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ben behar

T3 · host / generalist

CEO of Creative Strategies, a technology market research and consulting firm, with over 20 years attending Apple events and analyzing consumer technology markets including foldables and smartphones.

3 calls·2 names·67% bull·last heard 14 days ago·The Information
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$NVDANvidia

Ben Behar argues Nvidia's architectural moat and hyperscaler-driven demand justify premium valuation

Nvidia's CUDA ecosystem and massive installed GPU base create architectural lock-in for developers, while hyperscalers are building 150+ GW of AI data center capacity ex-China by 2030 and spending only ~30% of cloud revenue on capex, leaving massive room for continued GPU procurement across platform shifts from Hopper to Blackwell to Rubin to Feynman.

The Information2025-11episode →
2ndmedium conviction
$AAPLApple

Creative Strategies CEO sees Apple doubling foldable market but remaining niche at 15-20M units annually

Apple's foldable iPhone Duo will double the global foldable market size but remain a small percentage of iPhone sales, with first-year production estimated at 15-20M units and supply constraints likely, while the $2,000+ price point limits mass adoption despite payment plans, though China represents a key growth market for the form factor.

The Information2026-09episode →

most discussed · click a bar to filter

  • $NVDA
  • $AAPL

recurring themes

  • AI Infrastructure6
  • Semiconductors3
  • Data Center Infrastructure1
3 total
$NVDA
···
Nvidia
HIGHben behar·The Information·10 months ago·Nvidia Bull vs. Bear, White House AI Executive Order & Coinbase Prediction Market | Nov 20, 2025
Ben Behar argues Nvidia's architectural moat and hyperscaler-driven demand justify premium valuation
Nvidia's CUDA ecosystem and massive installed GPU base create architectural lock-in for developers, while hyperscalers are building 150+ GW of AI data center capacity ex-China by 2030 and spending only ~30% of cloud revenue on capex, leaving massive room for continued GPU procurement across platform shifts from Hopper to Blackwell to Rubin to Feynman.
"Yeah. I mean, one of those things where we just don't have a ton of context for this, right? I mean, you know, you just look at how much money they're making, how much money they'…"
7:45
$NVDA
···
Nvidia
MEDben behar·The Information·10 months ago·Nvidia Bull vs. Bear, White House AI Executive Order & Coinbase Prediction Market | Nov 20, 2025
Ben Behar argues Nvidia's architectural moat and hyperscaler demand justify bullish stance
Nvidia benefits from CUDA architectural compatibility across clouds and the largest installed GPU base, while hyperscalers are building 150+ GW of AI data center capacity ex-China by 2030 and spending under 30% of cloud revenue on capex with room to invest more. The Hopper-to-Blackwell-to-Rubin platform shifts deliver leapfrog performance gains that will unlock massive software demand.
"One is architectural compatibility. So when you're a software developer, you want to write software for what is the, you know, single architecture or architecture compatibility ac…"
4:58
$AAPL
···
Apple
MEDben behar·The Information·14 days ago·Apple iPhone Duo Debuts, Elon Musk’s Data Center Snag, Will AI Cause Humanity’s Demise?
Creative Strategies CEO sees Apple doubling foldable market but remaining niche at 15-20M units annually
Apple's foldable iPhone Duo will double the global foldable market size but remain a small percentage of iPhone sales, with first-year production estimated at 15-20M units and supply constraints likely, while the $2,000+ price point limits mass adoption despite payment plans, though China represents a key growth market for the form factor.
"I think Apple immediately comes in and helps double the size of the foldable market, but again, we're not talking we're still talking a small percentage of the overall iPhone sale…"
9:01
8
AI Infrastructuretailwind
Hyperscaler capex wave supports 150+ GW AI data center buildout ex-China by 2030
Microsoft, Google, and Amazon are building AI data center capacity at unprecedented scale (150+ GW ex-China by 2030) driven by insatiable enterprise cloud migration (<45% adoption) and AI workloads (<10% IT budget), with capex running at only ~30% of cloud revenue leaving ample room to accelerate.
8
AI Infrastructuretailwind
Hyperscalers building 150+ GW AI data centers ex-China by 2030, spending <30% of cloud revenue on capex
The largest AI infrastructure buildout in history is underway, driven by Microsoft, Google, and Amazon who have never seen such cloud demand. With enterprise cloud adoption under 45% and AI budgets under 10% of IT spend, hyperscalers have ample capacity to sustain capex. Platform architecture shifts (Hopper→Blackwell→Rubin→Feynman) deliver step-function compute leaps that will unlock new software possibilities.
8
AI Infrastructuretailwind
Hyperscaler data center buildout of 150+ GW ex-China through 2030 underpins multi-year AI compute demand
Microsoft, Google, and Amazon are building massive AI-dedicated data center capacity (over 150 gigawatts excluding China) driven by both cloud migration (less than 45% of enterprises fully on cloud) and AI adoption (less than 10% of IT budgets), creating a structural tailwind for GPU demand regardless of which chip vendor wins.
8
Data Center Infrastructuretailwind
Hyperscalers driving 150+ GW AI data center buildout ex-China by 2030
Microsoft, Google, and Amazon are building unprecedented AI data center capacity (150+ GW ex-China by 2030) driven by insatiable demand for cloud and AI workloads, with platform shifts from Hopper to Blackwell to Rubin to Feynman delivering step-function compute leaps that will fill this capacity; hyperscalers currently spend only ~30% of cloud revenue on capex, leaving massive headroom for continued investment.
8
AI Infrastructuretailwind
Hyperscaler data center buildout of 150+ GW ex-China by 2030 creates multi-year GPU demand runway
Ben Behar details a massive global AI data center construction cycle driven by Microsoft, Google, and Amazon, projecting over 150 gigawatts of new capacity ex-China by 2030 that will be filled with GPUs, with hyperscalers currently spending only ~30% of cloud revenue on capex leaving significant investment headroom.
8
AI Infrastructuretailwind
150+ GW global AI data center buildout by 2030 creates multi-year compute demand tailwind
Hyperscalers are building unprecedented data center capacity (150+ GW ex-China by 2030) with ample capex headroom (spending <30% of cloud revenue), driven by insatiable enterprise cloud migration and AI workloads that are still <10% of IT budgets.
8
AI Infrastructuretailwind
Hyperscaler data center buildout of 150+ GW ex-China by 2030 creates structural compute demand tailwind
Microsoft, Google, and Amazon CEOs report unprecedented cloud demand; less than 45% of enterprises fully deployed to cloud and <10% of IT budgets allocated to AI. Hyperscalers spending only ~30% of cloud revenue on capex with room to accelerate. This multi-year infrastructure cycle will be filled with GPUs regardless of near-term AI monetization.
7
Semiconductorstailwind
Platform shifts from Hopper to Blackwell to Rubin to Feynman represent leapfrog compute gains that reset competitive dynamics
Each GPU architecture generation delivers step-function performance improvements that expand the addressable market for AI software developers, reinforcing Nvidia's position if it maintains architectural compatibility and installed base advantages.