Companies in 2035
A Shift in Values in Leadership and the World of Work
The demolition industry is facing the greatest strategic and technological turning point in its history. What for decades was seen as a downstream service at the end of construction value creation is becoming the critical nerve center of a new construction and real-estate economy. In the future, dismantling will no longer determine only a project’s time and cost, but also CO₂ footprints, material availability, productivity, and the competitiveness of entire value chains.
Our current future studies show this clearly: demolition is evolving from an operational trade into a data- and technology-driven systems business. This shift will not happen gradually, but in leaps — driven by regulatory pressure, a shortage of skilled workers, and breakthroughs in artificial intelligence and robotics.
With ESG requirements, the EU taxonomy, carbon pricing, and increasing documentation obligations, the entire life cycle of buildings is moving into focus. Demolition is no longer an end point, but the moment when decisions are made on reuse, recycling rates, and embodied emissions. Studies show: the biggest CO₂ lever in the existing building stock is not energy-efficient new construction, but intelligent, material-conscious dismantling. Those who cannot provide robust data will increasingly lose access to projects, financing, and partners.
AI Makes Demolition Predictable
This is where the technological transformation begins. Artificial intelligence is fundamentally changing dismantling — not as a supporting tool, but as an operational driver. AI systems analyze existing buildings before the first excavator move: using laser scans, image data, historical construction plans, and material databases. Digital twins make it possible to simulate dismantling scenarios, assess risks, and calculate material flows in advance.
The key difference from previous software solutions: AI agents make independent decisions within defined parameters. They prioritize dismantling sequences, optimize the deployment of machines and personnel, and dynamically adjust workflows to real site conditions. Dismantling becomes more predictable, safer, and economically more stable.
At the same time, construction and demolition robotics is reaching market maturity. Autonomous or semi-autonomous dismantling equipment is taking over dangerous, repetitive, and precision-critical tasks. For the industry, this is not a gimmick, but a strategic necessity. The shortage of skilled labor will continue to intensify through 2035, while safety and quality requirements rise. Robotics does not replace people — it shifts their role: from physically executing workers to operators, planners, and quality managers.
From Demolition Contractor to Dismantling Orchestrator
These technologies are also changing business models. Competitive advantage will no longer come primarily from fleet size or hourly output, but from systems capability. Successful companies will evolve into dismantling orchestrators: connecting data, AI, robotics, and material markets into integrated processes. Value will be created through knowledge of buildings, materials, and optimal dismantling pathways.
My forecast is clear: by 2035, the market will split. On one side, traditional demolition service providers under heavy cost and margin pressure. On the other, technology-driven providers acting as strategic partners to the construction and real-estate industries. These companies will earn not only from tearing down, but from planning, data, documentation, and material management.
Demolition will become an early indicator of the future of the construction industry. Technology and AI are not add-ons — they are the foundation. Those who understand dismantling today as a data-driven process will secure relevance, growth, and resilience for the next decade.
Readers of ABBRUCH AKTUELL can download Mr. Jánszky’s book “2030” free of charge as an e-book at janszky.de/e-book/
| Photo: Anika Dollmeyer
Companies in 2035: Changing Values in Leadership and the World of Work (in German) Download