Call Centre Roundtable May 2026

May 13, 2026|11:00 AM AEST

Australia's call centres are grappling with 45% annual staff turnover and stalled reforms to curb outsourcing, exposing millions to poor government services as AI-driven scams surge in 2026.

Key takeaways

  • Government initiatives to bring call centre operations in-house have stalled since 2025, leaving workers with low pay and minimal training, which exacerbates high attrition and degrades service quality for vulnerable populations.
  • AI adoption is accelerating as a baseline technology in 2026 to address cost pressures and inefficiencies, but it introduces risks of job losses, ethical dilemmas in automated decisions, and amplified cyber threats.
  • Regulatory focus from bodies like ASIC on operational resilience and AI harms means non-compliant centres face potential fines and reputational damage, amid deadlines for tech upgrades like the ATO's new system by 2028.

Call Centre Turmoil

Australia's call centre industry, particularly in outsourced operations handling government contracts, is under strain from persistent high turnover rates. A recent tax ombudsman report highlights extreme attrition, with 45% of staff leaving annually and average tenure at just 22 months. This churn stems from low wages—starting at around $52,800 compared to over $72,000 for equivalent public sector roles—and inadequate training, where new hires are often thrust into handling complex, sensitive calls without proper preparation. The impact ripples to consumers, especially those relying on services like Centrelink or the ATO, facing longer wait times and less skilled support.

Recent developments have heightened the urgency. Labor's 2023 push to reduce reliance on external contractors and rebuild in-house capabilities stalled by late 2025, with minimal budget allocations for cuts in outsourced work. Meanwhile, the ATO plans to tender for a new interactions centre solution in January 2026, aiming for cloud migration and AI integration by December 2028. This comes against a backdrop of economic pressures, including a 2025 DRAM memory shortage that drove up tech costs, forcing businesses to prioritize investments in premium AI tools.

The real-world stakes are substantial. For workers, chronic stress from dealing with upset callers and fast-paced targets contributes to burnout and psychosocial risks, including vicarious trauma. Businesses incur high recruitment and training costs, while poor service erodes public trust—banks, telcos, and utilities rank worst for hold times, per quarterly rankings. Consumers bear the brunt through delayed resolutions and increased vulnerability to scams, with AI-generated voice calls enabling fraud at scale. Regulatory bodies like ASIC and the ACCC are ramping up enforcement; ASIC's 2026 outlook flags operational failures in superannuation funds and AI-amplified harms, with 12 court cases underway for mis-selling via high-pressure tactics.

Non-obvious tensions abound. While AI promises efficiency—handling routine queries to free agents for empathetic interactions—it creates a divide: well-managed centres thrive with upskilled staff, but others risk widening gaps in unit economics and compliance. There's also a trade-off in proactive service models, requiring upfront data investments to prevent issues, versus reactive approaches that save short-term costs but invite long-term fines. Broader complacency among Australian firms, as noted in KPMG surveys, could see laggards lose market share to agile competitors amid skills shortages and cyber spend projected to hit $15-20 billion by 2033-34.

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