AI data centers must produce as much power as they use, Australia PM says — new national AI framework will also ensure water efficiency and protect intellectual property rights ⁠82%

By Jowi Morales⁠76%

7/17/2026, 5:16:03 AM

BS Summary: This article contains 23 faulty reasoning types, including Post Hoc (False Cause), Ambiguity (Equivocation), and Unattributed Quote, with Appeal to Authority as the most egregious example at 22.7% saturation with 102 hits. Analysis detected 915 faulty-reasoning hits from 449 analyzed words, generating a BS Score of 73.5% and a BS Rank of ⁠82% (4,031 of 21,887 articles). This article is worse (more manipulative) than 81.60% of the article peer group.

Australian Prime Minister Anthony Albanese said that the government is working to establish the “Australian Standards for A.I.,” which would stand as a national framework that AI companies must follow if they want to operate in the country. 
As backlash against the negative effects of data centers is making it harder for AI hyperscalers to build and expand infrastructure in the U.S. and Europe, the New York Times reports that many of these firms are now eyeing the Land Down Under for its vast lands and abundant renewable energy sources. 
But even before they start setting up shop in the country, Canberra wants to get ahead and ensure that these developments do not cause any problems for the general public. 
“Every country on earth is grappling with these challenges right now. 
Australia will be the first country in the world to bring these issues into a single, national framework,” the prime minister said in his speech. 
One part of this policy will enforce a “legal obligation” for data centers to produce the same amount of power that they consume, ensuring that their presence does not put an unnecessary burden on the power grid that would result in increased utility prices for the average citizen. 
It also wants to ensure that these projects be as water efficient as possible, especially given that Australia is the driest populated continent on Earth, according to the International Groundwater Resources Assessment Center (IGRAC). 
Aside from concern for data centers’ use of natural resources, the Australian government also wants to ensure that the intellectual property rights of its people are protected.Albanese said that Australian creators, including writers, musicians, artists, and news reporters, should “retain control of the price and value of their work” when used for AI training. 
“Anything less is theft. 
No country has got this right yet,” says the prime minister. 
While some business industry groups expressed their support for the government’s goal, they were also a bit cautious, saying that overregulation could mean that Australia will miss out on the opportunities the AI data centers will bring for the company. 
University of New South Wales in Sydney professor Toby Walsh, who specializes in Artificial Intelligence, also told The Times that the PM is on the right track, as it addresses the concerns that most Australians have regarding AI and the infrastructure behind it. 
However, these are just planned policies, and the regulation behind them must still be worked out. 
“The devil will be in the details exactly what they do,” says Prof. 
Walsh. 
Article reasoning-pattern comparisonThis article: 0.0%Jowi Morales: 4.5%Tom's Hardware: 3.8%Confirmation Bias0.0%This article: 0.0%Jowi Morales: 2.5%Tom's Hardware: 2.3%Anchoring Bias0.0%This article: 11.6%Jowi Morales: 4.9%Tom's Hardware: 3.5%Availability Heuristic11.6%This article: 0.0%Jowi Morales: 1.5%Tom's Hardware: 1.1%Representativeness Heuristic0.0%This article: 0.0%Jowi Morales: 0.7%Tom's Hardware: 0.5%Hindsight Bias0.0%This article: 5.6%Jowi Morales: 3.4%Tom's Hardware: 3.5%Overconfidence Bias5.6%This article: 8.5%Jowi Morales: 12.9%Tom's Hardware: 9.2%Framing Effect8.5%This article: 10.7%Jowi Morales: 2.6%Tom's Hardware: 0.9%Loss Aversion10.7%This article: 8.9%Jowi Morales: 1.0%Tom's Hardware: 0.7%Status Quo Bias8.9%This article: 0.0%Jowi Morales: 0.1%Tom's Hardware: 0.3%Sunk Cost Effect0.0%This article: 6.7%Jowi Morales: 6.9%Tom's Hardware: 6.0%Optimism Bias6.7%This article: 2.4%Jowi Morales: 2.5%Tom's Hardware: 2.0%Pessimism Bias2.4%This article: 12.0%Jowi Morales: 13.7%Tom's Hardware: 6.5%Negativity Bias12.0%This article: 0.0%Jowi Morales: 1.3%Tom's Hardware: 1.3%Self-Serving Bias0.0%This article: 0.0%Jowi Morales: 0.8%Tom's Hardware: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Jowi Morales: 0.6%Tom's Hardware: 0.2%Actor-Observer Bias0.0%This article: 2.4%Jowi Morales: 1.4%Tom's Hardware: 0.6%In-Group Bias2.4%This article: 0.0%Jowi Morales: 0.3%Tom's Hardware: 0.3%Out-Group Homogeneity Bias0.0%This article: 9.6%Jowi Morales: 2.6%Tom's Hardware: 2.8%Halo Effect9.6%This article: 0.0%Jowi Morales: 0.0%Tom's Hardware: 0.0%Horn Effect0.0%This article: 0.0%Jowi Morales: 0.0%Tom's Hardware: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jowi Morales: 1.7%Tom's Hardware: 2.0%Recency Bias0.0%This article: 5.6%Jowi Morales: 0.8%Tom's Hardware: 0.6%Primacy Effect5.6%This article: 0.0%Jowi Morales: 0.1%Tom's Hardware: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jowi Morales: 0.3%Tom's Hardware: 0.2%Ad Hominem0.0%This article: 0.0%Jowi Morales: 0.5%Tom's Hardware: 0.2%Straw Man0.0%This article: 22.7%Jowi Morales: 6.7%Tom's Hardware: 5.4%Appeal to Authority22.7%This article: 0.9%Jowi Morales: 4.0%Tom's Hardware: 2.0%False Dilemma0.9%This article: 6.7%Jowi Morales: 1.4%Tom's Hardware: 1.0%Slippery Slope6.7%This article: 0.0%Jowi Morales: 0.2%Tom's Hardware: 0.1%Circular Reasoning0.0%This article: 4.9%Jowi Morales: 8.8%Tom's Hardware: 6.1%Hasty Generalization4.9%This article: 0.0%Jowi Morales: 0.3%Tom's Hardware: 0.3%Red Herring0.0%This article: 9.6%Jowi Morales: 1.2%Tom's Hardware: 1.1%Bandwagon9.6%This article: 0.9%Jowi Morales: 7.1%Tom's Hardware: 3.0%Appeal to Emotion0.9%This article: 0.0%Jowi Morales: 1.0%Tom's Hardware: 0.8%Begging the Question0.0%This article: 22.3%Jowi Morales: 6.3%Tom's Hardware: 3.5%Post Hoc (False Cause)22.3%This article: 0.0%Jowi Morales: 0.2%Tom's Hardware: 0.1%Tu Quoque0.0%This article: 3.6%Jowi Morales: 1.6%Tom's Hardware: 0.8%Burden of Proof3.6%This article: 7.6%Jowi Morales: 0.4%Tom's Hardware: 0.3%Appeal to Nature7.6%This article: 0.0%Jowi Morales: 0.8%Tom's Hardware: 0.6%Composition/Division0.0%This article: 0.0%Jowi Morales: 3.5%Tom's Hardware: 1.6%Anecdotal0.0%This article: 0.0%Jowi Morales: 0.0%Tom's Hardware: 0.0%No True Scotsman0.0%This article: 14.9%Jowi Morales: 3.5%Tom's Hardware: 3.4%Ambiguity (Equivocation)14.9%This article: 0.0%Jowi Morales: 0.0%Tom's Hardware: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jowi Morales: 0.1%Tom's Hardware: 0.2%Middle Ground0.0%This article: 0.0%Jowi Morales: 0.0%Tom's Hardware: 0.0%Personal Incredulity0.0%This article: 0.0%Jowi Morales: 0.5%Tom's Hardware: 0.2%Special Pleading0.0%This article: 0.0%Jowi Morales: 0.2%Tom's Hardware: 0.1%Genetic Fallacy0.0%This article: 14.3%Jowi Morales: 3.3%Tom's Hardware: 2.4%Unattributed Quote14.3%This article: 0.0%Jowi Morales: 2.5%Tom's Hardware: 0.9%Quote-first Misdirection0.0%This article: 11.6%Jowi Morales: 8.9%Tom's Hardware: 7.1%Biased Writer Voice11.6%This article: 0.0%Jowi Morales: 2.2%Tom's Hardware: 1.3%Indoctrination0.0%This article: 0.0%Jowi Morales: 0.5%Tom's Hardware: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Jowi Morales: 0.0%Tom's Hardware: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Jowi Morales: 6.8%Tom's Hardware: 3.3%Attempt to Sell a Product or S…0.0%

449 words analyzed.

Speakers

4speakers71%attributed speech128writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 29 words • 0.0% coverageAnthony Albanese • 38 words • 0.0% coverageNew York Times • 52 words • 100.0% coverageWriter's voice • 30 words • 0.0% coverageAnthony Albanese • 11 words • 100.0% coverageAnthony Albanese • 25 words • 0.0% coverageAnthony Albanese • 48 words • 0.0% coverageInternational Groundwater Resources Assessment Center (IGRAC) • 34 words • 0.0% coverageAnthony Albanese • 54 words • 0.0% coverageAnthony Albanese • 4 words • 0.0% coverageAnthony Albanese • 11 words • 0.0% coverageWriter's voice • 40 words • 100.0% coverageToby Walsh • 43 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 13 words • 100.0% coverageToby Walsh • 1 words • 0.0% coverage
Selected voice

New York Times

100%flagged-word coverage
52 attributed words16% of attributed speech77% writer coverage
0%50.0%100.0%Biased Writer Voice+100.0 ptsWriter: 0.0%New York Times: 100.0%100.0%Unattributed Quote-41.4 ptsWriter: 41.4%New York Times: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.