Systems Literacy and Business Success: The New Strategic Skill Behind Profit and Resilience

Businesses that master systems thinking can outperform in volatile, interconnected markets

The fundamental purpose of most businesses has long been to generate profit and create wealth for their stakeholders. From the mass production and vertical integration of the Ford Motor Company in the early 20th century to the focus on intellectual property, software and ecosystems by big tech firms such as Apple today, the methods used to achieve that purpose have evolved, particularly as technological innovation has progressed, financial engineering has become more sophisticated, and social relations have transformed. For more than a century, business advantage largely came from scale, efficiency, and vertical control; the idea that producing more, faster, and more cheaply in a coordinated way was the dominant approach within the corporate world to deliver a competitive edge and shareholder value. Ford had initially standardised so much that you could have your Model T car in any colour you want as long as it was black. General Electric became the masters of optimising a portfolio of operations under expert management. Many businesses still operate on this basis today.

Pursuing scale and efficiency remains fundamental for competitiveness, but these alone seem no longer sufficient for stellar success in this new era. The external environment today looks a lot different from what it was just twenty years ago, when many of today’s leaders and managers first entered the workforce after learning about how past masters of business, such as GE’s Jack Welch, achieved so much success in his era.

But today’s international business landscape is more interconnected and increasingly defined by different dynamics such as geopolitical uncertainty, climate considerations, and algorithmic decision-making. In this environment, what once worked no longer seems enough. A different way of thinking and decision-making is needed. That’s because profit and wealth are being increasingly rebuilt on a new foundation of systems literacy, where the ability to understand and influence within complex systems from finance to technology, policy, or ecology determines who captures the most value and who is ultimately left behind. Today’s most successful firms, from data-driven platforms to green-energy pioneers who use resilient and adaptive strategies, illustrate just how much the international business environment has changed.

Systems literacy is a way of understanding the world as an interconnected whole, a “system of systems” in which well-placed small interventions can cascade into large-scale or even global impact. Examples include how Tesla has transformed car production into an integrated energy system that is reshaping global charging standards and industry structures, where its charging connector has become the de facto North American standard. Denmark’s Ørsted has evolved from a fossil-fuel utility into a global orchestrator of offshore wind ecosystems that now shape energy markets and supply chains worldwide.

The Hidden Systems Beneath Modern Wealth

Today’s Financial and Data Infrastructures

Across the world, capital and data now increasingly flow through algorithmic systems that shape markets in real time, defining the very parameters of commerce. Asset managers in North America are deploying AI in their investment processes, with those making the biggest impact aligning AI to strategy. In Europe, the European Central Bank’s Digital Euro and the EU Taxonomy for Sustainable Activities are embedding political goals and objectives into financial architecture. Meanwhile, in Asia, Alipay and WeChat Pay are merging payments, logistics, and social data, which are transforming urban finance and everyday life, and complementing state investment in digital infrastructure, which is aimed at narrowing the urban–rural divide.

The Structural Power Shift

The new trade routes have moved. Today they are digital platforms hidden in cyberspace where big tech firms such as Amazon and Alibaba excel at orchestrating the real-world logistics and market access. Algorithms now increasingly shape what consumers and firms around the world perceive as what the market actually is.

For most of the modern era, power tended to live inside key institutions such as governments or corporations. However, more recently it increasingly lives within the systems and control architectures that can even define what counts as a market in the first place.

But political leaders have found a way to re-exert control by regulating what is deemed acceptable behaviour in their jurisdictions. This development is a signal that platform governance and environmental considerations have become a central field of political economy. Policy is now embedded in data and technical standards. For example, the European Union’s 2018 GDPR data protection law and its 2022 Digital Markets Act attempt to rebalance this structural power by regulating the gatekeeping power of the largest digital companies. The 2022 U.S. CHIPS and Science Act has reconfigured semiconductor supply chains around national security objectives. Meanwhile, Japan and South Korea are using industrial strategy to secure energy and materials, with Japan’s GX Strategy and South Korea’s Framework Act on Supply Chain Stabilisation Support for Economic Security being good examples.

The EU is an interesting case as it increasingly exerts global regulatory influence in ways that have become known in political science circles as “the Brussels Effect”, a term coined by Columbia Law professor Anu Bradford. This phenomenon sees the EU’s large single market use its market power to regulate industries ranging from big pharma to big tech, to the extent that European internal rules effectively become global norms. The 2023 Carbon Border Adjustment Mechanism (CBAM) is a good example of the EU exporting European norms globally by compelling compliance with its regulations. Today, it has become more efficient for multinationals to scale a global product that also meets these European standards rather than having to build separate products for different markets. So the standards set in Europe are exported globally.

While the Brussels Effect is primarily regulatory and market-access driven, there are other power dynamics at play in the international economic system. China, a global economic powerhouse in its own right, has its own domestic strategy that blends industrial policy with digital surveillance infrastructure and is now actively exporting that model through initiatives like China Standards 2035, which aims to move from being a consumer of international standards to a producer and exporter. An emerging “Beijing Effect” that could lock countries into Chinese technologies and standards is a different approach that has had some success in parts of the world despite Western resistance.

Accelerated Change

Once these emerging systems start reinforcing themselves, change should be expected to accelerate and become less linear. Each new layer of data, infrastructure, or policy will amplify the next. Generative AI models, whether built by OpenAI in the US or DeepSeek in China, are now scaling at a pace that would have been unthinkable just a decade ago. Their growth is driven by a very simple loop where more data enables more computation, and more computation in turn produces more data. Stanford’s recent analysis shows how quickly the centre of gravity has shifted, where nearly 90% of notable AI models in 2024 originated from industry, up from 60% in 2023. In other words, the frontier is increasingly corporate.

All of this compute means that more energy should be expected to be consumed in the coming years, at a time when concerns continue to grow among policymakers about the impact of climate change on their societies. Thus, political power is also increasingly asserting itself in this domain. Initiatives such as the EU’s 2020 European Green Deal and the 2023 Fit for 55 packages, the 2022 U.S. Inflation Reduction Act, and China’s growing dominance in renewable technologies are accelerating the energy transition through a positive feedback loop between policy, capital, and innovation.

Five Ways Forward

So what can businesses do today to become more systems fluent in an international environment that is becoming less linear and more complex?

Here are five suggestions to make that leap based on current thinking:

1. Map the Systems That We Operate In.
   First of all, systems mapping can be a useful way to visualise interdependencies and move away from linear thinking. It’s like moving from playing checkers to playing chess. Network theory is also useful in revealing leverage points and risks. A small shift in one area can produce big changes everywhere.

2. Integrate Regulation Into Strategy.
   Situational awareness is important, so decision-makers need to watch out for the regulatory signals. New regulations signal where structural change is moving towards. In Europe, firms such as Siemens have aligned with EU sustainability frameworks, turning compliance into an advantage. These types of signals can be picked up earlier in the legislative cycle, before new regulations even become law. This early knowledge provides a significant advantage.

3. Invest in Interoperability.
   Innovation is forever important, but so too is interoperability. That means building platforms that plug into emerging standards. The 2024 EU Interoperable Europe Act shows how shared standards can drive resilience and growth.

4. Prioritise Trust and Legitimacy.
   In today’s economy, ethics has moved from the margins of corporate life to the core of business strategy. Transparency and ethics are now often preconditions for market access. Ørsted’s renewable transition is in many ways an instructive example of this.

5. Cultivate Systemic Thinkers and Translators.
   Adapting also means having the right people, in the right place, at the right time, who are also thinking in the most useful ways. Build an eclectic team that spans disciplines and mental models, combining economics, technology, strategy, and policy insight. This will enable better anticipation of future trends and the articulation of them from different perspectives.

Closing Thoughts

Peter Senge once described organisations as “learning systems.” The systems thinker, Donella Meadows, taught that leverage lies in feedback and structure. Today, those ideas increasingly define competitiveness.

Systems literacy can help leaders to anticipate nonlinear shifts and build resilience. Scale and efficiency still matter in business. They are necessary but no longer sufficient. Understanding how systems interact in the interconnected global economy and then positioning strategy accordingly is an approach that should also be incorporated.