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Incorporating AI into workforce planning: optimising expertise for the SA workforce of the long run

by Index Investing News
September 1, 2025
in Opinion
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Incorporating AI into workforce planning: optimising expertise for the SA workforce of the long run

The mixing of synthetic intelligence (AI) into workforce planning is revolutionising how organisations put together for the calls for of the long run.

In South Africa, the place unemployment stands at 33% (Stats SA, 2024) and expertise mismatches persist, AI presents a transformative alternative to align workforce capabilities with financial wants.

By leveraging AI for expertise acquisition, course of optimisation, upskilling, and structural alignment, South African organisations can tackle unemployment, inequality, and inefficiencies throughout the worth chain.

This text, grounded in peer-reviewed educational research, explores how AI may be embedded into workforce planning, with sensible examples tailor-made to the South African context.

Half 1 focuses on expertise acquisition and course of optimisation, whereas Half 2, to be printed subsequent week, will discover upskilling, workforce constructions, and human useful resource challenges.

 The South African Workforce Context

South Africa’s workforce faces vital challenges, together with excessive unemployment, a youth unemployment charge exceeding 60%, and chronic expertise shortages (Stats SA, 2024; Bhorat et al., 2020).

The worldwide financial system is shifting in the direction of digitalisation, with industries akin to mining, retail, and monetary providers more and more adopting AI-driven applied sciences (Schwab, 2019).

But, solely 22% of employees possess intermediate or superior digital expertise, exacerbating the abilities hole (OECD, 2020). Historic inequalities additional complicate workforce planning, with Black ladies dealing with unemployment charges of 40% (Stats SA, 2024). AI can bridge these gaps by enabling data-driven methods to determine, develop, and deploy expertise, fostering inclusive progress.

AI in Workforce Planning: Key Purposes

Expertise Acquisition and Abilities Matching

AI-powered recruitment platforms streamline expertise acquisition by matching candidates’ expertise to job necessities with excessive accuracy. Analysis signifies that AI can cut back hiring biases by as much as 30% when algorithms are designed to prioritise expertise over demographic elements (Dastin, 2018). In South Africa, the place affirmative motion and employment fairness are crucial, AI can guarantee fairer hiring by anonymising candidate information and specializing in competencies.

Commonplace Financial institution, considered one of South Africa’s largest monetary establishments, applied an AI-driven recruitment platform in 2022 to handle expertise shortages in information analytics and cybersecurity.

Utilizing a device just like IBM Watson Recruitment, the financial institution analysed candidates’ {qualifications}, certifications, and casual expertise gained by means of on-line programs or freelance work.

This strategy enabled Commonplace Financial institution to determine expertise from underrepresented teams, akin to Black graduates from rural universities, lowering hiring time by 25% and enhancing range metrics (Commonplace Financial institution, 2023).

The platform additionally built-in with South Africa’s Employment Fairness Act necessities, guaranteeing compliance with affirmative motion objectives.

South African organisations ought to undertake AI-driven recruitment platforms tailor-made to native contexts. These platforms have to be skilled on various datasets, together with casual {qualifications} and non-traditional profession paths, to faucet into underrepresented expertise swimming pools like rural youth or casual sector employees. Partnerships with platforms like Pnet or Profession Junction can improve native relevance.

Course of Optimisation Throughout the Worth Chain

AI enhances effectivity throughout the organisational worth chain by automating repetitive duties, enhancing decision-making, and lowering prices.

In South Africa’s mining sector, AI-driven predictive upkeep reduces gear downtime by 15–20% (McKinsey, 2021).

In retail, AI optimises provide chain administration by forecasting demand and minimising waste (Chui et al., 2018).

Anglo American, a number one South African mining firm, deployed AI-powered predictive upkeep methods at its Kumba Iron Ore operations.

By analysing sensor information from mining gear, the AI system predicted upkeep wants, lowering unplanned downtime by 18% and saving tens of millions in operational prices (Anglo American, 2022).

On the macro degree, this aligned with South Africa’s Nationwide Growth Plan 2030 by enhancing productiveness in a key financial sector. On the micro degree, the system optimised workforce allocation, permitting technicians to deal with high-value duties relatively than routine checks.

Within the retail sector, Shoprite, South Africa’s largest grocery store chain, applied an AI-driven provide chain administration system in 2023. Utilizing a platform just like SAP Built-in Enterprise Planning, Shoprite forecasted demand for perishable items throughout its 2,900 shops, lowering meals waste by 12% and enhancing inventory availability (Shoprite Holdings, 2023).

This optimisation required upskilling staff to interpret AI-generated insights, highlighting the necessity for built-in workforce coaching.

South African organisations ought to deploy sector-specific AI instruments for course of optimisation, akin to predictive upkeep in mining or demand forecasting in retail.

Collaboration with authorities and SETAs can align these instruments with nationwide expertise growth initiatives, guaranteeing macro-level coherence.

Coaching programmes ought to accompany AI adoption to equip employees with information interpretation expertise.

Wanting Forward

Half 1 has outlined how AI can revolutionise expertise acquisition and course of optimisation in South Africa’s workforce planning.

Subsequent week, Half 2 will discover how AI helps upskilling, optimises workforce constructions, and addresses human useful resource challenges akin to inequality, workforce anxiousness, and information privateness. By integrating these methods, South Africa can construct a workforce prepared for the long run.

Dr Chris Blair, Group Director at twenty first Century. 

Dr Chris Blair, Group Director at twenty first Century.

BUSINESS REPORT

Go to: www.businessreport.co.za



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