CRITICAL ANALYSIS

Is AI in Architecture Merely Hype?

A question we asked ourselves – and answered honestly. The truth lies somewhere in the middle.

The Hype Arguments

The Hype Arguments

AI Replaces Architects

Vendors show impressive demo videos: one sentence as input, a finished floor plan as output. What they do not show: the result cannot be checked against planning law, has no structural logic and is not buildable. AI can sketch ideas – but it cannot replace architects who bear professional responsibility.

Instant Productivity Gains

A practice buys an AI tool for tender review. Two weeks later, nobody uses it – because the outputs require manual reworking, there is no interface with the existing workflow, and nobody on the team was trained. AI is not plug-and-play. It requires implementation time, process adjustment and an internal owner.

A Universal Solution

"We now have AI" is not a strategy. Practices that introduce AI without a defined use case pay for licences that are barely used. AI solves specific problems very well – variant development, document summarisation, energy simulation – but only when the scope is clearly defined.

The Reality

The Reality

Measurable Efficiency Gains

In concrete terms: a mid-sized planning practice uses AI to automatically generate meeting minutes and assign tasks. Time saved: approximately two hours per team member per week. Another practice uses AI image generation tools to produce initial mood images for client presentations – in 20 minutes instead of three hours. These are not revolutionary changes. But they add up.

Data Quality Is Decisive

A practice tests AI-assisted quantity take-offs – and receives unusable results. The reason: the BIM model was never consistently populated with component attributes. AI can only evaluate what is there. Without clean, structured model data, every AI tool remains ineffective – regardless of how capable it is.

Cultural Change Is Required

In a practice of 12 people, three use AI tools regularly – the others wait and see. This creates parallel worlds: different working methods, inconsistent output quality, friction at handover. The greatest hurdle is not the technology – it is the question of who in the team will carry the change.

Our Assessment

Our Assessment

AI is not hype – but also not a cure-all. Those who start with realistic expectations achieve measurable results.

The technology is real and mature – what matters is the right application at the right time, not waiting for perfection.

Those who do not start today fall behind competitors who are already working faster and more efficiently.

The key lies in a clear strategy – not in blind trust in technology, but in deliberate, step-by-step learning.

AI technologies already deliver measurable results in specific use cases today. At the same time, many vendor promises are overstated. The truth lies somewhere in the middle – and the right partner helps you find it.

Frequently Asked Questions

Frequently Asked Questions

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