AI in Training
👋 Welcome to AI in Training, exploring how AI is transforming the training industry and companies are keeping up.
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What Does “Learn AI” Really Mean?
Almost every enterprise learning conversation starts the same way.
“We need to learn AI” or, “we need AI training.”
But when you look closer, most buyers are not asking how AI works. They are trying to answer more practical questions.
How do we help our teams use AI tools effectively, safely, and consistently in real work?
How do we use AI to be more productive and see real ROI?
That tension is showing up everywhere. A recent survey found that “74% use AI on the job” while “only 33% know what they’re doing.”
People are learning AI on the fly. Formal learning is lagging behind. There’s a huge opportunity for training providers to fill this gap.
What Companies Are Really Trying to Solve with Learning AI
Most organizations are not starting from zero when it comes to learning AI. Tools are already in use. Some teams are moving fast. Others are hesitant. Leadership is paying close attention.
At the same time, confidence is low. While most companies plan to increase AI investment, only about 1 percent believe they are mature in how they actually adopt AI.
So when buyers ask for AI training, what they are really asking is simple and difficult at the same time.
Can you help us turn AI into something our teams can actually use day to day?
That is the real goal behind learning AI inside the enterprise.
Why Broad AI Training Falls Short
Many AI training requests sound familiar. A fundamentals course. Something everyone can take. A fast rollout.
These programs create awareness, but awareness alone does not change behavior.
Microsoft research shows that many organizations still struggle to equip employees with the skills they need to succeed with AI, even after investing in training.
This is why enterprise buyers are becoming more selective. They are looking for AI training that shows up in real workflows, not just completion dashboards.
That includes practical skills like using AI tools confidently, applying prompt engineering training to everyday tasks, and understanding where AI helps and where it does not.
What Enterprise Teams Are Actually Dealing With
Inside most companies, AI adoption looks uneven. A few teams are moving quickly. Others are unsure how to start. Some are experimenting quietly without much guidance.
What is missing is alignment.
Leaders want to see real productivity gains. They want confidence that skills are keeping pace with the tools they are buying.
That is why requests for learning AI often sound broad or vague. They are less about learning concepts and more about productivity.
What This Means for Training Providers
For training providers, delivering AI training today is less about launching a new course and more about changing how learning shows up in real work.
In global organizations, one-size-fits-all programs rarely work. Effective AI training flexes by role and includes practical examples that map to how teams actually use AI. Prompt engineering training, for example, looks very different for engineers, marketers, and support teams.
Strong programs also train on the tools people already use. Instead of abstract demos, learners practice with real workflows, whether that’s drafting customer communications, summarizing internal data, or supporting engineering tasks. This shortens the gap between training and adoption.
Finally, enterprise buyers care about outcomes. Beyond completion rates, they want to know whether teams are using AI more confidently, producing better results, and applying AI in day-to-day work. Training providers who help customers see and explain those changes earn long-term trust.
Launch AI Training Programs with TryTami
AI has not made training providers less important. It has made the role more strategic.
If you are rethinking how AI training should be deployed for your customers or inside the enterprise, you are not alone.
TryTami automates the manual work behind training delivery, so training providers can run global AI training programs without a massive ops team.
Until next Tuesday,
Kelby, Dean, & Dave
About the authors:
This newsletter was written by Dave, Kelby, and Dean from the TryTami team, who work closely with training providers and L&D teams to design and scale instructor-led training programs without the chaos.
Kelby is a former training company founder and CEO, Dean is a former engineering leader, and Dave is a former sales leader in EdTech.
Together, they bring decades of experience across training and technology to help organizations close skill gaps faster by modernizing instructor-led training, reducing operational friction, and connecting teams with vetted instructors.
