If you delay innovation long enough, modernization becomes impossible. I see this pattern over and over again.
Dana McCauley, CEO of the Canadian Food Innovation Network, sees it at scale across a $93 billion food sector. When I asked her what holds companies back, she did not hesitate.
“You can definitely have an advantage in doing things in an efficient way,” she told me, “but you also can’t put innovation off forever.”
That line should stop you. Because too many CEOs treat innovation as a luxury line item instead of a survival discipline.
Sweating Assets Is A Short-Term Strategy
Dana described a common tension inside scaling companies. Leaders push hard for contribution margin. They sweat assets. They depreciate everything. They optimize for short-term efficiency.
That works for a while. Then it traps you.
She has watched medium-sized food brands avoid automation for years to keep costs down. Now, some of them are stuck.
“To modernize is almost impossible,” she said. “To get to industry 4.0, sometimes at 2.0, they’re using pens and paper.”
Think about that.
Industry 4.0 conversations. Clipboard execution.
If you do not budget for innovation every year, both strategically and financially, you are making a decision. You are choosing technical debt at the operational level.
The Ferrari In First Gear
Small and medium enterprises face a different constraint.
They are not lazy. They are overloaded.
Since 2019, CEOs have dealt with COVID, supply chain shocks, geopolitical noise, labor disruption, inflation. Dana pointed out there has not been a “normal day of business” in years.
So what happens?
They buy sophisticated systems. She described it perfectly:
“They buy the Ferrari of systems, they drive it in first gear because they don’t have the depth or the time to really be purposeful.”
The tool is not the problem. The leadership bandwidth is.
Large enterprises have innovation scouts. Dedicated teams. Long-term roadmaps.
SMEs have a CEO wearing five hats.
If that CEO does not intentionally carve out time and advisory capacity for modernization, innovation becomes reactive instead of strategic.
Scaling Yourself Is Not Optional
Innovation failure is often a leadership development failure.
Dana was candid about this. Many founders start businesses because they want independence. They build around passion. That works in early stages.
Then complexity increases:
- You need modeling skills.
- You need scenario planning.
- You need capital allocation sophistication.
- You need to understand depreciation, investment timing, risk.
She believes professional development must be part of the CEO job description.
If your company is scaling but you are not upgrading your own financial, operational, and strategic capabilities, you are creating a ceiling.
And that ceiling is you.
Innovation Is Not One Thing
When I asked Dana how CEOs should evaluate innovation versus distraction, she reframed the issue.
“There’s different types of innovation,” she explained.
Market innovation is familiar. Customer discovery. Competitive positioning. New products.
Operational innovation is harder. Modernizing manufacturing. Automating record keeping. Integrating systems. Moving from manual to machine learning.
That is where many companies stall. Her advice was simple and powerful: Build advisory capacity.
Dana relies on an Innovation Advisory Council. She shared a moment when she was excited about funding a proposal. An advisor responded, “They did that in Germany four years ago. You can buy it off the shelf.”
That comment saved time and capital.
You do not need to have every insight internally. You do need access to people who see around corners.
Use AI As A Strategic Assistant
Dana is practical about AI. She avoids hype and focuses on application.
She and her team use large language models to pressure-test plans.
“You can use large language models to put in a plan,” she said, “and then ask the model: What questions should I be asking? What’s not in my plan? What have other people who have done this learned?”
It will not give you certainty.
“It won’t be definitive,” she noted, “but it will certainly be additive.”
That is how a CEO should think about AI. Not as magic. As acceleration.
Industrial AI In Action
In food manufacturing, the biggest wins are not flashy.
They are practical:
- Machine learning replacing clipboards.
- Sensors eliminating waste.
- Automation improving throughput.
- Supply chain systems linking inventory in real time.
Dana described how automation reduces QA holds, limits recalls, and improves food safety. These are not abstract gains. They protect margin and brand trust.
Then she shared an example from her past.
She once ran a facility where 25 people on each line folded spanakopita by hand. Humans were faster and more accurate than machines.
That is changing.
“As dexterity improves,” she said, “those people will probably have to get trained to operate the machines and read the data.”
This is the transition:
- From manual execution to data oversight.
- From labor-intensive to intelligence-intensive.
Operationalizing AI Internally
Dana also applies AI inside her own organization.
She uses LLMs as research assistants. As drafting partners. As accelerators for content production. After events, she drops notes into a model, generates a draft, hands it to her writer, and publishes within days.
She prefers tools that limit source libraries. She wants controlled inputs and trustworthy outputs.
This is disciplined adoption.
Not replacing judgment. Amplifying it.
Your Innovation Discipline
If you are running a company in a mature industry, this conversation should challenge you.
Ask yourself:
- Is innovation explicitly in my annual strategy?
- Is it funded?
- Do I have advisory capacity beyond my internal team?
- Am I personally upgrading my own skills?
- Are we driving the Ferrari in first gear?
Innovation is not about chasing trends. It is about ensuring your operating model does not fossilize.
I work with CEOs who are navigating this exact tension. They are balancing short-term margin with long-term modernization. They are upgrading themselves while upgrading their companies. They are deciding where AI fits and where it does not.
If you are facing those decisions, you do not have to navigate them alone. Listen to the full episode of The Scaling CEO podcast here.
I am Glenn Gow. I coach CEOs who want to scale intelligently, modernize deliberately, and build companies that do not get trapped by their own success.
