Here are ten compelling trends reshaping the enterprise AI landscape.

1. Rising Financial Commitment to LLMs

Organizations are significantly increasing their investments in LLMs, with 72% expecting their spending to rise this year. Currently, nearly 40% already allocate over $250,000 annually, underscoring the financial commitment to this transformative technology.

2. Google's Dominance in Enterprise LLM Adoption

Google has emerged as a frontrunner in enterprise LLM use, with 69% of respondents using Google’s models in early 2025, outpacing OpenAI, which garnered 55% usage. Google's aggressive strategy—highlighted by integrating Gemini into Workspace and expanding its AI ecosystem—positions it prominently in the enterprise arena.

3. Preference for Paid LLM Solutions

Enterprises display a strong preference for paid or enterprise-grade models, as evidenced by 63% of respondents opting for paid versions rather than relying on free tiers, indicating a mature and professionalized market approach.

4. Security and Privacy Concerns Persist

Security and data privacy remain the leading concerns hindering wider LLM adoption. Over 44% of respondents cited these issues as the primary barriers, reflecting deep-seated anxieties about integrating AI into sensitive business processes.

5. International Providers Gain Acceptance

A striking shift is evident in openness to international providers, notably DeepSeek. Despite geopolitical and privacy concerns, 17% of enterprises used DeepSeek models in early 2025, and 80% expressed comfort using these models at work, signaling significant disruption in traditionally cautious markets.

6. Hybrid LLM Strategies on the Rise

Adoption of multiple LLM platforms and models is increasingly popular, with 37% advocating for hybrid strategies combining proprietary and open-source models. This approach reflects the recognition that no single model can address every enterprise need effectively.

7. Dominant Enterprise Use Cases Emerge

AI-powered customer support and developer productivity emerged as dominant enterprise use cases, with 27% utilizing LLMs primarily for enhancing customer service and support, closely followed by 26% employing them to streamline software development through automated code generation.

8. Growing Preference for Open-Source Models

Open source models continue to capture enterprise interest. Over half (51%) believe open-source models either currently outperform or will eventually surpass proprietary alternatives, highlighting a powerful trend toward flexibility and customization.

9. Cost and Budget Remain Critical Barriers

Budgetary constraints continue to challenge adoption, with 24% identifying costs as their most significant barrier. Balancing investment against potential ROI remains a delicate yet critical task, especially given the ongoing technical complexities of integrating LLMs into existing systems.

10. Positive Outlook on Generative AI’s Workforce Impact

Despite concerns about job displacement, enterprises overwhelmingly view generative AI positively, with 82% optimistic about its impact on productivity, innovation and career opportunities. Only 11% anticipate AI leading to layoffs, demonstrating growing confidence in AI’s potential to enhance, rather than eliminate, workforce roles.

As generative AI continues to mature, enterprises face complex choices balancing security, performance, cost and compliance. These trends from Kong Research clearly indicate that while challenges persist, the strategic benefits of adopting and integrating LLMs are undeniable, ensuring that generative AI remains firmly on the corporate agenda for the foreseeable future.

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