Network rollout and subcontractor management
ISCO-08 3123, 1323Rollout project manager, Subcontractor manager, Fibre deployment manager, Telecom works supervisor, Mobile site build manager, Rollout coordinator
Headcount need, in FTE
Target AI skills
level 1 to 4Job skills
Growing in value
- Managing subcontractor performance and penalties
- Targeted quality audits on site
- Dealing with local authorities and landlords
- Acting on AI quality and delay alerts
Losing value
- Manual checking of as-built files
- Consolidating progress from partner spreadsheets
- Chasing documents and permits by email
- Writing standard work orders
How the job will change
A rollout manager spends much of the week checking files: as-built records, connection photos, permit applications, subcontractor invoices. Image recognition now checks connection photos and flags poor workmanship, and assistants consolidate progress from partner spreadsheets and draft the weekly reporting. Planning tools propose a sequence of works based on permits and crew availability.
The core of the job remains on the ground and in the relationship: visiting sites, holding subcontractors to their commitments, dealing with town halls, landlords and building managers. AI makes it easier to target audits where quality drifts. A good rollout manager tomorrow uses these alerts to act earlier, and keeps the authority to stop a subcontractor whose work falls short.
- 2026-2027
- Automatic photo checks of connections and AI-drafted progress reports.
- 2028-2030
- Predictive alerts on subcontractor quality and delays guide audits and payments.
- 2031+
- Fewer files checked by hand, more time on site and with partners.
As fibre rollout matures, the need shifts from building networks to maintaining an installed base built by many subcontractors. The skills to audit and restore that base are scarcer than rollout skills. See the seniority outlook below.
What if you hired fewer juniors?
Your 2036 seniors are the juniors you hire today.
Advanced settings modified
2026 2036
The AI Cookbook 2026
albert's guide to cut through the noise around generative AI and turn it into workforce decisions.
- What AI actually changes in jobs and skills
- Why the junior pipeline matters more than most companies realise
- How to integrate AI into workforce planning

Run these scenarios on your actual workforce
AI Impact Diagnostic: 6 to 8 weeks, your data in albert, three costed scenarios and the projected seniority mix for each job family.
How the numbers are built
Every headcount figure combines four assumptions. Three come pre-filled from public research and job family defaults. The strategic ceiling is yours to set.
Seniority outlook
A flow model with three levels of experience in the profession. Promotion and exit rates are set so that today's mix stays stable when hiring does not change: any gap you see comes from the junior hiring cut alone.
Sources
- International Labour OrganizationGenerative AI and jobs: a refined global index of occupational exposure (2025)
- ILO datasetTask-level GenAI exposure scores by ISCO-08 occupation
- AnthropicAnthropic Economic Index (June 2026 release, April and May 2026 usage data)
- Stanford Digital Economy LabCanaries in the Coal Mine? Six facts about the recent employment effects of AI