However, reaching peak hype means that expectations are at a maximum, and there are major uncertainties in adoption due to security, copyright/training data, inaccuracy/model hallucinations, data privacy, and pending regulation. According to a McKinsey survey, 79% of respondents have had some exposure to generative AI, but many organizations are reluctant to embrace it at scale, with only 21% having policies about using it at work. The Gartner report also highlights other emerging technologies that will present benefits for early adopters in the next 10 years.
Key takeaways:
- Generative AI startups secured $14.1B in the first half of 2023, and the technology is at the peak of Gartner's hype cycle for emerging technologies in 2023.
- Despite the hype, the adoption of generative AI has been faster than many other technologies, with a forecasted climb to 77.8 million users over the next couple of years.
- There are major uncertainties in adoption due to issues such as security, copyright/training data, inaccuracy/model hallucinations, data privacy, and pending regulation.
- Other emerging technologies that will present benefits for early adopters in the next 10 years include Emergent AI, Developer Experience (devx), Pervasive Cloud, and Human-centric security and privacy.