“The implications for Apple’s competitive position in AI are significant. The dominant narrative that Apple is behind — that Siri is a joke compared to ChatGPT, that Apple Intelligence is underwhelming, that the company missed the generative AI wave — could be misleading. Woods’s experiment suggests Apple may have quietly built the right hardware all along.”
Check out what the World Wide Developers Conference on June 8th has to say.
There are two sleeper hits: the Mac mini, which is excellent for running OpenClaw, and the MacBook Neo, which has the potential to capture market share in the upcoming mainstream AI era.
Apple CEO Tim Cook said on the company’s earnings call on Thursday that it could take “several months” to meet skyrocketing demand for the Mac Mini, the company’s compact but mighty, screen-free desktop computer. Cook’s remarks come after coders determined in recent months that the Mac Mini was the perfect machine for agentic AI tasks.
The rapid adoption of generative AI and unexpected demand for the company’s new, colorful, and more affordable MacBook Neo laptop.
A new era begins…
… “Apparently under incoming CEO John Ternus, the company may take money that might otherwise have been funneled to shareholders, and spend it on new ideas.”
… “Apple could “spring for a blockbuster acquisition,” or “expand the company’s AI infrastructure ”
$400 is 1 year target.
John Ternus’s actions over the next twelve months could potentially quadruple AAPL’s stock price within the next decade. I hope for a “hell frozen over” moment akin to the “launching iTunes for Windows”.
Apple silicon is the most suitable architecture for inference. If John and Johnny can aggressively capitalize on this advantage to achieve dominance in on-device inference and private cloud, it would be a significant achievement. ![]()
For the next few years, Wedbush believes about 20% of the world’s population will have access to AI with an Apple device.
Wedbush estimates the value of those pieces over time to be as much as $15 billion in annual services revenue.
The analyst note also marks an opportunity for Apple to monetize AI features, premium storage, and on-device intelligence.
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Apple as the gateway to the AI world. Wedbush believes in 20%, my hope is over 50% ![]()
For Apple to justify a $400 target, a few things need to go right:
- AI services have to become visible in the numbers.
- China’s execution has to hold up.
- The next major iPhone redesign needs to land well.
- Apple has to convert AI usage into recurring revenue, not just interest.
Apple device is not limited to iPhone. AirPods, Apple Watches, MBA/MBP/MBN, iPads, AVP, Apple Glasses,
YTD, AAPL outperforms S&P significantly. With the right stocks, the buy-and-hold (hopefully forever) strategy works exceptionally well.
Jul 13:
ATH: $323.45
Closing ATH: $317.31
YTD: AAPL outperforms Nasdaq, GSPC, and the other 6 members of Mag7.
This issue is critical to Apple’s future.
…technology industry races to build artificial-intelligence-powered devices that can move society beyond the smartphone era.
“In my perspective, the fact that Apple is going this hard after Tan underscores more than retaliation. It signals a belief that Apple sees a future where it’s important for the iPhone to leverage new AI devices,” he wrote.
Thinking aloud: In my opinion, it is highly probable that future Apple products will emerge as the primary gateway and interface to the AI ecosystem. This development is anticipated to lead to another decade characterized by a substantial compound annual growth rate (CAGR) of approximately 30%. 10x over 10 years ![]()
Jul 16:
ATH: $334.68
Closing ATH: $333.26

Jul 17:
ATH: $334.99
Closing ATH: $333.74

Investors are increasingly optimistic about Apple’s AI strategy—a sore point in recent quarters—and appear encouraged that the company isn’t spending as aggressively on AI development as some peers.
True but not the main reason for re-pricing AAPL. The main reason is investors are realizing Apple products could be the dominant consumer edge AI platform. Currently, Mac Studio is the best local AI development machines available.
The rapid shift in valuation could be an indication that investors are focusing on those best placed to turn that infrastructure into gadget upgrades, subscriptions, and everyday services, rather than the companies building the artificial intelligence technology.
That pointed to the next phase in the AI trade: investors are now beginning to examine not only who is providing the computer capacity, but who can transform that power into sustainable profits.
















