Nextra Insights

Articles that provide orientation - in the field of tension between sustainability and AI

With Nextra Insights, we shed light on current topics, classify complex relationships and provide food for thought for sustainable action – from deep dives to articles about AI applications in the sustainability context. For anyone who wants to keep an eye on future topics at the interface of sustainability and AI.

For SMEs, practical AI skills that enable targeted use of AI in day-to-day operations are particularly relevant. The focus is on understanding, classification, and application, not in-depth technical expertise. A fundamental understanding of AI and its potential applications is central. ...

Linear business models follow the “take-make-waste” principle, while circular business models aim to keep materials and products in the usage cycle for as long as possible. The central difference lies in whether value creation is based on one-time resource consumption ...

Primarily large companies that fall under the CSRD are required to conduct sustainability reporting. For small and medium-sized enterprises, there is currently no direct reporting obligation under the Omnibus I package – yet, reporting is becoming increasingly important for them ...

An AI strategy consists of clear goals, prioritized application areas, robust governance, and an implementation roadmap. It defines how artificial intelligence will be used in the company, what value it should deliver, and how risks will be managed. Without these ...

Transition plans are crucial for translating climate targets into concrete, actionable steps. They make climate protection manageable, credible, and compatible with regulation, financing, and operational decisions for companies. Based on the Corporate Carbon Footprint, the transition plan describes how a ...

There are no standard minimum prerequisites for AI deployment in companies – and that’s precisely the good news. Fundamentally, any company can start with AI, regardless of size, industry, or current level of digitalization. Neither a highly developed IT landscape ...

AI has the potential to fundamentally change work methods and roles by automating recurring tasks, supporting decisions, and redistributing responsibilities. Employees are relieved of burdens, while at the same time requirements for skills, collaboration, and leadership are shifting. In many ...

A sustainability strategy comprises prioritized areas of action, clear objectives, and concrete measures that enable companies to systematically manage environmental, social, and governance issues. It connects sustainability with the business model and makes impact measurable and manageable. At its core, ...

For small and medium-sized enterprises (SMEs), getting started with Artificial Intelligence is primarily a matter of setting the right priorities. Instead of comprehensive AI programs or complex platforms, a clear, pragmatic starting point based on specific business problems is needed. ...

Whether and what consequences arise when companies do not report sustainability information depends on whether a legal reporting obligation exists or not. For companies subject to CSRD, missing or inadequate sustainability reporting has clear legal and economic consequences. Companies that ...