What Expenses Are Covered by AI Adoption and Skills Training Grants in Canada?

By GrantHub Research Team · · Lire en français

What Expenses Are Covered by AI Adoption and Skills Training Grants in Canada?

Many Canadian businesses want to adopt AI but worry about the costs. Software, training, and integration can add up quickly. AI adoption and skills training grants in Canada are designed to help by covering specific, approved expenses tied to real business goals.

One of the main programs is the AI Skills and Talent Program from DIGITAL, formerly known as the Digital Technology Supercluster. This program supports employer-led projects that help workers and companies use AI in practical ways.


Core Expenses Covered by AI Adoption and Skills Training Grants

AI grants do not fund every AI-related cost. They focus on clear categories that support adoption, skills development, and workforce readiness. Below are the most common eligible expenses, using the AI Skills and Talent Program as an example.

1. Employee Training and Upskilling Costs

Most AI skills grants put people first.

Eligible training expenses often include:

  • Third-party AI training providers, colleges, or universities delivering approved programs
  • Curriculum development for AI, machine learning, data analytics, or automation training
  • Trainer and instructor fees
  • Training materials and learning platforms
  • Certification costs tied to AI or data skills

Training must connect directly to AI adoption in your business or sector. General professional development is usually not eligible.

2. AI Software and Technology Implementation

AI adoption grants may cover part of the cost to use AI tools when paired with training.

Common eligible costs:

  • AI software licences used for training or deployment
  • Data platforms and analytics tools needed for AI systems
  • Cloud computing costs directly tied to AI workloads
  • Pilot or proof-of-concept implementations

Ongoing subscription fees after the project ends are usually not covered.

3. Project Labour and Internal Staff Time

Some programs allow businesses to claim labour costs, but there are limits.

This can include:

  • Employee wages for time spent on approved AI training
  • Technical staff time for implementation and testing
  • Project management labour directly tied to the funded project

Labour must be tracked and justified. Executive salaries and unrelated roles are usually excluded.

4. External Expertise and Professional Services

AI adoption often needs outside help.

Eligible services may include:

  • AI consultants and system integrators
  • Data engineers or solution architects
  • Cybersecurity experts supporting AI deployment

These costs must be essential to delivering the approved project scope.

5. Limited Equipment and Infrastructure

Hardware is not the main focus, but some infrastructure may be eligible.

Examples:

  • Specialized hardware needed for AI training or testing
  • Edge devices or sensors used in pilot projects

General IT upgrades and office equipment are usually not eligible.


Expenses That Are Usually Not Covered

Even strong AI projects can be rejected if budgets include ineligible costs. Common exclusions include:

  • Marketing and sales expenses
  • General business operations or overhead
  • Ongoing maintenance after the project ends
  • Debt repayment
  • Stand-alone hardware purchases without training components

It is important to match expenses directly to skills development and AI adoption outcomes.


How This Differs From Non-Grant AI Support Programs

Not all AI funding is a grant. For example, the BDC Data to AI Program provides advisory services and preferential-rate financing, not non-repayable funding. It can support:

  • AI implementation planning
  • Digital automation
  • Cybersecurity improvements

Loans and grants have different cash-flow and tax impacts, so budgeting carefully matters.


Common Mistakes to Avoid

  1. Budgeting for software without training
    Most AI skills grants require a strong workforce development component.

  2. Claiming executive or general admin time
    Only labour tied directly to the AI project is usually eligible.

  3. Including ongoing subscription costs
    Grants typically fund project-based costs, not long-term operating expenses.

  4. Submitting vague expense descriptions
    Every cost must clearly link to AI adoption or skills outcomes.


Frequently Asked Questions

Q: Are employee wages eligible under AI adoption and skills training grants in Canada?
Yes, in many cases. Wages can be eligible for time spent in approved training or project work, but they must be documented and directly related to the AI project.

Q: Can small businesses apply, or is this only for large companies?
Small and mid-sized businesses can participate, often as part of a consortium or employer-led project. Eligibility depends on project scope and partner structure.

Q: Are AI grants taxable in Canada?
Most grants are considered taxable income. You should confirm treatment with your accountant, especially if claiming wage reimbursements.

Q: Can I combine AI grants with other funding programs?
Sometimes. Stacking rules vary by program, and total public funding is often capped.

Q: Is the BDC Data to AI Program a grant?
No. It offers financing and advisory support, not non-repayable grant funding.


  • What Happens After You’re Approved for a Grant? Reporting and Reimbursement Explained
  • Can You Get Grant Funding Without Revenue? Early-Stage Eligibility Explained
  • Tax Credits vs Grants for Employee Training in British Columbia

Next Steps

AI adoption and skills training grants in Canada have strict rules about what they fund. Clear budgets, strong links to training outcomes, and well-documented labour costs are key. Tools like GrantHub’s eligibility matcher can help you filter AI programs by province, industry, and workforce needs quickly.

GrantHub tracks hundreds of grant programs across Canada, including AI, training, and digital adoption funding. This helps you see which ones fit your business before you apply.

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