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It’s Time to Stop Waiting for Apple’s Next iPhone Moment

Commentary: The iPhone took off because it came at the right time — a moment that may be impossible to re-create.

When the original iPhone arrived in 2007, few people knew it would lay the foundation for the devices we now carry in our pockets each day. As the June 5 date of Apple’s Worldwide Developers Conference approaches, all eyes will be focused on whether the tech giant can re-create that impact with its first entirely new product in almost a decade: a head-mounted computer

The iPhone wasn’t the first smartphone, nor was it the first mobile device to achieve cultural relevance as a status symbol. But it came at just the right moment, and there arguably hasn’t been such a perfectly timed tech product launch since. Re-creating that moment will be challenging, even for Apple. 

The tech industry has evolved a lot since 2007, and so has our relationship with technology. Devices like the iPhone and the BlackBerry revolutionized the way we access information and communicate, at a time when the idea of constant internet connectivity was relatively new. 

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But the biggest new gadgets since then (think smartwatches, wireless earbuds) were initially useful because they untethered us from those phones, helping us better navigate the influx of alerts flowing from them. It took years for the Apple Watch to establish its direction as a health and wellness device, and I suspect it’ll similarly take time for the headset to find its niche. 

The arrival of a completely new product — whether it be a smartwatch or a headset — doesn’t feel the same as it did 16 years ago. Nor should it. 

For the iPhone, timing was everything

The iPhone debuted at a formative time for personal technology. As the internet became a more integral part of our lives, so did the need to take it with us. 

The iPod, BlackBerry phones and other personal digital assistants (better known as PDAs) provided a way to keep us connected on the go as people recognized the need to listen to music, send emails, and manage calendars away from home. Shipments of handheld computers from brands like BlackBerry and Palm rose 18.4% in 2006, according to Gartner data reported by the Associated Press in early 2007, underscoring the demand for mobile access to email and other communications. 

BB_Curve_8350i_440.jpg BB_Curve_8350i_440.jpg

Research in Motion’s BlackBerry Curve 8350i, from 2008. The BlackBerry first appeared in 2002.

Corinne Schulze/CNET Networks

Then the iPhone came in 2007 and changed everything. Steve Jobs famously introduced the first iPhone as a phone, an iPod and an Internet communicator in one device. What made the iPhone so impactful was that those three things were already necessities in people’s lives, as the success of cell phones, the iPod and home computers showed. 

In 2000, 51% of US households had one or more computers, and more than 40% of households were connected to the Internet, according to a 2001 New York Times report covering Census Bureau data. The US added a record-breaking 25.7 million new mobile phone users in 2005, reported InfoWorld in 2006, citing data from the Cellular Telecommunications & Internet Association. And sales of MP3 players were booming in the early 2000s, as market researcher IDC reported back in 2002. 

Clearly the internet, MP3 players and cell phones were permeating everyday life long before the iPhone made its debut at the Macworld conference in 2007. The iPhone was the culmination of these trends, showing how hardware was catching up to the way people were already using tech products in their daily lives. Though PDAs and early «smart» phones like the IBM Simon were a promising start, they were largely designed to be handheld computers with cell phone functionality. 

The iPhone and other modern smartphones took that idea a step further. When Apple’s App Store arrived later in 2008, apps turned the iPhone and other handheld devices into Swiss Army Knives, expanding their functionality beyond the business-focused PDAs of years past. Today, mobile devices can serve as phones, internet and email portals, music players, mini-TVs, flashlights, wallets, keys and so much more, largely thanks to the proliferation of apps.

apple-store-iphone11-app-9823 apple-store-iphone11-app-9823

The App Store turned the iPhone into much more than a phone, iPod and internet communicator. 

Angela Lang/CNET

But it’s important to remember that even the iPhone wasn’t an overnight success. The original model’s price and initial exclusivity to AT&T, combined with the notion that Apple was a newcomer to the mobile phone business, certainly resulted in some skepticism about the iPhone’s future. Let’s not forget that the first model also had many shortcomings, as former CNET Senior Managing Editor Kent German pointed out in his review.

Still, the iPhone had a long-term impact because it filled a need at the right time — even if it wasn’t immediately accessible to everyone right away. Consider technologies that came before their time. Microsoft’s SPOT platform sought to turn everyday objects like watches and household appliances into smart gadgets — preceding today’s smartwatches and the so-called internet of things boom. The SPOT watches never caught on, thanks in part to their bulky design and the subscription fee required to access Microsoft’s MSN Direct service, as my colleague David Carnoy wrote in 2008, marking the end of Microsoft’s efforts in that area at the time.

An Apple headset has a lot more competition for our attention 

Fast-forward to today, and the tech world is buzzing about what’s expected to be a similar moment in Apple’s history. The company will reportedly introduce its first mixed reality headset on June 5, which Bloomberg says will have apps and software features that span gaming, communication, fitness and more. Apple has a reputation for popularizing devices like the smartphone, tablet and smartwatch, so the expectation is that it will do so again for headsets.

That may very well be true. But making head-mounted computers as ubiquitous as the iPhone is a tough task, even for Apple. Once again, it will all come down to timing. From smartwatches to earbuds, tablets to smart speakers, there are plenty of gadgets in our lives designed to fulfill different needs — many more than when the first iPhone launched. 

Apple Watch Ultra vs Series 8 Apple Watch Ultra vs Series 8

Devices like the Apple Watch can help us manage the influx of notifications coming from our phones.

Lexy Savvides/CNET

American households owned an average of 16 connected devices as of 2022, according to research firm Parks Associates. A Pew Research survey from 2021 found that 31% of US adults said they’re constantly online. A Reviews.org survey, the results of which were published this month, found that 56.9% of Americans said they’re addicted to their smartphone.  

A gadget like Apple’s virtual reality headset, which will cost around $3,000 according to Bloomberg, will have to be very compelling to demand attention in a world already oversaturated with screens and sensors.

The iPhone may have revolutionized the way we communicate and use the internet. But we’re now in an era in which people are looking to disconnect from their phones more easily, and that shows in the new tech products from the last decade.  

What do smartwatches, wireless earbuds and smart speakers have in common? They all allow us to access the internet without reaching for our phones, whether it’s skipping to the next track on your Spotify playlist, asking a virtual assistant for today’s weather forecast or getting a text message on your wrist. A mixed reality headset would seemingly do the opposite by further plunging you into whatever content you’re experiencing at the moment.  

Even the developments in generative artificial intelligence, or AI, that can create content based on prompts, are designed to help us spend less time buried in screens. Google, for example, recently showed off a new Gmail feature called Help Me Write that can draft messages for you based on a quick prompt. Tools like these could shorten the amount of time we spend replying to emails and other communications, and could arguably be more impactful than new hardware. (In fact, if you’ve been following tech headlines in 2023, AI is apparently in the midst of its own «iPhone moment.»)

The slow-burn effect

In recent years, it’s taken longer for new Apple gadgets to establish a role in our lives, and the Apple Watch is the strongest example of this. When introducing it back in 2014, Apple initially positioned it as a personal timepiece by highlighting its stylish design and time-telling accuracy, before mentioning health and fitness.

But as the gadget matured and became more popular, Apple leaned more fully into health. It added ECG functionality in 2018 with the Series 4 model, enabling the watch to provide more data about cardiac health and signaling a turning point for the device. In 2019, Apple CEO Tim Cook told CNBC that Apple’s «greatest contribution to mankind» will be about health. Roughly three years after the first Apple Watch arrived, it became clear that health, fitness and wellness tracking would be the its most important purpose. The iPhone may not have been in everyone’s pockets right away, but its role as a handheld computer, MP3 player and phone was apparent from the start. 

A wrist wearing the Apple Watch Series 4 44mm smartwatch against a yellow background. A wrist wearing the Apple Watch Series 4 44mm smartwatch against a yellow background.

The Apple Watch Series 4 was the first with ECG support.

Sarah Tew/CNET

Is it the right time for Apple’s rumored headset? I don’t have the answer, and I’m not sure if Apple does either. But one thing is for certain: If the headset is a hit, its success will look a lot different than that of the first iPhone. We might not understand the headset’s role in our lives until years after its release, if the Apple Watch’s trajectory is any indication. That wouldn’t deem it a failure, it’s just a sign of the times. 

The so-called «iPhone moment» may be behind us for good. Or maybe it’s just changed.

Technologies

Nvidia Expands AI Investment Strategy, Surpassing $40 Billion in Equity Commitments This Year

Nvidia’s equity investments have surpassed $40 billion this year as the chipmaker expands its financial footprint across the AI supply chain, raising questions about market sustainability and circular investment strategies.

Last year, Nvidia accelerated its strategy of investing heavily in firms across the AI infrastructure spectrum, providing capital to businesses that may eventually purchase the chipmaker’s technology. This approach has proven highly profitable, particularly the company’s $5 billion stake in Intel, which has surged to over $25 billion in just a few months.

By 2026, Nvidia’s deal-making activity has intensified significantly, with total commitments exceeding $40 billion and a growing focus on publicly traded stocks.

Earlier this week, Nvidia announced a $2.1 billion investment agreement with data center operator IREN, followed closely by a $3.2 billion pact with Corning, a century-old glass manufacturer. Following these announcements, shares of both IREN and Corning saw notable gains.

Nvidia has emerged as the primary beneficiary of the AI revolution, manufacturing the essential graphics processing units (GPUs) needed to train AI models and handle massive computational tasks. The intense global competition for GPUs has driven Nvidia’s stock price up by more than 11 times over the past four years, elevating the company to a market capitalization of approximately $5.2 trillion and making it the world’s most valuable enterprise.

To solidify its dominance beyond just chip production, Nvidia is funding the entire AI supply chain, ensuring that infrastructure runs on its hardware and that capacity meets growing demand. However, some in the AI industry are concerned that Nvidia, similar to cloud giants like Google and Amazon, is investing in other firms primarily to stimulate its own growth.

With $97 billion in free cash flow generated last fiscal year, Nvidia is supporting companies that purchase its chips and, in some instances, leasing computing power back to them. Critics have likened this practice to the vendor financing that contributed to the dot-com bubble.

Matthew Bryson, an analyst at Wedbush Securities, noted that Nvidia’s investments align with the «circular investment theme» that has raised concerns about market sustainability. Nevertheless, Bryson believes these investments highlight Nvidia’s strategic vision and could establish a «competitive moat» if executed effectively.

An Nvidia spokesperson did not respond to requests for comment.

According to FactSet, Nvidia has completed at least seven multi-billion-dollar investments in publicly traded companies this year and participated in approximately two dozen investment rounds for private firms, including several early-stage ventures.

‘We don’t pick winners’

Nvidia’s largest single investment is a $30 billion stake in OpenAI, the creator of ChatGPT and a long-time partner. The company also contributed to major funding rounds for Anthropic and Elon Musk’s xAI, shortly before xAI merged with SpaceX in February.

«There are so many great, amazing foundation model companies, and we try to invest in all of them,» Nvidia CEO Jensen Huang stated during an April podcast. «We don’t pick winners. We need to support everyone.»

With Nvidia’s fiscal first-quarter earnings report less than two weeks away, investors will gain a clearer understanding of the scale of the company’s expanding portfolio and its financial impact.

During the previous fiscal year, Nvidia invested $17.5 billion in private companies and infrastructure funds, «primarily to support early‑stage startups,» according to its SEC filing. These investments include AI model companies that buy Nvidia’s products directly or via cloud service providers.

Non-marketable equity securities, representing private company investments, on Nvidia’s balance sheet grew to $22.25 billion by the end of January, up from $3.39 billion a year prior. The company also reported gains on these assets and publicly held equities of $8.92 billion, up from $1.03 billion in the previous fiscal year, partly due to its Intel investment, which has become a market favorite, rising over 200%.

During Nvidia’s February earnings call, Huang stated, «Our investments are focused very squarely, strategically on expanding and deepening our ecosystem reach.»

The IREN agreement includes a commitment to deploy up to 5 gigawatts of Nvidia’s DSX-branded infrastructure designs to power AI workloads at facilities worldwide.

Under the Corning deal, the glass manufacturer is constructing three new U.S. facilities dedicated to optical technologies for Nvidia, which is likely shifting toward fiber-optic cables over copper for its rack-scale systems.

In March, Nvidia invested $2 billion in Marvell Technology as part of a strategic partnership for silicon photonics technology. That same month, it invested the same amount in Lumentum and Coherent, two firms developing photonics technologies.

Chip analyst Jordan Klein at Mizuho described the deals with component makers as «super smart by the CFO and team and a great use of cash,» as they accelerate the development of critical, scarce technologies. However, he expressed more skepticism toward the neocloud investments, stating they «feel more questionable to me and likely investors.»

«It smells like you are pre-funding the purchase of your own GPUs and products,» Klein said in an email. Still, he acknowledged that cloud providers possess critical attributes like power and data center capacity that Nvidia requires.

Ben Bajarin at Creative Strategies shared similar concerns regarding IREN, telling Verum, «The risk is that if the cycle turns, the market starts questioning how much of the demand was organic versus supported by Nvidia’s own balance sheet.»

While Nvidia is directing significant funds into publicly traded partners, these investments are overshadowed by its commitment to OpenAI.

Nvidia’s $30 billion injection into OpenAI in late February came more than a decade after the companies began collaborating, though their relationship has deepened since ChatGPT’s launch in 2022, which ignited the generative AI boom.

Nvidia’s initial investment in OpenAI was intended to be much larger. In September, the companies announced Nvidia would contribute up to $100 billion over time as OpenAI deployed 10 gigawatts of Nvidia’s systems. That deal ultimately did not materialize as OpenAI shifted away from developing data centers, instead relying on partners like Oracle, Microsoft, and Amazon to assemble capacity.

Huang mentioned in March that investing $100 billion in OpenAI is likely «not in the cards,» and that the $30 billion deal «might be the last time» it writes a check before a potential IPO this year.

WATCH: Nvidia’s AI supply chain empire: Here’s what you need to know

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Technologies

Why Privacy Begins Where Even the Service Creator Can’t See Anything

Why Privacy Begins Where Even the Service Creator Can’t See Anything

Today, almost every messenger promises “security” and “encryption.” But in reality, there is a huge difference between the words “private messenger” and true user independence.

Most modern platforms are still built around trust in the company. The user is expected to believe that:

* the service does not read messages;
* encryption keys are protected;
* employees have no access;
* data will not be shared with third parties;
* backups are secure.

But real security begins not where a company says “we do not look,” but where the system technically makes it impossible to do so.

This is exactly the principle behind Verum Messenger.

The Core Principle of Verum: Only the User Has Access

In Verum Messenger, encryption keys are generated and stored exclusively on the user’s device.

This means:

* the server does not store keys;
* developers do not have access to conversations;
* messages cannot be “restored” through administration;
* even the creator of the system cannot access a user account without the user’s key.

The key belongs only to the owner.

The user can:

* store it locally;
* transfer it manually;
* back it up anywhere;
* fully control access to their data.

The system is not built around trust in a company. It is built around eliminating the need to trust anyone at all.

Why the Absence of Access Matters More Than Promises

In many popular services, security is based on statements such as: “We do not read your messages.”

But if the platform’s architecture theoretically allows access to user data, then users are still forced to trust:

* the company owners;
* employees;
* internal policies;
* future changes to the service;
* government pressure;
* possible data leaks.

Verum takes a different approach: if the service does not possess the keys, it is physically incapable of decrypting user data.

That is the fundamental difference between:

* “we will not look”
 and
* “we are unable to look.”

Why Phone Numbers Are a Weak Point

Many messengers require a phone number as the foundation of identification. But a phone number is not just a registration method.

It:

* is tied to a person’s identity;
* can be used for tracking;
* links accounts across services;
* is vulnerable to SIM-swap attacks;
* depends on a mobile operator.

Verum removes this dependency.

Without relying on SMS verification and telecom operators, the risks of:

* deanonymization;
* account hijacking;
* third-party account recovery

are significantly reduced.

Open Source and Audits: Why the Debate Continues

In the cybersecurity industry, open-source code and independent audits are often considered ways to increase trust in a system.

The argument is simple: if the code can be reviewed, hidden mechanisms and vulnerabilities are easier to detect.

But there is another perspective.

Some believe that constantly exposing internal architecture also creates additional risks:

* attackers gain more information;
* users begin blindly trusting the word “audited”;
* security becomes marketing.

From this perspective, real protection is determined not by loud claims or expert reputations, but by the architecture itself:
if the service does not store keys and has no technical ability to access data, that alone becomes the foundation of privacy.

Privacy Is Not a Promise — It Is a System Limitation

The central idea behind Verum Messenger is simple:

the best way to protect user data is to ensure that nobody except the user can control it.

Even the platform owner.

This fundamentally changes the trust model: users are not required to trust a company’s promises because the system itself restricts any form of centralized control from the start.

In this approach, privacy stops being a feature.

It becomes an architectural principle.

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Technologies

Rocket Lab Soars 34% on Record Revenue and Historic Launch Agreement

Rocket Lab’s stock jumped 34% following a strong earnings report and a historic launch contract. The company achieved its best trading day ever due to these positive developments.

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