White Collar Exit

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White Collar Exit

White Collar Exit

@WhiteCollarExit

Analyst @MilkRoadAI | C-suite advisor | Studying AI’s full value chain

München, Deutschland Katılım Şubat 2022
106 Takip Edilen182 Takipçiler
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White Collar Exit
White Collar Exit@WhiteCollarExit·
WHY BLOOM ENERGY $BE COULD BE THE AI PLAY FOR 2026 —— The AI boom has a boring problem. Electricity. You can’t scale power like software. Wires, transformers, permits, years. But hyperscalers are competing on months. That timing gap is creating a new category: „on-site power that shows up fast“ That’s where Bloom Energy enters. —— A) What Bloom actually does Bloom sells on-site power for data centers. Think “power plant in a box” next to the facility. Fuel cells produce electricity via an electrochemical process (not the burn-and-spin turbine setup). For operators, the use case is simple. If the grid can only give you 50 MW, but your campus needs 300 MW, you can supplement the missing power on-site. —— B) Why the market suddenly cares Two forces collided. Grid expansion is slow and political. AI demand is compounding fast. Global data center electricity demand is projected to more than double by 2030 to ~945 TWh. That scale forces new solutions. Also because traditional solutions like gas turbines are sold out and nuclear takes too long! In one recent discussion, Bloom cited a survey showing data centers planning on-site generation jumped from 13% to 38% in about six months. That’s a real “tipping point” signal. ⸻ C) The 3 moats that matter 1) Speed and uptime-style reliability Speed is the first moat. Bloom can deploy its systems at scale within ~90 days. Also they build these systems as modular ~65 kW building blocks. So maintenance events are small, not one big turbine down, ensuring 99% uptime. 2) Low emissions and easier community acceptance Second moat: local footprint. They emphasize “no combustion” at the point of generation, and they highlight the system being quiet (around ~65 dB). That matters when communities push back on noisy, dirty backup-style setups. 3) Lower total cost of ownership Third moat: economics. If you include TCO (not just fuel price), Bloom is often framed as ~20% lower TCO vs. gas turbines and others. Especially once you factor in lead times, maintenance windows, and the cost of delay. In an AI race, time-to-power is part of the bill. —— Key takeaway Bloom Energy is perfectly positioned to benefit in an environment where customers need - 24/7 reliable energy - fast energy deployment - low emission energy - grid not able to supply enough = AI datacenter boom
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White Collar Exit
White Collar Exit@WhiteCollarExit·
@danielnewmanUV yep, + downstream infrastructure for agents eg economic rails (payments, etc.) is underappreciated imo
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Daniel Newman
Daniel Newman@danielnewmanUV·
I was not emphatic enough about just how short we are of compute, memory, energy, etc. The demand curve for AI has been greatly understated. And the estimates aren’t bullish enough. Watch. 👀 We do not have even close to enough to compute. 💪🏻🚀
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Chris Camillo
Chris Camillo@ChrisCamillo·
Any chance this peace deal somehow ends with an $NVDA-powered, $BE-fueled $AMZN data center in Tehran?
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White Collar Exit
White Collar Exit@WhiteCollarExit·
This looks very promising, at least at first sight! Those robots operate in very structured environments, with no deviations what so ever. It is very likely that if you move the object they are working on by just an inch, they would need to stop operations… I‘m very bullish on humanoids long-term, but 2026/27 is late R&D/pilot phase imo. Real deployment will happen 2028 earliest, at scale likely 2029/30 and beyond. Will layout the reasons in my next deep dive AI report for @MilkRoadAI
Tsla Archive@tesla_archive

🚨NEWS: $TSLA RIVAL XIAOMI DEPLOYS HUMANOID ROBOT WITH 3 HOURS OF AUTONOMOUS OPERATING TIME AT EV ASSEMBLY PLANT • Xiaomi Corp has deployed humanoid robots in its electric vehicle assembly plant • Robots achieved 3 hours of continuous autonomous operation in the die-casting workshop • Task: placing self-tapping nuts with a 90.2% success rate • Robots use Vision-Language-Action (VLA) approach combined with reinforcement learning • Xiaomi is exploring additional applications for the robots in production • Xiaomi CEO Lei Jun (via WeChat post): expects significantly more humanoid robots deployed at production facilities over the next five years

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White Collar Exit
White Collar Exit@WhiteCollarExit·
Why AI needs crypto? AI is about to add billions of autonomous agents to the economy. That creates machine-speed commerce + verification needs that today’s fiat rails, onboarding rules, and identity systems can’t handle. Crypto (stablecoins + cryptographic authentication) becomes the default “agent-native” stack. Permissionless payment/settlement, programmable coordination, and a ledger of truth to distinguish real humans/agents from deepfakes and spam. As this shifts value from human labor to software/agents, markets rerate “code businesses,” and the big winners are the infrastructures that serve agents. $ETH $SOL $COIN
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White Collar Exit
White Collar Exit@WhiteCollarExit·
@xEBITDA Agree, however, likely takes a few quarters to rebuild trust. Opportunity cost in this market so high imo…
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Master Yoda
Master Yoda@xEBITDA·
$EOSE earnings take: If you strip away every promise management has ever made, and just look at the numbers, the growth profile is actually impressive. Revenue: - 2024: ~$15M - 2025: ~$115M - 2026 guide: ~$300M That’s not incremental growth. That’s a company scaling from pilot phase to real commercial deployment. Margins are improving. Volume is scaling. The product is clearly finding market demand. So why is the stock down and sentiment so bad? Because the disappointment isn’t about the growth profile. It’s about credibility. Management consistently guided higher than what ultimately materialized. Important distinction: The issue isn’t that $EOSE isn’t growing. It’s that management consistently over-promised and under-delivered. Without those aggressive projections, we likely never would have seen $19. But we also wouldn’t have seen this kind of violent drawdown. Ironically, the hype cycle had one major benefit: It allowed the company to raise substantial capital and strengthen the balance sheet to survive the ramp. Now we’re left with something interesting: A company with a real growth trajectory… But a management team that needs to rebuild trust. Or better, be replaced. The next phase for $EOSE isn’t about vision. It’s about execution and credibility. If they simply guide conservatively and hit numbers consistently, sentiment can reset, and the multiple can follow. The story isn’t broken. The messaging was.
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White Collar Exit
White Collar Exit@WhiteCollarExit·
$EOSE Why I’m selling the entire position today: I bought EOSE as a levered bet on the AI datacenter power bottleneck, where batteries become a must-have “grid buffer” as load growth outruns interconnections. I accept small-cap execution risk and sized it accordingly, so the drawdown isn’t catastrophic for portfolio performance. However, especially in small caps, trust in management is everything and this quarter broke it for me. They held guidance through entire Q4, then missed very, very badly due to basic execution failures. With trust likely taking many quarters to rebuild and opportunity cost high in this market, I’m reallocating the capital to higher-conviction buys. Why I’d still take the bet again in hindsight: The strategic setup still holds. AI datacenters are forcing “bring-your-own-energy” and resilience spending, and short to mid term-duration storage is a core part of that stack. The bet was directionally correct. The mistake was underwriting execution and management credibility too optimistically.
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White Collar Exit
White Collar Exit@WhiteCollarExit·
100% agree! Taking the loss as well….
Shay Boloor@StockSavvyShay

Dear Joe, I’m writing this as a shareholder who actually wanted to believe in $EOSE is building and who still believes the underlying problem you’re trying to solve is real, urgent & structurally important for the grid. But this quarter wasn’t just a bad print.. it genuinely was a complete trust break. Small-cap investing is like watching your house catch fire since you already know the risk going in but the only way you survive is if you trust the person guiding you to the front door. Once that trust is gone then you don’t just lose money but you burn with it. That’s what this quarter felt like. Reaffirming guidance deep into the quarter and then missing it by this much without pre-announcing tells me that you actually didn't know what was happening inside the factory or chose to stick with the story even as the numbers were falling apart. Both are bad. As CEO, that’s on you. What makes this harder to swallow is the timing since you raised roughly $600M late in the quarter and then turned around and delivered results that were nowhere close to what had been guided. Even if every operational issue you laid out is real then the sequence alone creates a governance problem. You can’t take fresh capital from the market while the quarter is blowing up and then act surprised after the fact. That destroys credibility. I heard the explanations of supplier issues, downtime way above expectations, automation not hitting quality targets, rework, utilization below plan. These are real problems but from the outside it looks like the manufacturing system still isn’t stable enough to support the confidence you projected publicly. You can’t ask investors to underwrite a scaling story when the engine is still sputtering. The frustrating part is that demand doesn’t look like the problem. You booked a lot of new orders, backlog grew and the pipeline is big and the tech actually matters. Long-duration, non-flammable zinc batteries solve a real gap that lithium-ion doesn’t since data centers run 24/7 but the grid wasn’t built for that. Eos sits right at the intersection of AI power demand and grid reliability which is why people believed in this story in the first place. But none of that matters if management credibility is impaired which is exactly what today’s stock action reflects. A 40% drawdown isn’t the market debating long-duration storage but it’s the market GRADING YOU JOE and saying it no longer trusts you on execution. I hope the company does turn it around. I hope the technology scales. I hope the mission succeeds. But as an investor, I already accept enough uncertainty from markets, supply chains and the normal fog of war but what I cannot accept is uncertainty layered with distrust of management communication. This quarter crossed that line and you should assume many shareholders feel the same.

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White Collar Exit
White Collar Exit@WhiteCollarExit·
@RaoulGMI 3 layers we require for the synthetic labor stack: A: Capacity layer (power, compute) B: Trust layer (security, governance) C: Economy layer (identity, payments)
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amit
amit@amitisinvesting·
the stock market being closed takes away most of the purpose from my life
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