🔥 $40B in gen AI with little to show for it
Economic hype, job market strain, and shifting research
🐾 IN TODAY'S WILD
The AI revolution presents a mixed picture of massive investment and significant new challenges.
U.S. companies have reportedly invested nearly $40 billion in generative AI with little to show for it, highlighting a disconnect between spending and results. This comes as the computer science job market faces its worst period in decades, with a 6.1% unemployment rate for graduates, due to AI automation and oversupply.
AI is also compromising research, with AI-generated responses undermining crowdsourced studies. This is pushing enterprises toward new strategies for "directed intelligence collection."
Amid these challenges, technical innovation continues. Apple trained an AI, UICoder, that taught itself to write perfect applications, and VERSES AI made a breakthrough in robotics. To meet AI's immense energy demands, Google and Kairos Power are planning an advanced nuclear plant, while China is building a massive AI megaplex in the desert.
🦾 AI daily pulse
GenAI FOMO has spurred businesses to light nearly $40 billion on fire
US companies have invested between $35 and $40 billion in Generative AI initiatives and, so far, have almost nothing to show for it. [LINK]AI-generated responses are undermining crowdsourced research studies
Many answers to online research questions show signs of being generated by AI chatbots, raising doubts about the validity of behavioural data collected this way. [LINK]Computer science graduates are struggling to find jobs as the unemployment rate hits 6.1% in 2025.
How AI, mass layoffs, and oversupply have created the worst CS job market in decades. [LINK]
⚡️ Top trends
Sea swell of AI-generated data makes directed intelligence collection the future for multinational enterprise leaders. [LINK]
AI-generated responses are undermining crowdsourced research studies
Many answers to online research questions show signs of being generated by AI chatbots, raising doubts about the validity of behavioural data collected this way [LINK]
💻 Top techies
VERSES AI Changes Robotics Forever With Active Inference Breakthrough [LINK]
Apple trained its own AI, which taught itself to write perfect applications
Apple published a study, in which he describes a unique process of how he learned large language model (LLM) to create high-quality user interfaces in SwiftUI – and that with virtually no human intervention. The result is a new model UICoder, which was able to improve itself thanks to automatic feedback and iterative training. [LINK]
🔮 What else
Energy Google, Kairos Power plan advanced nuclear plant for Tennessee Valley Authority grid by 2030 [LINK]
Why China is building an AI megaplex in the desert
