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Investors want proof AI pays off, and operations will supply it

Traverse Staffing newsroom · Aug 7, 2026 · updated Oct 19, 2026 · via Canadian Manufacturing

Two people talking through storage in a warehouse aisle

What happened

Fidelity Investments Canada polled financial advisors during recent FidelityConnects webcasts, as reported by Canadian Manufacturing. The advisors named stretched valuations as the biggest risk to AI investments (42%), followed by slower adoption than expected (27%).

The metric they are watching most this earnings season is revenue growth tied to AI products and services (42%). Fidelity's Chris Pepper said advisors now want evidence that AI is driving growth, adoption and business outcomes, not just investment and expectations.

The long-term view is still positive. Only 8% think AI is over hyped, and 84% say it is attractive and still early in its growth cycle. The largest share (43%) sees the biggest opportunity in companies across all sectors that use AI to improve productivity and drive growth. A smaller group (34%) points to AI infrastructure and semiconductors.

Why it matters if you are hiring

This is a poll of advisors, not of manufacturers. But the pressure it describes lands on operations. If investors and boards reward companies that show AI-driven productivity, the people asked to prove it are plant managers, continuous improvement leads, supply chain planners and operations analysts.

That changes what you screen for. A candidate who can talk about AI tools in general is common. A candidate who has set a baseline, run a pilot on a line or a planning process, and reported the change in throughput, scrap, downtime or planning hours is not.

It also affects how you scope roles. Many manufacturers will not need a large AI team. They need operations people who can pair process knowledge with data, work with whoever builds the tools, and say plainly when something is not working. The report does not say how many Canadian manufacturers have reached that point, so assume your peers are at different stages.

One thing to do this week

Pick one AI or automation project already running in your operation and write down its baseline and current result in one metric, such as hours saved, units per shift or error rate. If you cannot, name the person who will own that measurement, and add it to the job description the next time that role opens.

Traverse places operations and manufacturing professionals across Canada and the US, including the process-minded planners, analysts and supervisors who can turn new tools into numbers an owner or board can trust.

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