WiseTech to Cut 2,000 Coding Roles as AI Ends Era of Manual Engineering

The announcement by WiseTech Global to eliminate approximately 2,000 engineering roles marks a definitive turning point in the relationship between artificial intelligence and the global technology workforce. While many firms have integrated AI to augment productivity, WiseTech’s decision to cut more than a quarter of its 7,000-strong headcount signals a more aggressive stance: the replacement of manual coding as a foundational business activity. Chief Executive Zubin Appoo’s assertion that the era of manual code-writing is over serves as a stark warning to the broader software engineering community, suggesting that the human-in-the-loop model is rapidly evolving toward an AI-at-the-core architecture.

This restructuring is particularly notable because it does not stem from financial distress. On the contrary, WiseTech reported a robust 76 percent surge in first-half revenue to $672 million. This decoupling of headcount from revenue growth is the holy grail of tech scalability, but it comes at a significant human cost. By leveraging AI agents within its flagship Cargowise platform—which already services 17,000 logistics providers—WiseTech is demonstrating that it can maintain, and likely accelerate, its product roadmap with a leaner, AI-augmented workforce. For HR leaders, this represents a shift from talent acquisition to architectural optimization, where the value of an employee is measured not by their output of lines of code, but by their ability to manage the AI systems that generate them.

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On the contrary, WiseTech reported a robust 76 percent surge in first-half revenue to $672 million.

The broader industry context adds another layer of complexity. Recent market volatility triggered by Algorhythm Holdings and its SemiCab platform—which claimed massive scalability without headcount reductions—has forced legacy tech giants to justify their workforce structures. WiseTech’s response is a discipline-first approach. Rather than attempting to maintain a massive legacy engineering team while adopting AI, the company is proactively resizing to match the new technological reality. This move is likely to set a precedent for other enterprise software firms, potentially triggering a wave of AI-rationalization layoffs across the sector as companies seek to protect margins and satisfy investor demands for AI-driven efficiency.