AIBusinessTechnology

AI Workforce Disruption Accelerates as Companies Reshape White-Collar Employment

Corporate America is rapidly implementing AI technologies that are already displacing white-collar workers. New data shows entry-level hiring in AI-exposed positions has dropped 13% since large language models became widespread, with economists predicting this represents only the beginning of a multi-decade transformation.

Corporate America’s AI Transformation Accelerates

The artificial intelligence revolution is fundamentally reshaping corporate workforces less than three years after the generative AI boom began, according to industry analysts. Executives across major industries are reportedly informing employees and shareholders that their workforce composition will dramatically change due to the accelerating technological transformation.

AIStartups

AI-Powered Advertising Platform AdsGency Secures $12M Seed Funding to Automate Multi-Channel Campaigns

San Francisco startup AdsGency has raised $12 million in seed funding to develop its AI-powered advertising automation platform. The company aims to extend Meta’s vision of fully automated advertising to multiple digital platforms including Google and TikTok.

AI Advertising Platform Attracts Major Investment

San Francisco-based startup AdsGency has reportedly secured $12 million in seed funding to advance its artificial intelligence-driven advertising platform, according to recent reports. The funding round was led by XYZ Venture Capital with participation from Streamlined Ventures, HF0, and Hat-Trick Capital.

AIScience

Chemical Language Models Operate Without True Chemistry Understanding, University Study Finds

A groundbreaking study from the University of Bonn demonstrates that chemical language models don’t actually understand chemistry principles. Instead, these AI systems rely on statistical correlations and pattern recognition to predict molecular interactions, according to researchers.

AI Models Lack Chemical Comprehension

Chemical language models (CLMs) being deployed in pharmaceutical and chemical research don’t actually understand the biochemistry behind their predictions, according to a recent study from the University of Bonn. The research, published in the journal Patterns, reveals that these specialized artificial intelligence systems operate primarily through statistical pattern recognition rather than genuine chemical knowledge.