AI Insights

Google’s top AI developer makes alarming prediction for the next six months of artificial intelligence

Published

1 day ago

July 8, 2025

Google’s top AI developer makes an alarming prediction for the next six months of artificial intelligence.

Among the big tech players of Grok’s Elon Musk and OpenAI’s Sam Altman, another key player in the AI race is gaining attention.

Logan Kilpatrick might not be a household name yet, but as the face of Google‘s AI development and marketing, he’s at the centre of one of the industry’s most important battles.

At just 27 years old, Kilpatrick is responsible for Google’s AI Studio and Gemini API as head of developer relations, serving as the translator between the company’s advanced AI research and the developers who will build next-gen AI applications.

The importance of Kilpatrick’s work has grown as Google competes for existing developers but also for fresh talent in coding, given AI’s ability to lower barriers to software development.

“If you want AI to have the level of impact on humanity that I think it could have, you need to be able to provide a platform for developers in order to go and do this stuff,” he told Business Insider.

“The reality is there’s a thousand and one things that Google is never going to build, and doesn’t make sense for us to build, that developers want to build.”

Now, the AI leader has predicted what we can expect from AI in the next six months.

Taking to X this week, Kilpatrick posted: “The next 6 months of AI are likely to be the most wild we will have seen so far.”

He then followed up with some more details, writing: “Everything keeps scaling up” before specifying ‘more hardware, more model progress, more product knowledge, more AI momentum, more pmf [product-market fit]’.

We’ve seen ChatGPT explode in popularity, the abundance of realistic AI image and video generation, new AI players like DeepSeek entering the scene and AI capabilities progressing at a breakneck speed.

But according to Kilpatrick, we haven’t seen anything yet.

When asked if he was referring to any advancements for Google’s Gemini chatbot, Kilpatrick directly replied with ‘yes.’

Google’s position in the AI competition is complicated. On one hand, their latest Gemini 2.0 Pro model consistently ranks at the top of several performance leaderboards across multiple testing categories.

However, the number of Gemini users tells a different story.

Google CEO Sundar Pichai reported in May that Gemini has more than 400 million monthly active users, which sounds impressive until you compare it to ChatGPT’s 500 million weekly active users reported by Sam Altman in April.

Still, some users on social media are optimistic about the AI revolution.

“Definitely one of the most fascinating times of my life! I’m here for the ride!” one X user responded.

“We are witnessing the greatest moment of this timeline,” claimed another.

Meanwhile, others were sceptic and figured the predictions were all just hype.

“Not going to lie, the last six months were pretty disappointing,” one X user commented, while another argued: “That’s what they said a year ago”.

Someone else noted.: “To be honest, every 6 months is wilder than the last in AI.”

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AI Insights

Podcast: Training artificial intelligence – National Science Foundation (.gov)

Published

41 minutes ago

July 9, 2025

The Editors

Podcast: Training artificial intelligence National Science Foundation (.gov)

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Artificial Intelligence (A.I.) in Beauty and Cosmetics Market

Published

43 minutes ago

July 9, 2025

The Editors

The newly published report titled “Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market- By Trends, Industry Competition/Company Profiles Analysis, Revenue (US$ Billions) and Forecast Till 2034.” features in-depth analysis and an extensive study on the market, exploring its significant factors.

According to the latest market intelligence research report by InsightAce Analytic, the global Artificial Intelligence (AI) In Beauty and Cosmetics Market Size is valued at USD 4.43 Billion in 2024 and is predicted to reach USD 27.65 Billion by the year 2034 at a 20.2% CAGR during the forecast period for 2025-2034.

Request For Free Sample Pages :

https://www.insightaceanalytic.com/request-sample/1051

In recent years, the beauty and cosmetics industry has experienced a transformative shift with the growing integration of Artificial Intelligence (AI) technologies. As a highly personalized and data-rich sector, the beauty market is ideally positioned to benefit from AI-driven innovation. These advancements enable brands to make informed, data-backed decisions and adapt strategies to stay competitive in an increasingly dynamic marketplace.

Over the past decade, the industry has undergone significant change, driven by technological innovation and a marked evolution in consumer shopping behavior. As part of a broader digital transformation, leading beauty brands have adopted AI tools to offer personalized skincare solutions and customized beauty products, meeting the specific needs of individual consumers.

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Competitive Analysis:

There has been an influx of Beauty Tech implementations on the global market with the rapid expansion of the beauty and cosmetic industry. Key companies are constantly testing and launching new features with key strategic partners with innovative services, covering the market’s demands. Their focus on serving their clients’ needs, both brands and end-consumers, and the constant technological development are the key factors in boosting market growth. Companies like L’Oréal, and PROVEN, among others, have already recognized such potential and are applying A.I. in different ways. For instance, L’Oréal is implementing A.I. strategies on their business. Followed L’Oréal, by PROVEN has the largest skincare database and, with the input from the consumer, matches their data, creating unique and customized products using A.I. mechanisms.

The prominent players in the Artificial Intelligence (A.I.) in Beauty and Cosmetics

industry include:

Beiersdorf (NIVEA SKiN GUiDE), L’Oréal’s (Modiface, Hair Coach), Olay (Skin Care App), CRIXlabs (DBA Quantified Skin), Shiseido (Optune System), Procter & Gamble (Opte Wand), My Beauty Matches, Yours Skincare, EpigenCare Inc., mySkin, Haut.AI, Luna Fofo, Revieve, ANOKAI. CA., Pure & Mine, Youth Laboratories, Spruce Beauty, Nioxin, New Kinpo Group, Perfect Corp, Symrise (Philyra), Sephora USA, Inc. (Virtual Artist), Function of Beauty LLC, Estée Lauder, Coty Inc. (Rimmel), Givaudan, Beautystack and Polyfins Technology Inc and Other Prominent Players.

Key Industry Developments from Leading Players:

• In Dec 2021, Nykaa introduced L’Oréal’s advanced, Al-powered virtual try-on technology, ModiFace. Through the launch of this new technology, Company is expected to create an enhanced beauty experience for makeup enthusiasts while buying beauty products online. ModiFace technology allows photo-realistic results and AI-enabled shade calibration. The ModiFace Technology enables virtual try-on on Nykaa’s website and mobile app, helping shoppers purchase their desired beauty products across categories, starting with the L’Oréal range of products.

• In Oct 2021, PROVEN Skincare launched of $60 Billion Regulation A+ Offering. The funds are used to invest in Company’s further A.I. innovation and talent, expand domestic and global marketing strategies for its existing product line, and invest in further research and development of new product lines and categories

• In Sept 2021, Coty, Inc. announced a multi-channel partnership agreement with Perfect Corp. Through this partnership, Company plans to strengthen its offering in virtual try-ons, online skin diagnostics and data-driven personalization for brands including CoverGirl, Sally Hansen and philosophy, among others, as well as for Coty’s broad fragrance portfolio

• In June 2021, The technology division of L’Oréal, a longtime Google enterprise customer, subscribes to Google Cloud’s Vertex A.I. platform to speed up the production of its A.I. models for cosmetic services. Google’s Vertex platform enables customers to accelerate the development, deployment, and maintenance of machine learning models by unifying Google Cloud Services, machine learning systems, and machine learning operations (MLOps) under one user interface and API.

• In Jun 2021, LVMH and Google Cloud collaborated on cloud-based A.I. solutions to create new, personalized customer experiences that foster long-term growth. Through this collaboration, the Company is anticipated to augment demand forecasting and inventory optimization, support inclusive upskilling and certification programs for employees, and elevate customer experiences through personalization.

• In June 2021, Perfect Corp. announced an integration with Google for the launch of an A.R. interactive beauty try-ons. AR-powered virtual beauty try-on experiences can help online shoppers discover and experiment with various beauty products and shades online through Google search.

• In Dec 2020, Function of Beauty received a $150 Billion strategic minority investment from L Catterton. The funds used to speed up product development, support the Company’s continuous global expansion, and expand on the Company’s already industry-leading bespoke manufacturing capabilities.

Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Regional Analysis:

North America is expected to dominate the growth of A.I. in the beauty and cosmetic market due to the expansion of the beauty and cosmetic industry and prominent e-commerce companies like Amazon and Sephora. Asia Pacific region is expected to experience the fastest growth in the global A.I. in beauty and cosmetic market due to rapidly increasing consumer spending and expansion of the e-commerce sector across the region. In emerging countries like China, India, and Japan, the beauty e-commerce space is adapting to multiple models to enhance the e-commerce shopping experience for consumers.

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https://www.insightaceanalytic.com/enquiry-before-buying/1051

The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Segments

The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates (Value US$ Billion) & Trend and Forecast Analysis, 2025 to 2034 based on Service/Product

• Personalized Recommendation Tools

• Performance Marketing Measurement Platforms

• Demand Forecasting and Supply Chain Tools

• Real-time Customer Service Platforms

• AI-based Beauty Devices

The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates (Value US$ Billion) & Trend and Forecast Analysis, 2025 to 2034 based on Application

• Skincare

• Haircare

• Make-up

• Fragrances

• Others

The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates (Value US$ Billion) & Trend and Forecast Analysis, 2025 to 2034 based on Region

• Europe

• North America

• Latin America

• Asia Pacific

• Middle East & Africa

North America Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2025 to 2034

• U.S.

• Canada

Europe Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2025 to 2034

• Germany

• France

• Italy

• Spain

• Russia

• Rest of Europe

Asia Pacific Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2025 to 2034

• India

• China

• Japan

• South Korea

• Australia & New Zealand

Latin America Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2025 to 2034

• Brazil

• Mexico

• Rest of Latin America

The Middle East & Africa Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2025 to 2034

• GCC Countries

• South Africa

• Rest of the Middle East & Africa

Get More Information :

https://www.insightaceanalytic.com/report/global-artificial-intelligence-ai-in-beauty-and-cosmetics-market/1051

About Us:

InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain a competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets, and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.https://www.insightaceanalytic.com/images_data/148861653.JPG

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This release was published on openPR.

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AI is eating up Pennsylvania’s power, governor threatens to pull state from the grid — new plants aren’t being built fast enough to keep up with demand

Published

2 hours ago

July 9, 2025

The Editors

Artificial intelligence and the hardware that powers it, is at the heart of a fallout in Pennsylvania, where electricity prices have risen dramatically for wholesalers and consumers due to surging demand. The governor is now threatening to abandon the state’s grid energy provider, PJM Interconnection, via Reuters. He’s demanding that PJM increase energy capacity through the acceleration of new energy plant construction and approval.

Following the launch of ChatGPT in 2023 and the explosion of competitor tools and chatbots in the months that followed, the regional transmission organization, PJM, saw a surge in demand for power as major tech companies scoured the country looking for spare grid capacity to run AI and build new data centers to support them. AI can demand a lot of power, so much so that Elon Musk is shipping an entire power plant to the US.

This couldn’t have come at a worse time, as in 2022, PJM had paused new power plant connections after it faced a huge influx of applications for new renewable projects, which required more engineering oversight before they could be connected to the grid. Although PJM claims that this hasn’t led to a shortfall in supply, it has meant the grid hasn’t expanded like it was expected to. Local opposition to the construction of some of the plants that have been approved has further compounded the issue.

PJM’s power management covers 13 states in total, including Virginia, which plays host to the so-called “Data Center Alley,” a small region with the highest density of data centers in the world. It’s the huge demand from that region and elsewhere in its coverage that PJM blames on its inability to supply power at affordable rates.

Last year’s annual capacity auction for energy capacity saw prices increase by over 800%, and with an impending auction for this year, those prices are expected to rise again. It’s lead to a projected 20% rise in consumer energy prices across Pennsylvania and other PJM-covered territories this summer.

Legislators aren’t happy.

“We need speed from PJM, we need transparency from PJM and we need to keep consumer costs down with PJM,” Pennsylvania Governor Josh Shapiro told Reuters. “I think they’ve taken some steps in that direction which is really encouraging to me and we’re going to continue to work at it.”

PJM’s response to the crisis has been to cap energy prices at $325 per megawatt-day, and it has fast-tracked connections of more than 50 power projects that should help augment its existing capacity, but many of those won’t come online until the early 2030s.

Despite these aims, PJM estimates that the demand issue may only worsen. By 2030, it expects to require an additional 32 gigawatts of power capacity to meet growing demand, with over 30 of these allocated to new data center projects.

In the near term, with concerns about blackouts, the Trump administration has also ordered two oil and gas plants that were planned to close in May, to remain open through the summer.

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