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Partners
Qikiqtaaluq Corporation

Participants Indigenous Peoples; People from rural, remote, and northern communities

Locations
Nunavut

Investment
$1 million

Topics
Inclusive Economy
Sectors
SME Adaptability
Related Tags
entrepreneurship indigenous indigenous populations skills training
Home| Innovation Projects|Project

lnshore Fishery Development in the Qikiqtani Region of Nunavut

As part of its five year plan to address the human resource needs for successful inshore fisheries research and development in the Qikiqtani region, Qikiqtaaluq Corporation accessed FSC funding to develop the Inshore Fishery Development in the Qikiqtani Region of Nunavut program.

Raw trout fish on ice with rosemary and lemon over stone dark background , top view

The Inuit-led initiative will pilot in two communities, to train Inuit community members and identify entrepreneurship and small business opportunities. By supporting the professional development of regional entrepreneurs, small business owners and managers, the program aims to lead to an innovative approach to Indigenous community-based entrepreneurship and small business development that can be extended in subsequent years. The goal for this area of the larger strategy aims to reach all 13 communities in the Qikiqtaaluk region of Nunavut, and more broadly to other regions and to other sectors of the northern economy.

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The labour market of tomorrow: projections from the Model of Occupations, Skills, and Technology (MOST)

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  • Signal49 Research (formerly The Conference Board of Canada)
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  • September 2025
  • Signal49 Research (formerly The Conference Board of Canada)
Artificial intelligence (AI) is destined to fundamentally alter work—redefining tasks, reducing demand for specific roles, and giving rise to entirely new roles. Unlike past technology automation waves that targeted routine physical tasks, AI extends into cognitive work—analyzing data, recognizing patterns, and drawing conclusions. This puts even high-skill jobs at risk of disruption, challenging long-held assumptions about their immunity to automation.
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