Looking ahead to 2024, the author predicts a challenging year for generative AI startups, with concerns over commoditisation, copyright issues, and regulation. However, they remain optimistic, suggesting opportunities in open source LLM adoption, smaller vertical models, and automation and workflow integration. They also recommend several resources for further predictions and opportunities in the AI sector for 2024.
Key takeaways:
- 2023 was the year generative AI went mainstream, with advancements in AI tools and Large Language Models (LLMs) being adopted across various industries.
- Despite the rapid adoption of generative AI tools by individuals and startups, enterprise adoption has been slower due to concerns around security, privacy, intellectual property, performance, and cost.
- Israeli generative AI startups have attracted significant funding, placing Israel 3rd globally in generative AI capital raising following the US and China.
- 2024 is expected to be a challenging year for generative AI startups due to concerns around commoditisation, copyright issues, impending regulation, platform dependencies, and costs.