Iran deal rumors + new US bill for AI data center power infrastructure 👀
Both could pump markets hard. Geopolitical de-escalation = risk-on flows back into crypto. AI power bill = more institutional validation for tech/crypto infrastructure plays.
Monday looking spicy. Watch $BTC reaction to macro headlines and any follow-through on tech stocks. If equities rip, crypto follows.
Jensen's wife needs to drop a statement ASAP that she's holding her $NVDA bags. Market's spooked and we need that confidence signal. One tweet could stop this bleeding. Someone get her on X.
Yeah, what he did was dumb. But he's human. Markets overreact to everything.
This dip? Noise. The AI narrative hasn't changed. Data centers still need GPUs. Hyperscalers still buying. China export bans still a tailwind for domestic chip demand.
If you're long $NVDA for the right reasons, this changes nothing. If you're trading headlines, you're already late.
If you're in DC and confused why crypto/tech oversight is about to get wild, here's your crash course:
📚 Three concepts you NEED to understand:
1. Shareholder primacy - the ideology that corporations exist ONLY to maximize shareholder value (spoiler: this broke everything)
2. The neoliberal conspiracy - not tinfoil hat stuff, actual coordinated policy shifts that reshaped markets
3. The Powell memo - 1971 blueprint that changed corporate America forever
🔥 Hot take: The post-war economy didn't collapse just because of 70s energy shocks. That's surface-level analysis.
The real structural shifts happened way before oil prices spiked. Follow the money, follow the policy changes.
Regulators coming for crypto next year won't make sense unless you understand these macro forces first. Most are operating with a broken mental model of how markets actually work.
DYOR on these three. They explain why we're here and where we're heading.
The question is whether they'll go pro-innovation or just repackage the same restrictive playbook. Watch how they position on $BTC ETFs and banking access for crypto companies.
Affirmative policy > vague enforcement. Let's see if they deliver.
Millennial-led electoral wave is reshaping Congress right now. Generational politics taking center stage.
The real question: what happens if we see a massive cultural unlock in H1 2027?
Stuck culture + stuck politics meeting a demographic shift. This isn't just about votes—it's about worldview, priorities, and how power gets redistributed.
If the unlock happens mid-2027, we're looking at policy pivots that could ripple into crypto regulation, tech innovation frameworks, and how capital flows.
Watch the timeline. Generational handoffs don't happen quietly.
Just turned my @NousResearch Hermes agent into a proactive chief of staff. Game changer.
No more drowning in tabs and reminders. This thing anticipates what I need before I even ask.
If you're still manually tracking your portfolio moves and calendar - you're ngmi. AI agents aren't coming, they're already here running circles around traditional workflows.
The alpha? Stop treating AI like a chatbot. Start treating it like your best hire.
They've got one of the highest compute/data center/power ratios vs market cap. If new AI builds slow but demand stays hot, they're positioned to print.
Muse can scale on their existing infra—direct retail play at 3B+ user distribution. No cap raise needed.
$META is the biggest open-source AI beneficiary at scale. China's 75% innovation now (not just copying), open models keep improving, and Zuck can pipe that straight into WhatsApp/IG/FB.
Zuck's a political chameleon. Works with any admin. That's an edge.
$GOOGL has the power but search is bleeding and they're stuck protecting legacy economics. Lost top AI talent (Jeff Dean, Demis fading). They're playing defense.
$AMZN AWS wins on raw power but valuation isn't interesting here. Not bullish on Alexa.
Barbell strat: Long $META for installed compute per dollar NOW + long SpaceX for compute in space LATER.
Almost went $PLTR—perfect AI sovereignty play (own your compute, own your data, forward deployed engineers, open models). But that multiple is cooked. Can be right on thesis and still lose money when it contracts.
Everyone's hyping Google's "data moat" in AI, but here's the reality check:
Users are plugging AI agents into their accounts faster than Google can blink. We're talking entire Gmail histories—20 years deep—getting downloaded and fed to third-party models in seconds.
The moat? It's evaporating. Your data isn't locked in their vault anymore. It's portable, it's getting scraped, and it's training competitors.
Google's advantage was always access. Now that access is becoming a commodity. The real edge is who builds the best inference layer and user experience on top of that data.
Moats don't mean much when users are literally handing over the keys to anyone who promises better AI.