Large language models (LLMs) trained on more text will generally be superior to an LLM with less. As a result, expect publishers with valuable text content to become a licensing battleground for LLM makers and for language acquisition costs (LAC) to become a real expense. Google is said to pay $15B per year to be the default search engine on Apple devices. These traffic acquisition costs (TAC) are in aggregate over $50B a year for Google -- but the exclusivity gained is critical for Google to cement its search lead. With the battle for large language model (LLM) supremacy underway, exclusive access to language/text will also become critical.

AI investment activity continues to slow down in Q3'22, with quarterly funding and deals dropping to 8-quarter lows. Global AI funding fell 31% quarter-over-quarter (QoQ) to hit $8.3B -- its lowest level since Q3'20. Deals also dropped for the second consecutive quarter, falling 11% QoQ to 672. In line with this trend, $100M mega-rounds accounted for their smallest share of AI funding (40%) since Q2'20. Q3'22 highlights across the AI ecosystem include: Download our Q3'22 State of AI Report to learn more about all these trends and more.

The Advanced Manufacturing 50 is CB Insights' annual list of the 50 most promising private advanced manufacturing companies in the world. This year's inaugural winners cover everything from factory analytics & artificial intelligence (AI) to industrial internet of things (IIoT) cybersecurity. CB Insights has unveiled the winners of the first annual Advanced Manufacturing 50 -- a list of the top private advanced manufacturing companies working to promote faster, safer, more efficient, and more sustainable R&D and production. Some of this year's winners aim to provide robotic systems to help manufacturers increase productivity and reduce labor costs. Others are developing advanced analytics that will allow manufacturers to maximize the efficiency and quality of their processes, systems, equipment, and more.

The AI 100 is CB Insights' annual list of the 100 most promising private AI companies in the world. This year's winners are working on diverse solutions designed to recycle plastic waste, improve hearing aids, combat toxic online gaming behavior, and more. CB Insights has unveiled the winners of the sixth annual AI 100 -- a list of the 100 most promising private AI companies across the globe. Some of this year's winners are advancing the development and use of artificial intelligence (AI) across specific industries -- such as healthcare, gaming, and agriculture. On the other hand, some are developing applications to support sales, engineering design, cybersecurity, and other functions across a wide range of industries.

In April 2021, CB Insights announced our fifth annual AI 100 -- a list of the 100 most promising AI startups across the globe. We take a look at where these companies are now. In 2021, CBI analysts parsed through over 8,000 AI startups to determine the 100 most promising private AI companies. The winning cohort worked on a wide array of applications, from drug R&D and hospital revenue cycle management to autonomous beekeeping and municipal waste sortation -- highlighting the breadth and depth of AI's impact across industries. Get an excel file with the entire AI 100 list including each company's total funding, focus area, and more.

AI startups notched another big quarter in a record-breaking year for global funding, mega-rounds, unicorns, exits, and more. Q3'21 brought AI private market activity to dizzying levels. In our State Of AI Q3'21 Report, we dig into global investment trends to spotlight takeaways like: See which corporations are actively acquiring AI startups, including the financial services player that made the biggest purchase of the quarter. Get the details on the most valuable private AI companies in the world. See which regions and sectors are minting billion-dollar startups.

From automating the creation of personalized videos to enabling new virtual customer experiences, these companies are deploying AI to help brands and retailers create engaging digital content. Brands and retailers are relying more and more on digital content -- which can range from product images for e-commerce sites to virtual try-on features to online videos -- to increase brand awareness, convert online shoppers, and boost loyalty. Video content is gaining particular momentum, with the number of times execs have mentioned the term during earnings calls shooting up in Q2'21. But given these ever-growing digital content needs, a trend accelerated by the Covid-19 pandemic, conventional production approaches may not be sufficient for brands and retailers to deliver personalized and engaging content at scale. Enter synthetic media -- images, videos, sounds, or any other form of content that has been generated, edited, or enabled by artificial intelligence.

From shopper emotion detection to in-store robotic warehouses, we highlight the technologies and trends bringing retail stores into the future. The year is 2030, and you're going to the store. Before you enter, you receive a text message from a store employee: the shirt you reserved is waiting for you. Once you get inside, maybe you spot a robot ferrying around candy bars, or you walk under a flying in-store drone. Or maybe what stands out to you is what you don't see: cashiers and checkout lines.

Businesses will prioritize building AI technologies that can interpret and respond to human emotions as they look to connect with consumers. Over the last decade, artificial intelligence has gone from buzzword to a must-have business competence. From retail to healthcare to financial services, AI is penetrating nearly every industry, with advances in deep learning, computer vision, and more paving the way. Download our full report to find out the top trends poised to reshape industries in 2021. AI, though, has largely been challenged when it comes to recognizing and reacting to human emotion. In fact, the AI Now Institute at New York University called for a ban on the use of emotion recognition tech "in important decisions that impact people's lives and access to opportunities" in its 2019 report.

From TikTok's algorithms to personalized cancer care, artificial intelligence has applications across numerous industries. In the last 5 years, corporate interest in artificial intelligence (AI) has exploded, with company valuations in the space growing massively. AI technology has applications across numerous sectors, from training robots to personalizing shopping recommendations. Machine learning (ML) algorithms are even being trained to rapidly detect Covid-19, as well as to help physicians plan treatment. Get an excel file with the entire AI 100 list including each company's total funding, focus area, and more.