🚨 BREAKING: Google Gemini can now analyze any stock like a Wall Street analyst (for free).
Here are 10 insane Gemini prompts that replace $4,000/month Bloomberg terminals:
(Save this 🔖 you’ll need it later)
“We found 146,000 kids so far. Some of these kids claimed that they were raped over 600 times. I don't care who you are. If you can't stand for law enforcement to go find these kids, who are you?” @SecMullinDHS
Instead of watching an hour of Netflix, watch this 60 minute lecture from Steve Jobs after being fired from Apple. It will teach you more about building companies than most startup books ever will.
HEARTBREAKING: Her 10-month-old baby was cut in half with a knife in front of her, her husband shot dead, and she watched them split her second child's skull with a machete. They also cut off one of her hands.
This is life for Christians in Nigeria. The media remains silent.
The entire event yesterday, launching missions, landers, rovers, tech demos building a Moon Base, and sci-fi capabilities like MoonFall, brought to you by those who Dare Mighty Things. Just the very beginning. What a time 🇺🇸
In 1 year, $ENLT spiked 600% from $15 to $90+
Right now, $NVDA CEO wants you to buy sustainable energy companies.
Here's 7 stocks under $10 that can 20x just like $BE:
1/ $PLUG ~$3.76 | Target: $30
Green hydrogen fuel cells deliver clean, on-site backup power for AI data centers bypassing overloaded grids entirely.
Customers: $AMZN, $WMT, $HD, $MSFT, $SO
Catalyst 1: Q1 gross margin improved 42pp YoY margin turnaround is real and accelerating
Catalyst 2: DOE hydrogen hub funding unlocking PLUG is a primary beneficiary of U.S. green hydrogen infrastructure buildout
Catalyst 3: Targeting positive EBITDAS by Q4 2026, which would mark a fundamental re-rating moment for the stock
2/ $FLNC ~$20.00 | Target: $65
Grid-scale battery storage that keeps renewable power stable and uninterrupted for 24/7 AI data center operations.
Customers: Two new hyperscaler MSAs signed ($GOOG $MSFT $AMZN $META could be?), BrightNight, Cordelio Power, LEAG (Europe)
Catalyst 1: Two new hyperscaler Master Supply Agreements signed in Q1 2026 expected to generate over $2B in revenue
Catalyst 2: Record $5.5B backlog with a $30B pipeline, up 30% since September 2025
Catalyst 3: Citi raised target to $26 and Canaccord raised to $28 post Q1 analyst conviction building fast
3/ $ARRY ~$10.00 | Target: $40
Solar tracking systems that maximize output at utility farms directly powering AI data center campuses nationwide.
Customers: NextEra Energy, Invenergy, AES, RWE Renewables, AWS energy partners
Catalyst 1: Record $2.4B orderbook in Q1 2026 IRA deadline rush driving near-term revenue surge
Catalyst 2: Hyperscalers signing 100-500MW solar PPAs directly every one requires ARRY trackers
Catalyst 3: APA Solar acquisition adds tracking software margin and new utility-scale contract channels
4/ $SHLS ~$10 | Target: $32-$35
Electrical balance-of-system components the invisible wiring and combiner systems every AI-powering solar plant depends on.
Customers: $NEE , RWE Renewables, Enel Green Power, $AES , Invenergy
Catalyst 1: Q1 2026 revenue +75% YoY to $140.6M with a record $758M backlog
Catalyst 2: New DC-coupled battery storage products open a second revenue stream alongside solar BoS
Catalyst 3: Goldman Sachs Buy rating with $11 target facility consolidation headwinds clear in H2 2026, margin recovery follows
5/ $EOSE ~$8 | Target: $24
Zinc-based long-duration batteries solve renewable intermittency providing the hours-long storage AI data centers need for truly uninterrupted clean power.
Customers: $DUK , $ED, U.S. Army Corps of Engineers, data center developers
Catalyst 1: Second production line coming online in 2026 doubles output capacity and drives gross margin positive
Catalyst 2: $220M+ in new orders in Q4 2025 with 20% pipeline growth data center sector is the primary driver
Catalyst 3: Domestic zinc supply chain means zero Chinese lithium dependency — a structural moat in the tariff war era
6/ $FCEL ~$21 | Target: $60
Modular fuel cells deliver on-site DC power with waste-heat capture for cooling purpose-built for the 24/7 uptime AI workloads require, no grid connection needed.
Customers: $XOM , $TM , $PFE , U.S. Navy, Department of Defense
Catalyst 1: 1.5 GW+ in active AI data center proposals even partial conversion is transformational at this market cap
Catalyst 2: Q1 2026 revenue +61% YoY as the bring-your-own-power trend accelerates across hyperscalers
Catalyst 3: ExxonMobil carbon capture JV commercialization validates the technology at industrial scale by late 2026
7/ $AQN ~$8 | Target: $24-$30
Regulated wind, solar, hydro and thermal utility the reliable baseload backbone AI data centers need most, trading at a deep discount to book value.
Customers: Regulated U.S. ratepayers, Midwestern utilities, Canadian provincial utilities, long-term PPA counterparties
Catalyst 1: Strategic asset sales and restructuring completion of the review in H1 2026 unlocks significant shareholder value
Catalyst 2: Pending U.S. rate case approvals across multiple jurisdictions directly lift regulated earnings
Catalyst 3: Fed rate cuts are a free catalyst every 25bps cut meaningfully re-rates this stock higher
Recently, Jensen Huang in an interview said $NVDA under invested in sustainable energy. I still like $BEP $ENLT $PLUG and possibly $ENPH. $ENLT can keep going towards $200 then $400+ I'd say.
♻️RESHARE this post and make 1 comment and I'll DM you my $SPY chart for this week right now.
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My name is William Michael Holte.
I’m AMERICAN, not AFRICAN-American.
So I don’t wear braids, two-strand twists, cornrows, or locs.
I don’t wear Kente cloth.
I don’t smoke weed or smell like it.
I don’t use the N-word.
I don’t celebrate Kwanzaa — I celebrate Christmas.
I don’t celebrate Juneteenth — I celebrate Independence Day.
I don’t listen to rap — I enjoy classical music.
I don’t wear my pants down under my butt.
I don't wear du-rags.
I don't pretend “We wuz kings,” or push fake ancient African empires.
I don’t blast music with the windows down.
I don’t eat soul food.
I don’t speak in AAVE or Ebonics.
I don’t demand reparations.
I don’t walk around with a permanent victim complex.
And, like the vast majority of fake 'African-Americans' in this country, I don't have any desire to go back to or live in Africa.
I'm Team AMERICA, ride or die.
Who’s with me on that?
AI doesn’t run on software alone.
Underneath every model, every robot, and every autonomous vehicle is a physical infrastructure stack.
Here are 6 names quietly powering the next decade of compute, sensing, and robotics:
A public health paper just described how AI-driven unemployment could trigger the same economic collapse that caused the 2008 financial crisis.
Except this time, there is no housing bubble to blame. The bubble is the workforce itself.
The paper is called "The Recessionary Pressures of Generative AI: A Threat to Wellbeing." Published in 2024 on arXiv, later peer-reviewed and cited in public health literature through the National Institutes of Health. It is not written by economists. It is written by public health researchers, people who study what economic collapses do to human bodies and minds.
That framing changes everything.
Generative AI holds the capacity to profoundly reshape labour market dynamics and paradoxically, if left to market dynamics, undermine the very economic growth it aims to achieve.
The researchers start with a historical observation. Since the 2008 global financial crisis, there has been a global slowdown in productivity growth affecting 70% of advanced and developing economies. AI arrived as the promised solution, the technology that would finally break through the stagnation and deliver the productivity surge that had been missing for 15 years.
But the researchers identified a paradox built into the promise.
The pioneers of this technology are now openly acknowledging that generative AI is fundamentally a labour-replacing tool. Experts who understand the capability and trajectory of generative AI recognize that the current surge in AI-specialized jobs may ironically promote their own obsolescence.
Here is the doom loop they describe.
AI replaces workers. Displaced workers lose income. They reduce spending. Consumer demand falls. Companies see falling demand and cut costs by automating more. More workers displaced. Less spending. Less demand. More automation.
The productivity gains flow entirely to capital owners, the shareholders and executives whose wealth grows as the workforce shrinks. Workers receive none of the gains. They absorb all of the losses.
The researchers then apply the public health lens that makes this paper unlike anything economists have published.
They document what happens to human health during economic contractions driven by unemployment. Suicide rates rise. Substance abuse rises. Chronic disease rates rise. Mental illness rates rise. Life expectancy falls. The 2008 financial crisis generated measurable spikes in all of these across every country it touched.
Brookings Institution estimates that within the next decade, around 60% of job tasks in the United States alone are at medium to high risk of being replaced by AI.
If 60% of tasks are automated and the productivity gains go entirely to capital, the researchers argue the result is not just economic instability. It is a public health crisis at a scale that has no modern precedent.
The paper does not say this is inevitable. It says: without deliberate policy intervention, the market will not self-correct. The forces driving automation are too strong and the benefits too concentrated. And the people who will absorb the consequences, the workers have no seat at the table where the decisions are being made.
The conclusion is worth reading in full: a technology designed to produce abundance, left to market forces, risks producing the conditions for a recession that damages human wellbeing on a generational scale.
This paper was written in 2024. It was citing warning signs that were already visible then.
In 2026, those warning signs are now data points.
Source: "The Recessionary Pressures of Generative AI: A Threat to Wellbeing" · arXiv:2403.17405 · https://t.co/w1oIEexpSf · NIH/PMC: https://t.co/YaUg3XfuDR