How to Use AI to Edit and Generate Stunning Photos

Photo credit: Charles Desmarais
Photo credit: Charles Desmarais
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How to Use AI to Edit and Generate Stunning Photos

Photo credit: Charles Desmarais
Photo credit: Charles Desmarais

By Brian X. Chen

Much of the hype and fears around generative AI has been about text. But there have also been rapid and dramatic developments in systems that can generate images. In many cases, these share a similar structure to text-based generative AI, but they can also be much weirder — and lend themselves to some very fun creative pursuits.

Image generators are trained on billions of images, which enable them to produce new creations that were once the sole dominion of painters and other artists. Sometimes experts can’t tell the difference between AI-created images and actual photographs (a circumstance that has fueled dangerous misinformation campaigns in addition to fun creations).

Compared to products like ChatGPT, image generating AI tools are not as well developed. They require jumping through a few more hoops and may cost a bit of money. But if you’re interested in learning the ropes there’s no better time to start.

AI Photoshop

Last week, Adobe added a generative AI feature into a beta version of Photoshop, its iconic graphics software, and creators on social networks like TikTok and Instagram have been buzzing about it ever since.

When I tested the new feature, called “generative fill,” I was impressed with how quickly and competently the AI carried out tasks that would have taken me at least an hour to do on my own. In less than five minutes and with only a few clicks, I used the feature to remove objects, add objects and swap backgrounds.

(To experiment with these tools yourself, start by signing up for a free trial of Adobe Creative Suite. Then, install the new Adobe Photoshop beta, which includes generative fill.)

Once you have Photoshop beta installed, import a photo and try these tricks:

To change a background, click the “object selection” icon (it has an arrow pointed at a box), then under the Select menu, click “inverse” to select the background. Next, click the “generative fill” box and type in a prompt — or leave it blank to let Photoshop come up with a new background concept for you.

I used these steps to edit a photo of my corgi, Max. I typed “kennel” for the prompt and clicked “generate" to replace the background.

To remove objects, use the lasso tool. In this photo of my motorcycle, I wanted to erase a tractor behind a fence in the background. I traced around the tractor, and then I clicked the “generative fill” box and hit “generate” without entering a prompt. The software correctly removed the tractor and filled in the background while leaving the fence intact.

Photo editors at The New York Times do not enhance or alter photos or generate images using artificial intelligence. But my first thought after testing generative fill was that photo editors working in other contexts, like marketing, could be soon out of work. When I shared this theory with Adobe’s chief technology officer, Ely Greenfield, he said that it might make photo editing more accessible, but he was optimistic that humans would still be needed.

“I can make really pretty images with it, but frankly, I still make boring images,” he said. “When I look at the content that artists create when you put this in their hands versus what I create, their stuff is so much more interesting because they know how to tell a story.”

I confess that what I’ve done with generative fill is far less exciting than what others have been posting on social media. Lorenzo Green, who tweets about AI, posted a collage of famous album covers, including Michael Jackson’s “Thriller” and Adele’s “21” that were expanded with generative fill. The results were quite entertaining.

(One note: If installing Photoshop feels daunting, a quicker way to test Adobe’s AI is to visit the Adobe Firefly website. There, you can open the generative fill tool, upload an image and click the “add” tool to trace around a subject, such as a dog. Then click “background” and type in a prompt like “beach.”)

More image generators

Tools like DALL-E and Midjourney can create entirely new images in seconds. They work similarly to chatbots: You type in a text prompt — the more specific, the better.

To write a quality prompt, start with the medium you’d like to emulate, followed by the subject and any extra details. For example, typing “a photograph of a cat wearing a sweater in a brightly lit room” in the DALL-E prompt box will generate it.

DALL-E, which is owned by Open AI, the maker of ChatGPT, was one of the first widely available AI image generators that was simple for people to use. For $15, you get 115 credits; one credit can be used to generate a set of four images.

Midjourney, another popular image generator, is a work in progress, so the user experience is not as polished. The service costs $10 a month, and entering prompts can be a little more complicated, because it requires joining a separate messaging app, Discord. Nonetheless, the project can create high-quality, realistic images.

To use it, join Discord and then request an invitation to the Midjourney server. After joining the server, inside the chat box, type “/imagine” followed by a prompt. I typed “/imagine a manga cover of a corgi in a ninja turtle costume” and generated a set of convincing images.

Though it’s fine to type in a basic request, some have found obscure prompts that generated exceptional results. At Columbia University, Lance Weiler is teaching students how to leverage AI, including Midjourney, to produce artwork.

Whichever tool you use, bear in mind that the onus is on you to use this tech responsibly.

Technologists warn that image generators can increase the spread of deepfakes and misinformation. But the tools can also be used in positive and constructive ways, like making family photos look better and brainstorming artistic concepts.

The New York Times



Cisco to Asharq Al-Awsat: AI Boosts Wireless Network Value in Saudi Arabia

Cisco report shows wireless networks in Saudi Arabia are no longer just connectivity infrastructure, but a driver of business growth toward 2030 (Shutterstock)
Cisco report shows wireless networks in Saudi Arabia are no longer just connectivity infrastructure, but a driver of business growth toward 2030 (Shutterstock)
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Cisco to Asharq Al-Awsat: AI Boosts Wireless Network Value in Saudi Arabia

Cisco report shows wireless networks in Saudi Arabia are no longer just connectivity infrastructure, but a driver of business growth toward 2030 (Shutterstock)
Cisco report shows wireless networks in Saudi Arabia are no longer just connectivity infrastructure, but a driver of business growth toward 2030 (Shutterstock)

A new report by Cisco shows wireless networks in Saudi Arabia are no longer just a connectivity layer. They are a direct driver of performance and growth.

The study draws on responses from 6,098 decision-makers and technical specialists across 30 markets, including 106 organizations in the Kingdom, giving its local findings added weight in tracking shifts in digital work environments.

Networks create value

The numbers point to a clear shift. More than 83% of organizations in Saudi Arabia reported improved customer engagement after investing in wireless networks, while 78% saw gains in operational efficiency. Some 75% cited higher employee productivity, and 67% reported a positive impact on revenue.

The findings show organizations are treating wireless networks as a business driver, not a background support layer.

Tarik Al-Turki, director of solutions engineering at Cisco Saudi Arabia, said companies now expect wireless networks to do far more than connect users. They are being pushed to support artificial intelligence workloads, the Internet of Things, hybrid work, real-time collaboration, and always-on customer experiences.

Wireless networks, he said, have become a “strategic platform” that enables flexibility, innovation, and the scaling of digital services, in line with Saudi Arabia’s accelerating digital transformation.

Rising operational strain

The gains come with mounting pressure. The report highlights what Cisco calls the “AI paradox in wireless networks”, where artificial intelligence boosts returns but also raises complexity, security risks, and talent challenges.

All surveyed organizations in Saudi Arabia said wireless operations have grown more complex. Around 63% still spend most of their time fixing issues after they occur, while 86% reported visibility gaps that hinder effective Wi-Fi troubleshooting.

Al-Turki said the problem is not just scale, but how networks are run. Many organizations still rely on manual, reactive approaches, while modern wireless environments demand proactive management, AI-driven automation, and end-to-end visibility.

Modernization, he said, is not only about spending more, but about rethinking how networks are managed.

Security risks escalate

Security is a major concern. In Saudi Arabia, 84% of organizations said they faced at least one wireless-related security incident in the past 12 months.

About 60% reported financial losses, with 51% of that group saying losses exceeded $1 million. Some 35% said breaches involving IoT or operational technology devices caused disruptions.

These figures show wireless security is no longer a theoretical risk, but a direct operational and financial threat.

Al-Turki said vulnerabilities are expanding with the growth of AI, IoT, and operational technology. More connected devices mean a wider attack surface, especially in distributed and critical environments.

He said the challenge is compounded by limited visibility, uneven security enforcement, and unmanaged or weakly protected devices. He also warned of growing concerns over automated and AI-driven cyberattacks, which increase both the speed and complexity of threats.

Traditional perimeter-based security, he said, is no longer enough. Organizations need models built on segmentation, continuous monitoring, identity-based access, and rapid response.

Talent gap widens

The talent shortage is another pressure point. The report found 91% of organizations in Saudi Arabia struggle to hire specialized wireless networking professionals.

The impact is clear. Around 40% reported higher operating costs, while another 40% cited lower morale. Some 28% said the skills gap is limiting innovation.

The report noted that many specialists are shifting toward AI and cybersecurity roles, intensifying competition for talent needed to manage modern wireless environments.

Al-Turki said the gap reflects a deeper shift. Wireless teams are no longer focused only on connectivity, but must also handle automation, security, AI-driven operations, IoT and operational technology, and user experience.

The market, he said, lacks hybrid skill sets capable of operating across these areas. More advanced organizations treat wireless expertise as a long-term strategic capability, not a narrow technical role.

AI, solution and risk

The report does not present AI only as a source of complexity. It can also reduce it, if used within a clear operating model.

Al-Turki said AI adds value by reducing manual work, improving visibility, and shifting teams from reactive fixes to proactive management. That includes earlier detection of issues, faster root-cause analysis, improved network performance, and actionable insights before users are affected.

This matters given that 63% of organizations still rely on reactive processes, while 86% face visibility gaps.

Returns depend on execution

Al-Turki warned that adopting AI without a clear model can backfire, creating more tools, alerts, and complexity.

The report suggests AI’s value lies in how it is used, not simply in deploying it. Poor integration can turn a tool meant to simplify operations into a source of noise.

He said simplifying operations, strengthening security, and building skills are interconnected priorities that must move together.

The broader picture is clear. Wireless investments are delivering gains in engagement, efficiency, productivity, and revenue, but environments are becoming harder to manage, more exposed to risk, and more dependent on specialized skills.

Returns, the report shows, depend not just on connectivity and speed, but on an organization’s ability to turn wireless infrastructure into a stable, secure, and scalable platform.

In Saudi Arabia, wireless networks now underpin connected work environments, AI applications, IoT systems, and customer-facing digital services. They have moved from technical infrastructure to a core driver of performance.

But the report makes clear that deployment alone is not enough. Organizations must simplify operations, strengthen protection, and build the skills needed to manage networks that are now central to growth, resilience, and competitiveness.


Ericsson Lags Profit Expectations as AI Demand Drives Up Chip Costs

FILE PHOTO: A woman walks across the logo of Ericsson at the ongoing India Mobile Congress 2025 at Yashobhoomi, a convention and expo center in New Delhi, India, October 8, 2025. REUTERS/Anushree Fadnavis/File Photo
FILE PHOTO: A woman walks across the logo of Ericsson at the ongoing India Mobile Congress 2025 at Yashobhoomi, a convention and expo center in New Delhi, India, October 8, 2025. REUTERS/Anushree Fadnavis/File Photo
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Ericsson Lags Profit Expectations as AI Demand Drives Up Chip Costs

FILE PHOTO: A woman walks across the logo of Ericsson at the ongoing India Mobile Congress 2025 at Yashobhoomi, a convention and expo center in New Delhi, India, October 8, 2025. REUTERS/Anushree Fadnavis/File Photo
FILE PHOTO: A woman walks across the logo of Ericsson at the ongoing India Mobile Congress 2025 at Yashobhoomi, a convention and expo center in New Delhi, India, October 8, 2025. REUTERS/Anushree Fadnavis/File Photo

Sweden's Ericsson reported a first-quarter core profit that slightly missed market expectations on Friday, citing increasing chip costs caused by artificial intelligence demand and a sales slowdown in North America.

The network equipment maker is facing rising input costs partially due to high demand for AI technology that is driving up prices of semiconductors, CEO Börje Ekholm said in a statement.

"We are working ⁠together with our ⁠suppliers to mitigate this. But also, we will need to work with our customers to share the burden on this," finance chief Lars Sandström added in an interview with Reuters.

The company reported an adjusted operating profit of 5.2 billion Swedish ⁠crowns ($566 million), excluding restructuring charges, for the first quarter of 2026. Analysts polled by Infront were expecting 5.4 billion crowns on average.

Ericsson, one of the main Western suppliers of network equipment alongside Finland's Nokia, is betting heavily on the US market even as transatlantic ties have become strained under President Donald Trump's rule.

The Swedish group has significant exposure to the United States, especially after winning a $14 ⁠billion ⁠deal with operator AT&T in 2023, which could help outweigh slower telecoms investments in other markets.

Sandström said sales in North America fell by a mid-single-digit percentage in the quarter, compared to a strong year-ago period that was boosted by tariff-related demand. Underlying market conditions in the region remain solid, he added.

The group reported quarterly net sales of 49.3 billion crowns, compared with an Infront poll estimate of 50.7 billion crowns.


EU: Google Should Allow Third-party Search Engines Access to Data

FILE PHOTO: Google's logo during the CERAWeek energy conference 2026 in Houston, Texas, US, March 24, 2026. REUTERS/Danielle Villasana/File Photo
FILE PHOTO: Google's logo during the CERAWeek energy conference 2026 in Houston, Texas, US, March 24, 2026. REUTERS/Danielle Villasana/File Photo
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EU: Google Should Allow Third-party Search Engines Access to Data

FILE PHOTO: Google's logo during the CERAWeek energy conference 2026 in Houston, Texas, US, March 24, 2026. REUTERS/Danielle Villasana/File Photo
FILE PHOTO: Google's logo during the CERAWeek energy conference 2026 in Houston, Texas, US, March 24, 2026. REUTERS/Danielle Villasana/File Photo

The European Commission has sent preliminary findings to Google on proposed measures to comply with the EU's Digital Markets Act, which would allow third-party search engines to access Google search data, including ⁠that of artificial ⁠intelligence chatbots with search functionalities, the commission said on Thursday.

Interested parties have until May ⁠1 to submit their views on the proposed measures, with a final decision to be made in July.

Google, the world's most popular search engine, was charged in March 2025 with ⁠breaching ⁠the Digital Markets Act. It has made its own proposals to mollify rivals and EU regulators, but rivals have complained the measures were insufficient.