Will AI Replace call centre agent?

Call centre agents face a 87/100 AI disruption score—the highest risk category. However, complete replacement is unlikely in the near term. While AI excels at handling routine inquiries and data processing, human agents remain essential for complex problem-solving, stress management, and relationship-building. The role will transform significantly rather than disappear, with AI handling volume and agents managing exception handling and strategic customer interactions.

What Does a call centre agent Do?

Call centre agents are frontline customer service professionals who manage incoming and outgoing calls for businesses. They handle customer inquiries, process payments, consult knowledge bases, and maintain detailed task records. Agents also proactively call prospects to promote products and services, arrange sales visits, and nurture customer relationships. This role requires multitasking across phone systems, customer relationship management software, and documentation while maintaining professional communication under time pressure.

How AI Is Changing This Role

The 87/100 disruption score reflects a significant but asymmetric AI threat. Routine tasks driving vulnerability—processing data (54.34/100 skill vulnerability), managing credit card payments, and accessing knowledge bases—are prime automation targets. Conversely, call centre agents' most resilient capabilities are distinctly human: stress tolerance, active listening, independent task management, and communication principles all score high resistance to automation. The Task Automation Proxy (60.94/100) indicates roughly 60% of current call handling can be handled by AI systems, particularly first-contact resolution for standard inquiries. AI Complementarity (59.81/100) suggests near-parity between replacement and enhancement scenarios. Near-term disruption will concentrate on high-volume, low-complexity calls shifting to chatbots and IVR systems, while human agents increasingly manage escalations, emotionally complex situations, and sales-oriented conversations. Long-term, the role becomes more specialized—hybrid teams where AI handles intake and routing while agents focus on retention, relationship management, and problem-solving that AI cannot replicate effectively.

Key Takeaways

  • 87/100 disruption score indicates very high risk, but human agents will remain valuable for complex interactions, stress management, and customer relationships.
  • Routine tasks like data processing and payment handling are most vulnerable to automation, while stress tolerance and active listening remain highly resistant.
  • AI will likely automate approximately 60% of high-volume, low-complexity inquiries, shifting remaining human agents toward higher-value, emotionally intelligent work.
  • Upskilling in AI-complementary areas—language diversity, data analysis, solution creation, and CRM mastery—will determine career resilience.
  • Agent roles will evolve from volume-based to quality-based metrics, emphasizing problem-solving and customer retention over call handling quantity.

NestorBot's AI Disruption Score is calculated using a 3-factor model based on the ESCO skill taxonomy: skill vulnerability to automation, task automation proxy, and AI complementarity.

Nestorbot
87/ 1000100Very High Risk

call centre agent

Call centre agents handle incoming or outgoing customer calls for a business. They call existing and prospective customers to promote goods and services. They also obtain sales and arrange sales visits.

ISCO 5244Explore this role
54
Skill Vulnerability
Impact: Now
61
Task Automation
Impact: 1–3 years
60
AI Enhancement
Impact: 5+ years

How AI Will Change This Role

Expected Impact Timeline

Near-term (1-3 years)

AI tools can already take over many routine tasks in roles with this score. Early adopters gain a productivity edge.

Mid-term (3-7 years)

Significant task automation expected. Role will evolve — fewer positions, higher skill requirements.

Long-term (7-15 years)

Role substantially transformed. Remaining positions require AI management skills + deep domain expertise.

Tasks Most Likely to Be Automated

  • ⚠process data
  • ⚠credit card payments
  • ⚠knowledge base
  • ⚠keep task records

Tasks That Will Remain Human

  • ✔tolerate stress
  • ✔listen actively
  • ✔handle tasks independently
  • ✔teamwork principles

Skills to Develop for AI Resilience

speak different languageshave computer literacyperform data analysiscreate solutions to problemsuse customer relationship management software

Most Vulnerable Skills

process data88%
process dataEnter information into a data storage and data retrieval system via processes such as scanning, manual keying or electronic data transfer in order to process large amounts of data.
credit card payments85%
credit card paymentsThe methods involving payment done through credit cards.
knowledge base85%
knowledge baseAn online library that contains information about a product or service to help customers finding answers to their queries.
keep task records84%
keep task recordsOrganise and classify records of prepared reports and correspondence related to the performed work and progress records of tasks.
e-procurement78%
e-procurementThe functioning and methods used to manage electronic purchases.

Exposure

Most Resilient Skills

tolerate stress8%
tolerate stressMaintain a temperate mental state and effective performance under pressure or adverse circumstances.
listen actively15%
listen activelyGive attention to what other people say, patiently understand points being made, asking questions as appropriate, and not interrupting at inappropriate times; able to listen carefully the needs of cus...
handle tasks independently20%
handle tasks independentlyHandle inquiries or information independently with little or no supervision. Depend on one's self to communicate with others and perform daily tasks such as working with data, creating reports, or usi...
teamwork principles20%
teamwork principlesThe cooperation between people characterised by a unified commitment to achieving a given goal, participating equally, maintaining open communication, facilitating effective usage of ideas etc.
communication principles22%
communication principlesThe set of commonly shared principles in regards with communication such as active listening, establish rapport, adjusting the register, and respecting the intervention of others.

Exposure

AI-Enhanced Skills

speak different languages82%
speak different languagesMaster foreign languages to be able to communicate in one or more foreign languages.
have computer literacy82%
have computer literacyUtilise computers, IT equipment and modern day technology in an efficient way.
perform data analysis82%
perform data analysisCollect data and statistics to test and evaluate in order to generate assertions and pattern predictions, with the aim of discovering useful information in a decision-making process.
create solutions to problems77%
create solutions to problemsSolve problems which arise in planning, prioritising, organising, directing/facilitating action and evaluating performance. Use systematic processes of collecting, analysing, and synthesising informat...
use customer relationship management software75%
use customer relationship management softwareUse specialised software to manage company’s interactions with current and future customers. Organise, automate and synchronise sales, marketing, customer service, and technical support, to increase t...

AI Boost

Safer Adjacent Roles

Similar roles in your field with lower AI disruption risk.

call centre supervisor-23 points lower risk
64
car leasing agent-10 points lower risk
77
ICT help desk agent-7 points lower risk
80
customer service representative-6 points lower risk
81
live chat operator-2 points lower risk
85

Career Pivot Options

Alternative career directions with lower AI disruption risk. These roles require different skills but offer more resilience to automation.

distribution manager-44 points lower risk
43
ICT help desk manager-32 points lower risk
55
technical sales representative-30 points lower risk
57
contact centre manager-24 points lower risk
63
sales processor-17 points lower risk
70

How will AI change your job?

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What You Should Do Next

1

Assess your current skills against AI-resilient competencies

2

Start building skills in areas AI cannot easily replicate

3

Consider adjacent roles with lower disruption risk

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How AI Can Help You in This Role

AI disruption isn't all negative. Here's how AI can make this role more rewarding:

Productivity Boost

AI tools can automate repetitive tasks, freeing you to focus on higher-value strategic and creative work.

New Specialisations

As AI transforms this field, entirely new roles and career paths are emerging that combine domain expertise with AI fluency.

Higher Market Value

Professionals who can leverage AI effectively in this role command premium compensation and are in growing demand.

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