Strengthening AI & Cybersecurity Talent Strategy for a Leading Finland-Based $25B Global Telecommunications Enterprise

Discover how Draup strengthened AI and cybersecurity workforce strategy for a $25B global telecom leader.

~78000

Employees

$25B

Revenue

Telecommunications & Network Infrastructure

Industry

Espoo, Finland

Headquarters

About the organization

A global telecommunications and network infrastructure leader delivering mobile networks, IP networking, cloud solutions, and optical connectivity across 100+ countries. With AI-driven automation and cybersecurity reshaping telecom, the organization sought data-backed talent intelligence to guide workforce expansion.

The Core Challenges

Map Growth Trends by Country
Assess global talent supply and demand dynamics for AI and cybersecurity across eight priority countries, identifying growth trends and demand-supply gaps.
Skill Cluster Mapping
Map traditional and emerging skill clusters in both domains, distinguishing sunrise capabilities from continuing skillsets to guide hiring and upskilling priorities.
Peer Benchmarking
Benchmark the organization's AI and cybersecurity workforce positioning against major tech and telecom peers across talent size, growth rate, and hiring intensity.
Cost-Efficient Hub Identification
Identify scalable, cost-efficient global talent hotspots to diversify sourcing beyond saturated tier-1 hubs and reduce competitive hiring pressure.

The Solution

Electronics Engineer
PROFILE
LOCATION ANALYSIS
TALENT MARKET INSIGHTS
CAREER PATHS
DATA INTEGRATION
TECH STACK
The image is for representational purpose only.
01
Global AI & Cybersecurity Talent Market Analysis
Mapped quarter-over-quarter talent demand trends for both AI and cybersecurity from 2022 to 2025, analyzing supply growth, demand-supply ratios, and year-over-year shifts across the US, India, Canada, France, Poland, Romania, Portugal, and Finland.
02
Skill Cluster & Gap Diagnostics
Identified high-growth sunrise skills—including RAG, generative modeling, prompt engineering, Zero Trust Architecture, and DevSecOps—alongside continuing traditional capabilities, quantifying share-of-volume shifts in the organization's hiring patterns.
03
Peer Benchmarking & Competitive Intelligence
Benchmarked the organization against six major tech peers and six telecom peers on talent supply, year-over-year growth, hiring demand, and skill mix across both AI and cybersecurity functions.
04
Location Strategy & Talent Hotspot Identification
Evaluated global talent hotspots by mapping workforce concentration, peer hiring focus, talent growth rates, and cost dynamics to identify diversified sourcing opportunities beyond saturated markets.

Outcome

Clear AI & Cybersecurity Workforce Positioning

Gained a unified view of how the organization compares to tech and telecom peers in talent size, growth trajectory, and skill mix—establishing that AI talent was at par with peers while cybersecurity required focused capability building.

Strategic Location Diversification

Identified India and Canada as high-growth, favorable markets for scaling AI and cybersecurity teams, with Portugal and Poland validated as emerging hubs for workforce diversification and early-career talent sourcing.

Future-Ready Skill Architecture

Mapped clear upskilling priorities in sunrise areas—DevSecOps, Zero Trust Architecture, Responsible AI, Conversational AI, and RAG—while reinforcing the need to maintain traditional cybersecurity foundations.

Data-Backed Hiring & Upskilling Roadmap

Delivered an integrated intelligence framework combining skill gap analysis, peer investment tracking, and location-level insights to guide targeted hiring, early-career recruitment programs, and internal reskilling initiatives.
6,100+​
Locations
4M+​
Career Paths​
1.7M+​
Peer Group Companies​
28K+
Skills
3,500+​
Roles
1B+​
Professionals​
55K+​
Universities​
1B+​
Job Descriptions​
200K+​
Courses​
180K+​
Technology Solutions​
1.6M+​
Account Priorities​
Labor Market Data Contextualized with Business Intelligence for Every Decision

Analyzing 1B+ data points
daily from 100K+ sources

6,100+​
Locations
4M+​
Career Paths​
1.7M+​
Peer Group Companies​
28K+
Skills
3,500+​
Roles
1B+​
Professionals​
55K+​
Universities​
1B+​
Job Descriptions​
200K+​
Courses​
180K+​
Technology Solutions​
1.6M+​
Account Priorities​
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ISO
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EAIGG

Ethical AI, Backed by Global Standards

Draup, an AI-first company, upholds global standards like SOC 2, GDPR, and ISO 27001. As an EAIGG member, we audit for bias and build trustworthy AI.

Data Trust &
Methodology
at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company.

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.

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