Artificial intelligence is increasingly being used to reduce risk in multi-billion-dollar wind projects by modeling high-output project designs, improving operational efficiency, and reducing capital expenditure, amid tightening margins across the global wind sector, according to a new white paper from Shoreline Wind.
The Wind CFOs’ Guide to Artificial Intelligence report finds CFOs are driving a wave of AI deployment across the wind sector as companies battle rising technology costs, supply chain bottlenecks, and labor shortages.
The report reveals that 78 percent of businesses globally now use AI for at least one function, up from 55 percent in 2023. More than 90 percent plan to increase investment over the next three years, according to data cited in the study.
As the global wind sector faces rising project costs and tightening investor scrutiny, the growing role of AI in financial planning marks a structural shift for renewable energy. Shoreline’s latest report signals that intelligent, domain-specific AI tools are becoming essential infrastructure for large-scale project delivery — not just optional innovation. For energy finance leaders, that represents a new phase in how renewable projects are evaluated, financed, and optimized for long-term value. The findings suggest AI’s role in wind energy has shifted from emerging to essential. Developers and operators are using AI-powered tools to optimize turbine layouts, schedule construction, predict weather windows, and automate data-heavy analysis, all of which are helping CFOs protect margins and enhance project bankability.
The report explains, while the hype around generic AI has quadrupled the combined market value of eight major tech firms, the real breakthrough benefits for wind-energy businesses will be delivered through industry-specific AI platforms. These tools already integrate engineering, logistics and financial data to simulate complex projects and enable more reliable cost forecasting.
In 2025 alone, Shoreline’s systems ran almost 2 million simulations, reflecting the scale and growing reliance on AI for critical planning and forecasting decisions.
“Today, wind businesses have a wealth of data at their fingertips,” said Ole-Erik Endrerud, founder and chief product officer at Shoreline Wind. “However, translating and decoding this data to support key decisions is a challenge. We’re trying to provide CFOs, and supporting teams, with accurate information fundamental to assess risk and improve the profitability of projects.
AI platforms can process terabytes of disconnected datasets independently, and also together, in seconds, faster than a human analyst ever could. It is this rigor and capability to make a material difference that is proving popular with wind businesses.
Using AI-powered planning tools, teams have access to more realistic project estimates and are able to build in further contingencies prior to financing decisions being made.
Without it, CFOs are retrospectively dealing with project deviations, sometimes as much as three months, that has a significant and direct impact on profitability.”
The report notes that Shoreline’s automation capabilities save up to three hours per planner per day. The offshore wind sector is seeing some of the most immediate returns on AI investment.
Logistics and vessel operations can represent 25 to 30 percent of a project’s total cost, and small efficiency improvements can translate into cuts of up to $300,000 per day in transport costs with AI-optimized plans, while reducing OPEX by 10 percent through predictive maintenance workflows and execution of smarter tasks.
“It’s so obvious that if you have a cost at around 25 percent to 30 percent (of a project’s value) around logistics and vessel movements during a construction phase then if you can reduce that cost by 1 percent, 2 percent or 3 percent using AI for planning, it’s a no brainer,” said Anders Frederiksen, Head Energy Denmark’s general manager.
“Shoreline provides the flexible platform that allows us to transform our in-house knowledge into high fidelity results we can rely on,” said Ursula Smolka, Ramboll’s team lead for assessment.
“With over 60 developers, operators, service providers, and OEMs now using Shoreline’s technology across 465 GW of global wind projects, the platform has become the industry’s most widely adopted AI-driven simulation and optimization system.”
The white paper’s conclusion is that the most valuable AI applications for wind finance are not generic large language models, but deep, domain-specific systems trained on industry data and designed to replicate real-world decision-making.
The white paper can be downloaded at Shoreline Wind’s site.
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