The short answer: because adoption isn't reaching the point of execution.
AI is everywhere in sales conversations. Organizations are investing in new platforms, experimenting with copilots, and encouraging teams to embrace AI-powered workflows.
But LeadG2's Revenue Enablement in the AI Era report uncovered an important disconnect: while leaders are increasingly adopting AI, many frontline salespeople aren't experiencing the same shift. In several of AI's highest-value use cases, the people who stand to benefit most are the least likely to be using it.
That's not an AI problem. It's an enablement problem.
One of the biggest misconceptions about AI adoption is that once a company purchases the technology, everyone begins using it.
In reality, adoption tends to happen unevenly.
Leaders often explore AI first because they're evaluating strategy, approving investments, and experimenting with new ways to improve productivity. But those tools don't always make their way into the daily workflows of frontline sellers.
The report highlights several examples of this divide.
The pattern continues in sales.
While 42-43% of executives and sales leaders report using or planning to adopt AI for sales call coaching and conversation intelligence, only 6% of sales individual contributors do.
The technology exists.
Leadership sees the opportunity.
But adoption isn't reaching the people having customer conversations every day.
Ironically, the people using AI the least may have the most to gain from it.
For individual sales reps, AI can help:
These aren't incremental conveniences. They directly impact how much time a rep spends with customers versus completing manual tasks.
When AI is embedded into everyday selling activities, even small efficiency gains compound across hundreds of conversations each year.
That's why expanding AI beyond leadership use cases is such an important opportunity.
One of the clearest themes throughout the report is that leaders consistently report higher confidence in AI, systems, and enablement than individual contributors.
That pattern matters because it's easy to mistake organizational investment for organizational adoption.
An executive may know that conversation intelligence software has been purchased.
A sales rep knows whether it actually helps them prepare for tomorrow's customer meeting.
Those are two very different questions.
The same perception gap appears throughout the report, whether discussing AI effectiveness, systems integration, or content personalization. The closer respondents are to day-to-day execution, the more cautious they become about describing AI as fully embedded into their work.
The answer isn't resistance.
In fact, the report found organizational skepticism ranks near the bottom of the list of AI adoption barriers.
Instead, one challenge stands above all others: Training.
Across every role surveyed, lack of training and internal expertise was identified as the number one barrier to AI adoption. And the people feeling that gap most acutely were frontline salespeople.
This suggests organizations aren't facing an AI technology problem.
They're facing an AI capability problem.
This is where revenue enablement becomes critical.
Too often, AI rollout looks something like this:
The company purchases a new platform.
A kickoff meeting introduces the tool.
A few best practices are shared.
Then everyone returns to work.
That's implementation. It isn't enablement.
Effective enablement helps individual contributors understand:
Without that ongoing support, AI becomes another application sitting in the tech stack instead of becoming part of how revenue teams operate.
Organizations seeing the strongest adoption typically treat AI the same way they treat sales skills: as something that requires continuous development rather than a one-time rollout.
That often includes:
The technology matters.
But habits determine whether the technology creates value.
One of the strongest conclusions from our Revenue Enablement in the AI Era research is that AI adoption isn't simply a technology initiative; it's an enablement initiative.
Organizations that see the greatest return won't necessarily be the ones with the newest AI tools. They'll be the ones that invest in helping frontline teams confidently incorporate those tools into the moments that matter most: customer conversations, pipeline management, and day-to-day selling.
Because the real competitive advantage isn't owning AI.
It's enabling people to use it well.
According to LeadG2's research, the biggest barrier isn't resistance. It's a lack of training and internal expertise.
AI can improve meeting preparation, prospect research, call coaching, administrative efficiency, and buyer personalization when integrated into daily workflows.
Leaders often evaluate AI based on organizational investment and strategy, while individual contributors judge it based on whether it improves their daily work.
Treat AI training like sales enablement: continuous, practical, and embedded into coaching, not a one-time implementation project.