Gartner Insights Abstract

Defining AI and Setting Realistic Expectations

Published: 25 April 2024

Summary

Superheated rhetoric surrounding the potential benefits of artificial intelligence is inflating related expectations. This research helps CIOs define AI, defuse the hype, promote AI engineering and AI literacy, and focus conversations on real business problems and achievable use cases.

Included in Full Research

Overview

Key Findings
  • Marketing hyperbole is increasing confusion around artificial intelligence (AI). Consequently, many enterprises are struggling to put a realistic value on an important source of innovation and differentiation.

  • Business leadership tends to overestimate the impact of AI and underestimate its complexity — requiring IT leaders to manage the business’s expectations, or risk costly project failures.

  • As evidenced in the 2024 Gartner CIO and Technology Executive Survey, 73% of surveyed CIOs and technology leaders are planning to increase their AI investments.

Recommendations

CIOs tasked with evaluating and implementing AI techniques should:

  • Defuse the hype by adopting a common taxonomy for AI technologies, based on

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Analysts:

Erick Brethenoux Ben Yan

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