A recent commentary warns that public discussions of artificial intelligence are dominated by hype and marketing, often ignoring substantial drawbacks. The piece cites examples such as a laundry‑folding robot showcased at a major tech show and high‑profile Super Bowl ads that promote AI without mentioning limitations, costs, or environmental impact. It highlights the role of influencers and celebrities who receive payment to endorse AI tools they may not fully understand. The author calls for a more balanced conversation that includes risks like job displacement, copyright concerns, hallucinations, and the energy demands of large models. Read more →

Tech giants including OpenAI, Microsoft, Nvidia, Oracle, and Meta are pouring billions of dollars into new AI‑focused data centers. Partnerships such as the Stargate project promise up to $500 billion in future spending, while Microsoft alone targets $80 billion for AI‑enabled facilities. The rapid build‑out is driving unprecedented demand for power, water, and infrastructure, raising alarms about energy consumption, water use, and rising traffic incidents near construction sites. Executives like AMD’s Lisa Su dismiss worries, arguing demand far outweighs any potential oversupply. Read more →

The rapid expansion of AI‑focused data centers is straining local power grids, water supplies, and air quality. High‑density GPU farms consume far more electricity than traditional facilities, prompting utilities to rewire substations and sometimes rely on diesel generators when grid capacity is insufficient. While companies like Google are sourcing a majority of electricity from renewables and experimenting with on‑site wind and solar, many deployments still depend on fossil‑fuel backup. Experts argue that stronger regulations, smarter grid planning, and efficient cooling technologies are essential to balance AI growth with environmental responsibility. Read more →

A recent analysis shows that artificial intelligence consumes a modest portion of worldwide electricity, water and CO₂ emissions compared with other technologies. While AI prompts represent a tiny fraction of individual energy use, the rapid growth of data‑center demand means AI will claim a larger slice of the overall mix, especially as it drives new infrastructure. The article compares AI’s resource use to Wi‑Fi, streaming video, enterprise cloud services and emerging electric‑vehicle charging, highlighting both the relative insignificance and the potential for concentrated local impacts. Read more →

Google has released official figures for the median energy consumption of a Gemini text prompt, estimating it at 0.24 Wh per prompt. The report compares this figure to common household activities, showing that a single AI prompt uses far less power than streaming video, charging a smartphone, or running a TV. While the per‑prompt impact is small—accounting for a fraction of a user's daily electricity use—the article notes that billions of prompts could add up at scale. Water usage and carbon emissions are also quantified, highlighting the broader environmental considerations of AI workloads. Read more →

Too Good To Go is an app that uses artificial intelligence to reduce food waste by connecting people with local restaurants, cafes, and grocery stores selling surplus food at discounted prices. The app helps businesses reduce waste while providing affordable meals, promoting sustainability and reducing environmental impact. Read more →