Google Gemini Could Be the Ceiling on Apple's AI Ambitions - MacRumors
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Google Gemini Could Be the Ceiling on Apple's AI Ambitions

Apple analyst Ming-Chi Kuo says the real test of today's WWDC keynote is whether Apple can deliver better AI experiences than Google using the same Gemini models.

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Apple is using Google's Gemini to underpin the revamped version of Siri and new Apple Intelligence features. The key takeaway from WWDC, Kuo argues in a new post on X, will not be the short-term market reaction after the event. It will be whether Apple, using the same Gemini models, can deliver better AI applications, agentic workflows, and on-device and cloud hybrid experiences than Google.

If the answer is yes, it would help extend Apple's "bull" case. If the answer is no, the implication is that Apple's ceiling is set by a model it does not control. Kuo raised the point arguing against the market sentiment that "Even if Apple is temporarily behind on AI, it will ultimately catch up and come out ahead."

Nevertheless, Kuo believes Apple's business momentum will stay strong through year-end based on his latest supply-chain checks, which he expects observers to spin as "If Apple is doing this well without AI, just imagine once it has AI." Other reports suggest Apple's longer-term advantage could lie in on-device AI, with the company expected to show how its custom silicon lets it process more AI queries directly on the device rather than in the cloud.

Kuo expects today's announcements to have little bearing on the direction of Apple's stock price in the second half of the year. Regardless of what Apple says at WWDC, he argues, the positive second half of 2026 share-price trend is unlikely to change as long as the core narrative stays intact.

The longer-term risk is more pointed. Should Apple fail to outdo Google with Gemini, Kuo says the stock would not necessarily turn bearish, but the assumption that Apple "will ultimately come out ahead" would begin to face growing scrutiny. How much longer the bull narrative can last beyond 2026, in his view, is what makes the keynote worth watching closely.

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Top Rated Comments

Devyn89 Avatar
20 weeks ago
It’s bizarre to me that no matter how many times consumers say we don’t care about AI it keeps be talked about as this thing that will make or break Apple in the future.
Score: 11 Votes (Like | Disagree)
szw-mapple fan Avatar
20 weeks ago
I feel like we’ve pretty much hit the ceiling of what can be done with LLMs functionality-wise. The specs/scores of different models will keep getting better but I don’t think it matters much what model Apple ends up using longer term. It feels like we’ve already figured out the most common consumer grade use cases and none of them really require much more than an adequate model.
Score: 11 Votes (Like | Disagree)
DavidLeblond Avatar
20 weeks ago

I feel like we’ve pretty much hit the ceiling of what can be done with LLMs functionality-wise. The specs/scores will keep getting better but I don’t think it matters much for consumer grade AI since it seems like we’ve already figured out the most useful use cases.
I'm honestly astonished when I read people throwing their entire life into AI. I have the coding helper plugged into my development environments and the most used feature of it is the "snooze" button because when it gets stuff wrong it will repeatedly shove the wrong answer in my face so much it kills my productivity. And I have used it in another area of my job in a place that made it very useful... until one day something went off with the model and it started hallucinating like crazy so now I'm back to my old processes. It went from being useful to a burden.
Score: 5 Votes (Like | Disagree)
20 weeks ago
Gemini has been hopelessly wrong for me for weeks now. I’ll ask it a question, then press it because it’s wrong and the next response is, “you’re absolutely right, thanks for catching my mistake…” this does not bode well for the short term.
Score: 4 Votes (Like | Disagree)
jclardy Avatar
20 weeks ago
I think Apple is in a good position here, mainly because what most people would find useful is a proper harness. OpenClaw became popular because it finally brought things full circle, you didn't just ask something and follow directions - it could actually just do everything.

On an iPhone if Apple can securely expose data and functionality (Which is possible because of the App Intents system used for shortcuts) and build a solid harness, they essentially are agnostic to the model provider.
Score: 4 Votes (Like | Disagree)
ghostface147 Avatar
20 weeks ago
Gemini does do silly things from time to time. I’ll ask it to list out my stack and it gets it wrong consistently. I tell it to forget past info and use the current info given and it forgets again. Let me ask it now real quick. Yup, had to ask it three times to get it right.

It makes routine math mistakes when adding up troy ounces. That’s pretty much the brunt of it, but I’ve gotten to the point of asking it to double check itself routinely. However overall, it does well. Just a few things here and there.
Score: 3 Votes (Like | Disagree)
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