In the end the power consumption means the current models that are "good enough" will fit a much smaller compute budget such as edge devices. However, enthusiasts are still going to want the best hardware they can afford because inevitably, everyone will want to maximize the size and intelligence of a model they can run. So we're just going to scale. This might bring a GPT-4 level to edge devices, but we are still going to want to run what might resemble a GPT-5/6 model on the best hardware possible at the time. So don't throw away your GPU's yet. This will bring capabilities to mass market, but your high end GPU will still scale the solution n-fold and youll be able to run models with disregard to the energy savings promoted in the headline.
In other sensationalized words: "AI engineers can claim new algorithm allows them to fit GPT-5 in an RTX5090 running at 600 watts."