AI’s Quiet Threat May Be to Government Tax Revenue
Economists warn AI’s biggest near-term danger may be fiscal: if it displaces high-earning workers, income-tax revenue could fall sharply while welfare costs rise, straining public budgets.
AGI, or artificial general intelligence, describes a hypothetical AI system with broad cognitive abilities rather than expertise limited to one task. Such a system could transfer knowledge between unfamiliar problems, learn new skills with limited instruction, reason across domains, and adapt its approach as circumstances change. Today’s language, vision, and robotics models can be highly capable, but they remain uneven and dependent on training patterns, tools, and human-defined objectives. Researchers debate how AGI should be measured, whether human-level performance is the right benchmark, and what technical safeguards would be needed before a generally capable system could be deployed responsibly.
Economists warn AI’s biggest near-term danger may be fiscal: if it displaces high-earning workers, income-tax revenue could fall sharply while welfare costs rise, straining public budgets.
Google DeepMind says its new AlphaProof Nexus framework solved nine open Erdős problems using AI-guided formal verification, though CEO Demis Hassabis cautioned the system is still far from AGI.
Researchers at NTU Singapore have developed an AI-powered biochip that detects disease-linked microRNAs in minutes. The system could enable faster, more precise diagnostics.
Novo Nordisk is teaming up with OpenAI to use AI in drug discovery and development, aiming to speed up treatments for obesity and diabetes.
Anthropic has signed an agreement with the Australian government to collaborate on AI safety and research. The deal includes funding for scientific institutions and expanded use of Claude in healthcare and education.
Nvidia CEO Jensen Huang claims AGI may already exist, reigniting debate over how artificial general intelligence is defined and measured across the industry.
A Sydney engineer used AI tools including ChatGPT and AlphaFold to help design a personalized mRNA cancer vaccine for his dog with help from university researchers. Early results show significant tumor shrinkage.
Anthropic has launched the Anthropic Institute to study the societal, economic, and governance challenges posed by advanced AI systems. The initiative will combine research from engineers, economists, and social scientists.
Researchers report that ChatGPT-5.2 Pro helped simplify and generalize a complex gluon scattering formula, with results presented at the AAAS annual meeting.
Google DeepMind has introduced AlphaGenome, a new AI model designed to analyze long DNA sequences and predict how genetic variations may influence disease development.