaut
Dr. Renata Thiébaut is a Professor at Gisma University of Applied Sciences and the COO of Green Proposition Consulting
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