Swipejobs is pushing ahead with plans to list on the ASX, using its artificial intelligence hiring platform to scale beyond its $1.3 billion in 2025 revenue and 800‑plus staff but this next step raises fresh questions about how AI‑driven matching will affect jobseekers’ access and fairness in the labour market.
Right now the company operates mainly in the United States and United Kingdom, quietly building a decade‑long track record in digital recruitment while staying under the radar in its home country. It started in 2014 as a self‑funded venture focused on temporary and contract work, slowly refining its technology before moving into permanent roles and preparing for a 2026 expansion into Australia. The business has grown out of years of earlier ventures in HR tech, giving it both capital and experience to take a long‑term view rather than chasing quick revenue wins.
Behind the scenes, Swipejobs has shifted from analysing around 1 million data events a day in 2015 to more than 100 million daily now, using that stream to update job matches in real time based on a worker’s skills, preferences, pay expectations and flexibility needs. Jobseekers upload a CV or connect a professional profile for free, while employers pay for access and the platform earns a fee when a match happens, a model that helped it reach a revenue run rate of about $20 million by late 2020 before scaling to $US489 million in 2024 and then $1.3 billion in 2025, all while remaining profitable for six straight years. Investors have put in roughly $80 million since 2020 and now see the business valued many times higher but ownership is still concentrated with the founder group holding close to 70% ahead of the planned float.
In the wider market, Swipejobs looks like it is positioning itself as a worker‑first alternative to traditional applicant tracking and screening tools at a time when some AI hiring systems face scrutiny and legal action over alleged bias, especially against older candidates. Its focus on continuous feedback from jobseekers to “train” the matching engine rather than simply filtering candidates out seems to be designed to address those concerns while turning data into the company’s main long‑term asset. If the ASX listing goes ahead and the 2026 revenue run rate of around $1.8 billion holds up, the company could become one of the exchange’s standout tech stories but the real test will be whether its approach to AI can scale globally without repeating the exclusionary patterns that have dogged earlier generations of recruitment software.
