This article is part 4 of our interim report on a turbulent 2023 in tech, startups, and venture capital. In Part 1, we looked at data and trends over the past six months. In Part 2, we shared the survey results from our readers for the rest of the year. And in Part 3, he revealed his IPO predictions for 2023.
Not only has artificial intelligence dominated the tech world throughout the first half of this year, but its use and applications have dominated almost every aspect of our lives, from employment to dating.
That’s certainly true in the world of venture capital and investing, where one huge funding round was followed by an even bigger funding round, with startups all vying to call themselves “AI-enhanced” or “AI-powered.” seems to be
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“It excites me, but it also scares me,” joked Marc Sherman, Managing Director of Telstra Ventures, about investing in the AI sector in the current environment.
“There are definitely people trying to get certain segments[of AI]that can enjoy doing something similar to what OpenAI did,” he added. “Some segments will, but others will be shown to have false momentum.”
VCs and companies have poured money into this space throughout the first half of this year, pouring heavily into generative AI platforms, supporting infrastructure, and specific AI applications in specific areas such as healthcare and biotech.
Before we dive into what the second half of 2023 will bring, let’s take a quick look at the big things happening in AI in the first half of the year.
first half
AI certainly started booming late last year, but start-ups like San Francisco-based AI video and audio editing tool Descript and Austin, Texas-based AI content platform Jasper have raised a lot of money. That craze reached a new level with OpenAI when it raised .
News swirled in January that OpenAI, maker of artificial intelligence tools ChatGPT and DALL-E, could be valued at $29 billion in a new public tender offer. By the end of the month, Microsoft confirmed that it had agreed to a “multi-year, multi-billion dollar investment” in OpenAI, estimated to be around $10 billion.
It was just the beginning. San Francisco-based Adept AI raised a $350 million Series B in March with a post-money valuation of at least $1 billion. And Anthropic (his ChatGPT rival with AI assistant Claude) raised $450 million in Series C, reportedly valuing the company at $5 billion in May. .
Finally, in late June, “personal AI” startup Inflection AI landed a massive $1.3 billion round led by Microsoft, Reed Hoffman, Bill Gates, Eric Schmidt and new investor Nvidia. .According to Forbes, this round puts his Inflection AI at his $4 billion valuation.
These rounds are just one example of investors’ insatiable appetite for AI, as countless other startups have raised money in the space even as funding continues to plummet in nearly every other industry. I didn’t.
As the OpenAI round shows, VCs weren’t the only ones taking advantage of the new technology. Big companies like Google, Zoom Ventures, Nvidia, Oracle, Salesforce Ventures 1 and their VC arms are also pouring money into the space, demonstrating the rapid adoption of this technology.
Considering investment
Despite the AI investment onslaught, more are expected.
From new generative AI platforms to infrastructure to applications that use AI in specific areas, there are many things that investors should be passionate about and invest in.
“We are very interested in many things all around AI,” Sherman said.
Large-scale generative AI platforms such as OpenAI and Anthropic have been an area of investment for large and large corporations, but many see opportunity in the infrastructure layers that support these platforms.
This layer can contain anything from chips and enhanced computing to proprietary data sets that aid in modeling.
Startups like CoreWeave, which offers GPU-accelerated computing solutions, and Pinecone, which creates vector databases, are raising billions of dollars to contribute to the foundation layers of AI.
“We’re definitely looking at a pick-me-up approach,” said Mark Edwards, chief investment officer at early-stage investment firm Alumni Ventures, which has invested in semiconductor startup Analog Inference and AI-enabled middleware platform Anything World. there is,” he said.
Edwards said there are now many tech talent looking at various ways to improve processing speed and computing while reducing costs, which is necessary for AI to become more widespread. said that it is
There are also many startups that are using AI in real life in areas such as sales, content creation, and design.
Startups such as Character.ai and Jasper have raised significant funding within the past nine months to build platforms that enable companies to use AI more effectively.
Many investors see AI opening further doors in software development, financial services, and perhaps the most mentioned areas such as healthcare and biotechnology.
Alumni Ventures is exploring possibilities in drug discovery, insurance and consumer finance, Edwards said. The company has already invested in Bionic Health, which offers AI-driven modules to improve the physical and mental health of its users, and Entos Pharmaceuticals, an AI-powered drug discovery platform.
Graduates are even considering leveraging AI itself to manage back-office operations such as legal compliance, account management, and tax filing.
“There are a lot of repetitive tasks that require a lot of manual processes,” he said. “So we’ll look at them.”
New Markets, Same Old Questions
Alex Mason, a partner at growth equity firm FTV Capital, said his company continues to look at different layers of the AI stack, but one thing that always wonders is how companies will actually use this technology. He said that it should be used in a similar way.
“I think companies should always think about how they integrate AI into their business,” Mason said. Mason’s company has invested in start-ups such as UK-based CloudFactory for AI data labeling.
“I think we need to ask what AI means for our customers,” he added. “There are different stages of recruitment.”
But most agree that at some point in the future, almost every company in every sector will have some degree of AI adoption.
In fact, many investors compare the growth of AI to the mobile revolution that disrupted nearly every area of our lives just 15 years ago. Just as that transformation excited investors and raised their money, many investors now see the same thing happening with AI.
Investors are taking a much more rational investment approach than they were in 2021, but AI is certainly putting upward pressure on the market, Edwards said.
“I think we have to approach this with patience and humility,” he said. “You have to balance risk and reward.”
Sherman said AI-related startups are valued two to six times more than other software companies.
what’s next?
It’s impossible to say with certainty what the second half of the year will look like for AI. While there is still a lot of excitement around the technology, there are also concerns about the risks it could pose if used improperly and the impact it could have on job losses.
The European Union was the first to enact regulations on the technology, and many other countries, including the United States, are expected to follow suit.
Nonetheless, it definitely brought new excitement to the slowing VC world.
SoftBank founder Masayoshi Son recently told investors that the company would move from “defensive mode” to “offensive mode” despite recent heavy losses as it wants to be a leader in the AI revolution.
“Now is the time to switch to offensive mode,” Son said.
Much of the AI funding these days comes from various companies or their VC arms. These high-profile investors include General Catalyst, Tiger Global and Sequoia Capital, as well as big names such as Spark Capital and Greylock Partners.
But whether SoftBank’s move will bring the AI buzz back into the venture market for some of the well-funded growth investors who played a big role in the market in 2021 but have remained silent since then. would be interesting.
This is also helping to revitalize the dormant M&A market, with Databricks just announcing a massive $1.3 billion deal to acquire OpenAI competitor MosaicML for $1.3 billion.
It’s not entirely clear how this dollar flood will affect investments in AI in the second half. Hot trends like the Metaverse and his Web3 were once all the rage, but they quickly faded. AI is like another animal, but time will tell.
“There is an arms race going on,” Mason said. “How will that play out over the next six, nine, 12 months? Let’s see.”
— Gené Teare contributed data and research.
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