When S&P 7,000 Is Broken, the Uptrend Gets Stronger From Then On... Google's 100-Year Corporate Bond, Huge Demand = AI Makes Money! | Taver Stock YouTuber

S&P 7,000 뚫어내는 시점, 그 때부터 상승 더 강해집니다...100년 만기 회사채 발행하는 구글, 엄청난 수요=AI 돈된다! | 테이버 주식유튜버 [글로벌 인터뷰]
Watch on YouTube ↗  |  February 09, 2026 at 23:13  |  31:16  |  3PRO TV (삼프로TV)
Speakers
Taver — Stock YouTuber

Summary

Taver discusses why the S&P 500 remains range-bound below 7,000 despite ample liquidity and AI enthusiasm, and what could trigger a stronger upside move. He favors Nvidia and Alphabet as the clearest listed AI winners, while also highlighting smaller AI infrastructure opportunities in materials, cooling, optical communications, and power. He warns that a wave of mega IPOs could drain liquidity and pressure mega-cap tech, so investors should keep cash and buy volatility in tranches.

  • S&P 500 is boxed near 6,000-7,000 until a clear catalyst or short-covering break above 7,000.
  • AI spending remains strong, but investors want clearer monetization from Big Tech.
  • Taver's top listed AI picks are Nvidia and Alphabet, with dip-buying around volatility.
  • AI supply-chain bottlenecks may shift toward materials/components/equipment, liquid cooling, optical communications, and power infrastructure.
  • Mega IPOs such as SpaceX, xAI, OpenAI, or Anthropic could absorb liquidity and force selling in Nasdaq 100 heavyweights.
  • Credo Technology's strong revenue guidance is cited as evidence that hidden AI semiconductor names can outperform.
  • Taver recommends keeping cash, trimming into rallies, and buying quality names in tranches.
Ideas
Taver Stock YouTuber 0:58
S&P 500 range-bound until 7,000 breakout.
The S&P 500 has been stuck in a wide 6,000-7,000 box because there is no new AI catalyst and Big Tech has not yet clearly shown AI monetization. Taver sees downside as protected by ample liquidity unless there is a rate or liquidity shock, but he says a decisive break above 7,000, ideally with short covering, would trigger stronger upside volatility; near the top he would stay conservative and accumulate near the bottom of the range.
Taver Stock YouTuber 2:38
Core AI winner; buy dips below box.
Nvidia is the core listed AI winner and trades in a roughly $170-$190 box. Taver argues AI capex must send at least 40-50% of spending to Nvidia, its forward P/E is only in the low 20s versus a historical 30x-plus, and it has excess cash, rising buybacks, and M&A optionality. Even if revenue growth slows to 30%, he still wants to own it and would buy dips rather than chase strength.
Taver Stock YouTuber 12:25
Next AI shortage favors materials and equipment.
The next AI bottleneck may move beyond GPUs into CPUs, hard drives, and power, but Taver sees no appealing CPU stock and says power infrastructure has already rallied. He therefore favors semiconductor materials, components, and equipment, where valuations are volatile but many companies show actual numbers and 50% year-over-year growth; he would allocate only about 5-10% and diversify.
Taver Stock YouTuber 12:32
Small bets on cooling and optical.
Intel's CEO said copper/air cooling is no longer enough and the industry must move to liquid immersion cooling and optical/optical communications. Taver likes these AI infrastructure niches because actual revenue and 50% year-over-year growth are showing up, but he would diversify into them with only 5-10% position sizes because valuations are volatile.
Taver Stock YouTuber 13:13
Hidden AI semiconductor with doubling revenue.
Credo Technology, a smaller semiconductor-related company, preannounced that 2026 revenue will double versus 2025. Taver uses this as evidence that hidden, underfollowed AI semiconductor names with strong earnings guidance can produce outsized gains like SanDisk if investors do their research and hold through earnings.
Taver Stock YouTuber 15:05
Top AI winner with fortress cash flow.
Alphabet/Google is one of Taver's two preferred listed AI winners because its cash generation is strong. Its 100-year bond issue attracted huge demand, showing investors will fund its AI capex; he cites management's view that data-center investment can return five times the spend, and Google can pause investment for a year or two and still earn money, unlike Oracle, which is tied to loss-making OpenAI.
Taver Stock YouTuber 17:15
Oracle AI tied to loss-making OpenAI.
Oracle is a concern relative to Google because its AI/data-center buildout is tied to OpenAI, which remains deeply loss-making and may not reach profitability until 2029-30. That makes Oracle's AI-related debt and capex exposure riskier, even though its bond demand has been strong.
Taver Stock YouTuber 21:34
Mega IPOs threaten mega-cap liquidity.
Mega IPOs in 2025-26, including SpaceX, xAI, OpenAI, and Anthropic, could absorb enormous liquidity and make it harder for the S&P 500 to break above 7,000. If a giant such as SpaceX enters the Nasdaq 100, existing mega-cap technology names like Nvidia, Apple, Google, and Tesla may be mechanically sold to make room, so Taver would not indiscriminately accumulate mega-cap tech this year and would treat those liquidity-driven sell-offs as buying opportunities.
Taver Stock YouTuber 25:21
AI power demand supports infrastructure.
AI power demand is expected to create power-infrastructure shortages. Although the area has already rallied, Taver later names power infrastructure as one of the non-overextended areas to accumulate through split purchases while managing cash around volatility.
Up Next

This 3PRO TV (삼프로TV) video, published February 09, 2026, features Taver discussing SPY, NVDA, Semiconductor materials/components/equipment, Liquid cooling / immersion cooling, Optical communications, CRDO, GOOGL, ORCL, XLK, QQQ, Power infrastructure. 9 trade ideas extracted by AI with direction and confidence scoring.

Speakers: Taver  · Tickers: SPY, NVDA, Semiconductor materials/components/equipment, Liquid cooling / immersion cooling, Optical communications, CRDO, GOOGL, ORCL, XLK, QQQ, Power infrastructure