Managing Director Dismissed AI Industry Disruption
Condra executive stated that physical industrial lifting tasks remain beyond the meaningful reach of artificial intelligence.
Updated on Oct. 14, 2026 in Manufacturing
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Condra managing director Marc Kleiner has argued that artificial intelligence will not significantly disrupt the lifting equipment industry. While AI is used in CAD design and sensor technology, Kleiner noted that customers often reject AI add-ons due to high costs.
Why it matters
Physical tasks like lifting heavy objects continue to require traditional machinery regardless of AI integration. Furthermore, companies prioritize initial capital investment in high-quality cranes over expensive, non-essential AI features.
A 2025 cyberattack on Jaguar Land Rover resulted in an estimated $2 billion loss and a five-week production halt. This incident disrupted 5,000 supplier businesses across the global supply chain.
The players
Marc Kleiner
He serves as the managing director of Condra and has publicly outlined the firm's perspective on AI adoption.
Condra
The company is a manufacturer of lifting equipment that currently utilizes AI-driven CAD programs and motion sensors.
Jaguar Land Rover
This automotive manufacturer experienced a major cyberattack in 2025 that significantly impacted its global production output.
The details
Engineers review AI-generated results from CAD programs before manufacturing, while technicians must manually install parts predicted to fail by monitoring pods. Experts suggest that while AI will alter manufacturing methodology, it also introduces significant hacking risks.
Timeline
A 2025 cyberattack caused a five-week production halt at Jaguar Land Rover.
Market Landscape
The 2025 Jaguar Land Rover cyberattack production disruption highlights the fragility of integrated industrial systems. This event underscores that as manufacturers accelerate AI adoption, they simultaneously heighten the risk of systemic failure from malicious external actors.
Industrial clients should expect that lifting equipment will continue to prioritize mechanical reliability over complex software add-ons. Shoppers and business operators may face lower immediate costs by opting out of unproven or non-essential AI monitoring features.
The takeaway
Reliability and cost-effectiveness remain the primary drivers for industrial procurement over the allure of AI automation. Businesses should focus on securing existing infrastructure against cyber threats before investing in additional automated sensor technology.
Further reading
Learn more about industrial shifts in Manufacturing.
Source note: This article includes information reported by African Review of Business and Technology.
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