(StatePoint) Most companies and their employees are already using AI.
If you own your own business or are responsible for leading a team, the big questions are: Do you know which tools your employees are using; how often; and whether any of this is actually improving your business?
If you’re not sure, you’re not alone. And according to new research, that uncertainty is a serious risk.
The Larridin Q1 2026 State of Enterprise AI report surveyed 364 business leaders across 16 industries. Despite heavy investment and nonstop conversation about AI, most organizations are operating without clear visibility. They’re buying tools. They’re not measuring outcomes.
Here’s the number that should make you pause: 45.6% of organizations don’t know their workforce AI adoption rate. They can’t tell you who is using AI, how they’re using it, or what impact it’s having.
That’s not innovation. That’s guesswork.
Your Team Is Already Using AI — With or Without Your Approval
You may assume that AI usage follows a formal organizational rollout. In reality, it often starts at the individual level.
The average business now has 23 different AI tools in active use. Nearly half (45%) were adopted by employees independently — without going through official procurement or IT review.
A member of your team finds a tool that helps. They start using it. A few colleagues may join in. Leadership never hears about it.
This is what researchers call unsanctioned, or "shadow," AI, and it creates real exposure:
• Employees may paste sensitive business data into consumer-grade AI tools that have unclear security protections.
• Multiple departments may pay for overlapping tools that do the same thing.
• High-impact workflow improvements may stay siloed because no one is tracking AI usage or sharing wins.
Your employees are innovating. But without visibility, you can’t scale what works — and you can’t control what doesn’t.
Executives Think They Have Visibility. Managers See Something Different.
When executives were asked whether they have full visibility into AI use, 92.4% said yes.
When managers — the people overseeing daily operations — were asked the same question, confidence dropped to 76.3%.
That’s a 16-point gap between leadership perception and operational reality.
What’s happening?
Many leaders equate “we approved the subscription” with “we understand how it’s being used.” But knowing what you purchased is not the same as knowing how your team uses AI every day — or whether they’re using other tools you didn’t approve.
Visibility requires more than invoices.
An AI Policy Isn’t the Same as AI Control
Most companies responded quickly to the rise of AI rise by drafting policies.
• 69% say they have AI risk and compliance policies in place.
• 81% say they’re satisfied with their guardrails.
On the surface, that sounds reassuring.
But more than one-third of those same organizations admit their governance is inconsistent — and they lack clear visibility into AI-related risks.
In other words, many companies wrote the needed policy. Fewer built the systems to enforce it.
Policy without oversight creates a false sense of security.
The Productivity Gains Aren’t Automatic
You’ve probably heard bold claims about AI saving hours every week. For most workers, that’s not happening — yet.
According to the report:
• 85.7% of workers save fewer than 10 hours per month using AI.
• Only 6% save 20 hours or more.
What separates those two groups? Training.
Organizations that invest in formal AI training programs report:
• 2.7x higher proficiency
• 3.2x greater productivity gains
The highest-performing teams don’t just use AI to draft emails or summarize documents. They redesign workflows. They rethink processes. They integrate AI into how work gets done.
Access to tools isn’t the bottleneck anymore. Capability is.
What You Can Do Right Now
The encouraging part: this isn’t primarily a technology problem.
Only 15% of organizations cited inadequate technology as their biggest barrier. The majority — 58% — pointed to unclear ownership and fragmented responsibility.
In plain terms: no one truly owns AI inside the business.
If you want better results, start here.
1. Audit What’s Actually Being Used
Ask your teams what AI tools they use — including free tools and personal accounts. Don’t assume. Verify.
2. Assign Clear Ownership
Designate a responsible leader. This could be an operations lead, a department head, or a dedicated AI owner. Someone must track usage, risk, and results.
3. Measure Outcomes, Not Activity
“Using AI” isn’t a metric. Track time saved, cost reduction, revenue impact, quality improvements, and risk exposure.
4. Invest in Structured Training
Training multiplies ROI. The data is clear: organizations that teach AI well perform dramatically better.
AI isn’t going away. The companies pulling ahead aren’t necessarily spending more — they’re managing it better.
• They know what’s being used.
• They know who owns it.
• They know what results it delivers.
If you can’t answer those three questions today, that’s your opportunity.
Based on the Larridin State of Enterprise AI Q1 2026 report, a survey of 364 business leaders across 16 industries conducted December 2025–January 2026. Download the full report at larridin.com/state-of-enterprise-ai.
Larridin is the AI impact intelligence platform that helps businesses track AI adoption by their teams and the ROI of their AI investments.
Photo Credit: (c) demaerre / iStock via Getty Images Plus
