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A gamer uses a computer powered with an Nvidia Corp. chip at the Gamescon video games trade fair in Cologne, Germany, on Wednesday, Aug. 23, 2023. Gamescon runs until Sunday, Aug. 27. Photographer: Alex Kraus/Bloomberg via Getty Images

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It’s not just human life that will be remade by the rapid advance in generative artificial intelligence. NPCs (non-playable characters), the figures who populate generated worlds in video games but have to date largely run on limited scripts — think the proprietor of the store you enter — are being tested as one of the first core gaming aspects where AI can improve gameplay and immersiveness. A recent partnership between Microsoft Xbox and Inworld AI is a prime example.

Better dialogue is just the first step. “We’re creating the tech that allows NPCs to evolve beyond predefined roles, adapt to player behavior, learn from interactions, and contribute to a living, breathing game world,” said Kylan Gibbs, chief product officer and co-founder of Inworld AI. “AI NPCs are not just a technological leap. They’re a paradigm shift for player engagement.”

It’s also a big opportunity for the gaming companies and game developers. Shifting from scripted dialogue to dynamic player-driven narratives will increase immersion in a way that drives replayability, retention, and revenue.

The interaction between powerful chips and gaming has for years been part of the success story at Nvidia, but there is now a clear sense in the gaming industry that it is just beginning to get to the point where AI will take off, after some initial uncertainty

“All developers are interested in how artificial intelligence can impact game development process,” John Spitzer, vice president of developer and performance technology at Nvidia, recently told CNBC, and he cited powering non-playable characters as a key test case. 

We'll be working on how to power non-player characters using AI in gaming, Nvidia says

It’s always been true that technological limits and possibilities overdetermine the gaming worlds developers can create. The technology behind AI NPCs, Gibbs says, will become a catalyst for a new era of storytelling, creative expression, and innovative gameplay. But much of what is to come will be “games we have yet to imagine,” he said.

Bing Gordon, an Inworld advisor and former chief creative officer at Electronic Arts, said the biggest advancements in gaming in recent decades have been through improvements in visual fidelity and graphics. Gordon, who is now chief product officer at venture capital firm Kleiner Perkins and serves on the board of gaming company Take-Two Interactive, believes AI will remake the world of both the gamer and game designer.

“AI will enable truly immersive worlds and sophisticated narratives that put players at the center of the fantasy,” Gordon said. “Moreover, AI that influences fundamental game mechanics has the potential to increase engagement and draw players deeper into your game.”  

The first big opportunity for gen AI may be in gaming production. “That’s where we expect to see a major impact first,” said Anders Christofferson, a partner within Bain & Company’s media & entertainment practice.

In other professional tasks, such as creating presentations using software like PowerPoint and first drafts of speeches, gen AI is already doing days of work in minutes. Initial storyboard design and NPC dialogue creation are made for gen AI, and that will free up developer time to focus on the more immersive and creative parts of game making, Christofferson said.

Creating unpredictable worlds

A recent Bain study noted that AI is already taking on some tasks, including preproduction and planning out of game content. Soon it will play a larger role in developing characters, dialogue, and environments. Gaming executives, Bain’s research shows, expect AI to manage more than half of game development within five years to a decade. This may not lead to lower production costs — blockbuster games can run up total development costs of $1 billion — but AI will allow games to be delivered more quickly, and with enhanced quality.

Ultimately, the proliferation of gen AI should allow the development process of games to include the average gamer in content creation. This means that more games will offer what Christofferson calls a “create mode” allowing for increased user-generated content — Gibbs referred to it as “player-driven narratives.” 

The current human talent shortage, a labor issue that exists across the software engineering space, isn’t something AI will solve in the short-term. But it may free developers up to put more time into creative tasks and learn how best to use the new technology as they experiment. A recent CNBC study found that across the labor force, 72% of workers who use AI say it makes them more productive, consistent with research Microsoft has conducted on the impact of its Copilot AI in the workplace.

“GenAI is very nascent in gaming and the emerging landscape of players, services, etc. is very dynamic – changing by the day,” Christofferson said. “As with any emerging technologies, we expect lots of learning to take place regarding GenAI over the next few years.”

Given how much change is taking place in gaming, it may simply be too difficult to forecast AI’s scale at the moment, says Julian Togelius, associate professor of computer science and engineering at New York University. He summed up the current state of AI implementation as a “medium-size deal.”

“In the game development process, generative AI is already in use by lots of people. Programmers use Copilot and ChatGPT to help them write code, concept artists experiment with Stable Diffusion and Midjourney, and so on,” said Togelius. “There is also a big interest in automated game testing and other forms of AI-augmented QA,” he added. 

Generative AI will change the nature of many of our games in the future, says Take-Two Interactive CEO

The Microsoft and Inworld partnership will test two of the key AI implications in the video game industry: design-time and assistance with narrative generation. If a game has thousands of NPCs in it, having AI generate individual backstories for each of them can save enormous development time — and having generative AI working while players interact with NPCs could also enhance gameplay.

The latter will be trickier to achieve, Togelius said. “I think this is much harder to get right, partly because of the well-known hallucination issues of LLMs, and partly because games are not designed for this,” he said. 

Hallucinations occur when large language models (LLMs) generate responses that deviate from context or rational meaning — they speak nonsensically but grammatically, about things that don’t make sense or have any relation to the given context. “Video games are designed for predictable, hand-crafted NPCs that don’t veer off script and start talking about things that don’t exist in the game world,” Togelius said.

Traditionally, NPCs behave in predictable ways that have been hand-authored by a designer or design team. Predictability, in fact, is a core tenant of the video game world and its design process. Open-ended games are thrilling because of their sense of infinite possibility, but to function reliably there is great control and predictability built into them. Unpredictability in the gaming world is a new realm, and could be a barrier to having AI gain wider use. Working out this balance will be a key to moving forward with AI.

“I think we are going to see modern AI in more and more places in games and game development very soon,” Togelius said. “And we will need new designs that work with the strengths and weaknesses of generative AI.”

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Google hires Windsurf CEO Varun Mohan, others in latest AI talent deal

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Google hires Windsurf CEO Varun Mohan, others in latest AI talent deal

Chief executive officer of Google Sundar Pichai.

Marek Antoni Iwanczuk | Sopa Images | Lightrocket | Getty Images

Google on Friday made the latest a splash in the AI talent wars, announcing an agreement to bring in Varun Mohan, co-founder and CEO of artificial intelligence coding startup Windsurf.

As part of the deal, Google will also hire other senior Windsurf research and development employees. Google is not investing in Windsurf, but the search giant will take a nonexclusive license to certain Windsurf technology, according to a person familiar with the matter. Windsurf remains free to license its technology to others.

“We’re excited to welcome some top AI coding talent from Windsurf’s team to Google DeepMind to advance our work in agentic coding,” a Google spokesperson wrote in an email. “We’re excited to continue bringing the benefits of Gemini to software developers everywhere.”

The deal between Google and Windsurf comes after the AI coding startup had been in talks with OpenAI for a $3 billion acquisition deal, CNBC reported in April. OpenAI did not immediately respond to a request for comment.

The move ratchets up the talent war in AI particularly among prominent companies. Meta has made lucrative job offers to several employees at OpenAI in recent weeks. Most notably, the Facebook parent added Scale AI founder Alexandr Wang to lead its AI strategy as part of a $14.3 billion investment into his startup. 

Douglas Chen, another Windsurf co-founder, will be among those joining Google in the deal, Jeff Wang, the startup’s new interim CEO and its head of business for the past two years, wrote in a post on X.

“Most of Windsurf’s world-class team will continue to build the Windsurf product with the goal of maximizing its impact in the enterprise,” Wang wrote.

Windsurf has become more popular this year as an option for so-called vibe coding, which is the process of using new age AI tools to write code. Developers and non-developers have embraced the concept, leading to more revenue for Windsurf and competitors, such as Cursor, which OpenAI also looked at buying. All the interest has led investors to assign higher valuations to the startups.

This isn’t the first time Google has hired select people out of a startup. It did the same with Character.AI last summer. Amazon and Microsoft have also absorbed AI talent in this fashion, with the Adept and Inflection deals, respectively.

Microsoft is pushing an agent mode in its Visual Studio Code editor for vibe coding. In April, Microsoft CEO Satya Nadella said AI is composing as much of 30% of his company’s code.

The Verge reported the Google-Windsurf deal earlier on Friday.

WATCH: Google pushes “AI Mode” on homepage

Google pushes "AI Mode" on homepage

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Nvidia’s Jensen Huang sells more than $36 million in stock, catches Warren Buffett in net worth

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Nvidia's Jensen Huang sells more than  million in stock, catches Warren Buffett in net worth

Jensen Huang, CEO of Nvidia, holds a motherboard as he speaks during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, on June 11, 2025.

Gonzalo Fuentes | Reuters

Nvidia CEO Jensen Huang unloaded roughly $36.4 million worth of stock in the leading artificial intelligence chipmaker, according to a U.S. Securities and Exchange Commission filing.

The sale, which totals 225,000 shares, comes as part of Huang’s previously adopted plan in March to unload up to 6 million shares of Nvidia through the end of the year. He sold his first batch of stock from the agreement in June, equaling about $15 million.

Last year, the tech executive sold about $700 million worth of shares as part of a prearranged plan. Nvidia stock climbed about 1% Friday.

Huang’s net worth has skyrocketed as investors bet on Nvidia’s AI dominance and graphics processing units powering large language models.

The 62-year-old’s wealth has grown by more than a quarter, or about $29 billion, since the start of 2025 alone, based on Bloomberg’s Billionaires Index. His net worth last stood at $143 billion in the index, putting him neck-and-neck with Berkshire Hathaway‘s Warren Buffett at $144 billion.

Shortly after the market opened Friday, Fortune‘s analysis of net worth had Huang ahead of Buffett, with the Nvidia CEO at $143.7 billion and the Oracle of Omaha at $142.1 billion.

Read more CNBC tech news

The company has also achieved its own notable milestones this year, as it prospers off the AI boom.

On Wednesday, the Santa Clara, California-based chipmaker became the first company to top a $4 trillion market capitalization, beating out both Microsoft and Apple. The chipmaker closed above that milestone Thursday as CNBC reported that the technology titan met with President Donald Trump.

Brooke Seawell, venture partner at New Enterprise Associates, sold about $24 million worth of Nvidia shares, according to an SEC filing. Seawell has been on the company’s board since 1997, according to the company.

Huang still holds more than 858 million shares of Nvidia, both directly and indirectly, in different partnerships and trusts.

WATCH: Nvidia hits $4 trillion in market cap milestone despite curbs on chip exports

Nvidia hits $4 trillion in market cap milestone despite curbs on chip exports

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Tesla to officially launch in India with planned showroom opening

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Tesla to officially launch in India with planned showroom opening

Elon Musk meets with Indian Prime Minister Narendra Modi at Blair House in Washington DC, USA on February 13, 2025.

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Tesla will open a showroom in Mumbai, India next week, marking the U.S. electric carmakers first official foray into the country.

The one and a half hour launch event for the Tesla “Experience Center” will take place on July 15 at the Maker Maxity Mall in Bandra Kurla Complex in Mumbai, according to an event invitation seen by CNBC.

Along with the showroom display, which will feature the company’s cars, Tesla is also likely to officially launch direct sales to Indian customers.

The automaker has had its eye on India for a while and now appears to have stepped up efforts to launch locally.

In April, Tesla boss Elon Musk spoke with Indian Prime Minister Narendra Modi to discuss collaboration in areas including technology and innovation. That same month, the EV-maker’s finance chief said the company has been “very careful” in trying to figure out when to enter the market.

Tesla has no manufacturing operations in India, even though the country’s government is likely keen for the company to establish a factory. Instead the cars sold in India will need to be imported from Tesla’s other manufacturing locations in places like Shanghai, China, and Berlin, Germany.

As Tesla begins sales in India, it will come up against challenges from long-time Chinese rival BYD, as well as local player Tata Motors.

One potential challenge for Tesla comes by way of India’s import duties on electric vehicles, which stand at around 70%. India has tried to entice investment in the country by offering companies a reduced duty of 15% if they commit to invest $500 million and set up manufacturing locally.

HD Kumaraswamy, India’s minister for heavy industries, told reporters in June that Tesla is “not interested” in manufacturing in the country, according to a Reuters report.

Tesla is looking to recruit roles in Mumbai, job listings posted on LinkedIn . These include advisors working in showrooms, security, vehicle operators to collect data for its Autopilot feature and service technicians.

There are also roles being advertised in the Indian capital of New Delhi, including for store managers. It’s unclear if Tesla is planning to launch a showroom in the city.

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