In Partnership with ROKU ADSManager

If you thought Big Tech was already overspending on AI, wait until you see this: roughly $3T is already locked into future chips, data centers, power, and leases.
What's on HUSTLERSS π₯
by SE RankingCan AI run
social better
than a human?
We ran an experiment between AI and SMMs to find out.

AI-generated social copy and strategy for "Chocgo Muji".

Human-crafted social copy and strategy for "The Rebel".
Everyone has a take on whether AI can run social media as well as a person.
Planable ran an experiment using one fictional chocolate brand. Humans out-engaged AI 2.45x on engagement rate, and every human account beat every AI account on likes and follower growth.
Get more numbers-backed answers.
π°Big Tech Holds $3 Trillion in Hidden Off-Balance-Sheet AI Liabilities

A WSJ analysis found that 9 major tech companies have roughly $3 trillion in future commitments tied largely to AI infrastructure, far above the capex investors usually see each quarter. Main points:
- The companies include Alphabet, Amazon, Meta, Microsoft, Oracle, Nvidia, Broadcom, SpaceX, and AMD.
- Around $1.2T comes from future leases for data centers and related infrastructure.
- Another $1.9T comes from purchase commitments for chips, servers, power, and technical capacity.
- Their traditional capex over the latest 12 months was about $600B, so future commitments are roughly 5x larger.
- Alphabet alone disclosed about $811B in purchase commitments and contractual obligations as of June 2026.
- Meta had roughly $347B in leases that had not yet started.
These obligations often stay in footnotes until leases begin or goods and services are delivered. The risk is that many contracts cannot be easily canceled. If AI demand grows as expected, locking in compute, power, and data-center capacity early could pay off. If demand disappoints, companies may still owe huge amounts for years.
π’Build Your Multi-Agent Workflow with Graph Engineering (From A to Z)

We're officially on D-Day for this week's 100% FREE live workshop.
If you're still using AI one prompt at a time, we'll show you how to turn one real task into a workflow where multiple AI agents split the work, work in parallel, check each other, and come together on one final decision.
We'll build a practical Graph Engineering workflow live, step by step, and show how the same pattern can be adapted to research, marketing, data analysis, reporting, project work, and more.
- π Wednesday, August 19
- β°10:00 PM ET / 7:00 PM PT
- ποΈFree to join
- π»No coding required
β‘Investor Gavin Baker says Grok Bot boosted his productivity by "100x"! It's definitely worth trying. If you're not sure how to use it, here's the complete guide. (Also, check out how SpaceXAI employees are already using it internally here.)
π¨Claude Code just got an official /design skill, like Claude Design's editable artboards. Pick a direction, tweak it, then let Claude build the UI, like this workflow.
πChatGPT for Teens is finally rolling out with extra safeguards and new learning features. For parents, they can also choose when Study Mode stays on by default.
π€Claude is gonna be a super app. It can now reply to Gmail threads and manage Google Drive files directly from chat. You still control when approval is required.
πWow, Anthropic's revenue run rate jumped from $9B to $65B in just 7 months, outpacing OpenAI's reported $40B. Could it reach $100Bβ$120B by year-end?
πOpenAI reportedly paused frontier RL training for two weeks after Astra showed signs of "Critical" cyber capability. Training is resuming only with tighter sandboxing.
π°Big AI Fundraising: Higgsfield raised $400M, up from $1.3B just 8 months ago. It now claims $700M annualized revenue, 30M users, and customers across 390 Fortune 500 companies.
πnow has a free sign up. Get $25 in credits to start building!

Sign up free and get $25 in credits to build your first AI agent grounded in your documents. Full document extraction that preserves tables, structure, and cross-references.
An agent that reasons over your corpus. Confidence scoring on every output so you know what to trust before it reaches your team.





