WEMO 2025 (complet) - Flipbook - Page 42
W E M O 202 5
O U T LO O K
• Time and cost of Gen AI adoption: 306,307 Gen AI adoption
is already happening, as con昀椀rmed by a recent survey 309
showing that 74% of Energy & Utility companies surveyed have
implemented or are exploring using AI in their operations.
The market for generative AI in Utilities is expected to be
worth around $9 bn by 2032 from $534 million in 2022,
growing at a CAGR of 33.1% during the forecast period310.
The cost of adoption by the sector will be signi昀椀cant.311
Generative AI in utilities market 308
(USD Million)
Electricity Generation
Transmission and Distribution
Water and Wastewater Management
Gas and Oil Utilities
Renewable Energy Integration
Customer Engagement and Energy E昀케ciency
8000
8,676
6,313
6000
4,743
3,682
4000
2000
534
0
2022
711
916
2023
2024
1,298
2025
2,298
2,767
2027
2028
1,784
2026
https://masterofcode.com/blog/generative-ai-in-energy-and-utilities
https://www.birlasoft.com/articles/generative-ai-frontier-energy-utilities-oilgas-innovation
https://marketresearch.biz/report/generative-ai-in-utilities-market/
309
https://newsroom.ibm.com/2024-02-26-New-IBM-Study-Data-Reveals-74-ofEnergy-Utility-Companies-Surveyed-Embracing-AIs://marketresearch.biz/report/
generative-ai-in-utilities-market/
2029
2030
2031
306
307
308
https://www.alpha-sense.com/blog/trends/generative-ai-in-energy/
https://menlovc.com/2024-the-state-of-generative-ai-in-the-enterprise/
https://www.ibm.com/downloads/documents/us-en/12f5a711174dc2ac
313
https://www.mckinsey.com/industries/metals-and-mining/our-insights/
beyond-the-hype-new-opportunities-for-gen-ai-in-energy-and-materials
310
2032
However, so far, the results are disappointing as only 25%
of AI initiatives have delivered the expected Return On
Investment (ROI), over the past three years, according
to a report from IBM, which surveyed 2,000 CEOs
around the world during the first quarter of 2025. 312
But even with less than impressive returns so far, CEOs are
still con昀椀dent that AI is the future; 85% of these leaders
expect a positive ROI for scaled AI investments by 2027.
The straightforward use cases313 generally do not require
a lot of technical expertise or specialization to deploy and
will likely be rapidly commoditized, but, even for those,
change management continues to be a main challenge.
Examples include standard back-o昀케ce functions, such as
assistants and agents that automate administrative functions
or customer-facing chatbots. A strong impact has already
been observed for software developers and data scientists.
311
312
41
10000
WEMO 2025
FIGURE 11
