According to Kye Gomez (swarms) on X, citing The Kobeissi Letter and McKinsey, global AI-driven data center CapEx is projected to reach $5.2 trillion by 2030, including $3.3 trillion for IT equipment, $1.6 trillion for data center infrastructure, and $300 billion for power generation. As reported by The Kobeissi Letter referencing McKinsey, scenarios range from $3.7 trillion (78 GW added) to $7.9 trillion (205 GW added), with the base case assuming 125 GW of new AI data center capacity—roughly the electricity of 125 nuclear reactors. According to McKinsey as relayed by The Kobeissi Letter, demand is driven by generative AI adoption, enterprise integration, hyperscaler competition, and government investment, signaling major opportunities for GPU vendors, server OEMs, liquid cooling providers, grid-scale power developers, and colocation operators.

According to Ethan Mollick on X, responding to McKinsey Global Institute’s new Skill Change Index, AI will not render most human skills obsolete but will reshape how judgment, problem solving, negotiation, and leadership are applied alongside agents and robots. As reported by McKinsey Global Institute, the index ranks skills by five-year automation exposure and finds higher exposure for routine cognitive and data-processing tasks, while complex problem solving and people leadership face lower exposure but greater augmentation potential (source: McKinsey Global Institute, mck.co/aiskills). According to McKinsey Global Institute, this creates near-term business opportunities to redeploy AI copilots for structured analysis and documentation, while upskilling managers in AI-augmented decision workflows and negotiation support. As reported by McKinsey Global Institute, organizations can capture value by mapping roles to the index, prioritizing AI-enabled task decomposition, and investing in human-in-the-loop governance for judgment-intensive processes.

According to God of Prompt on X, Perceptis AI encodes a consulting-grade narrative framework into its product to automate building presentation decks from user-uploaded reports and research, exporting fully editable PPTX files with every claim sourced. As reported by God of Prompt, the startup—founded by alumni of McKinsey, Google, Amazon, and Apple AI—structures arguments automatically, compressing a day of structuring, formatting, and cross-referencing into under an hour. According to the X post, the core business impact is faster go-to-market storytelling and analyst workflow acceleration for strategy, investor relations, and enterprise knowledge teams seeking audit-ready, source-linked slides.