Why Apple is playing it slow with AI

Apple takes its time with artificial intelligence. While most technology companies are racing to push artificial intelligence features as quickly as possible, Apple is the opposite. Its large advertisement – will not reach most users until 2026. This is a long delay in the market as the speed appears to be more important than quality. But perhaps this is the basic point.
In WWDC for this year, Apple has offered new features of artificial intelligence associated with Siri, writing tools, and application suggestions. The “Apple Intelligence” package is called “Apple Intelligence”, but these tools will not be widely available any time. Currently, they are limited to the users of the experimental version on specific devices in the United States. The rest of the world will have to wait. according to MacworldIt is expected that early access to Apple intelligence will be restricted, and many users may not see the features of iOS 18.4 (as soon as possible) in 2025. A broader version can slide to 2026.
Do not fail to knee – just do not accelerate
For some, the delay appears to be an apple lagging behind. Openai has already put GPT-4O, and Google presses GEMINI in Android, and has pushed Microsoft Copilot to Office, Windows and everything else. Compared to that, the Apple looks slow.
Apple tends to charge bad programs. It is late when things do not work. The company has a long history of waiting until something before it is bound to be pushed out. This type of caution may be frustrated, but it also avoids something worse: giving people tools not working properly.
Meanwhile, the competitors charge the peer of insects
It seems that many companies do not care about quality. Microsoft of Microsoft often offers, for example, wrong answers, categorical formation, or produce an undesirable text. Chatgpt has a set of its problems, from hallucinogenic facts to giving inconsistent results. Even tools like Claude or Gemini, which show the promise in short fiery shorts, tend to shorten in long -term tasks or anything that needs accuracy.
Ask developers about what is like AI’s use to write a production code, and you will often hear the same message: it works well for code or boileplate, but it works more than help when it comes to complex projects. It often takes a longer time to repair the AI code than its writing than zero.
Apple’s delay may be the most intelligent play
A piece of opinion from Techradar She seized the consumer view. The author said they are happy to delay Apple out of AI, on the pretext that the current generation of artificial intelligence is not good enough. They said that we often discuss artificial intelligence back – we assume that technology is ready, and criticized companies for being very slow. But what if there is no technology yet? Apple’s delay may not be a defect; It may be the only rational step.
Apple seems to be aware of this, which makes a lot of noise about “excited” by artificial intelligence, but it has not been forced into every product, which immerses iOS with half baked tools. It is no longer that Siri will be your new work assistant, for example. Although he might talk about the capabilities, he was also calm about time tables.
Play the long game
Some may call it safely, but there is another way to look at it. Perhaps Apple is actually not actually that the current wave of artificial intelligence is ready? Perhaps it is not convinced that technology will withstand real pressure. So she sees chaos from a distance.
There is a lot of chaos to see it. Companies offer AI products that do not work as announced. Security problems, bad production, and enlarged expectations have become common. Behind the scenes, many artificial intelligence companies are burning through criticism in an attempt to make their models useful. If the bubble explodes, the Apple will say it has not reached some extent.
Wait, watch, then act
This may not be a mistake in the company’s strategy or production problems: it may be the case Be the company’s strategy.
If users are tired of artificial intelligence that does not provide, then Apple comes out smart for not jumping very quickly. If technology improves and becomes reliable, Apple can still interfere with a product that feels stable and reliable.
This type of delay in Apple has succeeded before, and it was launched only a smart watch until years after the experience of others. In the tablet market as well, this was not the market pioneer, but he ended up putting the standard once you participate.
With artificial intelligence, Apple may try the same. Let everyone test the borders, hit the walls, and suffer from the reverse reaction. Meanwhile, Apple learns from their mistakes, and avoids hurrying tools that make headlines for all wrong reasons.
No rush is required
It also helps that Apple does not need the same noise to survive. It already controls the devices, operating system and application store. Artificial intelligence can be presented when he wants, and how he wants, without chasing the investor’s attention.
Of course, there is always a risk of waiting for a long time. If artificial intelligence tools become reliable and useful in all fields, Apple may miss this shift, but so far, this transformation has not occurred, as there are still tools struggling with accuracy, differences and consistency.
Get it properly beats first
So Apple may be right to wait. Perhaps the smartest step in this noise cycle is to do less.
“If Apple’s slow and cautious Amnesty is leading to something actually useful, then this is a victory,” says Techradar. And if not? At least, Apple did not send the random mail to the market with tools that waste the time of everyone.
In a technical cycle full of broken promises and immovable products, not to do anything may be the most daring step that Apple can make.
(Photography Appshunter.io)
See also: Apple loses the main AI leader in Meta
Do you want to learn more about artificial intelligence and large data from industry leaders? Check AI and Big Data Expo, which is held in Amsterdam, California, and London. The comprehensive event was identified with other leading events including the smart automation conference, Blockx, the digital transformation week, and the Cyber Security & Cloud.
Explore the upcoming web events and seminars with which Techforge works here.
Don’t miss more hot News like this! Click here to discover the latest in AI news!
2025-07-21 07:54:00