Generative AI on the Decline: Insights from Gartner's 2024 Hype Cycle

Thursday, 22 August 2024, 03:00

Generative AI is sliding into the trough of disillusionment as reported by Gartner. Market research reveals a decline following inflated expectations. AI-augmented software engineering also faces challenges, with skyrocketing adoption rates in code generation tools. Prompt engineering has peaked, indicating shifting trends in the AI landscape.
Computerworld
Generative AI on the Decline: Insights from Gartner's 2024 Hype Cycle

Generative AI: A Shift in Expectations

Market research firm Gartner recently published its 2024 Hype Cycle for Emerging Technologies, revealing that generative AI (genAI) has transitioned from the peak of inflated expectations into the trough of disillusionment. This phase indicates a cooling-off period for technologies that once enjoyed immense hype. Alongside genAI, AI-augmented software engineering tools are also descending this slope, signaling a broader shift in technology adoption.

Adoption Trends in AI Technologies

According to Gartner, code generation tools integrated with AI are prevalent in software engineering. These tools are becoming essential for organizations seeking efficiency in their coding processes. The ability to automate code creation has led to increased adoption rates, as these solutions can dramatically reduce the time required for manual coding tasks.

Gartner's report also indicates that prompt engineering has peaked, highlighting the evolving expectations surrounding large language models like OpenAI's GPT-4. As the landscape shifts, industry leaders must navigate these changes meticulously.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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