Resilience Redefined: Only 4% of Companies Are Improving on Every Dimension

Resilience is back at peak levels, and that is exactly the problem

The headline reading from Factor's Resilience Index is reassuring, and misleading. Resilience scores across all companies studied have rebounded to post-pandemic highs, suggesting that five years of pandemics, war, supply chain breakdown and economic dislocation have left organisations stronger than before. A closer look at the findings reveals the big picture is masking deep individual vulnerabilities. The very capabilities that let organisations adapt and perform under pressure are quietly eroding underneath a rising aggregate.

The index is a proprietary global benchmark spanning more than 1,600 companies around the world. It scores each company's percentile position within its own industry peer set across financial strength, business strength (commercial, people, operational and sustainability) and technology strength. It is a global sample, not an Australian one: Factor's Australia edition retains the underlying research rather than re-collecting it locally. What follows is global evidence, with Australian consequences drawn as analysis.

The paradox resolves into three failures. Resilience is fracturing, as the divide between strong and weak organisations widens. It is becoming misaligned, as companies invest in some capabilities while neglecting others. And it is stagnating, because the definition has moved on while the playbooks have not: agentic AI, AI-workforce integration and operational optionality were barely on the radar five years ago.

The reframe that follows from this is the report's central argument. Most companies treat resilience like a mattress, using it to passively soften the landing and minimise discomfort. Resilience is closer to a trampoline, a dynamic platform that does not just absorb impact but uses it to generate upward momentum. That distinction moves resilience out of the risk function and onto the executive agenda, because a mattress is a control and a trampoline is an operating model.

The gap between strong and weak has widened by 17 percentage points

Companies that achieve long-term profitable growth consistently score higher on the Resilience Index, and the distance between them and everyone else is growing. On the index, the performance gap between high and low performers has expanded by 17 percentage points. Returns on resilience are compounding, which means the advantage is not a stable premium that laggards can close with one good year of investment.

The scarcity of the winners gives that number its weight. Less than 15% of companies consistently achieve long-term profitable growth, and the one trait setting them apart is their ability to thrive during disruption rather than merely survive it. Resilience is not a hygiene factor spread evenly across a sector; it sorts a small group of compounding performers from a large group of drifting ones.

Weaker companies are not standing still by choice. Many remain anchored in operating models designed for a calmer decade as volatility becomes structural rather than episodic. The result is a widening gap in both profitability and market share, because each shock transfers customers, talent and capital toward the organisations that can move first.

The practical reading for an executive team is uncomfortable. If your position relative to industry peers has been flat for several years, the gap has still widened, because the leaders moved. Standing still is a relative decline, and the cost is paid at the next shock rather than in the current quarter.

Only 4% of improving companies are advancing on every dimension

Among companies that improved their resilience during the recent recovery, only 4% are advancing across all dimensions. Almost every organisation getting better is getting better narrowly, hardening one capability while leaving the others where they were. That is clear evidence resilience is becoming more fragmented than in past recoveries, and fragmentation is what turns a strong index score into a brittle one.

The pattern of investment shows where the money has gone. Top performers have boosted technology resilience by 3% but cut investment in people resilience by 7% compared to pre-pandemic levels. Technology and sustainability initiatives are in motion and financial resilience has stabilised slightly below pre-pandemic levels, while the greatest vulnerabilities are emerging in people and operational resilience, which are the foundational layers of adaptability and execution.

That is the definition of misalignment: strength accumulating in the dimensions easiest to fund and measure, eroding in the dimensions that determine whether the organisation can execute under stress. Technology resilience without people resilience produces systems nobody can operate at speed. Financial resilience without operational resilience produces a strong balance sheet attached to a supply chain that cannot reroute.

Resilience built in silos is fragile. Strengthening one part of the organisation while leaving others exposed creates only the illusion of preparedness, and that illusion is expensive because it buys confidence rather than capability. What the research calls for is a coordinated, enterprise-wide system able to stretch, pivot and adapt under pressure as one unit.

Technology is being funded; the people who have to use it are not

The investment asymmetry is stark and it is documented. Organisations are allocating three times more of their gen AI budgets to technology than to people. Meanwhile 85% of CEOs plan to increase investments in gen AI in 2025 compared to 2024, and three times as many organisations expect to invest in agentic architectures in 2025 than in 2024, marking a clear shift toward advanced AI as a source of long-term competitive advantage.

Spending on tools without spending on the workforce that has to interpret, apply and scale them produces a specific failure: organisations automate the past rather than inventing the future. People resilience is eroding as a direct consequence and remains well below pre-pandemic levels, with the aftershocks of the Great Resignation still showing up in attraction and turnover.

The counter-evidence is equally specific. Companies that strengthen both talent and technology are four times more likely to achieve long-term profitable growth. Investing in both creates a layer of human judgement and insight that keeps essential functions running under pressure, and that combination does not merely protect performance, it amplifies it.

There is also a productivity mechanism underneath the finding. Companies that reframe productivity as a growth engine rather than a cost centre are growing revenue faster than spend, at 7% per employee annually against a 6% rise in employee costs. That is a small margin, but it compounds, and it is the opposite of the cost-out reflex that dominates most responses to uncertainty. Factor's research on AI autonomy and agentic operating models covers what human-AI teaming requires in practice.

Operational resilience is the blind spot, and almost nobody escapes the bottom

The most sobering figure concerns mobility rather than performance. Ninety-one percent of companies in the bottom quartile of operational resilience before the pandemic remain there today. Churn is low, but low from stagnation rather than strength: these organisations remain anchored to operating models designed for cost efficiency rather than adaptability, and five years of visible geopolitical risk, tariffs and regional fragmentation have not moved them.

People resilience shows the opposite pattern and it is just as revealing. Only 38% of companies that led in people resilience before the pandemic have maintained their position. The rest were overtaken by organisations that actively tackled employee turnover and increased employee training. High churn in one dimension and near-zero churn in the other tells you which capability organisations believe they can change and which they have quietly decided is fixed.

The structural reading matters more than either number alone. Companies that thrived in stable conditions may lack the flexibility to hold their ground in volatile ones, and this is especially evident in capital-intensive, globally complex sectors such as automotive, high tech and manufacturing, where rigid structures have become liabilities.

The tariff evidence shows why footprint size is the wrong measure. Life sciences appears insulated from tariff shocks not because of broad diversification but because it relies on a concentrated, domestically embedded supplier network; its resilience comes from strategic concentration, not dispersion. Automotive, despite a global footprint, depends on a narrow supplier base and imported components and is heavily exposed. What looks like diversification often hides a brittle, inflexible supply model, and the real variable is optionality: the real-time flexibility to shift, reroute or reconfigure. The competitive consequences of that reshuffling are traced further in Factor's work on where enterprise value is migrating.

What resilience is actually worth when the shock lands

Factor simulated how companies would fare under severe future disruption using a Monte Carlo approach, applying calibrated shocks grounded in index movements during prior crises and then amplifying them. The separation was decisive. Sixty percent of companies in the top quartile of the Resilience Index reported a positive return on profits after a severe shock, compared to just 21% in the bottom quartile.

The magnitude of the advantage is as important as its frequency. Post-shock, highly resilient companies achieved a median profit margin 6.1 percentage points higher and a median revenue growth rate 3.0 points greater than their low-resilience peers. On the forward-looking Return on Resilience measure, which compares expected revenue growth and profit margin three years out against the median company in the same industry, highly resilient companies grow revenues 6 percentage points faster and carry profit margins 8 percentage points higher.

The dimensions also interact rather than simply adding up. Companies in the top quartile of people resilience out-earn the bottom quartile by 2.5 percentage points of EBIT margin, and top-quartile operational resilience is worth 2.9 percentage points. Strength in both is worth 6.2 percentage points, 16.6% against 10.4%, which is more than the two effects taken separately. Flexible operations require frontline teams with the autonomy and judgement to navigate ambiguity, which is why the combination outperforms either investment alone.

Supply chain maturity produces the same shape of result in a narrower frame. Companies with mature resilience capabilities experienced materially less disruption, reporting smaller revenue losses of -7.4% against -10.4%, and smaller EBIT declines of -3.04% against -4.09%. These findings challenge the idea that resilience is primarily defensive. The most resilient companies are also the most likely to create upside during volatility.

What the outperformers do differently: adaptive resilience

Adaptive resilience treats volatility as fuel rather than constraint, through four shifts. The first reframes volatility as a strategic advantage: leading organisations treat uncertainty as a signal to act rather than pause. Microsoft is the worked example: it scaled cloud and collaboration platforms into pandemic demand, growing Azure revenue 59% year-over-year in the third quarter of 2020 and taking Teams from 44 million daily active users in March 2020 to 115 million within six months, then reported 15 million GitHub Copilot users in the third quarter of 2025, four times the number a year earlier.

The second shift is building flexible operating models before a crisis rather than in reaction to one. Centralised efficiency is breaking down under tariff shocks, climate events and geopolitical fractures, and what replaces it is built on redundancy, regionality and real-time responsiveness. Unilever's localised production model let it avoid major bottlenecks during the pandemic, including converting a deodorant factory to hand sanitiser in 25 days and increasing capacity 600 times; its proprietary digital platform, scaled across 75% of production capacity, improved overall equipment effectiveness by 3%, raised labour productivity by 5% and reduced costs by 8%.

The third shift is investing in people rather than platforms alone, and the fourth is building a culture that normalises disruption. Siemens institutionalises both: its enterprise risk management system embeds early-warning signals in management decision-making, teams run regular crisis simulations, and local leaders are empowered to make rapid decisions on the ground. Commercialised through Siemens Advanta, that risk expertise has helped clients achieve up to a 30% improvement in supply chain efficiency and a 40% reduction in lead times.

Running through all four is a change in how decisions get made. Scenario planning replaces linear forecasting with multi-scenario strategies that surface risks and enable confident real-time action, supported by multi-tier visibility and AI-powered decisioning. That is the difference between knowing you are exposed and being able to act on it in the week the exposure becomes real.

What this means for Australian organisations

The index sample is global, so none of these figures should be read as measurements of Australian companies. The Australian relevance comes from the shape of the exposure rather than the sample. Australian enterprises operate across a risk environment defined by geographic distance, concentrated supply chains, cyber exposure, climate events, regulatory change and dependency on regional trade, which means resilience has to be treated as a system rather than a collection of isolated controls.

Distance changes the economics of optionality. If footprint breadth matters less than the ability to shift, reroute or reconfigure quickly, an economy at the end of long shipping lanes cannot buy that flexibility once a disruption starts; it has to be pre-built into contracts, inventory positions and qualified alternate suppliers. The life sciences case is the useful lesson, because it shows a concentrated but deeply embedded supplier network can outperform a dispersed one.

The operational stagnation finding is the one Australian boards should test themselves against hardest. If 91% of pre-pandemic operational laggards are still laggards, the base rate for escaping that position through incremental improvement is close to zero, and Australia's concentration in capital-intensive resources, industrial and manufacturing activity puts a large share of the economy in exactly the category the research identifies as structurally rigid. In those sectors flexibility cannot come from the asset base, so it has to come from supply chain optionality, contract structure, capital allocation cadence and decision speed.

The people finding cuts the other way and is more encouraging. People resilience is the dimension with the highest churn, which means positions there are genuinely winnable within a few years by organisations that tackle turnover and invest in training and technology fluency. For Australian organisations competing for a small pool of senior technical and AI-literate talent, that is the dimension where a deliberate programme changes the ranking fastest. Factor's risk research covers the data and early-warning capability that turns this into a managed position rather than a reaction.

What Australian executives should do next

Measure rebound, not buffer. The separation between quartiles appears in what happens after a shock, where 60% of top-quartile companies posted profit gains against 21% of the bottom quartile. Balance-sheet strength alone does not predict that outcome, so the metric to govern is recovery trajectory under a modelled shock rather than static solvency.

Audit your resilience investment against your actual exposure. Misalignment is the dominant failure mode, with only 4% of improving companies advancing on every dimension and top performers adding 3% to technology resilience while cutting people resilience investment by 7%. Map current spend across the financial, commercial, technology, people and operational dimensions and find the one you have quietly defunded.

Fund people alongside platforms rather than after them. With gen AI budgets running three times heavier on technology than on people, and companies that strengthen both four times more likely to achieve long-term profitable growth, the correction is a budget ratio decision rather than a training initiative.

Convert footprint into optionality. Test whether your supply base can actually shift, reroute or reconfigure in real time, or whether it merely looks diversified on a map, and pair that test with scenario planning rather than a single forecast so the alternatives are pre-qualified before they are needed.

Benchmark against peers rather than against your own history. Companies that thrived in stable conditions may lack the structural flexibility to hold their ground in volatile ones. Explore Factor's research or join a Factor executive event to compare your position with Australian peers facing the same exposure.