Yesterday, Gartner, a market research firm, unveiled its 2024 Hype Cycle for Emerging Technologies, showcasing the decline of generative AI (genAI) from the “peak of inflated expectations” to the “trough of disillusionment.”
AI-augmented software engineering is also on a downward trajectory, following a similar pattern as genAI, as outlined by Gartner’s Hype Cycle that tracks the rise and fall of technology adoption.
Gartner
AI-assisted code generation tools are gaining traction in software engineering, offering efficiency gains for organizations experimenting with genAI. The trend towards automation is driven by the time-saving benefits of these tools in code creation and updates.
Prompt engineering, a method of training AI algorithms, has propelled genAI to cater to specific industry needs, as highlighted by Gartner. This customization allows for a more targeted approach in utilizing AI technologies.
Interest in genAI is shifting towards a focus on return on investment (ROI) among enterprises, moving away from the initial hype surrounding foundation models like Google Gemini and OpenAI GPT-4. Companies are now prioritizing tangible ROI-driven use cases for genAI implementation.
Despite the productivity gains promised by genAI, quantifying ROI remains a challenge due to the indirect financial impacts of AI technologies. Gartner analysts emphasize the importance of articulating the financial benefits of genAI initiatives to justify continued investment.
Gartner’s concept of the trough of disillusionment signifies a period when interest in a technology diminishes as initial expectations are not met. However, this phase can lead to the “plateau of productivity,” where mainstream adoption and improved technology offerings emerge.
As the landscape of AI technologies evolves, the focus on AI agents is gaining prominence, signaling a shift towards practical applications and tangible outcomes in the AI industry.
2024-08-26 15:15:03
Original from www.computerworld.com