5x returns🤯
Nuclear and gas did it quietly while everyone watched Nvidia.
Morgan Stanley's segment rotation chart tells the story nuclear stocks up 5x, gas generators 4x, fuel cells 3x all since mid-2024, all driven by the same force: AI data centers consuming power faster than grids can supply it.
Grid components led first.
Then backup generators.
Then nuclear and gas pulled away from the field entirely as the market realized intermittent renewables can't power a 100MW data center at 3am.
Now Morgan Stanley says the next rotation is energy storage.
The power trade is moving to the next segment.
The pattern in this chart tells you exactly where to look before the crowd arrives.
Nuclear and gas did it quietly while everyone watched Nvidia.
Morgan Stanley's segment rotation chart tells the story nuclear stocks up 5x, gas generators 4x, fuel cells 3x all since mid-2024, all driven by the same force: AI data centers consuming power faster than grids can supply it.
Grid components led first.
Then backup generators.
Then nuclear and gas pulled away from the field entirely as the market realized intermittent renewables can't power a 100MW data center at 3am.
Now Morgan Stanley says the next rotation is energy storage.
The power trade is moving to the next segment.
The pattern in this chart tells you exactly where to look before the crowd arrives.
The boring AI infrastructure stack nobody talks about 💡
$FIX — installs HVAC in data centers. No cool air, no compute.
$VST — Texas power plants that never sleep. AI signs directly with them.
$VRT — liquid cooling inside every hyperscaler. NVDA ships GPUs, VRT ships everything around them.
$ETN — moves power from grid to chip. Data center backlog up 200% YoY.
$PWR — wires the grid to the data center. $44B backlog. Building AI’s foundation.
$ENS — UPS batteries keeping data centers online when the grid blinks.
$BWX — builds nuclear reactors. Microreactor play for behind-the-meter AI power.
Picks → shovels → wires → cooling → backup. Every layer has a winner.
$FIX — installs HVAC in data centers. No cool air, no compute.
$VST — Texas power plants that never sleep. AI signs directly with them.
$VRT — liquid cooling inside every hyperscaler. NVDA ships GPUs, VRT ships everything around them.
$ETN — moves power from grid to chip. Data center backlog up 200% YoY.
$PWR — wires the grid to the data center. $44B backlog. Building AI’s foundation.
$ENS — UPS batteries keeping data centers online when the grid blinks.
$BWX — builds nuclear reactors. Microreactor play for behind-the-meter AI power.
Picks → shovels → wires → cooling → backup. Every layer has a winner.
🔥1
🚨Nuclear is the single largest source of EU 🇪🇺electricity in 2025.
☢️ Nuclear: 23.2%
💨 Wind: 17.7%
⛽ Natural gas: 16.8%
☀️ Solar: 13.3%
💧 Hydro: 12.9%
⚫ Coal: 9.2%
Renewables are growing.
But fossil fuels combined still account for 27% and that gas dependency is exactly why Hormuz matters to Brussels, not just Riyadh.
France understood this years ago with 70% nuclear at home. While Germany shut reactors and ended up paying $2.30/litre for gasoline.
The EU's energy sovereignty debate is in this chart and in every canceled Lufthansa flight💥
☢️ Nuclear: 23.2%
💨 Wind: 17.7%
⛽ Natural gas: 16.8%
☀️ Solar: 13.3%
💧 Hydro: 12.9%
⚫ Coal: 9.2%
Renewables are growing.
But fossil fuels combined still account for 27% and that gas dependency is exactly why Hormuz matters to Brussels, not just Riyadh.
France understood this years ago with 70% nuclear at home. While Germany shut reactors and ended up paying $2.30/litre for gasoline.
The EU's energy sovereignty debate is in this chart and in every canceled Lufthansa flight💥
THE PHOTONICS ROTATION
Almost nobody is watching photonics.
As AI clusters scale, copper hits physical limits and the next bottleneck becomes optical infrastructure.
Here are 15 names positioned for it:
1. $LITE owns the laser + optical switching side of the trade and is one of the cleanest pure plays on AI optical demand.
2. $COHR wins from lasers, modules, and networking hardware that power hyperscale AI infrastructure and cloud expansion.
3. $AAOI is one of the best ways to play AI optical transceivers with major hyperscaler demand for 800G and 1.6T connectivity.
4. $SIVE benefits from the push toward faster semiconductor-to-optical integration as AI infrastructure scales.
5. $MRVL controls a huge part of the DSP + interconnect story with optical networking chips and high-speed connectivity.
6. $AVGO sits at the center of AI networking through switching, custom silicon, and optical interconnect demand.
7. $ANET is the Ethernet backbone moving massive AI workloads across hyperscale clusters and data centers.
8. $GLW supplies the specialty glass + fiber needed for the optical transport layer behind AI infrastructure.
9. $JBL benefits from building and scaling the actual hardware behind networking systems and optical modules.
10. $AEHR wins from burn-in + testing demand as AI ASICs and high-power optical hardware move into production.
11. $POET is focused on lower-cost optical engines designed to improve efficiency inside AI data centers.
12. $LWLG is pushing next-gen polymer photonics that could make optical communication faster and more efficient.
13. $QCLS brings exposure to advanced laser systems supporting precision photonics and next-gen optical demand.
14. $LPTH provides specialty optics and photonic components tied to industrial, defense, and AI-driven systems.
15. $ALAB gives exposure to the connectivity + infrastructure side helping AI clusters scale faster.
Most people won’t care until these are already up 100%.
Almost nobody is watching photonics.
As AI clusters scale, copper hits physical limits and the next bottleneck becomes optical infrastructure.
Here are 15 names positioned for it:
1. $LITE owns the laser + optical switching side of the trade and is one of the cleanest pure plays on AI optical demand.
2. $COHR wins from lasers, modules, and networking hardware that power hyperscale AI infrastructure and cloud expansion.
3. $AAOI is one of the best ways to play AI optical transceivers with major hyperscaler demand for 800G and 1.6T connectivity.
4. $SIVE benefits from the push toward faster semiconductor-to-optical integration as AI infrastructure scales.
5. $MRVL controls a huge part of the DSP + interconnect story with optical networking chips and high-speed connectivity.
6. $AVGO sits at the center of AI networking through switching, custom silicon, and optical interconnect demand.
7. $ANET is the Ethernet backbone moving massive AI workloads across hyperscale clusters and data centers.
8. $GLW supplies the specialty glass + fiber needed for the optical transport layer behind AI infrastructure.
9. $JBL benefits from building and scaling the actual hardware behind networking systems and optical modules.
10. $AEHR wins from burn-in + testing demand as AI ASICs and high-power optical hardware move into production.
11. $POET is focused on lower-cost optical engines designed to improve efficiency inside AI data centers.
12. $LWLG is pushing next-gen polymer photonics that could make optical communication faster and more efficient.
13. $QCLS brings exposure to advanced laser systems supporting precision photonics and next-gen optical demand.
14. $LPTH provides specialty optics and photonic components tied to industrial, defense, and AI-driven systems.
15. $ALAB gives exposure to the connectivity + infrastructure side helping AI clusters scale faster.
Most people won’t care until these are already up 100%.
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🇨🇳 MirrorMe showed their humanoid robot Bolt accelerate to 36 km/h (22 mp/h)
Bolt is a humanoid robot focused on speed, height 177 cm (5 feet 9.7 inches) and weight 75 kg (165 pounds)
Only Olympic athletes like Usain Bolt could outrun the bot, but also … only for a short time.
Bolt is a humanoid robot focused on speed, height 177 cm (5 feet 9.7 inches) and weight 75 kg (165 pounds)
Only Olympic athletes like Usain Bolt could outrun the bot, but also … only for a short time.
2030s technology
QUANTUM VACUUM LATTICE FABRICATOR (QVLF-1).
Conceptual Research Instrument.
The QVLF-1 is a hypothetical instrument that uses engineered vacuum lattices and coherent photonic interference to assemble matter at the atomic scale. It is designed for exploratory research in quantum materials and advanced manufacturing.
By combining ultra high vacuum environments with dynamically reconfigurable electromagnetic and photonic fields, the system enables precise positioning, bonding, and manipulation of individual atoms and quantum states. Instead of relying on traditional chemical synthesis, the QVLF-1 constructs structures deterministically, placing atoms exactly where they are needed within a programmable lattice framework.
Potential applications include superconductors with tailored characteristics, quantum computing architectures, ultra dense energy storage systems, next generation nanomechanical devices and many more.
QUANTUM VACUUM LATTICE FABRICATOR (QVLF-1).
Conceptual Research Instrument.
The QVLF-1 is a hypothetical instrument that uses engineered vacuum lattices and coherent photonic interference to assemble matter at the atomic scale. It is designed for exploratory research in quantum materials and advanced manufacturing.
By combining ultra high vacuum environments with dynamically reconfigurable electromagnetic and photonic fields, the system enables precise positioning, bonding, and manipulation of individual atoms and quantum states. Instead of relying on traditional chemical synthesis, the QVLF-1 constructs structures deterministically, placing atoms exactly where they are needed within a programmable lattice framework.
Potential applications include superconductors with tailored characteristics, quantum computing architectures, ultra dense energy storage systems, next generation nanomechanical devices and many more.
🚨Half the world's top 10 copper miners couldn't hit their own targets
while demand is about to surge📈
⚠️This is a supply warning
✅ CMOC: +111kt above midpoint
✅ Rio Tinto: +68kt
✅ BHP: +18kt (expected)
✅ CODELCO – Corporación Nacional del Cobre de Chile: +9kt
❌ Zijin Mining Group: −65kt
❌ Grupo Antofagasta Minerals: −26kt
❌ Anglo American: −24kt
❌ Grupo México: −12kt
❌ Glencore: −11kt
Among the top 10 producers on earth 4 beat but 5 missed.
The demand side isn't slowing down
→ Data centers alone: +475kt copper demand in 2026 vs prior year
→ Grid infrastructure: 60%+ of all copper demand growth to 2030
→ EVs use 3–4x more copper than gas vehicles
→ For Bloomberg demand could triple by 2045
→ 8 mtpa of new mining capacity needed by 2035
None of it exists yet.
the forecast:
ICSG: market moves into shortage in 2026
Goldman Sachs: 160kt surplus
J.P. Morgan: copper at $12,500/t in Q2 2026
You can model demand all you want.
The constraint is always supply.
And the top 10 just told you supply is harder than the models assume.
while demand is about to surge📈
⚠️This is a supply warning
✅ CMOC: +111kt above midpoint
✅ Rio Tinto: +68kt
✅ BHP: +18kt (expected)
✅ CODELCO – Corporación Nacional del Cobre de Chile: +9kt
❌ Zijin Mining Group: −65kt
❌ Grupo Antofagasta Minerals: −26kt
❌ Anglo American: −24kt
❌ Grupo México: −12kt
❌ Glencore: −11kt
Among the top 10 producers on earth 4 beat but 5 missed.
The demand side isn't slowing down
→ Data centers alone: +475kt copper demand in 2026 vs prior year
→ Grid infrastructure: 60%+ of all copper demand growth to 2030
→ EVs use 3–4x more copper than gas vehicles
→ For Bloomberg demand could triple by 2045
→ 8 mtpa of new mining capacity needed by 2035
None of it exists yet.
the forecast:
ICSG: market moves into shortage in 2026
Goldman Sachs: 160kt surplus
J.P. Morgan: copper at $12,500/t in Q2 2026
You can model demand all you want.
The constraint is always supply.
And the top 10 just told you supply is harder than the models assume.
THE 7 LAYERS OF PHOTONICS
1. Materials & Wafers (substrate layer)
$AXTI, $IQE $WOLF, $COHR, $LWLG
2. Tools (fabrication layer)
$ASML, $AMAT, $LRCX
3. Lasers (light generation layer)
$LITE, $COHR, $LASR, $SMTC
4. Foundries (manufacturing layer)
$TSM, $TSEM, $GFS, $UMC, $INTC
5. Test, Inspection & Packaging (reliability layer)
$AEHR, $VIAV, $ONTO, $AMKR, $FN
6. Optics (module layer)
$AAOI, $POET, $GLW
7. Networking (connectivity layer)
$CRDO, $MRVL, $AVGO, $ANET, $CIEN
1. Materials & Wafers (substrate layer)
$AXTI, $IQE $WOLF, $COHR, $LWLG
2. Tools (fabrication layer)
$ASML, $AMAT, $LRCX
3. Lasers (light generation layer)
$LITE, $COHR, $LASR, $SMTC
4. Foundries (manufacturing layer)
$TSM, $TSEM, $GFS, $UMC, $INTC
5. Test, Inspection & Packaging (reliability layer)
$AEHR, $VIAV, $ONTO, $AMKR, $FN
6. Optics (module layer)
$AAOI, $POET, $GLW
7. Networking (connectivity layer)
$CRDO, $MRVL, $AVGO, $ANET, $CIEN
The corporate earnings season continues in the US.
Monday, April 27:
- Nothing important
Tuesday, April 28:
- Nothing important
Wednesday, April 29:
🇯🇵 Japan - No trading (Showa Day)
🇺🇸 USA - Durable Goods Orders (March) - 15:30
Thursday, April 30:
🇺🇸 USA - Initial Jobless Claims - 15:30
🇺🇸 USA - Chicago PMI (April) - 17:45
🇺🇸 USA - Fed balance sheet - 23:30
Friday, May 1:
🌏 China, Brazil, India, and several other countries - No trading (Labor Day)
🇺🇸 USA - S&P Manufacturing PMI (April) - 16:45
🇺🇸 USA - ISM Manufacturing PMI (April) - 17:00
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