
Are You Using AI for Food Safety? New Poll Shows 43% Still Aren't
Poll Results: The 19% Using AI Daily Are Getting Ahead Fast
We recently posted a poll on LinkedIn asking: "How many times a day do you use AI for FSQA?"
The results reveal a significant opportunity gap in our industry.
The Numbers
Out of almost 100 total responses:
- (43%): Never
- (19%): At least once a month
- (19%): 1-3 times per week
- (19%): Every single day
The Major Advantage for FSQA Teams Using AI
While nearly half of FSQA professionals aren't using AI yet, that 19% using it daily are building a serious competitive advantage. Harvard Business Schoolreported that employees who use AI daily complete tasks 25% faster. They're automating routine tasks, catching issues faster, and making data-driven decisions while others are still manually processing information.
Think about it: if you're using AI daily and your competitor isn't using it at all, you're essentially operating with superpowers they don't have. You're reviewing documents faster, spotting patterns in data they'd miss, and freeing up time for higher-level strategic work.
The gap between AI users and non-users in FSQA will only widen as these tools become more sophisticated.

Simple Ways to Start Using AI Daily
If you're in the 81% not using AI every day, here are practical applications you can start with tomorrow:
Document Review & Analysis
- Use AI to scan SOPs to tie it to SQF, FDA, USDA, and other regulatory bodies (Allera's doc control tool does this for you)
- Summarize lengthy audit reports and highlight critical findings
- Extract key data points from inspection logs and lab results
Data Pattern Recognition
- Analyze temperature logs to identify equipment drift before it becomes a problem
- Review customer complaint trends to spot emerging quality issues
- Monitor supplier performance data for early warning signs
Trending Data & Reports
- Auto-generate daily production summaries from your existing data
- Create compliance status reports by pulling information from multiple systems
- Draft incident investigation reports with AI assistance for consistency
Predictive Insights
- Use AI to forecast when equipment might need maintenance based on historical data
- Predict potential contamination risks based on environmental conditions
- Anticipate peak inspection periods and resource needs
The Bottom Line
The 19% using AI daily aren't just working faster—they're working smarter. They're catching issues earlier, making more informed decisions, and positioning themselves as indispensable in an increasingly data-driven industry.
The question isn't whether AI will become standard in FSQA work. It's whether you'll be among the early adopters who shape how it's used, or if you'll be playing catch-up later.
Start small, pick one area, and begin building your AI advantage today.
Ready to join the 19%? Connect with us to explore how AI can transform your daily FSQA workflows.