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Compare roles · AI exposure side by side

Telemarketers

Put up to three roles next to each other: the exposure figure, the inputs behind it, the window, what is driving change, and where the work moves. Every figure comes from the same method, so the gap between two scores means something.

Telemarketers

Exposure

Telemarketers
76

Very high exposure

More exposed than 94% of 250 roles

Window · adoption

0–3 yrs

until most of the change has landed

Very High adoption

In one line

AI voice agents and predictive diallers now place calls, qualify leads and handle scripted pitches, leaving humans the objections and the close.

Inputs behind the score · scaled 0–100

Task applicability

81

Observed usage

38

Official exposure tier

100

Labour-market trajectory

n/a

Published adoption rating

85

What is driving it

  1. AI voice agents
  2. Predictive and parallel dialling
  3. Real-time coaching and scripting
  4. Lead scoring in the CRM
  5. Speech analytics for quality control
  6. Regulatory pressure on outbound calling

Skills worth building

  1. Consultative selling
  2. Handling live transfers
  3. Compliance literacy
  4. Conversation analytics
  5. Written follow-up
  6. CRM discipline

Tools in the work now

  1. Five9
  2. Dialpad Ai
  3. Salesforce Einstein
  4. HubSpot
  5. Gong

Where the work moves

Data Entry Keyers83

More exposed

Digital Marketing Specialists76

Different skills, growing

Full report

Read Telemarketers

Scores are the CareerGuard Exposure Index v2: the same five inputs and weights for every role, so a gap of ten points means the same thing wherever it appears. How scores are built.