I replaced my slab phone with Motorola’s $1,900 Razr Fold – and it’s got me hooked


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pros and cons

Pros

  • Vibrant OLED screens
  • Premium design
  • Great performance and endurance
Cons

  • Pricey at $1,900
  • Only one storage configuration available

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I’ve never been the biggest fan of foldable phones. They’re fine, but I never fully understood the appeal. Are they really better than a traditional slab phone? My opinion on foldables is starting to change. I have spent the last couple of weeks testing Motorola’s new 2026 Razr Fold, its latest flagship. I’ve come away genuinely impressed, and a little tempted to buy one myself.

Also: Samsung Galaxy Z Flip 7 vs. Motorola Razr Ultra: I’ve used both, and this phone is my pick

This is a seriously good mobile device. I say it’s better than Samsung’s Galaxy Z Fold 7 on several fronts. Its battery is larger, leading to better longevity, the inner screen has a higher resolution, and the camera system is arguably superior.

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Hard to ignore

The Motorola Razr Fold sits slightly larger than the Galaxy Z Fold 7, sporting a 6.6-inch outer display and an 8.1-inch inner display. By comparison, Samsung’s model has a 6.5-inch outer screen and an 8-inch inner screen. The extra size does mean the Razr Fold is heavier at 243g, but it has little effect on the user experience. It is still an ultra-sleek phone, especially compared to foldables from previous years.

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Cesar Cadenas/ZDNET

Visually, the dual displays are top-notch. Motorola packed these AMOLED screens with a slew of visual-enhancing features. Just to highlight a few, both screens support the full DCI-P3 gamut for vibrant colors, are Pantone Validated for excellent color accuracy, boast high resolutions, and have high refresh rates, ensuring smooth animations. 

Brightness levels are noteworthy, too. Motorola rates the inner display at 6,200 nits, which cuts through outdoor glare. I never struggled to see the screen, even under direct sunlight.

Also: I’m putting Motorola above Samsung when it comes to flip phones – and won’t think twice

I spent a lot of time watching YouTube videos and streaming shows on the inner display. Colors popped off the screen, shadows looked pitch-black thanks to Dolby Vision’s high contrast, and the large size made the content feel quite immersive. 

An elegant finish

My review unit arrived in Blackened Blue. I mention the color because Motorola ties each phone color to a distinct finish. My review unit had a woven, diamond-like pattern across its back that the company calls a “piqué-inspired finish”. I don’t think this texture has a functional purpose, but it does look and feel nice. 

It gives the phone a level of elegance that helps it stand out from the sea of traditionally glass-backed mobile devices. The Razr Fold in Lily White has a more silky finish.

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Cesar Cadenas/ZDNET

The Razr Fold is also pretty durable. Its outer screen is protected by a panel made out of Corning Gorilla Glass Ceramic 3, offering strong resistance against scratches and drops. Because the inner display needs to bend, it lacks Gorilla Glass, but it is covered with a screen protector. Connecting the two halves is a stainless steel teardrop hinge. Its rigidity allows users to place the phone in various positions to suit their needs. 

You could prop the phone halfway up to watch a movie, or place the Razr Fold into tent mode and display the current date and time like a bedside clock. 

Vibrant cameras

My favorite aspect of the Razr Fold is its camera system. Motorola nailed it. On the back, the phone houses a triple-camera array consisting of a 50MP main lens with a Sony LYTIA sensor, a 50MP ultrawide camera, and a 50MP periscope telephoto lens with 3x optical zoom and up to 100x Super Zoom. Image quality is excellent across all three lenses. Photos come out sharp, vibrant, and packed with detail. Exposure and lighting are handled remarkably well.

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Rather than just describing the results, I think I should provide examples. The first image I captured inside a grocery store, displaying rows of drinks with colorful labels. The Razr Fold does a great job at reproducing the vivid colors and bright tones.

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Cesar Cadenas/ZDNET

This second image is of a lifeguard tower I took with the telephoto lens at 6x zoom. The results are surprisingly sharp. I was far away, and you can clearly read the banners. It’s even possible to make out the graffiti. Because of the clarity, the telephoto camera became my favorite of the trio. The selfie cameras aren’t as good in my opinion. 

After taking a photo with the inner-screen camera, I noticed the color balance was off. Everything had a slightly yellow tinge.

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Cesar Cadenas/ZDNET

Performance and battery

Motorola’s Razr Fold operates on a Snapdragon 8 Gen 5 chipset paired with 16GB of RAM — a solid configuration. It did well in all performance tests. For starters, I ran Geekbench CPU for Android to get a good sense of the hardware. It scored around 2,740 in the single-core test and over 9,100 in the multi-core test. 

This tells me the Razr Fold feels fast in day-to-day use and handles sustained heavy workloads, such as mobile gaming, adequately. Geekbench GPU results were equally strong, hitting an OpenCL Score of 17,713, signifying high visual fidelity.

I experienced this firsthand while playing Arknights: Endfield, a game that ran terribly on the Galaxy A37. On the Razr Fold, it ran beautifully — though, keep in mind this phone also costs roughly four times the price. Gameplay felt responsive, and combat looked striking with the large OLED panel giving attacks a lot of visual punch. Even during intense sequences, Endfield ran fine.

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Cesar Cadenas/ZDNET

You may experience the phone heating up in certain situations. I discovered this when I ran the 3DMark Wildlife Stress Test, a benchmark that replicates a heavy load. During the test, the Razr Fold became pretty toasty; its performance throttled down. It’s unlikely you’ll experience this. Very few people are stress-testing their smartphones. But it is something that you may experience under certain situations.

Also: Your Android phone is getting agentic powers with Gemini Intelligence – here’s how and when

Longevity is rock solid. I ran a couple of battery-drain tests to see how long the device lasted under continuous use. Running a nonstop YouTube livestream on the outer display, the Razr Fold lasted roughly 31 hours. I then repeated the same test using the inner display. Battery life dropped, as expected, coming up just shy of 24 hours. 

Charging speeds are fast, although you will need an 80W charger to see them. I used mine and managed to recharge the battery from 0% to 55% in just 30 minutes.

ZDNET’s buying advice

Pre-orders for the 2026 Motorola Razr Fold are live now. It is priced at $1,900 on the company’s official website and Best Buy. Buyers can choose between two colors: Pantone Blackened Blue and Lily White. The foldable officially launches on May 21.

Simply put, this is an excellent smartphone, from its high-quality screens to its awesome cameras. That said, $1,900 is still a steep asking price. If that is too much, the Samsung Galaxy Z Fold 7, which launched a little less than a year ago now, is currently on sale at Amazon.





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ZDNET’s key takeaways

  • Trusted quality data is the backbone of agentic AI.
  • Identifying high-impact workflows to assign to AI agents is key to scaling adoption.
  • Scaling agentic AI starts with rethinking how work gets done. 

Gartner forecasts that worldwide AI spending will total $2.5 trillion in 2026, a 44% year-over-year increase. Spending on AI platforms for data science and machine learning will reach $31 billion, and spending on AI data will reach $3 billion.

The global agentic AI market will reach $8.5 billion by the end of 2026 and nearly $40 billion by 2030, per Deloitte Digital. Organizations are rapidly accelerating their adoption of AI agents, with the current average utilization standing at 12 agents per organization, according to MuleSoft 2026 research. This rate is projected to increase by 67% over the next two years, reaching an average of 20 AI agents. 

Also: How to build better AI agents for your business – without creating trust issues

According to IDC, by 2026, 40% of all Global 2000 job roles will involve working with AI agents, redefining long-held traditional entry, mid, and senior level positions. But the journey will not be smooth. By 2027, companies that do not prioritize high-quality, AI-ready data will struggle to scale generative AI and agentic solutions, resulting in a 15% loss in productivity. While 2025 was the year of pilot experiments and small production deployments of agentic AI, 2026 is shaping up to be the year of scaling agentic AI. And to scale agentic AI, according to IDC’s forecast, companies will need trustworthy, accessible, and quality data. 

Scaling agentic AI adoption in business requires a strong data foundation, according to McKinsey research. Businesses can create high-impact workflows by using agents, but to do so, they must modernize their data architecture, improve data quality, and advance their operating models. 

McKinsey found that nearly two-thirds of enterprises worldwide have experimented with agents, but fewer than 10% have scaled them to deliver measurable value. The biggest obstacle to scaling agent adoption is poor data — eight in ten companies cite data limitations as a roadblock to scaling agentic AI. 

Also: AI agents are fast, loose, and out of control, MIT study finds

McKinsey identified the top data limitations as primary constraints that companies face when scaling AI, including: operating model and talent constraints, data limitations, ineffective change management, and tech platform limitations. 

Data is the backbone of agentic AI

Research shows that agentic AI needs a steady flow of high-quality, trusted data to accurately automate complex business workflows. Successful agentic AI also depends on a data architecture that can support autonomy — executing tasks without human intervention. 

Two agentic usage models are emerging: single-agent workflows (one agent using multiple tools) and multi-agent workflows (specialized agents collaborate). In each case, agents will rely on access to high-quality data. Data silos and fragmented data would lead to errors and poor agentic decision-making. 

Four steps for preparing your data 

McKinsey identified four coordinated steps that connect strategy, technology, and people in order to build strong foundational data capabilities. 

Also: Prolonged AI use can be hazardous to your health and work: 4 ways to stay safe

  1. Identify high-impact workflows to ‘agentify’. Focus on highly deterministic, repetitive tasks that deliver value as strong candidates for AI agents. 

  2. Modernize each layer of the data architecture for agents. The focus on modernization should support interoperability, easy access, and governance across systems. The vast majority of business applications do not share data across platforms. According to MuleSoft research, organizations are rapidly adopting autonomous systems. The average enterprise now manages 957 applications — rising to 1,057 for those furthest along in their agentic AI journey. Only 27% of these applications are currently connected, creating a significant challenge for IT leaders aiming to meet their near-term AI implementation goals. 

  3. Ensure that data quality is in place. Businesses must ensure that both structured and unstructured data, as well as agent-generated data, meet consistent standards for accuracy, lineage, and governance. Access to trusted data is a key obstacle. IT teams now spend an average of 36% of their time designing, building, and testing new custom integrations between systems and data. Custom work will not help scale AI adoption. The most significant obstacle to successful AI or AI agent deployment is data quality, cited as the top concern by 25% of organizations. Furthermore, almost all organizations (96%) struggle to use data from across the business for AI initiatives.  

  4. Build an operating and governance model for agentic AI. This is about rethinking how work gets done. Human roles will shift from execution to supervision and orchestration of agent-led workflows. In a hybrid work environment, governance will dictate how agents can operate autonomously in a trustworthy, transparent, and scaled manner. 

The work assigned to AI agents 

McKinsey highlighted the importance of identifying a few critical workflows that would be candidates for AI agents to own. To begin, an end-to-end workflow mapping would help identify opportunities for agentic use. McKinsey found that AI adoption is led by customer service, marketing, knowledge management, and IT. It is important to identify clear metrics that validate impact. Teams should identify the data that can be reused across tasks and workflows.

Also: These companies are actually upskilling their workers for AI – here’s how they do it

McKinsey concludes that having access to high-quality data is a strategic differentiator in the agentic AI era. Because agents will generate enormous amounts of data, data quality, lineage, and standardization will be even more important in the agentic enterprise. And as agentic systems scale, governance becomes the primary level for control. The data foundation will be the competitive advantage in the agentic era. 





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