Market insights company IoT Analytics, which provides insights into IoT, AI, CLoud, Edge and Industry 4.0, recently released the results of analysis into quarterly company earnings. The analysis took data from over 8000 earnings calls conducted by US-listed firms in Q4 of 2024.
Findings show that three key trends are part of companies’ discussions; AI, data centre and up-and-coming Large Language Models (LLMs).
Key insights from the analysis show:
- AI is closer to overtaking a previously hotly discussed topic, inflation, in boardroom discussions
- OpenAI and other well-known LLM vendors are declining in mentions while Llama, Cohere and Mistral are being discussed about more
- Topics around the economy and sustainability declined – they are being discussed less and less
In Q2, inflation was the most talked about topic in earnings calls but compared with data from Q4, it has now declined by 20% in mentions, reflecting increased confidence in economic performance. AI has risen by 5% to make up 33.7% of earnings calls, and data centres have risen by 24% to 11.4% of calls. A key part of discussion in relation to data centres were how to use AI to increase power consumption and capacity requirements.
“Our quarterly analysis reveals that in Q2 2024, AI has emerged as the #2 keyword in corporate earnings calls. This shift has brought related topics like data centers, emerging large language models, and Industrial AI subjects such as machine vision into the spotlight,” stated Knud Lasse Lueth, CEO, IoT Analytics. “Notably, 75% of tech CEOs discussed AI, and over half of energy and utility companies addressed the increasing electricity demand from data centres during their Q2 earnings calls.”
“The discussions around AI have become even more prevalent with data centres and emerging LLMs becoming key focus areas. This shift indicates a growing recognition of the infrastructure and advanced models needed to support AI advancements,” added Philipp Wegner, Principal Analyst, IoT Analytics.
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