Notion Appointed New General Manager for Australia
Tom Karemacher has been named to lead Notion’s operations across Australia and New Zealand.
Updated on Sept. 22, 2026 in Artificial Intelligence
Live Poll
Do you trust the artificial intelligence tools currently being used in your workplace?
Notion has appointed Tom Karemacher as its new General Manager for Australia and New Zealand. The move comes as Australian businesses lead the Asia Pacific region in tracking measurable artificial intelligence business impacts.
Why it matters
The appointment aims to bridge a significant confidence gap between leadership and knowledge workers regarding artificial intelligence deployment. Many companies currently face stalled AI adoption due to widespread distrust in the accuracy of AI-generated outputs.
Notion tracks AI maturity using a four-level transformation model, with 15.2% of Australian organizations currently reaching Level 3 or 4. Additionally, 66% of Notion's global annual recurring revenue is now tied to AI-attached products.
The players
Tom Karemacher
He is the newly appointed General Manager for Notion in Australia and New Zealand.
Notion
It is a global software company that provides productivity and AI-integrated collaboration tools.
The details
While 61% of Australian executives report confidence in AI capabilities, only 26% of knowledge workers share that sentiment, creating a 35-point confidence gap. Furthermore, 52% of organizations across the Asia Pacific region are currently investing in AI faster than their employees are able to adopt the technology.
Timeline
Between August 2025 and August 2026, Notion doubled its headcount in Australia and New Zealand.
The Notion Global AI Transformation Study was released in 2026.
The Tech Race
The transition to AI-integrated workflows marks a departure from legacy software suites that lacked built-in decision-making oversight. Companies like Notion are competing to define the standard for AI maturity models as businesses shift from rapid investment to performance tracking.
Users in the region may see shifts in how Notion’s tools prioritize transparency and policy-based AI usage to combat employee distrust. For employees, this could mean more structured training as companies attempt to close the 35-point confidence gap between staff and leadership.
The takeaway
Closing the confidence gap requires prioritizing output accuracy and established usage policies rather than just increasing investment speed. Organizations that address these trust issues are more likely to successfully move beyond early-stage AI experimentation.
Further reading
For more context on how businesses are evolving their software stacks, see our Artificial Intelligence section.
Live Poll
Do you trust the artificial intelligence tools currently being used in your workplace?
