The discourse surrounding generative AI in the creative arts is frequently characterised by a sense of historical rupture, a seismic shift unlike any that has come before. Critics often frame the emergence of Large Language Models and diffusion-based image generators as an unprecedented existential threat to the 'soul' of human expression, a black swan event that may signal the end of human creative sovereignty.
AI is not destroying professional careers - it's just helping every professional and field evolve for the next generation. AI, especially recent generative AI innovations, has started helping everyone boost their day-to-day working productivity with human-like intelligent automation. Programmers had good old days - they used to have a geeky working style with interesting planning, experimenting, designing, development, testing, and collaboration activities.
"The truth of the matter is that there's an unreleased title themed around AI, and for that specific title, a programmer mentioned they're deliberately having AI handle the programming as well," said Hino. "They used that as an example to suggest that an era like that might be coming, and that's what got blown out of proportion." "On the flip side, if they really were creating 80%-90% percent of the code with AI and successfully making games that way, it'd be incredibly impressive,"
Led by ChatGPT, the No. 1 app in the App Store this year, more than a billion people are using one of a handful of generative A.I. platforms every week. Use of these products at work is on a sharp upswing, Gallup has found. But a series of Pew surveys reveals that Americans collectively are more worried than excited, joining most of our fellow global citizens.
If you're a photographer or filmmaker who uses Adobe software, 2025 was the year that the company stopped pretending that you were the main character in its story. You became the supporting cast. That's neither an insult to you, nor shade at Adobe. But it is an honest observation that explains everything Adobe announced this year, from the genuinely useful (AI culling in Lightroom) to the bewildering (50,000 generative credits per month on the Firefly Premium plan).
Adoption is high, hype is higher, but meaningful business impact remains elusive. AI is everywhere except on the bottom line. Why this disconnect? It's not that AI technology suddenly hit a wall. The models are more powerful than ever. The problem is how companies are using AI, not what AI can or cannot do. Organizations have treated AI like just another software deployment, expecting a plug-and-play solution.
For years, the cost of using "free" services from Google, Facebook, Microsoft, and other Big Tech firms has been handing over your data. Uploading your life into the cloud and using free tech brings conveniences, but it puts personal information in the hands of giant corporations that will often be looking to monetize it. Now, the next wave of generative AI systems are likely to want more access to your data than ever before.
That "house-building" work involved in that might involve legal consulting, deciding which LLMs are suitable for a brand's needs, as well as the boring but necessary hours required to collate a brand's identity and past output into a guide or brief digestible by a generative AI tool - as well as the trial and error, red herrings and dead ends involved in testing an automated system that handles something as commercially sensitive as a brand identity.
After spending the last six years running Sunshine, a photo-sharing and contact-management startup with little success, the storied tech leader has shuttered the company to launch Dazzle, a new startup focused on building the next generation of AI personal assistants. While Mayer is not yet sharing specifics about Dazzle's functionality, she has revealed that the company has raised an $8 million seed round at a $35 million valuation.
Some users of popular chatbots are generating bikini deepfakes using photos of fully clothed women as their source material. Most of these fake images appear to be generated without the consent of the women in the photos. Some of these same users are also offering advice to others on how to use the generative AI tools to strip the clothes off of women in photos and make them appear to be wearing bikinis.
Dating apps' original pitch was to match you with anyone. "Swipe. Match. Chat. Date." That was Tinder's promise when it launched more than a decade ago, forecasting the endless cycle so many of its users now bemoan. Now they want to match you with the one. The giants in the dating space - Match Group's Hinge and Tinder, Grindr, and Bumble - are investing tens of millions into artificial intelligence, hoping to beat each other and the new AI-driven upstarts in the ultimate dating game.
That inspired Retro's team to develop an app for printing coloring book pages at home - from either your own photos or, those it provides in kid-friendly, educational categories, such as animals, space, flowers, fairy tales, robots, cars, and more. To get started with Splat, you'll take a picture or pick a photo from your Camera Roll. You can then choose what style of photo you'd like to color - such as anime, 3D movie, manga, cartoon, or comic.
The Indie Game Awards has stripped Clair Obscur: Expedition 33 of two major awards, including Game of the Year and Debut Game. This is due to developer Sandfall Interactive's use of generative AI, . This looks to be fairly cut and dry. The awards ceremony clearly states in its FAQ that any game that uses generative AI in the development process would be "strictly ineligible" for nominations. It was recently revealed that Sandfall did indeed use generative AI while making Clair Obscur.
Just when you think you've wrapped your mind around computers that can put your dog in front of the Eiffel Tower or chatbots that act like your best friend (or lover), the AI behemoths surprise you with a fully AI-powered TikTok or the ability to virtually bring back your dead relatives. I've worked in the AI space for 15 years. I served as an early beta tester for OpenAI in 2020, when I predicted that a little model called GPT-3 had world-changing potential.
The drafting and delivery of briefs, as any experienced marketer will understand, are critical steps not only in the execution of a particular project but also in cultivating a productive agency-client relationship. A properly constructed brief is more than a mere project outline: it's a declaration of unified purpose -proof that the agency and the prospective client are, in an important sense, speaking the same language and sharing the same vision.
Since launching Shorts, we've been listening closely to your feedback on how to improve the viewing experience. We've heard that you often use 'Dislike' and 'Not interested' interchangeably on Shorts, or aren't sure what the differences are. To address this, and to better match with how people typically interact with short-form video feeds today, we're experimenting with options where 'Dislike' and 'Not Interested' are merged into one 'thumbs down' icon behind the three dot menu.
The Well‑Architected Framework, long used by architects to benchmark cloud workloads against pillars such as operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability, now incorporates AI-specific guidance across these pillars. The expanded lenses reflect AWS's recognition of the increasing complexity and societal impact of AI workloads, particularly those powered by generative models.
I'm seeing more and more clients generate something approximating their desired outcome and essentially asking me to make 'something like this,' It sucks. This practice absolutely invalidates the entire creative process, in my opinion, and makes my job harder and more frustrating. The job of an illustrator or concept artist is to draw from their years of experience to interpret a brief in a creative way.
Of all the possible applications of generative AI, the value proposition of using it to write code was perhaps the clearest. Coding can be slow and it requires expertise, both of which can be expensive. Moreover, the promise that anyone who could describe their idea in plain text could create apps, features, or other value-adding products meant that innovation would no longer be limited to those with the skills to execute, but could be done by anyone with an idea.
In 2026, the pace of generative AI innovation-alongside new models for content creation, curation, and monetisation-poses profound questions about the future of publishing. Should publishers see AI as a rival reshaping audience behaviour and value chains, or as an ally enhancing efficiency, creativity, and growth? To explore this tension, ExchangeWire convened an expert panel of industry leaders spanning publishing, ad tech, and AI innovation. Together, they shared their perspectives on how the relationship between publishers and AI will evolve over the next 12 months.
According to newly released research, two-thirds of high schoolers agree or strongly agree that using AI too much could make them overly dependent on the technology or less intelligent. This data reinforces how many students feel about AI: they are curious - and cautious. For all the handwringing about an "AI-fueled decline in learning," teenagers may actually understand the stakes better than adults think. What they want are more guardrails to help them use AI responsibly and fairly, and that's where schools need to catch up, quick.
The rise of generative AI is reshaping not just how we work, but how we think. In our experience, many leaders focus on productivity in generative AI deployment. Generative AI will indeed make many tasks easier and quicker to perform, increasing efficiency and decreasing costs. But we think that one of the biggest promises of this technology lies elsewhere: in unlocking new forms of human creativity that can drive innovation and growth.
