What is "AI for All," in plain terms?
AI for All, launched on June 4, 2026, is Canada's five-year national AI strategy. It is organized around three ideas: building trust, creating opportunity, and reinforcing sovereignty. It names manufacturing and robotics among its priority sectors. It is important to understand what it is not: it is an umbrella strategy that sets targets and directs money through many existing and future programs. It is not a single application form or a cheque a factory can request.
The strategy's headline numbers are targets, not guaranteed payouts. It aims to raise business AI adoption from a stated 12% baseline to 60% by 2034, support up to 250,000 AI-related jobs by 2031, create up to 90,000 youth jobs and work placements, and unlock a projected 3% increase in GDP (described as nearly $200 billion). Treat these as ambitions that shape where future programs will appear, not as money available to any one company. For context on the real-world starting point, Statistics Canada reported that 19.2% of businesses had used AI to produce goods or deliver services in the second quarter of 2026, up from 12.2% a year earlier.
The single most useful thing to hold onto: a program envelope is not a grant to one company. A $500 million initiative is spread across many recipients, split into loans, contributions, tax measures, and advisory services, and often not open for applications at any given moment. The rest of this guide keeps that distinction front and centre.
First, what kind of project do you have?
This is the question that decides everything, and it's the step most "list of grants" articles skip. The same $150,000 spend is treated completely differently depending on whether you are buying a known solution, buying equipment, or doing genuine technical development. Before you look at a single program, classify your project.
There is also one distinction that explains most eligibility rules at once: are you an AI adopter or an AI developer? A manufacturer installing an AI-enabled ERP, a chatbot, or an off-the-shelf vision system is an adopter. A company building a novel algorithm or a proprietary AI platform is a developer. Many of the programs that make headlines (the Compute Access Fund, much of IRAP, SR&ED) are built for developers doing real technical work, not for ordinary adoption. Getting this wrong is the most common way manufacturers waste time.
Use this decision flow to find your lane:
Buying a known solution (ERP, CRM, AI assistant, a commercial vision or planning package)? Look at financing and readiness support: BDC LIFT, Ontario's Digital Competence Centre, or FedDev if it's part of a larger productivity project.
Buying equipment or automation (a robot cell, sensors, a CNC upgrade, automated inspection)? Look at the LIFT equipment path, Ontario AMIC, the Ontario Made Manufacturing tax credit, and EDC if you export.
Resolving genuine technological uncertainty (a problem with no known solution)? Look at IRAP, IRAP AI Assist, SR&ED, and Mitacs.
Partners and new intellectual property (co-developing with a vendor, customer, or university)? Look at Scale AI, NGen challenges, and NSERC.
Export growth driving the investment? Look at EDC, your regional development agency, and BDC.
What can a manufacturer actually use right now?
Because AI for All is a multi-year rollout, most of the money you can act on today comes from established programs, not brand-new ones. Here are the routes that are genuinely usable now, strongest first for a typical shop.
Start with a readiness step if you're not sure of your use case. NGen's Industrial AI Readiness Program reimburses up to $15,000 of professional fees for an AI-readiness evaluation and an implementation plan. It's first-come, first-served until the funds run out, it requires a reference from an NRC IRAP Industrial Technology Adviser, and projects must finish by the end of December 2026. It funds the diagnosis and the plan, not the full system, which makes it an excellent low-risk first step.
For an established, financeable company, look at BDC LIFT. LIFT is BDC's advisory-plus-financing offer for AI, digital tools, cybersecurity, data infrastructure, robotics, automation, and productivity equipment. It is not a grant. The digital/AI path generally requires at least $1 million in annual revenue and a BDC plan; the equipment path generally requires at least $5 million in revenue and a listed sector such as manufacturing. Preferential terms favour Canadian suppliers. It's a strong fit if you have a bankable project and the capacity to repay, and a poor fit if you're looking for non-repayable money.
For a material southern Ontario project, look at FedDev Ontario's general business funding. It supports digitization, automation, equipment, and process or growth projects. Support is usually a repayable contribution from $125,000 to $10 million, normally up to 50% of eligible costs, and you fund the rest and carry costs until you're reimbursed. A typical applicant is an incorporated southern Ontario business with 5 to 500 employees and at least three years of operations. It's built for six- and seven-figure modernization programs, not a $25,000 software purchase.
In Ontario specifically, the Digital Competence Centre is one of the closest current substitutes for the old CDAP: up to $15,000 to build a digital modernization and adoption plan, and up to $50,000 to implement it (the implementation stream expects at least $750,000 in annual revenue and a completed plan). For larger advanced-manufacturing investments, the AMIC stream has a current intake closing September 23, 2026, and the Ontario Made Manufacturing Investment Tax Credit offers 15% on eligible machinery, equipment, and manufacturing buildings.
Program quick reference
Programs last verified 12 July 2026. Amounts are indicative; confirm the official page before acting. "Status" describes availability, not a guarantee of funding.
Outside Ontario, comparable routes include your regional development agency (ACOA, FedNor, PrairiesCan, PacifiCan, CED for Quebec, CanNor), Alberta's Manufacturing Productivity Grant (up to $30,000 matching), and B.C.'s refundable manufacturing and processing investment tax credit. Use the federal Business Benefits Finder and confirm current intake before you plan around any of them.
Where do SR&ED and IRAP fit (and where they don't)?
SR&ED and IRAP are the programs manufacturers most often misunderstand, so it's worth being precise. Both can be valuable, but only when your project contains genuine technical development, uncertainty, and systematic experimentation. Routine work does not qualify just because it's difficult or expensive.
SR&ED is a tax credit claimed after the work is done. The test is whether the work in Canada is a systematic investigation carried out through experiment or analysis to achieve a technological advancement. It's more generous than many older summaries suggest: qualifying claimants may access an enhanced 35% federal rate on an expenditure limit raised to $6 million for tax years beginning after December 15, 2024, and qualifying capital expenditures after that date are again eligible. The rules are technical, evidence-heavy, and retrospective, so contemporaneous records of your hypotheses, tests, failures, and results matter enormously.
IRAP provides an adviser and possible non-repayable contributions for developing and commercializing innovative technology. IRAP AI Assist continues this specifically for firms developing or adapting generative AI and deep-learning technologies.
The honest dividing line looks like this:
May qualify
- Designing and testing a novel scheduling or optimization algorithm under real performance constraints.
- Developing a new method to reconcile highly variable engineered-to-order data where standard approaches fail.
- Experimental integration across incompatible real-time control systems.
Usually does not qualify on its own
- Licensing a commercial AI tool; configuring an ERP or CRM; migrating data.
- Building routine dashboards; standard API integration; prompt writing.
- User training; a vendor-led deployment using known methods.
Stacking warning: government assistance generally reduces the expenditure base for SR&ED and other credits. Disclose grants and contributions to your tax adviser and program officers, and model the net benefit rather than adding headline percentages together.
What's funded but waiting, or still just announced?
Several of the most-quoted parts of AI for All are worth watching but are not yet routes a factory can use. Knowing the difference saves you from delaying a good project while you wait for money that isn't open.
The expanded Regional AI Initiative is funded at the strategy level ($500 million), but the FedDev Ontario AI-specific intake is currently closed with no announced next date. A national AI Literacy and Adoption Assessment tool for SMEs has been announced but is not yet live. The target of up to 90,000 youth jobs and placements is announced, but the employer delivery mechanism isn't published yet, so IRAP Youth and Mitacs remain the actionable talent routes today. The AI Missions Program is funded, but the first mission is health, not manufacturing. And the public supercomputer and sovereign compute investments are real but don't yet have an ordinary manufacturer access route.
The practical takeaway: don't treat an announced national envelope as an open local intake. If your project is viable, pursue a route that's open now and keep these on a watchlist.
How do you actually start?
The most common mistake is chasing a headline before doing the groundwork. This sequence puts the work in the right order.
- 1
Choose one operational problem. Start with a bottleneck, defect rate, scheduling delay, downtime, quoting burden, or energy cost, not with "we need AI."
- 2
Record the baseline. Capture the current cycle time, error rate, labour hours, lead time, or scrap. This becomes both your business case and your reporting baseline.
- 3
Classify the project using the five types above. A project can have multiple work packages, but each cost should have one primary rationale.
- 4
Run a readiness check on data quality, system access, cybersecurity and privacy, integration, and whether someone owns the process. NGen and the Ontario DCC are practical assessment routes.
- 5
Use the federal Business Benefits Finder, then talk to a human adviser before spending: an IRAP ITA for technical work, FedDev or your regional agency for a regional investment, BDC for financing.
- 6
Build the funding stack before you procure. Separate owner cash, financing, repayable and non-repayable contributions, and tax credits, and assume reimbursement will lag.
- 7
Don't start eligible work until the program allows it, and keep every quote, invoice, and record from day one. Many contribution programs won't cover costs incurred before approval.
Your first 30 days: Week 1, define the problem and baseline. Week 2, review data readiness and have two supplier conversations. Week 3, contact NGen or IRAP, BDC, and your regional or provincial adviser. Week 4, choose the route, freeze the cost breakdown, and decide whether you need to apply before contracting.
How AltoLeap helps
AltoLeap builds custom software and automation for Canadian manufacturers, from quoting and CPQ to portals, reporting, and integrations. We are not grant writers, and we won't pretend the "AI" label unlocks funding on its own. What we do is help you define the operational problem, classify the project honestly, and build the system that earns its return, whether or not any funding applies. When a project genuinely fits a program, we can point you to the right route and the right adviser. When it doesn't, we'll tell you that too.
See how the entry point works: the AI Opportunity Blueprint, or the related service page, AI-Assisted Process Automation.