IS WORK OVER?

Automation index

How much of a Real estate agent’s job can AI already do?

Today an AI can already find leads, set up contact, and follow through. Sitting across from someone and closing is still something else.

This percentage does not predict how many people will lose their jobs.

Task comparison

Real estate agent

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Generate lists of properties that are compatible with buyers' needs and financial resources.
Estimate

No public source provides a precise figure. This is our estimate.

7%28%+2
Answer clients' questions regarding construction work, financing, maintenance, repairs, and appraisals.
Estimate

No public source provides a precise figure. This is our estimate.

6%12%+0.7
Promote sales of properties through advertisements, open houses, and participation in multiple listing services.
Estimate

No public source provides a precise figure. This is our estimate.

6%28%+1.7
Contact property owners and advertise services to solicit property sales listings.
Estimate

No public source provides a precise figure. This is our estimate.

5%28%+1.4
Display commercial, industrial, agricultural, and residential properties to clients and explain their features.
Estimate

No public source provides a precise figure. This is our estimate.

5%28%+1.4
Coordinate appointments to show homes to prospective buyers.
Estimate

No public source provides a precise figure. This is our estimate.

5%28%+1.4
Contact previous clients for prospecting of referral business.
Estimate

No public source provides a precise figure. This is our estimate.

5%28%+1.4
Act as an intermediary in negotiations between buyers and sellers, generally representing one or the other.
Estimate

No public source provides a precise figure. This is our estimate.

5%22%+1.1
Other less frequent tasks (weight estimated from frequency).
Estimate

No public source provides a precise figure. This is our estimate.

56%28%+15.7
Total100%27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • customer service
  • contract law
  • office administration
  • real estate market
  • mortgage loans
  • property law
  • maintain relationship with customers
  • advise on property value
  • identify customer's needs
  • inform on renting agreements

Sources for this job· O*NET 41-9022.00· ESCO/ISCO 3334

Last-mile manager

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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