“The future of work isn’t about displacement of work by machines but rather has more to do with restructuring of the human skill‑set.” — Dr. Ritesh Malik
When the internet emerged, it didn’t just digitize work, it transformed it. Some job roles disappeared, others evolved, and entirely new ones were created. Repetitive tasks were automated. Digital literacy became essential. Small teams gained tools to do more with less. While disruption was real, those who adapted early found new opportunities.
Today, AI is triggering a similar shift. The roles most at risk aren’t those without technical depth, they’re the ones slow to evolve. Like the internet, AI won’t just replace, it will reshape. The question isn’t whether jobs will change, but how quickly organizations can help their people transition with purpose, upskill with focus, and adopt tools that drive outcomes.
In customer experience and contact centers, the growing use of virtual agents has raised real concerns among human agents worried about job security. By looking at technology workplace transitions from the past can help guide employers to figure out how to support agent upskilling and smooth AI transitions.
Understand the impact of AI on agent roles and identify gaps
One of the key take-a-ways from Salesforce’s Dreamforce this past October was “Success depends on getting the right information to the right agent, human or digital, at the right time.”
AI is well-suited for handling repetitive tasks like data entry, basic routing, and standard queries, freeing up human agents from the monotony of routine work. As these tasks shift to automation, agents are taking on more complex responsibilities that require empathy, real-time problem-solving, and contextual understanding.
This evolution allows agents to focus on what they do best: building relationships, managing exceptions, and delivering personalized experiences that automation alone can’t replicate.
Helping contact center agents adapt to AI starts with assessing current skills, how well they use systems, interpret customer data, and manage complex calls. For instance, an agent who excels at de-escalating frustrated customers but struggles to trust or interpret AI-generated insights may need training focused on tool confidence and understanding how AI supports, not replaces, their role. From there, build toward skills like using real-time transcription to guide conversations or applying AI-recommended actions. The goal is to address real, day-to-day gaps so agents can work effectively alongside AI, not around it.
Building a targeted upskilling plan for contact‑center agents in an AI‑augmented environment
When you’re preparing your team for the future of customer service, it’s essential to prioritize communication, problem‑solving and digital comfort. One provider notes that in AI‑augmented contact centers the “modern agent serves multiple roles: brand ambassador, complex problem‑solver, emotional‑intelligence expert, and technology partner.”
This means your training shouldn’t just focus on tool use, it should sharpen agents’ ability to engage deeply with customers, think on their feet and feel confident working alongside new technologies.
Next, consider how you’ll deliver that training in ways that stick: micro‑learning, mentoring and role‑rotation are practical strategies. For example, a recent guide shows that organizations retraining agents in AI‑augmented environments saw up to a 35 % improvement in customer‑satisfaction scores when they combined soft‑skill development and tool proficiency.
In practice you might introduce short daily modules on interpreting AI suggestions, pair experienced agents with newer ones for peer mentoring, and rotate roles so every agent spends time both using AI‑assisted workflows and handling fully human‑led interactions. This blends skill building with experience in the real operational environment, ensuring the training is grounded in how work is changing.
According to a case study featured by VKTR on AI disruption in customer service, Camping World achieved a 40% increase in customer engagement and a 33% boost in agent efficiency after introducing AI-powered tools into their support workflows. These gains weren’t simply the result of automation, they came from rethinking the agent experience. By allowing AI to handle routine queries and initial triage, agents were freed to focus on higher-value tasks that required empathy, problem-solving, and deeper product knowledge.
This shift required intentional upskilling. Agents were trained not only on how to use the new tools but also on how to interpret AI-generated suggestions and apply them in real time. The result was not just more efficient service, but better conversations, and more confident, capable agents. For organizations looking to modernize, this example shows that success lies in pairing smart tools with smart training.
Provide the Right Tools, Support, and Communication
To help agents thrive in AI-augmented environments, it’s critical to equip them with the right tools, and just as importantly, the right support. Tools must be intuitive, well-integrated, and built into existing workflows. When AI feels disconnected from day-to-day tasks, adoption suffers. But when agents can see how the tools help them do their jobs better, training becomes more practical and valuable.
Salesforce emphasizes this balance in its “Designing Humane AI” approach:
“We have designed our solutions so that humans remain at the center of everything, with better skills, a minimum of drudgery, and best able to unlock their creative potential.”
This underscores the importance of positioning AI not as a replacement, but as an enabler of better work, reducing repetitive tasks while enhancing human contributions.
Beyond training and tools, clear communication is essential. Agents need to understand not just how their roles are changing, but why. Transparency helps ease uncertainty and builds trust. Showcasing success stories, both within your organization and across the industry, can help illustrate the benefits and reinforce that this transition is about growth, not displacement. The organizations that win will be those that prepare their people, not just their platforms.
