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How to upskill yourself in critical Generative AI skillsets?

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VC funding for Generative AI startups sets to surpass 2023

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How to upskill yourself in critical Generative AI skillsets?
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Athira Sethu

Kochi, 22 October 2024

Generative AI startups attract more venture capital funds in 2024 than ever, potentially exceeding last year’s funding amount. By current statistics, funding may well top those of last year, which totaled $22.7 billion, based on over $20 billion from the first three quarters of this year, S&P Global Market Intelligence said in a report.

Most of these funds were raised via the large investments made by the leading companies. Consider the case of X.AI Corp. as an example, which earlier in the second quarter managed to raise $6 billion. The third quarter saw the OpenAI raise $6.6 billion. Another company Anthropic which was already at $8.8 billion is now looking to raise more funds. Funding in the second and third quarters is reported to be as high since the early months of 2021 when Microsoft committed to investing $10 billion in OpenAI.

This year was very competitive in the space of generative AI with new companies, like X. AI founded by Elon Musk, and Safe Superintelligence Inc. founded by Ilya Sutskever. These companies are joining at least six others in the U.S. and Europe, all working on frontier foundation models.

With this in mind, investor interest remains strong although the competition is fierce, especially when the project is lead by experienced entrepreneurs. On the other hand, developing a foundation model is rather expensive and requires much more resources than competing startups like Alphabet or Meta.

Even though startups are currently burning through cash, investors do believe the revenue will grow. According to a report from Stripe, it said that generative AI companies are reaching, on average, $30 million in revenue faster than other tech companies such as those in software services, the S&P report said.

Companies in this space are investing heavily to develop new generations of generative AI models. Its being the leader in this field will capture a significant share of a growing market that is hard to predict in size. When the heat of competition hits the fray, some companies may decide to exit or merge.

“This is a survival game,” said Arun Bharath, of Bel Air Investment Advisors. He noted how anyone that waits too long to act risks falling behind. This helps drive investment, especially by larger players such as Meta, Microsoft and Alphabet, those firms feel pressure to continue investing lest they lose their place.

Inflection AI and Aleph Alpha are two companies that have actually stopped competing head-on and now help businesses deploy generative AI instead.

Third-party funding already exceeds what was funded in 2023. Startups combine third-party foundation models with their own data to develop new applications, focusing on less competitive markets, the report said.

However, the onus on their part would be to select markets that frontier models are not targeting. Some promising areas could lie in the search and customer service categories. For example, Perplexity AI is some of the news-noticed companies that grow rapidly.

Specialization is going to be the way forward for most startups in this rapidly changing generative AI landscape. The agility will be there to find opportunities and spaces like fashion, legal, or healthcare and make efficiencies there, the report said.

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