68% of leaders plan to invest between $50-$250 million in GenAI over the next 12 months, up from 45% in Q1 of 2024.
The primary challenges include the quality of organizational data (85%), data privacy and cybersecurity (71%), and employee adoption (46%).
Only 12% of organizations have deployed AI agents, while 51% are exploring their use and 37% are piloting them.
The most prominent use case is analyzing complex datasets, with 70% of organizations already using AI agents for this purpose.
91% of leaders believe AI will help their organization run a better business, and 67% believe it will fundamentally change their organization's business within two years.
The most common investment size is $50 million to $99 million, with 49% of respondents placing their budget in that range.
79% of organizations are measuring ROI based on increased productivity, up from 36% in Q3.
50% of organizations are now in the scaling phase of GenAI adoption, up from 10% six months ago, while only 8% remain in the research and development phase.
29% of organizations are not yet comfortable with autonomous AI agents and will require human-in-the-loop oversight.
Macroeconomic factors like GDP growth and inflation are the primary factors influencing AI strategies, with all other factors also being significant to at least half of the respondents.
NLW presents a special episode recapping some of the most interesting findings from KPMG's Q4 AI Pulse Survey, including:
68% of leaders will invest between $50-$250 million in GenAI over the next 12 months, up from 45% in Q1 of 2024.
Over half (51%) of organizations are exploring the use of AI agents and another 37% are piloting AI agents. Currently, only 12% of respondents have deployed AI agents for use.
Quality of organizational data is the biggest anticipated challenge to AI strategies in 2025, according to the vast majority of leaders (85%) followed by data privacy and cybersecurity (71%) and employee adoption (46%).
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