NEWS
Six in 10 Australian workers have caught AI getting it wrong at work
Atotal of 60 % of Australian workers have personally identified an error made by an AI tool at work, according to new research from Appian.
The Australian workplace study found that while workers widely report AI mistakes, more than one in five said employees in their organisation are discouraged from challenging its recommendations or decisions. Against that backdrop, only 14 %
fully trust the AI-generated outputs used within their organisation.
Charlie Hutchinson, SVP Asia-Pacific and Japan at Appian, said organisations cannot expect workers to embrace AI if they do not trust its outputs or feel able to question them.“ It is hardly surprising that complete trust in AI is so low when workers are catching it making mistakes and are discouraged from questioning its outputs.
“ For businesses, mistrust creates a lose-lose situation. Employees may avoid AI or spend time checking everything it produces, wiping out the productivity gains it was meant to deliver. Alternatively, they may continue using an output they suspect is wrong because they do not feel able to challenge it. AI needs to operate within the same governance processes and controls as the rest of the business, with people able to step in before a significant error occurs,” he said.
AI errors are already affecting customers and business operations. One in five workers said the most significant AI error they encountered caused a customer service issue, while 13 % reported operational disruption.
Cisco introduces new Tokenomics capability to help organisations track and manage AI spend
Cisco is introducing a dedicated Tokenomics capability within Splunk Agent Observability, helping organisations track and attribute AI token expenditure in real-time as they look to optimise AI at scale.
AI Tokenomics focuses on understanding and optimising token consumption while connecting AI spend to business outcomes. The new capability brings usage, cost and productivity insights together to support more data-driven budgeting and optimisation decisions.
“ Understanding how AI resources are being used and what they are costing is becoming increasingly important as organisations scale their AI investments,” said Ahmed El Saadi, Vice President MEA & TRC at Splunk, a Cisco Company.“ Tokenomics gives teams the insights they need to better understand consumption, manage spend and connect AI investments to business outcomes.”
Key capabilities include: coding agent usage, cost, adoption and productivity at both team and user level.
• Consolidate AI consumption across tools and providers: Splunk provides one place to view the cost of employee usage of Claude Code, Codex and other AI coding tools, while consolidating consumption across providers into a single view.
• Forecast future AI spend: Using the Cisco Deep Time Series Model, the capability will forecast where spend is heading before the billing period ends, helping organisations anticipate costs and support budgeting and optimisation decisions.
• Track AI token expenditure in real-time: Organisations can track and attribute token spend while gaining insight into
These insights can also help organisations identify opportunities to route workloads to the most cost-effective model. x
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