Summary
The report assesses the impact of mining automation on the shared-value paradigm, which relies on local employment and procurement to provide socioeconomic benefits to host communities. Using case studies from a high-income OECD country and a lower-middle-income country, the authors model workforce reductions of 30%, 50%, and 70%. They find that while absolute GDP impacts may be small at a national level, the loss of wages, salaries, and local procurement can significantly reduce the total value a mine contributes to its host economy. The report concludes that developing countries may be more vulnerable due to over-dependence on extractives and lower technical capacity to adapt. It suggests shifting the shared-value focus toward downstream beneficiation, horizontal industry linkages, knowledge transfer, and revised fiscal regimes, such as resource rent taxes or increased government ownership.
Key insights
- Automation in mining is expected to significantly reduce operational jobs in drilling, blasting, and driving, which typically make up over 70 per cent of mine employment.
- The report identifies ten key technologies driving automation, including autonomous haul trucks, long-distance haul trains, tele-remote ship-loaders, and programmable logic controllers (PLCs), the latter being described as the most crucial for removing semi-skilled onsite jobs.
- In a high-income OECD case study, automation-driven workforce reductions of 30% to 70% could lead to a decrease in the mine's contribution to GDP ranging from 8.5% to 19.6%.
- In a lower-middle-income country case study, the reduction in the mine's contribution to the national economy under the same scenarios ranges from 6.2% to 14.1%, with national GDP impacts ranging from just below 2% to just below 4%.
- Payroll reductions are the primary driver of GDP loss; in the high-income OECD case, they account for 86% of the impact, and in the lower-middle-income case, they account for 92%.
- Government revenue from personal income taxes is highly sensitive to automation; the high-income OECD case saw a projected revenue drop of 25% to 58%, compared to 6% to 15% in the lower-middle-income case.
- Developing countries may suffer more severe socioeconomic impacts than developed countries because they are often over-dependent on the extractives sector and lack the financial and technical capacity to adapt to technological shifts.
- To maintain shared value, the report suggests exploring alternative linkages: downstream beneficiation (refining/smelting), horizontal linkages (non-mining industries), knowledge transfer, and spatial infrastructure benefits.
- The authors recommend revising fiscal regimes to capture automation-driven profits, suggesting the use of progressive resource rent taxes or increasing government equity and ownership structures.
- There is a critical lack of standardized procurement data in the mining industry, which hinders the ability of companies and governments to manage and maximize local economic impacts.
Cite the original document
- APA
- Cosbey, A., Mann, H., Maennling, N., Toledano, P., Geipel, J., & Brauch, M. D. (2016). MINING A MIRAGE? International Institute for Sustainable Development. https://www.iisd.org/system/files/publications/mining-a-mirage.pdf
- Chicago
- Cosbey, Aaron, Howard Mann, Nicolas Maennling, Perrine Toledano, Jeff Geipel, and Martin Dietrich Brauch. MINING A MIRAGE? International Institute for Sustainable Development, 2016. https://www.iisd.org/system/files/publications/mining-a-mirage.pdf.
- Wikipedia
- {{cite report |last1=Cosbey |first1=Aaron |last2=Mann |first2=Howard |last3=Maennling |first3=Nicolas |last4=Toledano |first4=Perrine |last5=Geipel |first5=Jeff |last6=Brauch |first6=Martin Dietrich |title=MINING A MIRAGE? |publisher=International Institute for Sustainable Development |date=2016 |url=https://www.iisd.org/system/files/publications/mining-a-mirage.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{cosbey2016mining, author = {Cosbey, Aaron and Mann, Howard and Maennling, Nicolas and Toledano, Perrine and Geipel, Jeff and Brauch, Martin Dietrich}, title = {{MINING A MIRAGE?}}, institution = {International Institute for Sustainable Development}, year = {2016}, url = {https://www.iisd.org/system/files/publications/mining-a-mirage.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }
Full text
Collected · Record updated