VUCA, BANI and NICE are three ways of interpreting this context: the first describes a volatile and uncertain world, the second a fragile and non-linear world, the third a continuous change from which new phenomena emerge. For companies, the transition from one to the other shifts the focus from the ability to predict to that of adapting.<\/p>\n\n\n\n
For many years, managers and entrepreneurs have learned to describe the competitive context through four letters: VUCA. Volatility, Uncertainty, Complexity, Ambiguity. A volatile, uncertain, complex, and ambiguous world, in which planning was difficult, but still possible.<\/p>\n\n\n\n
Then came financial crises, pandemics, disruptions in supply chains, wars, inflation, new trade policies, a shortage of skills, technological acceleration, and artificial intelligence. A sequence of shocks that changed something more profound than economic conditions: it has changed the way competitive systems work<\/strong>.<\/p>\n\n\n\n It is in this passage that the VUCA paradigm has progressively led to the discussion of BANI \u2014 Fragile, Anxious, Non-linear, Incomprehensible<\/strong> \u2014 and, in a more recent perspective, to interpret the context through concepts such as Non-linearity, Incomprehensibility, Continuous Change and Emergence<\/strong>, summarized in the NICE model adopted in this reading.<\/p>\n\n\n\n It is not simply a matter of replacing one acronym with another. It is a much more important change. It means moving from a management style that is predominantly focused on to plan and control<\/strong> to a management capable of observe, learn, adapt and act quickly<\/strong>.<\/p>\n\n\n\n The most recent data clearly demonstrate this transformation.<\/p>\n\n\n\n The Global Risks Report 2026<\/a> The World Economic Forum, based on the assessments of more than 1,300 experts from businesses, institutions, universities and civil society, identifies precisely in the\u2019uncertainty<\/strong> The distinctive feature of the global scenario. 50% of respondents expect a \u201cturbulent\u201d or \u201cstormy\u201d global context over the next two years; the percentage rises to 57% looking at the next ten years.<\/p>\n\n\n\n We are therefore not facing a normal negative phase of the economic cycle. Technology, geopolitics, climate, demographics, international trade, and social transformations are all evolving simultaneously and, above all, interacting with each other. The World Economic Forum identifies technological acceleration, geostrategic shifts, climate change, and demographic bifurcation as four major structural forces destined to alter the global system in the coming years.<\/p>\n\n\n\n The consequence for companies is drastic: it becomes increasingly difficult to isolate a single variable and predict its effects while keeping all the others constant. And this is precisely where traditional forecasting logic is no longer sufficient.<\/p>\n\n\n\n The concept of VUCA<\/strong> It originated in the military sphere at the US Army War College in the late 1980s to interpret the scenarios of the end of the Cold War, and was subsequently adopted by the business world.<\/p>\n\n\n\n Its four dimensions are known:<\/p>\n\n\n\n The VUCA paradigm had one huge merit: it definitively challenged the idea of a stable and perfectly predictable competitive environment.<\/p>\n\n\n\n However, he still implied a belief: Through better information, more structured processes, predictive capabilities, and appropriate governance, the uncertainty could be at least partially reduced.<\/strong>.<\/p>\n\n\n\n From here, a managerial approach centered on planning<\/a>, Control, forecasting, Risk Management<\/a> and decision-making structures have been defined. Tools that are still fundamental. The problem is that today, in many cases, they are no longer sufficient.<\/p>\n\n\n\n The concept MONEY<\/strong>, designed by the futurist Never Cascio<\/a> Born in 2018 and made public in 2020, it stems from the attempt to describe a world in which simple volatility no longer seems sufficient to represent what is happening.<\/p>\n\n\n\n BANI means Brittle, Anxious, Non-linear, Incomprehensible<\/strong>: fragile, anxious, non-linear, incomprehensible. The difference compared to VUCA is subtle but decisive.<\/p>\n\n\n\n A volatile system changes rapidly. A system fragile<\/strong>, On the other hand, it can seem efficient and stable until the moment it suddenly collapses.<\/p>\n\n\n\n This is the case with highly optimized supply chains, but characterized by critical dependencies on a single provider<\/a>, of concentrated digital infrastructures or of organizations in which fundamental competencies belong to very few people.<\/p>\n\n\n\n Efficiency taken to the extreme can turn into vulnerability<\/a>.<\/p>\n\n\n\n The second dimension is the\u2019Anxiety<\/strong>. The amount of information increases, but decision-making capacity does not necessarily increase. Managers and organizations operate under increasing pressure, called upon to make decisions quickly while scenarios, technologies, and priorities continue to change.<\/p>\n\n\n\n The third characteristic is perhaps the most important: Non-linearity<\/strong>. In the industrial and managerial world, we are accustomed to thinking in relatively proportional relationships: a certain action produces a certain result. In complex systems, this relationship can be broken.<\/p>\n\n\n\n A small event in a supply chain node can block production on the other side of the world. New technology can transform the competitive structure of an industry in a few years. A seemingly limited regulatory change can alter sourcing, industrial footprint, and investment strategies.<\/p>\n\n\n\n Small causes can produce large consequences, while large investments can produce surprisingly limited effects.<\/p>\n\n\n\n Finally, the world becomes Unintelligible<\/strong>. Not because the data are lacking. Often the opposite happens: there are too many of them.<\/p>\n\n\n\n We can have dashboards, sensors, ERP, MES, CRM, intelligence platforms, and AI systems, and still not fully understand what is happening. More information does not automatically mean greater understanding.<\/strong><\/p>\n\n\n\n The perception of corporate leaders shows how concrete this situation is.<\/p>\n\n\n\n La 29th PwC Global CEO Survey<\/a>, The study, conducted on 4,454 CEOs in 95 countries and territories, reveals that in 2026 only 30% of global CEOs<\/strong> He expresses confidence in revenue growth over the next twelve months, compared to 38% the previous year and 56% in 2022. Among the main concerns are macroeconomic volatility, cyber risk, inflation, technological disruption, and geopolitical issues.<\/p>\n\n\n\n In Italy<\/a> The painting presents an interesting paradox: the 62% of Italian CEOs<\/strong> it predicts growth in the global economy, but only the 35%<\/strong> shows confidence in the growth of their company's turnover.<\/p>\n\n\n\n In other words: seeing a positive direction in the market does not automatically mean knowing how to capitalize on it. And that is exactly the point.<\/p>\n\n\n\n Competitiveness no longer depends solely on the ability to correctly read the macroeconomic scenario. It depends on the speed with which the organization is able to turn what it observes into decisions and actions<\/strong>.<\/p>\n\n\n\n 50%<\/p> Experts predict a turbulent or stormy global context in the next two years (57% in ten years).<\/p> Source: World Economic Forum, Global Risks Report 2026<\/p><\/div>\n 30%<\/p> Of the CEOs are confident about revenue growth over the next twelve months, compared to 56% in 2022.<\/p> Source: PwC, Global CEO Survey 2026<\/p><\/div>\n 35%<\/p> Italian CEOs are confident about their company\u2019s turnover, while 62% expect growth in the global economy.<\/p> Source: PwC Italy<\/p><\/div>\n 10<\/p> Planned company changes in a year for the average worker, compared to 2 in 2016.<\/p> Source: Gartner<\/p><\/div>\n 7%<\/p> Of the respondents, 85% feel they are at the forefront of continuously adapting to people, while 65% consider it critical.<\/p> Source: Deloitte, Global Human Capital Trends 2026<\/p><\/div>\n 12%<\/p> Of the CEOs, AI has brought benefits both in terms of costs and revenue.<\/p> Source: PwC, Global CEO Survey 2026<\/p><\/div>\n<\/div>\n<\/div>\n\n\n\n We can further push this reading with a key that we propose, Nice<\/strong>, acronym of the words:<\/p>\n\n\n\n The first two dimensions recapitulate phenomena already highlighted by BANI. It is mainly the last two that indicate the next step.<\/p>\n\n\n\n The Continuous Change<\/strong> it means accepting that change is no longer a project with a start date and an end date.<\/p>\n\n\n\n For many years, organizations have managed change according to an episodic logic: a new technology, a new organization, a new ERP, a new operating model. A phase of transformation was passed through to reach a new situation of stability. Today, that stability lasts ever less.<\/p>\n\n\n\n According to data Gartner<\/a> recalled by Deloitte in Global Human Capital Trends 2025<\/a>, In 2022, an average worker was affected by about 10 planned corporate changes<\/strong>, Compared to the two of 2016. According to LinkedIn<\/a>, Around two out of three professionals feel overwhelmed by the speed at which work changes, and 49% fear falling behind.<\/p>\n\n\n\n The Change Management<\/a>, Therefore, it can no longer be just a discipline used during large transformation programs. It must become a permanent competence of the organization<\/strong>.<\/p>\n\n\n\n The last letter, And of Emergence<\/strong>, perhaps introducing the most profound managerial challenge.<\/p>\n\n\n\n In complex systems, some characteristics and behaviors emerge from the interaction between many entities and cannot be fully deduced by analyzing the individual parts.<\/p>\n\n\n\n It is a concept studied in the theory of Complex Adaptive Systems<\/a>: Nonlinear interactions between multiple components can generate emergent behaviors that are difficult to predict a priori.<\/p>\n\n\n\n Being transferred to the company means recognizing that strategy and execution<\/a> They can no longer be completely separate. Not everything can be decided at the summit, translated into a multi-year plan and subsequently implemented without changes.<\/p>\n\n\n\n Part of the strategy must emerging from the learning produced by execution<\/strong>.<\/p>\n\n\n\n It does not mean abandoning the strategy. It means transforming it from a static document into a dynamic one. dynamic learning system<\/strong>.<\/p>\n\n\n\nUncertainty is no longer an exception<\/h2>\n\n\n\n
VUCA: when uncertainty could still be managed<\/h2>\n\n\n\n
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From volatile to fragile: the arrival of the BANI world<\/h2>\n\n\n\n
Brittle: when efficiency becomes fragility<\/h3>\n\n\n\n
Anxious: deciding under pressure<\/h3>\n\n\n\n
Non-linear: small causes, big consequences<\/h3>\n\n\n\n
Incomprehensible: so many data, so little understanding<\/h3>\n\n\n\n
The numbers confirm the paradigm shift<\/h2>\n\n\n\n
The numbers in summary<\/h3>\n
Nice: when change becomes permanent<\/h2>\n\n\n\n
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Continuous Change: change no longer has an end date<\/h3>\n\n\n\n
Emergence: when the future cannot be fully planned at the table<\/h3>\n\n\n\n
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