Mining’s Next Performance Advantage: Turning Executive Priorities into Results

An Emergent Africa perspective on research from Deloitte, PwC, EY, KPMG and McKinsey

A mining company can have a compelling strategy, a substantial technology budget and a well considered investment pipeline, yet still struggle to deliver predictable results.

The difficulty often lies in the decisions that connect these commitments. A production target depends on equipment availability. Equipment availability depends on maintenance planning, procurement and specialist skills. Cash generation depends on recovery, product quality, logistics and customer commitments. Expansion depends on funding, infrastructure, approvals and relationships with communities.

Each function can fulfil its own responsibilities while the overall business falls short.

Recent research from Deloitte, PwC, EY, KPMG and McKinsey provides a useful basis for examining this leadership challenge. The evidence spans mining executive surveys, interviews, financial analysis and industry research. Although the studies have different methodologies, they raise related questions about how mining companies allocate capital, adopt technology, develop people and manage uncertainty.

Emergent Africa’s interpretation is that the next meaningful performance advantage will come from strengthening the connections between these activities. Mining executives should examine how effectively their organisations turn strategic choices into coordinated decisions, sustained action and measurable value.

For South African mining leaders, that means looking beyond whether a priority has been approved. It means asking whether the business has the information, authority, capacity and working relationships needed to deliver it.

Predictable delivery deserves greater executive attention. EY’s 2026 mining and metals risk research places operational complexity first among the sector’s challenges. Its findings draw on 500 senior leaders from businesses with annual revenues of at least US$1 billion. The report also observes that transformation frequently remains fragmented, producing incremental gains. EY – South Africa

The implication for leadership is practical. A commitment to increase output should be accompanied by a clear explanation of what must change for that output to become dependable.

Consider a hypothetical operation that plans to improve plant throughput. Engineering identifies additional processing capacity, finance approves the investment, and the production team incorporates the uplift into its forecast. However, the mine plan cannot consistently supply the required feed characteristics, and maintenance lacks sufficient shutdown capacity to complete the supporting work.

Every team has a plan. The combined plan remains fragile.

An executive review should expose these dependencies before the uplift becomes an external commitment. What assumptions must hold? Which constraint limits the outcome? Who can resolve a disagreement between departments? What evidence would require management to change the forecast?

These questions make accountability more precise. They also help distinguish between a missed target caused by poor execution and one caused by an assumption that was never realistic.

Predictability does not require pretending that mining can become free of uncertainty. It requires making uncertainty visible, assigning responsibility for the factors that can be influenced, and agreeing how the business will respond when conditions change.

A useful leadership measure is therefore the quality of the organisation’s response to an emerging deviation. How quickly does it recognise the problem, agree its significance and act?

Capital discipline should extend through implementation. Deloitte’s February 2026 mining and metals finance report states that more than 70% of surveyed mining and metals finance leaders globally play a leading role in enterprise strategy. Its African discussion describes the need to “shape decisions before value is lost”. deloitte.com

For an executive team, this suggests a broader view of investment governance. Approval establishes permission to spend. Value depends on what happens afterwards.

A project can remain within its approved budget while the business case deteriorates. A commissioning delay can miss a favourable market window. A change in ore characteristics can affect expected recovery. A new operating requirement can increase the skills or maintenance burden. The accounting record may accurately track expenditure without showing that the original commercial assumptions need revision.

Emergent Africa recommends treating the investment case as a continuing management responsibility. The operational sponsor and finance leader should retain a shared view of expected benefits, delivery dependencies and the conditions that would justify intervention.

This includes clarity about when to accelerate, pause, redesign or stop. Those decisions become harder when a project’s political importance grows with the amount already spent.

Capital reviews should also recognise competition for scarce execution capacity. Two attractive projects may depend on the same engineering team, shutdown window or operational leadership attention. Approving both without resolving that conflict can weaken both returns.

A more useful investment conversation therefore considers value, timing and organisational capacity together. It asks whether the company can deliver the proposed portfolio, rather than assessing each business case in isolation.

Technology investment needs a clearly defined operational purpose. PwC’s July 2026 research with South African mining CEOs and line managers offers a concise finding: “CEO leadership is decisive.” The study reports that two thirds of mining companies covered had not implemented AI in core operations. pwc.co.za

PwC’s Mine 2026 provides a related global signal: 40% of mining CEOs in its 29th Global CEO Survey said their company’s technology performance was below expectations. PwC

These findings should encourage executives to examine what they expect a technology investment to change.

A proposal to improve maintenance through AI, for example, needs more than an explanation of predictive capability. It needs an agreed operational response. Who receives an alert? Who decides whether equipment should be stopped? Is a replacement component available? Can the maintenance plan accommodate the intervention? How will the benefit be established?

Without those answers, a technically accurate prediction may have little commercial value.

Before approving a significant initiative, leadership should be able to describe the decision it will improve, the person accountable for that decision, the workflow that will change and the measure that will demonstrate progress.

The same discipline should govern expansion beyond a pilot. A successful demonstration at one operation does not establish that another site has the same equipment, data, capabilities or operating conditions.

Executives should require explicit evidence of what can be repeated and what needs adaptation. They should also distinguish additional value from benefits already claimed by another programme.

A maintenance initiative, a procurement initiative and a production improvement programme might all attribute the same increase in equipment availability to their own work. Clear baselines and finance validation help prevent this double counting.

Trusted information makes difficult decisions easier to resolve. In its African mining finance discussion, Deloitte identifies data quality and fragmented systems as constraints on AI use. Its analysis connects future progress with stronger data governance and standardisation. deloitte.com

Emergent Africa’s view is that this issue deserves attention well before an organisation reaches advanced AI.

When executives spend a meeting reconciling different versions of supplier exposure, maintenance expenditure or project progress, they have less time to decide what to do. The immediate cost is management time. The larger risk is that decisions are delayed or made using incomplete information.

Master data provides the common reference points that help systems describe the same business consistently. These include equipment identities, material descriptions, supplier records, organisational structures and locations.

Consider a critical component recorded under different descriptions across several operations. One site may hold excess stock while another places an urgent order. A group procurement team may struggle to establish the total requirement. Maintenance analysis may fail to connect recurring faults involving equivalent components.

Resolving this requires business ownership. Someone must decide which definitions apply, who can change them and how exceptions will be handled.

A sensible starting point is to identify the information problems obstructing a small number of important decisions. If the immediate concern is equipment reliability, asset hierarchies, component records and failure classifications may deserve priority. If the concern is supplier resilience, supplier identity and group exposure may matter more.

The objective is to make consequential decisions more dependable. Progress should be visible in fewer reconciliations, clearer ownership and shorter delays between recognising an issue and taking action.

Risk reviews should examine how problems combine. KPMG’s Australian Mining Risk Forecast 2026 states: “Success is now increasingly dependent on managing multiple risks at once.” The report draws on material risks disclosed by Australian listed mining companies and supplements these with forward looking analysis. KPMG Australia

The geographic context is different, but the management question is relevant to African mining: how well does the business understand the interaction between its exposures?

An energy disruption can affect more than output. It may alter water management, maintenance schedules, contractor requirements, delivery commitments and working capital. A response that protects one area can create pressure elsewhere.

A risk register may identify each exposure correctly while leaving the combined effect insufficiently examined.

Executive teams should therefore test a small number of plausible scenarios across functions. For each scenario, they should establish the operational consequences, financial exposure, available responses and decisions that require authority beyond the site.

The value lies in the discussion before the event. Procurement may discover that an alternative supplier needs months to qualify. Finance may identify a liquidity constraint. Operations may explain that an apparently flexible production response would create an unacceptable maintenance burden.

This work should produce usable triggers. Management needs to know what change in conditions will prompt a review, who will convene it and which options are already prepared.

Scenario planning becomes more valuable when it changes the organisation’s readiness. A detailed document that leaves these responsibilities unresolved offers limited assistance when time is short.

Sustainability commitments need operational ownership. KPMG’s December 2025 sector CEO outlook identifies supply chain resilience, AI integration and environmental impacts among the issues influencing near term decisions. The study includes 110 energy, natural resources and chemicals CEOs, including nine mining CEOs, so its aggregate findings should be read as wider sector evidence. assets.kpmg.com

For mining leadership, the practical task is to connect sustainability commitments with the people who control the relevant decisions.

A water objective needs to influence operating plans and investment choices. An emissions objective needs to connect with energy procurement, equipment decisions and production assumptions. A community commitment needs a responsible owner, credible timing and an escalation route when delivery becomes uncertain.

Reporting provides visibility, but responsibility must extend into the business.

Executives should be able to follow a significant commitment from its external wording to an internal plan, funded activity, accountable owner and supporting evidence. Where that chain is incomplete, the company should understand what remains unresolved.

Trade offs also deserve open discussion. A project may improve resilience while increasing capital requirements. A change in operating practice may reduce one environmental impact while creating another. A production decision may affect the timing of a community undertaking.

Good governance allows these tensions to be examined early and recorded clearly. It helps leaders make informed choices and explain them consistently.

The same discipline can improve the usefulness of ESG information. If a measure appears only in an annual reporting process, executives should ask whether it also informs the operating decisions that determine the outcome.

External collaboration should have the same discipline as internal execution. Deloitte’s Tracking the trends 2026 argues for closer cooperation among mining companies, governments, technology organisations and communities. Ian Sanders describes transformation as depending on “creating the trust, agility, and shared vision needed to turn complexity into collective progress.” Deloitte

Emergent Africa’s interpretation is that collaboration becomes credible when shared intentions are translated into practical arrangements.

An infrastructure partnership, for example, needs agreement on responsibilities, investment sequencing, information sharing and the treatment of delays. A skills partnership needs clarity about the capabilities required, the availability of workplace experience and how success will be assessed.

These arrangements also require realistic boundaries. A mining company may influence a shared challenge without controlling its resolution. Its planning should recognise that distinction.

Executives should ask which dependencies are covered by enforceable arrangements, which rest on relationships and which remain assumptions. They should understand the implications if a partner changes priorities.

Trust grows when commitments are specific and progress is visible. It weakens when different parties leave a meeting with different interpretations of what was agreed.

This makes stakeholder engagement part of execution. Its effectiveness should be considered alongside project planning, operational readiness and financial discipline.

Leadership behaviour determines whether improvement becomes routine. McKinsey’s October 2025 mining analysis draws on the performance of more than 200 metals and mining companies between 2001 and 2023. It finds that company actions accounted for up to half of excess shareholder return growth after controlling for market pricing. The article also highlights “a culture of purpose, performance, and excellence”. mckinsey.com

McKinsey’s January 2025 operational excellence research similarly examines the role of management systems, leadership and cooperation in sustaining improvement. McKinsey

The practical leadership question is how people experience these expectations in everyday work.

If managers are praised for meeting departmental targets while moving problems elsewhere, cooperation will remain difficult. If early warnings are treated as failures, uncomfortable information will arrive late. If improvement work is repeatedly displaced by urgent demands, employees will learn that it has little protection.

Executives influence these behaviours through the questions they ask and the decisions they reward.

A production review can begin with explanations of variance, or it can examine the unresolved decisions that will affect the next period. An investment review can focus on whether expenditure remains within budget, or it can also test whether the expected value remains achievable.

Both historical accountability and forward looking judgement are necessary. The balance determines whether management meetings help the organisation learn.

A useful test is whether each review ends with a small number of clear decisions, named owners and dates for action. Repeatedly discussing the same unresolved issue should trigger examination of authority, incentives or capacity.

People capacity belongs inside the delivery plan. A strategy may depend on a relatively small number of experienced individuals who are already supporting daily operations, major projects and transformation work.

Adding responsibilities does not automatically increase the organisation’s ability to execute.

Emergent Africa recommends making this capacity visible. Which roles are critical to delivery? Where does the business rely on one individual’s knowledge? Which supervisors are expected to introduce new practices while maintaining unchanged workloads? What time has been allocated for learning and coaching?

These questions connect workforce planning with operational commitments.

Employee wellbeing also deserves a place in this conversation. Leadership can examine whether work design, recovery time, support and escalation arrangements enable people to carry out their responsibilities sustainably.

The purpose is to understand the conditions in which performance is expected. A persistent dependency on exceptional personal effort should prompt a review of staffing, priorities and processes.

Technology changes require similar attention. Employees need to understand how a new system affects their work, when professional judgement remains essential and how they can challenge an output that appears wrong.

A training completion rate cannot establish all of this. Leaders should look for evidence that people can use the new capability confidently in the situations they actually encounter.

A focused 90 day review can make these priorities concrete. Mining executives do not need to wait for a comprehensive transformation programme to examine the connections between strategy and delivery.

During the first month, the executive team can select three outcomes that matter most to the business. These should be specific enough to guide choices, such as improving plant reliability, strengthening cash conversion or reducing uncertainty around a major project.

For each outcome, management should establish the baseline, accountable executive, principal constraints and essential dependencies. Existing initiatives should be mapped against these outcomes. Work that has no clear connection deserves challenge.

The next month can focus on the decisions that repeatedly slow progress. A small group drawn from operations, finance, technology and the relevant specialist functions can trace these decisions from the initial signal to the final action.

Where does information become unreliable? Where is approval unclear? Where do competing targets create delay? Where does the organisation lack the capacity to act?

The final month should test a more disciplined review process. Each selected outcome should have a concise view of performance, emerging risks, required decisions and progress against previous commitments.

The team should also agree how benefits will be validated. Improved reporting, increased system usage and completed activities may be useful indicators, but they should be connected to the operational or financial outcome originally sought.

The objective after 90 days is evidence that the organisation is making better decisions and resolving constraints more effectively. That evidence provides a sounder basis for deciding what to expand.

Across this agenda, boards have a valuable role. They can ask whether management’s commitments reflect the company’s delivery capacity, whether significant dependencies are visible and whether performance measures encourage the right behaviour.

They can also distinguish confidence from certainty. A credible management team should be able to explain both its expected outcome and the conditions that could change it.

For Emergent Africa, the central leadership task is to build a business in which strategic priorities remain connected to daily decisions. Capital, information, technology, sustainability and people should reinforce one another through clear ownership and practical management routines.

Mining executives cannot choose the commodity cycle or remove every external constraint. They can decide how their organisations recognise changing conditions, allocate scarce resources and follow through on commitments.

The most useful question for the next executive meeting is therefore straightforward:

Which important result are we struggling to deliver because the decisions behind it are insufficiently connected?