@tslaming I'm sure that the change in the approach is due to "fundamental" analysis and not that they advice based on who is doing business with them...๐คฃ
This is Peter Lynchโs favorite metric and I like it too because it ties valuation to growth. I prefer using a 2026 to 2028 window so the multiple adjusts for how fast the business is actually compounding.
For example $AMD may trade at ~54x forward earnings but earnings are expected to grow from $5.43 in 2026 to $16.24 in 2028 implying a ~73% earnings CAGR and a PEG of ~0.7x.
If SpaceX acquires Tesla through a stock-for-stock deal, S&P could remove Tesla from the index and add the new combined entity when the deal closes. Index funds would then mechanically buy the newly issued shares to maintain the correct weighting
CEO Jensen Huang took the stage at GTC Taipei and redefined the future of AI.
He unveiled AI infrastructure running the world's AI factories, autonomous agents that actually do things, physical AI and robotics stepping into the real world, and a brand-new generation of personal computing built for AI from the ground up.
If you're curious where AI is actually headed, this keynote is your answer.
๐ฐ Get the recap: https://t.co/VbaqY3PSyZ
โถ๏ธ Watch the full keynote: https://t.co/ARN70bWxQE
#NVIDIAGTC
Yesterday, $DELL spiked 45% after its Q1 earnings.
Options exploded 20000%-30000% in 1 day (rare).
Next week, there's 4 earnings with exact same set-up:
1. $CRWD ๐ Earnings: June 3 (After Close)
As enterprises deploy thousands of AI agents, cloud workloads, and connected endpoints, the security perimeter expands infinitely, making Falcon's AI-driven threat detection not optional but mandatory.
No one builds a $500B AI datacenter and skimps on security. $CRWD is the toll booth on the AI buildout highway and that moat compounds with every new customer and dataset feeding its threat intelligence engine.
Target: $800 median | $700 Wedbush & Benchmark | $750 Oppenheimer
2. $AVGO ๐ Earnings: June 2 (After Close)
Custom AI chip (XPU) demand from hyperscalers accelerating every quarter. $AVGO is the silent infrastructure backbone of the AI supercycle.
While $NVDA dominates training, Broadcom owns the custom silicon layer designing the XPUs that $GOOG, $META, and Tiktok use to run inference at hyperscale, plus the networking chips that stitch datacenters together.
As hyperscalers race to reduce $NVDA dependency and build proprietary AI chips, Broadcom is the only company with the design expertise and manufacturing relationships to deliver.
Target: $500 avg | $480 Susquehanna | $560 high
3. $PANW ๐ Earnings: June 2 (After Close)
Platformization strategy converting AI security budgets into sticky, recurring revenue.
AI doesn't just create new threats it supercharges existing ones, making next-gen cybersecurity a non-negotiable line item for every enterprise on the planet.
PANW's platformization strategy is purpose-built for this world: one unified platform replacing dozens of point solutions, with AI models running across network, cloud, and endpoint security simultaneously.
Target: $320 avg | $340 high | $300 median (75 analysts)
4. $GTLB ๐ Earnings: June 2 (After Close)
AI-native DevSecOps platform controls full dev lifecycle as code volumes explode.
AI is going to produce more code in the next five years than humans wrote in the last fifty and all of it needs to be managed, secured, and deployed somewhere.
While competitors like GitHub Copilot focus on code generation, GitLab controls the entire pipeline and that becomes more valuable, not less, as AI-generated code volumes explode.
Target: $40 median | $60 high (Macquarie) | $27 low (Cantor)
$ORCL earnings is on June 10 and $MU is on June 24. These will explode like $DELL did most likely.
โป๏ธ RESHARE this post and write 1 comment, I'll DM the best $MU contract to get for earnings right now.
$IONQ - If you're wondering why the chart keeps showing massive accumulation, look at the institutional ownership.
Institutions have more than doubled their holdings over the past year.
๐จFor everyone in FULL panic-mode cuz of the $NVDA move 10 minutes before market close today, 50 million shares were sold AT ONCE to facilitate the largest EVER MSCI rebalance.
Deep breaths
SpaceX millionaires 4,000 x $1mil , 400 x $100 mil
Every employee who joined before the first succesful launch made (unless they sold early) more than $100 million.
SpaceX lists June 12 at ~$1.75T.
Work backward from the cap table. At $1.75T, clearing $100M takes ~0.0057% of the company.
- 2002โ2008, first ~500 in: joined at a ~$50M company. Held to $1.75T = a 17,000x. The core of the club โ maybe 150โ250 left holding
- September 2008, SpaceX has first successful launch
- 2010โ2016: joined at $1Bโ$10B. Needs a senior grant โ directors, principal engineers, early Starlink. ~100โ200
- C-suite + board: Shotwell, Johnsen past $1B. A layer of SVPs below them clears $100M on equity, not salary. ~20โ40
- Post-2016: joined at $20Bโ$350B. To hit $100M you'd have needed ~0.4% of the company. Impossible for an employee. This is the millionaire tier โ almost none reach $100M
The tally:
~400โ500 at $100M+
A few dozen above $500M
A handful of billionaires past Musk
Same building. Same mission. Two orders of magnitude apart โ set entirely by what year you walked in.
Early isn't a strategy. It's a date stamp.
AI is about to reshape the global workforce:
24% of jobs globally, or ~838 million positions, are estimated to be exposed to generative AI.
High-income countries are facing the greatest risk at ~33% of employment, with ~6% of roles potentially having the highest exposure.
Jobs with the highest exposure are those with repetitive and predictable tasks, meaning AI can automate them with little human variability required.
By comparison, the exposure of low-income countries is ~11% or one-third the levels of high-income countries.
Europe and Central Asia are the most exposed regions at ~32% of employment, followed by the Americas at ~30%, while Africa is the least exposed at ~13%.
The biggest workforce transformation in modern history is underway.
The best way to get what you want in life is to deserve what you want. How could it be otherwise? The world is not crazy enough to look for a lot of underserving people to reward:
Charlie Munger