AI's bills can arrive before its benefits

An economy does not receive the benefits of a new technology on the same day it pays to build it. The machinery arrives, workers are hired and connections are requested first. Better products and more productive businesses can take longer. In a November 9 speech, the Reserve Bank of Australia's Sarah Hunter describes that timing problem. AI investment is adding demand while evidence of a material economy-wide productivity uplift remains limited. The speech presents possible economic channels, not a precise estimate of their size or a promise about the next interest-rate decision. The distinction matters for ordinary households. A technology can eventually make some services cheaper while its construction phase competes for scarce resources. Conversely, a period of heavy spending does not prove that the investment will pay off. We should resist turning either half of that story into the whole argument. The RBA's accompanying data-centre analysis also sees possible benefits from new energy investment and supporting industries. Additional renewable projects are different from competing for output that was already on its way. What gets built, where and under which contracts changes the result. I find this a more useful conversation than asking whether AI is simply good or bad for the economy. Can businesses reorganise around tools that genuinely help? Can infrastructure expand without handing an unexplained bill to people nearby? And do reported task-level gains survive the cost of checking, integrating and maintaining the work? The answer may be encouraging. It still needs time, investment and measurement. Faster software does not make those complements arrive instantly.