LXT Launches The Path to AI Maturity 2025, An Executive Survey
83% of organizations report traditional AI in operations, but gen AI is advancing even faster;
AI investment remains steady with a surge at the top end
To achieve these levels of maturity, half of all organizations surveyed invest between
"As traditional AI implementations become operational across entire organizations and industries," said
In early 2025, LXT commissioned Reputation Leaders to survey 200 senior decision-makers (two-thirds C-suite) with verified relevant AI experience at US firms with annual revenue of over
Four of five report traditional AI in operations, but gen AI is even more transformational
In just four years, mature adoption of traditional AI has more than doubled to 83% from only 40%, while the share of companies only experimenting with AI has plummeted from 60% in 2022 to just 17% in 2025. Today, many companies (32%) find themselves at an operational level, where AI actively supports business functions, while 35% have reached systemic and 16% have reached transformational levels.
Three-quarters (75%) of organizations already utilize generative AI at an operational or systemic level, actively generating business value or transforming processes. Notably, 19% have reached the transformational stage (where AI is a part of business DNA), surpassing traditional AI (16%) at the same stage of maturity. Still, 24% of organizations remain in the early phases of gen AI maturity, with just 3% in the awareness stage and 21% still only experimenting.
In 2025, AI investment remains measured, but budgets above
Last year was a transitional one as organizations paused to reset their AI strategies amidst the rise of gen AI and shifting expectations around compliance, training data, and deployment. This year, as in 2024, half (47% vs. 54%) of all organizations continue to invest between
The number of companies in our survey investing between
In addition, AI investments are back to a primary focus on training data, software, and product development. Investments in hardware, analytics, and talent are also significant.
High-quality and accurate data is a top priority, and the need only increases with AI maturity
94% of organizations expect their need for training data to increase (up from 60% last year), with a quarter anticipating a significant rise. Similarly, 80% of organizations prioritize high-quality, accurate data to fuel AI performance. AI leaders also focus on regulatory compliance (52%) and cost-effective data acquisition (50%).
As organizations become AI mature, the importance of high-quality training data only grows. Demand for domain or subject matter expert data also grows with AI maturity.
To learn more and review the complete findings, download The Path to AI Maturity.
About LXT
LXT is a provider of industry-leading AI data solutions to power innovation for global technology leaders, Fortune 500 companies and startups. The company's generative AI services include model fine tuning, reinforcement learning with human feedback (RLHF), data collection and prompt rating, ranking and response creation, among others. LXT's managed service expertise, technology platform and vast crowd of more than 7 million contributors and domain experts enable the delivery of data across multiple modalities with speed, scale, and agility. The company's global expertise spans more than 145 countries and over 1,000 language locales. Founded in 2005, LXT is headquartered in
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SOURCE LXT
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