Dan Ives: Q2 earnings will be the driver for mega-cap stocks

Watch on YouTube ↗  |  July 15, 2026 at 19:58  |  3:30  |  CNBC
Speakers
Dan Ives — Managing Director, Wedbush Securities

Summary

Dan Ives discusses SpaceX as an early-stage AI data story, expects Q2 earnings to be a pivotal driver for mega-cap tech and chip stocks, and highlights Alphabet as a rational valuation play in AI.

  • SpaceX seen as a long-term AI data play, still in early innings.
  • SK Hynix called the golden child of AI trade, with Q2 earnings as a potential catalyst after a sell-off.
  • Hyperscalers Alphabet, Microsoft, Amazon are in the penalty box; Q2 earnings a fork in the road.
  • Alphabet flagged as a valuation rationalization name in AI, drawing Buffett-style interest.
  • Ives believes the AI demand story is still in the third inning, supporting chip demand.
Ideas
Dan Ives Managing Director, Wedbush Securities 0:33
Early innings AI data space play
SpaceX is a long-term AI data story still in mile 1 or 2 of a marathon; short-term launch speed bumps are noise, and the company is essential to the fourth industrial revolution, similar to early Amazon or Facebook.
Dan Ives Managing Director, Wedbush Securities 2:12
Golden child AI memory stock, Q2 catalyst
SK memory (SK Hynix) is the golden child of AI trade; the massive sell-off since going public sets up for Q2 earnings to act as a catalyst, with AI demand-supply still favorable at 15:1 and the demand story early.
Dan Ives Managing Director, Wedbush Securities 2:45
Hyperscalers' Q2 earnings pivotal moment
Hyperscalers Alphabet, Microsoft, Amazon are funding the AI capex party but are in the penalty box; Q2 earnings season is a fork in the road that could validate their spending and lift them out of the penalty box, with AI demand still early.
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This CNBC video, published July 15, 2026, features Dan Ives discussing SPCX, 000660.KS, MSFT, AMZN, GOOGL. 3 trade ideas extracted by AI with direction and confidence scoring.

Speakers: Dan Ives  · Tickers: SPCX, 000660.KS, MSFT, AMZN, GOOGL