Last mentioned: Feb 27, 2026
Phased Rollout
The 2,000 job cuts are expected to be completed over a 24-month period as AI systems are integrated.
First phase of layoffs begins across Australian and international offices.
Full deployment of AI-driven coding and automation tools across the CargoWise ecosystem.
Target date for the completion of the workforce transition to a leaner, AI-focused model.
Internal Tensions
Reports emerge of tense scenes at WiseTech offices as employees are notified of immediate and future cuts.
Restructure Announced
WiseTech Global officially announces plans to cut 30% of its workforce to pivot toward AI.
Restructuring Announcement
CEO Zubin Appoo announces 2,000 job cuts during H1 earnings briefing.
Restructuring Announced
WiseTech Global officially announces 30% workforce reduction citing AI advancements.
H1 Financial Close
Six-month period ends with 76% revenue growth and 31% cash flow increase.
AI Agent Integration
WiseTech begins building AI agents into the Cargowise platform.
Logistics software giant WiseTech Global has announced a massive 30% reduction in its workforce, affecting approximately 2,000 employees. The company cited the rapid advancement of generative AI as the catalyst for ending the 'era of manual coding' and traditional software development cycles.
Australian logistics software leader WiseTech Global has announced a massive workforce reduction of approximately 30%, affecting 2,000 employees. The company is pivoting toward an AI-first development model, signaling a paradigm shift in how global supply chain software is engineered and maintained.
WiseTech Global has announced a workforce reduction of approximately 2,000 employees, representing over 25% of its global headcount, as it transitions toward AI-automated software engineering. Despite a 76% surge in first-half revenue to $672 million, the logistics software giant is aggressively restructuring to eliminate manual coding in favor of AI-driven development.
This page surfaces every story mentioning Cargowise across our supply chain coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.
Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running supply chain beat. Cross-entity comparisons live on our compare view.
| What you see | What it tells you |
|---|---|
| Story count | Number of distinct stories where Cargowise was a primary or referenced actor. |
| Recency clustering | Whether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc). |
| Sentiment distribution | Aggregate sentiment of the stories mentioning this entity, weighted by impact score. |
| Cross-niche links | When the same entity surfaces in our sibling networks, we link to those views to enrich context. |