Canadian agricultural AI adoption — 1.8% vs 12.2% across other industries

NA-Canada

Content

As of the second quarter of 2025, only 1.8 per cent of Canadian agricultural businesses were using AI, compared to 12.2 per cent across other Canadian industries.

Additional figures from the same FCC / Deloitte Canada report (July 2026):

• 61% of agriculture, forestry, fishing, and hunting enterprises have adopted advanced technologies (broader than AI).
• The sector ranks 9th out of 12 Canadian industries for advanced technology adoption.
• Canada ranks 25th globally in private investment in agricultural R&D.
• Canada lags its G7 peers in AI adoption.

Source. Statistics Canada published the underlying data (referenced via https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025008-eng.htm). FCC and Deloitte Canada synthesised and contextualised the figures in AI in Canadian Agriculture: Present Challenges and Future Prospects (released July 14, 2026).

FCC’s framing of the gap. The 1.8% / 12.2% gap is real but FCC attributes it to systemic weaknesses, not technology availability — fragmented digital infrastructure, talent shortages, capital constraints, historically unclear governance frameworks.

What this unit is doing in the taxonomy

This is the field guide’s first statistic claim-type unit. The earlier units have been example (specific deployments) and claim (assertions about patterns). A statistic unit is the canonical place for a single quantitative fact with a defined methodology and source. Useful because talks often need a headline number, and that number should be traceable to a specific data source with explicit freshness.

Why it matters for talks

• The 1.8% / 12.2% figure is the most concrete Canadian adoption data point in the field guide. Should appear in any talk about Canadian agrifood AI.
• The figure is sourced to Statistics Canada (high-credibility institutional data) and contextualised by FCC/Deloitte (institutional analysis). Both provenance and interpretation are named.
• The 7x gap between agricultural and other-industry AI adoption is striking and concrete. Useful for the Canada lags on AI adoption frame.
• The figure is current as of Q2 2025 — verifiable on annual cadence per the freshness model.

Critical context

• The 1.8% figure is for use of AI, not awareness or piloting. Many Canadian farms may be aware of AI tools or running pilots without being classified as “using AI” by Statistics Canada’s methodology. Worth naming the definitional boundary.
• The 12.2% comparison figure covers “all other industries” — broad comparison, not agriculture-specific peer group (e.g. primary resources, manufacturing).
• The 25th rank in private ag R&D investment is from FCC framing. Different methodology / data source than the adoption figure. Worth distinguishing.
• FCC’s “ecosystem not technology” framing is genuine analysis but is also the framing that positions FCC Capital as the convener — there’s a structural alignment between FCC’s diagnosis and FCC’s commercial offering.