AI hype is running into a $7 trillion wall and the real bottleneck

<!-- SC_OFF --><div class="md"><p>Data center power demand is expected to grow +220% from 2023 levels, or +905 TWh, to a record 1,350 TWh by 2030, according to Goldman Sachs. This

<!-- SC_OFF --><div class="md"><p>AI data centers need power that never goes off. Solar and wind can't guarantee that. Nuclear, natural gas, and hydro can.</p> <p>One AI query

<!-- SC_OFF --><div class="md"><p>I've been reading alot about AI compute stuff lately and something keeps bothering me.</p> <p>The total power used for cryptocoin mining around

<!-- SC_OFF --><div class="md"><p><a

&#32; submitted by &#32; <a href="https://www.reddit.com/user/talkingatoms"> /u/talkingatoms </a> <br /> <span><a

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1t6vy7j/the_80_billion_backlog_q1_2026_showed_ai_demand/"> <img alt="The $80 Billion Backlog: Q1 2026 Showed AI

<!-- SC_OFF --><div class="md"><p>OpenAI CEO Sam Altman joined Alex Heath on the <em>Sources</em> podcast (Sept 2026) for a 1h 09m conversation unpacking why OpenAI paused a

<!-- SC_OFF --><div class="md"><p>In my opinion, the biggest bottleneck for AI and its future capabilities is not data, models, or funding it is data centers. More specifically,