Nemetschek：AEC领域的AI变革已至但尚需时日

Richard Nguyen+33 1 42 13 54 22richard.nguyen@bernsteinsg.com Derric Marcon+33 1 58 98 06 30derric.marcon@bernsteinsg.com RatingMarket-Perform Specialist Sales Price Target 104.00 EUR NEM.GR Nemetschek: AI in AEC - Disruption coming, but not yet AI-native disruption is reshaping AEC software, but near-term risks to Nemetschek remainindirect, supporting our Market-Perform stance. This note is driven by recent developmentssuch as Claude Design and Bezos-backed Prometheus, which have intensified investor concernsaround rapid incumbent displacement - risks we see as overstated near term. Our incrementalanalysis introduces an “incumbents vs AI-native / tools vs outcomes” framework and assessesthese platforms, highlighting second-order effects rather than direct competition. Disruption iscredible but gradual, reinforcing unchanged conviction and timeframe. AI-native entrants are targeting adjacent layers, not core systems.Competition isemerging upstream (design exploration) and downstream (outcomes), not within BIM (BuildingInformation Modeling). Prompt-driven environments and “engineering autopilot” models shiftexpectations on speed and interface. Valuation risk arises from spend reallocation toward AIoutputs, implying gradual value leakage rather than displacement. Value is shifting from tools to outcomes.Nemetschek remains concentrated in tool-based monetization, with AI enhancing productivity. AI-native players monetize outputs(e.g., optimized designs), capturing a greater share of budgets. Even if incumbents remainembedded, their value capture may decline. Data moats depend on feedback loops, not scale.Embedded workflow data is anadvantage, but static datasets are commoditizing. Durable differentiation requires closed-loopsystems tied to outcomes, which are not yet evidenced in Nemetschek’s products. Strategy is coherent but incremental.AI integration supports retention and pricing mix butremains assistive. With rising competition and unclear monetization, risks of commoditizationpersist. Investment Implications Market-Perform maintained.Strong system-of-record defensibility offsets credible long-term disruption, leaving risk-reward balanced. DETAILS INVESTMENT SUMMARY AI-native disruption is reshaping the AEC software landscape, but its impact on Nemetschek remains indirect in the near term,supporting our Market-Perform stance despite growing long-term strategic risk.This report matters as investor focus shifts towardAI-native entrants, where consensus risks overestimating near-term displacement of incumbent systems of record. Our incrementalanalysis introduces a structured framework (incumbents vs AI-native; tools vs outcomes) and assesses emerging platforms suchas Claude Design and Prometheus, highlighting second-order effects rather than direct competition. The conclusion is balanced:disruption is credible but gradual, reinforcing a neutral positioning with unchanged conviction and timeframe. AI-native competition is targeting adjacent layers, not core AEC systems - yet.The most important new insight is thatleading AI entrants are not directly replacing BIM or systems of record but are instead attacking upstream design exploration anddownstream outcome delivery. Platforms such as multimodal, prompt-driven design environments shift user expectations aroundinterface and speed, while “engineering autopilot” models aim to automate higher-value design tasks. This matters because itreframes the threat: valuation risk does not require displacement. Instead, it emerges as customers reallocate spend toward AI-driven outputs rather than software licenses. The implication is a gradual erosion of value capture rather than a step-function lossof relevance for incumbents. The structural shift is from tools to outcomes - and incumbents are underexposed.Our 2x2 framework highlightswhere value is migrating: away from tool-based licensing models toward outcome-based monetization. Nemetschek remainsconcentrated in the “incumbent-tools” quadrant, with AI primarily enhancing productivity rather than redefining workflows. Bycontrast, AI-native players increasingly monetize delivered outputs (e.g., optimized designs, automated compliance), potentiallycapturing a larger share of customer budgets. The key incremental point is that disruption can occur even if incumbents remainembedded - software can become a lower-value layer within a broader AI-driven workflow. This creates a medium-term strategicgap in outcome-linked services. Data moats are evolving from scale to feedback loops - but execution remains unproven.The report challenges a commonassumption that proprietary project data is inherently defensive. In the LLM era, static datasets are increasingly commoditized;what matters is “living” workflow data tied to decisions and outcomes. Nemetschek has structural advantages through itsembedded position in AEC workflows, but lacks clear evidence of closed-loop learning systems that convert this access intocomp