AI Research
How artificial intelligence is reprogramming the future of games
Artificial intelligence has been transforming the world in recent years across nearly every field, from medicine and education to transportation, finance, design, and art. In the gaming industry, one of the most creative and fastest-growing sectors, it is driving profound change: it’s no longer just about advanced graphics or new combat mechanics, but about a sweeping revolution that brings intelligent characters, real-time story generation, and personalized experiences that reshape the relationship between player and game.
AI not only upgrades the look of characters and generates new worlds, it is also changing workflows, transforming business models, and, most importantly, creating a more personalized and complex gaming experience than ever before.
A 2022 Deloitte report showed that more than 70% of large game development companies had already set up dedicated AI teams working across departments. These teams are responsible for developing and implementing AI technologies while overseeing internal governance and quality control.
Ubisoft, for example, uses Ghostwriter to write initial dialogue for NPCs (non-player characters), saving the writing team hundreds of hours and freeing them to craft richer, more complex storylines. EA, for its part, uses AI models to detect bugs and test game balance, dramatically shortening testing cycles while maintaining product stability over time.
This trend is also evident in Israel. Uri Rubin, CTO at Playtika, says the company is adapting its operations to meet new realities. “One of the best examples is moving an independent business unit (studio) into the technology division,” he says. “Changing an organizational culture that has existed for years requires external momentum, and that’s exactly what AI provides. The idea is to break out of the traditional structure where the studio and technology teams work separately, and instead combine forces with a shared focus. For the first time, teams are working together toward one goal.”
Rubin notes that integrating AI into the studio’s workflows allows the company to deliver more precise and efficient solutions: “This change ensures that the studio and technology teams stay aligned and focused on shared tasks. We’re learning as we go and believe that if this transformation succeeds, we can replicate it across other units.”
According to Shahar Sorek, CMO at Overwolf, “Every department in the company already uses AI. In my department alone, we rely on at least ten different tools daily – for design, writing, video editing, supporting internal workflows, and even accelerating coding. These tools let us work at a much larger scale.”
However, Sorek stresses that adopting AI requires extra caution for sensitive tasks, especially those involving a product’s core elements. “The more critical the product, like the code, game engine, or sensitive data, the more carefully you need to introduce AI. After all, it’s not your own tool, it’s not built in-house, and you can’t always know where your exposed data might end up or how it could be used.”
Despite the enormous savings in time and resources, Sorek insists the new technology does not come at the expense of human workers. “I’m not laying people off,” he clarifies. “The more complex the product, the more people you still need.”
“Technology isn’t going to replace people, it’s going to upgrade them,” Rubin adds. “We’ll always need the human factor on every team, but at the same time, AI will play a significant role in informing decisions. AI will handle tedious, repetitive tasks and free up teams for creativity, critical thinking, and faster, more dynamic decision-making.”
Where the industry once focused on linear, fixed, and predefined games, AI is now making gameplay dynamic, multi-layered, and deeply personal. There are already plenty of examples that show how far the technology has come.
In Minecraft, for instance, the world’s best-selling game, modding communities (independent developers who expand the base game) have created AI-powered add-ons that let players generate entire worlds automatically. The player simply enters a short description, for example, “a medieval-style underground dungeon with traps and rare creatures,” and the system builds it in minutes, complete with enemies, quests, hidden items, and surprises. Such add-ons have become especially popular on private servers, where developers craft unique adventures for each player or group.
There’s also been a major leap in NPC technology. Inworld AI, an American company, has developed a platform for creating interactive characters that understand context, retain memory, and can hold complex conversations with players. These characters learn player behavior and adapt their responses in real time, expressing emotions, responding with humor or anger, and maintaining a history of interactions so players can enjoy long, playful exchanges or even philosophical debates.
Ubisoft has also integrated characters whose shifting personalities affect how the entire game unfolds: if a player chooses a violent approach with an NPC, the game opens new subplots that can change the ending entirely.
CD Projekt Red, the developer behind Cyberpunk 2077, is experimenting with AI systems that track players’ play styles over time. If a player often helps weaker characters, the game will offer more emotional and layered plots; if they play aggressively, it will unlock storylines packed with battles and challenges.
“The goal is for every player to ultimately have an experience tailored to their preferences and play style,” says Rubin. “AI will help us produce far more content, giving players a richer, more personalized experience.”
Sorek believes the next big leap will be full-game generation, an AI engine that receives a general prompt and builds an entire custom game. “The AI will learn who you are, what you like, and generate a game for you as you play,” he says. “Of course, there are still challenges, games are complex, both visually and emotionally. The AI isn’t quite there yet, but we’re getting closer. New companies are already developing AI that can manage interactions, build mini-games, and even run entire game engines.”
AI Research
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A mystery interstellar object spotted last week by astronomers could be the oldest comet ever seen, according to scientists.
Named 3I/Atlas, it may be three billion years older than our own solar system, suggests the team from Oxford university.
It is only the third time we have detected an object that has come from beyond our solar system.
The preliminary findings were presented on Friday at the national meeting of the UK’s Royal Astronomical Society in Durham.
“We’re all very excited by 3I/Atlas,” University of Oxford astronomer Matthew Hopkins told BBC News. He had just finished his PhD studies when the object was discovered.
He says it could be more than seven billion years old, and it may be the most remarkable interstellar visitor yet.
3I/Atlas was first spotted on 1 July 2025 by the ATLAS survey telescope in Chile, when it was about 670 million km from the Sun.
Since then astronomers around the world have been racing to identify its path and discover more details about it.
Mr Hopkins believes it originated in the Milky Way’s ‘thick disk’. This is a group of ancient stars that orbit above and below the area where the Sun and most stars are located.
The team believe that because 3I/ATLAS probably formed around an old star, it is made up of a lot of water ice.
That means that as it approaches the Sun later this year, the energy from the Sun will heat the object’s surface, leading to blazes of vapour and dust.
That could create a glowing tail.
The researchers made their findings using a model developed by Mr Hopkins.
“This is an object from a part of the galaxy we’ve never seen up close before,” said Professor Chris Lintott, co-author of the study.
“We think there’s a two-thirds chance this comet is older than the solar system, and that it’s been drifting through interstellar space ever since.”
Later this year, 3I/ATLAS should be visible from Earth using amateur telescopes.
Before 3I/Atlas soared into view, just two others had been seen. One was called 1I/’Oumuamua, found in 2017 and another called 2I/Borisov, discovered in 2019.
Astronomers globally are currently gearing up to start using a new, very powerful telescope in Chile, called the Vera C Rubin.
When it starts fully surveying the southern night sky later this year, scientists expect that it could discover between 5 and 50 new interstellar objects.
C3.ai (NYSE: AI) is one of the most talked-about artificial intelligence (AI) stocks on the market today. With a platform purpose-built for enterprise customers, early traction in generative AI, and expanding partnerships with cloud and consulting giants, the company checks many of the right boxes for investors looking to gain exposure to the AI megatrend.
However, before getting swept up in the narrative, it’s worth pausing to look beneath the surface. While the company is making the right strategic moves, it’s still early — and the numbers reveal a business that has a lot more to prove.
This article will cover two red flags to keep in mind.
C3.ai has carved out a unique position as a pure-play enterprise AI platform company. It doesn’t build flashy consumer chatbots. Instead, it helps large organizations deploy AI across real-world operations — from supply chains to energy grids to battlefield logistics.
Using the C3 Agentic AI Platform, a company can quickly develop and implement AI in its operations or leverage C3 AI Applications for prebuilt applications in sectors like energy, defense, and manufacturing. Later on, enterprises can deploy C3 Generative AI to create AI agents.
By focusing on prebuilt agents and vertical-specific tools, C3.ai aims to simplify deployment and shorten the time from pilot to production. Moreover, it’s moving toward a consumption-based pricing model, allowing customers to start small and scale their usage over time — a shift that aligns incentives and could smooth out the adoption process.
In short, there’s a solid case for optimism about C3.ai’s long-term potential, especially as large enterprises’ adoption of AI picks up.
Like most growth companies, C3.ai incurs significant cash expenditures as it invests in platform development and customer acquisition. The company has been unprofitable since its inception in 2009, with accumulated losses totaling $1.4 billion as of April 30, 2025.
That’s despite years of riding a major AI tailwind. It guided for non-GAAP (adjusted) loss from operations to be around $100 million in fiscal year 26, ending April 30, 2026. While it ended the year with $743 million in cash and equivalents, that cushion could shrink quickly if the current pace of losses continues.
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