Generative AI in Quebec: The growing gap between SMEs and large companies

The generative artificial intelligence (gAI) revolution is rapidly transforming Quebec's economic landscape, creating a growing divide between large companies and SMEs. This disparity in adoption and use raises crucial questions about the future of our economic fabric and the ability of smaller structures to remain competitive.

An unbalanced adoption

Large Quebec companies have massively adopted generative AI, seeing it as a crucial element of their competitive advantage. Their ability to integrate these new technologies into their day-to-day operations testifies to a successful digital transformation. In contrast, SMEs lag significantly behind, with limited adoption that puts them in a vulnerable position in the face of competition, particularly compared to their Ontario counterparts.

The roots of the digital divide

This disparity can be explained by several structural factors. Large companies enjoy considerable advantages: substantial financial resources enabling them to invest in innovation, dedicated technical teams capable of driving digital transformation, and a modern IT infrastructure facilitating the integration of new technologies.

In contrast, small and medium-sized enterprises (SMEs) are more likely to have a digital infrastructure.

In contrast, SMEs face major obstacles. Lack of financial resources limits their ability to invest in new technologies. A lack of technical skills within their teams complicates the adoption and effective use of generative AI. The difficulty of recruiting specialized talent and training existing staff accentuates this technological lag.

Impact on competitiveness

The consequences of this digital divide are already visible. Large companies that have adopted generative AI are seeing significant gains in productivity, as evidenced by the increasing automation of their processes. At tech giants, AI now generates a substantial share of computer code, illustrating the scale of the transformation underway.

For SMEs, the absence or delay in adopting generative AI translates into concrete risks: loss of market share, increasing difficulties in recruiting talent, higher operational costs and, ultimately, reduced competitiveness. This situation could create a vicious circle where technological lag amplifies economic difficulties, making it even more difficult to invest in innovation.

Towards tailored solutions

Faced with these challenges, there are several avenues open to Quebec SMEs. A gradual approach to the adoption of generative AI, starting with targeted pilot projects, helps to limit risks while maximizing organizational learning. Pooling resources between SMEs, through consortia or partnerships, offers a promising route to sharing costs and expertise.

Internal skills development represents another crucial area. SMEs need to invest in employee training while seeking to collaborate with external experts. Government support programs and partnerships with academia can facilitate this transition.

Conclusion

The generative AI adoption gap between SMEs and large enterprises is a major issue for the Quebec economy. Without concerted action, this digital divide risks permanently weakening our economic fabric. The solution lies in mobilizing all players: companies, public authorities and the innovation ecosystem.

The SMEs that overcome these obstacles and adopt generative AI strategically will not only be able to catch up, but also position themselves advantageously in tomorrow's economy. The challenge is daunting, but in a market in the throes of digital transformation, inaction is no longer an option. The future belongs to those organizations that know how to embrace this technological revolution while preserving their agility and proximity to their customers.