Alonso said the shift did not mean Australian companies would spend less on AI overall, however. “If anything, they will … keep growing and … your cost line is highly likely to still go up,” he said. “But it’s now that clear need to link this to value.” The Elastic survey, conducted by Pure Profile and commissioned by Elastic, suggests local businesses are not yet measuring whether their AI spend delivers. Only 8 per cent of decision-makers track AI’s contribution to revenue or cost savings.
Yet half of them plan to increase AI spend over the next 12 months, with 32 per cent saying they will only do so with clearer proof of value. “Over the next 12 months we predict a massive shift from AI usage to strict AI accountability,” Pell said. “The era of evaluating success by how busy your usage dashboards look is officially coming to a close.” Alonso said Australia had a “window of opportunity” of about two years to attract investment in domestic data centre
capacity that would give Australian businesses local compute and more control over their token costs. The Business Briefing newsletter delivers major stories, exclusive coverage and expert opinion. Sign up to get it every weekday morning.
tokenmaxxing, hardware shortage, AI budgets, AI accountability, Australia, data centres, Elastic survey, Pure Profile
Tokenmaxxing is dead? Lol what does that even mean, like trading tokens?
So they’re basically saying companies can’t just dump money into AI anymore because the hardware won’t support it. Makes sense, but it also says costs still go up, which like… great.
I read this like “use it less and prove it works,” but then it says only 8% track revenue/cost savings. So basically everyone’s winging it? Also Australia has 2 years to build data centers… good luck with that timeline. Isn’t this gonna just move the problem to power bills?
“Busy dashboards” are coming to an end?? I swear that’s what half these companies sell. They show charts like it’s success and meanwhile nobody actually knows if customers get anything. And if hardware limits AI budgets, why do they say the cost line is still gonna grow… seems backwards to me.