The rise of "AI Agents" and "AI Copilots": what's the difference and why is it important?

Nicolas Pellissier
Published on
January 28, 2026

The business world is buzzing with excitement over the potential of AI, particularly the emergence of “AI Agents” and “AI Copilots”. These terms might seem interchangeable at first glance, but they represent fundamentally different approaches to integrating AI into the workplace.

At Klark, our vision is not to replace humans but to harness AI in service to humanity. We believe that AI is here to empower humans, not replace them.

The reliability offered by machines allows us to alleviate humans from repetitive, ordinary, and stressful tasks. By delegating these tasks to AI, we free our employees to focus on high-value activities that truly require human flexibility and intelligence. This approach not only enhances productivity but also enriches the work experience, fostering a more innovative and engaged workforce.

Understanding the distinction between AI Agents and AI Copilots can help businesses make strategic decisions about how to best leverage AI for their needs.

AI Agent/ AI Copilot

AI Agents vs. AI Copilots: Defining the Terms

AI Agents: think of AI Agents as autonomous workers. They’re designed to fully take over specific roles that humans typically do. AI Agents can perform tasks, make decisions, and take actions all on their own, without needing any human help. The idea is to completely replace human effort in certain jobs, which can lead to big cost savings and efficiency improvements in the short term.

AI Copilots: on the other hand, AI Copilots are like trusty sidekicks for humans. They don’t replace people. Instead, they work alongside them to make their jobs easier. AI Copilots provide assistance, insights, and help automate repetitive tasks. The goal here is collaboration, boosting the productivity and effectiveness of human workers.

The strategic role of AI Agents

One might assume that both AI Agents and AI Copilots offer equally appealing benefits. However, in scenarios where tasks are highly repetitive, standardized, and do not require human intuition or creativity, AI Agents might be a better fit.

  1. Cost reduction: by replacing human workers in specific roles, companies can significantly cut down on payroll expenses. This is especially impactful for roles that are numerous and easily automatable.
  2. Scalability: AI Agents can scale operations quickly and efficiently, handling large volumes of work without the need for additional hiring or training.
  3. Consistency: unlike humans, AI Agents provide consistent performance without fatigue, ensuring high-quality outcomes in routine tasks.

AI Copilot

The business case for AI copilots

While AI Agents present a compelling case, AI Copilots also have their place. In fact, practical business considerations often make AI Copilots a more attractive option.

  1. Enhanced efficiency: even a 50% increase in human productivity can lead to significant improvements in business operations. By empowering employees with AI tools, companies can achieve greater output without the disruption and risk associated with complete automation.
  2. Human expertise: many tasks still require human judgment, creativity, and emotional intelligence. AI Copilots allow businesses to leverage these uniquely human qualities while handling more ordinary aspects of work through automation.
  3. Workforce stability: replacing humans entirely with AI Agents can create uncertainty and resistance among employees. In contrast, AI Copilots can be introduced as supportive tools, making the transition smoother and maintaining morale.
  4. Flexibility and adaptability: AI Copilots can adapt to various roles and assist with a wide range of tasks. This flexibility makes them valuable in dynamic business environments where roles and requirements can change rapidly.

our trustee Klark Copilot

Identifying the low-hanging fruit for AI implementation: a nuanced approach

When it comes to implementing AI in your business, starting with the low-hanging fruit (those opportunities that are easiest to pick and can deliver significant benefits quickly) makes a lot of sense.

In 2024’s tech landscape, the best candidates for AI implementation are roles that are both numerous and monotask-oriented. These roles are simpler to automate with current technology and can have a substantial impact on a company’s operations. However, while this approach offers clear benefits, it’s essential to consider the human element and implement changes thoughtfully and gradually.

low-hanging robot

Monotask roles: ideal for initial AI implementation

Monotask roles are jobs that involve repetitive, straightforward tasks. These tasks follow a set pattern or routine, making them ideal candidates for automation using current AI technology. Examples include data entry, simple customer service interactions, and routine administrative tasks.

Numerous roles: maximizing efficiency

Numerous roles that require a large number of employees, such as call center operations or basic manufacturing tasks, can benefit greatly from automation. Automating these roles can lead to substantial cost savings and productivity gains due to the scale of the operation.

While automating single-tasking roles is practical and beneficial, it's essential to approach this transition in a considered way.

  1. Gradual implementation: the gradual introduction of AI allows time for the retraining and redeployment of the workers concerned, helping them to adapt to new functions within the company.
  2. Ethical considerations: transparent communication on changes, support for displaced workers and ethical sharing of efficiency gains are crucial responsibilities for companies.
  3. Long-term strategy: beyond immediate benefits, a long-term approach should focus on creating new opportunities for human workers, emphasizing roles that require creativity, judgment, and emotional intelligence to maintain a balanced workforce.

Balancing AI integration: empowering humans and driving business growth

The debate between AI Agents and AI Copilots is not about which is superior but about which is more suitable for a given business context.

Companies must carefully evaluate their needs, considering factors such as task complexity, the value of human expertise, and the potential for cost savings. By strategically deploying AI Copilots and AI Agents where they are most effective, businesses can harness the full potential of AI to drive growth and efficiency.

human + robot = ❤️

However, it’s essential to balance efficiency gains with the human impact of such changes. By taking a gradual approach, providing support for displaced workers, and focusing on long-term strategies that create new opportunities, businesses can harness the power of AI responsibly. This nuanced approach ensures that AI serves as a tool for empowerment and growth, benefiting both the company and its employees.

At Klark we dream of a world where technology and humanity coexist harmoniously, driving innovation and growth while maintaining the invaluable human touch. Our approach ensures that AI serves as an enabler of human potential, fostering a future where both technology and people thrive together.

Nicolas, co-founder of Klark⚡️

Ready to boost your customer service?

Discover how Klark saves your support teams over 50% of their time.

You might like

Klark blog thumbnail
- 5 MIN READING 

AI solutions for customer service: what alternatives are there to traditional CRM systems?

Intercom Fin, Zendesk AI, HubSpot Breeze... Native AI promises to automate support, but often locks teams into a single ecosystem. This article breaks down the limitations of "closed" AI and shows why a CRM-agnostic, co-pilot approach is more effective, flexible, and cost-effective for customer service.
Klark's author
Chief of Staff
Klark blog thumbnail
- 5 MIN READING 

RAG for customer support: methods, examples and best practices

Discover how RAG (Retrieval-Augmented Generation) is transforming customer support: methods, real-life examples, best practices for delivering accurate, up-to-date answers while eliminating AI hallucinations.
Klark's author
Chief of Staff
Klark blog thumbnail
- 5 MIN READING 

What is an AI agent? Definition, role and the customer support revolution

Find out what an AI agent is: a clear definition, how it works, how it differs from chatbots, and how these autonomous artificial intelligences will revolutionize customer service in 2025.
Klark's author
Co-founder and Co-CEO
Klark blog thumbnail
- 5 MIN READING 

Generative AI customer service: methods, examples and best practices

Discover how generative AI (GenAI) is transforming customer service: methods, real-life examples, best practices, and how to deploy it successfully to boost productivity, cut costs and improve customer satisfaction.
Klark's author
Co-founder and Co-CEO
Klark blog thumbnail
- 5 MIN READING 

AI agents as employees: methods, examples and best practices

Find out how to integrate AI agents as employees: proven methods, real-life examples from leading companies (Klarna, Octopus Energy), and best practices for augmenting your teams with AI in 2025.
Klark's author
Chief of Staff
Klark blog thumbnail
- 5 MIN READING 

Artificial intelligence in customer relations: methods, examples and best practices

Discover how artificial intelligence is transforming customer relations: proven methods, concrete examples of successful companies, and best practices for successfully deploying AI in your customer service department.
Klark's author
Chief of Staff