News Analysis
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Web Marketing Moneyball: How Web Operations Drive Marketing ROI
The Gist
- What is Forrester predicting? That 49% of current customer service jobs will be lost to AI by 2030 — with junior and mid-tier reps facing the steepest displacement as routine inquiry handling moves almost entirely to AI agents.
- Which brands have replace humans with AI in customer service? Yes. AI is involved in 96% of customer inquiries for Anthropic, resolves 90% for Heathrow Airport travelers, and handles 68–80% for Rocket Money and TeamSystem. The displacement is not a forecast — it is the current operating reality for a growing number of organizations.
- Which organizations will feel human displacement most? High-volume B2C contact centers handling hundreds of thousands of monthly inquiries will see the greatest staff reductions. Lower-volume B2B environments — where cases are more complex and require more human judgment — will see less impact.
- Will any new jobs for humans be created in customer service? Yes. Human-in-the-loop supervisors, AI agent builders, CX optimization specialists, relationship managers and support insight analysts will grow in importance as organizations shift from staffing for volume to staffing for oversight and customer value.
- What should CX leaders do now about AI's intervention in customer service? Reskill deliberately and early. Only 50% of employees say their organization has a structured training curriculum for automation technologies — and Forrester warns that leaders are broadly underestimating how much change management this transition will require.
Bye bye, humans in customer service? One out of every two of you?
Yes, if a Forrester prediction comes true in four years. Researchers predict that by 2030, 49% of current customer service jobs will be lost to AI. Human roles will shift away from direct customer interaction and toward directing, governing and optimizing the AI agents that now do that work. Over the next two to five years, customer service organizations will shrink traditional frontline roles while simultaneously building new, more data-driven and technical positions focused on oversight, insights, and customer value creation.
The report, "AI Agents Reshape The Customer Service Workforce In Dramatic Ways," found AI agents are already handling the majority of customer inquiries across major organizations — and will continue accelerating automation across routine service work at a pace that dwarfs previous technological waves like IVR and chatbots.
Table of Contents
- AI Is Already Handling the Majority of Customer Inquiries
- Human Roles Will Not Disappear — But They Will Fundamentally Change
- High-Volume B2C Contact Centers Will Bear the Brunt
- Reskilling Is the Critical Differentiator — and Most Organizations Are Underprepared
- Organizational Design Must Be Rethought From the Ground Up
- Agentic AI's Impact on Human Jobs: No Joke
- Frequently Asked Questions
AI Is Already Handling the Majority of Customer Inquiries
The displacement is the current operating reality for a growing number of organizations. AI is involved in 96% of customer inquiries for Anthropic, resolves 90% of inquiries for travelers passing through Heathrow Airport and handles between 68% and 80% of customer inquiries for digital-first companies including Rocket Money and TeamSystem.
Unlike prior customer service automation technologies, Forrester argues that AI does not simply make existing activity more efficient. It changes the fundamental nature of how service is delivered — and by whom.
AI agents are not just reducing costs in customer service — they are redefining what customer service work actually is.
- Kate Leggett, VP & Principal Analyst
Forrester
Human Roles Will Not Disappear — But They Will Fundamentally Change
As AI automates routine interactions, the core mandate of human workers shifts from responding to customers to managing AI systems. The report outlines a clear bifurcation: lower-tier customer service representatives will increasingly supervise AI agents, resolve exceptions requiring human judgment and provide feedback to improve AI performance. Higher-tier roles will specialize in complex, technical or relationship-driven work that is difficult or too costly to reliably automate.
New Roles Will Emerge Around Governance, Insights and AI Optimization
Insight and analytics functions — not widely prevalent in today's contact centers — will grow in strategic importance. AI enables detailed forensic analysis of performance and cost down to the level of individual customer intents, unlocking business conversations about whether to invest in churn reduction or cost containment. New "light technology" roles will also emerge: AI agent builders who blend business acumen with low-code development skills, and CX optimization specialists responsible for flagging hallucinations and risky outputs in AI-powered workflows.
High-Volume B2C Contact Centers Will Bear the Brunt
Forrester's scenario planning distinguishes clearly between organization types. High-volume contact centers — typically B2C operations handling hundreds of thousands of inquiries per month — will see the greatest absolute and proportional staff reductions as AI containment rates climb. Forrester's model projects that a center starting with 1,191 employees today could shrink to 880 within two years, and to 504 within five years, as automation reaches an 80% containment rate.
By contrast, lower-volume, higher-complexity B2B environments will see significantly less displacement. Their cases tend to involve longer-running, collaborative workflows requiring human judgment, and automation containment rates are projected to reach 70% — not 80% — within five years, with relatively modest reductions in overall headcount.
How Agentic AI Could Reshape the Contact Center Workforce Over the Next Five Years
Editor's note: Forrester's staffing projections illustrate how agentic AI may dramatically reduce traditional contact center roles while creating demand for new positions focused on customer relationships, AI management, support insights and experience optimization. The model assumes a high-volume contact center starting with 1,191 employees and highlights how workforce composition could shift as AI agents take on a growing share of routine customer interactions.
| Role | Today | 2-Year Projection | 5-Year Projection | Impact |
|---|---|---|---|---|
| Customer Service Representative (CSR) | 1,000 | 600 | 200 | High Reduction |
| Customer Service Supervisor / Manager | 100 | 67 | 40 | High Reduction |
| QA Manager → Hybrid Quality Manager | 50 | 30 | 20 | Moderate Reduction |
| Workforce Manager | 10 | 7 | 3 | High Reduction |
| Relationship Manager (New Role) | — | 50 | 75 | Growing |
| Head of Support Insights (New Role) | — | 15 | 15 | Growing |
| AI Agent Builder (New Role) | — | 10 | 15 | Growing |
| CX Optimization Specialist (New Role) | — | 10 | 10 | Growing |
| Subject Matter / Industry Expert (New Role) | — | 40 | 100 | Growing |
| IT | 10 | 10 | 10 | Stable |
| Total Headcount | 1,191 | 880 | 504 | 58% Reduction Over Five Years |
Reskilling Is the Critical Differentiator — and Most Organizations Are Underprepared
Despite the scale of disruption projected, Forrester's Future of Work Survey 2025 found that just 50% of employees say their organization has a structured training curriculum for working with automation technologies. The report warns that most leaders are underestimating the change management burden, often failing to understand how AI-assumed tasks will interact with existing work patterns or which human skills will become essential.
The report points to IKEA as a case study in proactive reskilling: the retailer retrained more than 8,500 customer service representatives to become interior design advisers while AI absorbed routine inquiry handling — a deliberate strategy to differentiate the brand and deepen customer loyalty rather than simply cut costs.
The Staffing Transition Can Be Managed Gracefully
Forrester recommends that organizations lean on natural attrition — already averaging 60% annually in contact centers — to avoid abrupt large-scale layoffs. By not backfilling roles as employees leave and redirecting those resources toward reskilling top talent into new positions, leaders can manage the transition without the disruption and reputational damage of mass reductions. One biomedical organization cited in the report used a skills intelligence platform to identify transferable skills between retail workers and customer service staff, reducing projected layoffs from 28% to 11%.
Related Article: Anthropic Finds Customer Service Reps Among Jobs Most Vulnerable to AI
Organizational Design Must Be Rethought From the Ground Up
Forrester argues that the contact center's traditional hierarchical pyramid — built for volume management, clear escalation layers, and handle-time metrics — is structurally incompatible with an AI-first operating model. AI will flatten organizations into smaller, more collaborative, and more specialized teams. Middle management layers will thin. Success metrics will shift from efficiency-focused KPIs to measures of customer value creation, retention, and revenue contribution.
A key warning: many organizations struggle to assign clear ownership for AI operations. As one expert quoted in the report notes, "AI becomes everyone's job, which usually means it's really no one's job." Forrester urges leaders to use RACI frameworks explicitly to assign responsibility for AI creation, management, supervision, and optimization — and to treat that governance work as a first-class organizational function, not an afterthought.
Agentic AI's Impact on Human Jobs: No Joke
The Forrester number aligns with broader industry forecasts that position customer service as one of the most AI-exposed professions. Multiple analyst firms, including Gartner and McKinsey, project that the majority of routine customer service tasks will be automated by the end of the decade, with agentic AI expected to handle up to 80% of basic inquiries and workflows, according to industry research.
The Transformation, Not Just Reduction
However, the trajectory isn't simply about mass layoffs. Research indicates that while over 80% of organizations expect to reduce agent headcount, nearly as many plan to transition those employees into new roles—including automation supervisors, escalation specialists and AI trainers. Companies that focus solely on headcount reduction often find themselves rehiring for similar functions within a few years, as automation strategies tend to overestimate AI's capabilities and underestimate the complexity of customer needs, according to industry analysts.
Related Article: The Great Customer Service Rehiring Is Coming
Human-AI Collaboration Emerges as the Model
Human agents will increasingly focus on complex, high-value interactions, while AI manages repetitive and routine tasks. Organizations that invest in upskilling and redesigning workflows will maintain service quality and customer trust, while those pursuing quick cost savings risk eroding both, analysts assert.
Looks like AI will take the boring calls, but humans will still be needed for the ones that make you want to pull your hair out.
Frequently Asked Questions
What Percentage of Customer Service Jobs Will AI Eliminate By 2030?
Forrester predicts that 49% of current customer service jobs will be lost to AI by 2030. Automation is taking over routine inquiry handling, and human roles are shifting toward governing, coaching, and optimizing the AI agents that now handle those interactions directly.
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High-volume B2C contact centers handling hundreds of thousands of monthly inquiries will experience the steepest staff reductions, with AI projected to reach 80% containment within five years. Lower-volume B2B environments will see less displacement — containment is projected at around 70% — because their cases tend to be more complex, longer-running, and require more human collaboration and judgment to resolve. New roles growing in importance include Human in the Loop (HITL) supervisors who provide real-time oversight of AI agents, relationship managers handling nuanced customer relationships, subject matter and policy experts, hybrid quality managers who scorecard AI outputs, heads of support insights, CX optimization specialists, and AI agent builders who design and deploy AI agents using low-code platforms. Forrester recommends several steps: map which jobs will change and at what pace; redefine and hire for skills like data analytics, critical thinking, quality oversight, and cross-team collaboration; build a structured reskilling and upskilling curriculum rather than relying on one-time training; use natural attrition rather than abrupt layoffs to manage headcount transitions gracefully; and establish explicit organizational ownership for AI governance using RACI frameworks. Junior and mid-tier customer service representatives face the highest risk of displacement because their work has the highest potential for automation. Workforce managers are also significantly affected. Roles requiring nuanced judgment, relationship management, or deep technical expertise — as well as data-centric and insights functions — are considerably more protected.AI is already deeply embedded in live customer service operations. According to the Forrester report, AI is involved in 96% of customer inquiries for Anthropic, resolves 90% of inquiries for Heathrow Airport travelers, handles 68% of inquiries for the personal finance app Rocket Money, and manages 80% for the technology company TeamSystem.