ChatGPT leads enterprise AI, but model diversity is surging
ChatGPT's leading role
The report reveals that developers are overwhelmingly favouring OpenAI's ChatGPT for general-purpose AI tasks. According to the findings, more than 86% of all large language model (LLM) tokens processed by New Relic customers involved ChatGPT models.
Nic Benders, Chief Technical Strategist at New Relic, stated, "AI is rapidly moving from innovation labs and pilot programmes into the core of business operations. The data from our 2025 AI Impact Report shows that while ChatGPT is the undisputed dominant model, developers are also moving at the 'speed of AI,' and rapidly testing the waters with the latest models as soon as they come out. In tandem, we're seeing robust growth of our AI monitoring solution. This underscores that as AI is ingrained in their businesses, our customers are realising they need to ensure model reliability, accuracy, compliance, and cost efficiency."
The report highlights that enterprises have been quick to adopt OpenAI's latest releases. ChatGPT-4o and ChatGPT-4o mini emerged as the primary models in use, with developers making near-immediate transitions between versions as new capabilities and improvements are launched. Notably, there has been an observed pattern of rapid migration from ChatGPT-3.5 Turbo to ChatGPT-4.1 mini since April, indicating a strong developer focus on performance improvements and features, often taking precedence over operational cost savings.
Broadening model experimentation
The findings also suggest a trend toward greater experimentation, with developers trying a wider array of AI models across applications. While OpenAI remains dominant, Meta's Llama ranked second in terms of LLM tokens processed among New Relic customers. There was a 92% increase in the number of unique models used within AI applications in the first quarter of 2025, underlining growing interest in open-source, specialised, and task-specific solutions. This diversification, although occurring at a smaller scale compared to OpenAI models, points to a potentially evolving AI ecosystem.
Growth in AI monitoring
As the diversity of model adoption increases, the need for robust AI monitoring solutions has also grown. Enterprises continue to implement unified platforms to monitor and manage AI systems, with New Relic reporting a sustained 30% quarter-over-quarter growth in the use of its AI Monitoring solution since its introduction last year. This growth reflects a drive among businesses to address concerns such as reliability, accuracy, compliance, and cost as AI systems become more embedded in day-to-day operations.
Programming languages trends
The report notes that Python solidifies its status as the preferred programming language for AI applications, recording nearly 45% growth in adoption since the previous quarter. Node.js follows closely behind Python in terms of both volume of requests and adoption rates. Java, meanwhile, has experienced a significant 34% increase in use for AI applications, suggesting a rise in production-grade, Java-based LLM solutions within large enterprises.
Research methodology details
The AI Unwrapped: 2025 AI Impact Report's conclusions are drawn from aggregated and de-identified usage statistics from active New Relic customers. The data covers activity from April 2024 to April 2025, offering a representative view of current AI deployment and experimentation trends across a substantial commercial user base.
Follow us on:
Share on:
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Techday NZ
8 hours ago
- Techday NZ
Exclusive: Lumify warns AI readiness must catch up to enterprise adoption
As artificial intelligence tools move rapidly from novelty to necessity, enterprises across Australia and New Zealand are scrambling to prepare their people - not just their systems - for what comes next. For Michael Blignaut, an IT and process instructor at Lumify Work New Zealand, this moment feels like déjà vu. "Cybersecurity is our fastest growing area," he said, pointing to the same kind of urgency now emerging around artificial intelligence. "Every single one of our partners - AWS, Microsoft, all of them - have got huge amounts of cybersecurity training." Lumify Work, formerly known as Auldhouse in New Zealand and DDLS in Australia, is Australasia's largest provider of corporate IT training, with nearly four decades of experience. It offers education across IT, project management, cybersecurity, and now a growing portfolio in AI. As new technologies go mainstream, organisations are looking for more than just tools - they need a strategy to roll them out responsibly. "AI has moved from that vague buzzword to a vital business tool," Blignaut said. "It's really reshaping how people think and work." But he also cautions against a simplistic approach. "It's not a one-size-fits-all magic wand. Unless companies really think about staff and training, and how they're going to manage their AI adoption and address ethical concerns, I think there are going to be issues." The enthusiasm is undeniable. With tools like Microsoft Copilot and ChatGPT entering daily workflows, demand for AI training is exploding - especially among end users. "Just using Copilot in emails, in Outlook and in Excel seems to get people very excited," said Blignaut. "It's that basic end-user usage where there seems to be a lot of wow and excitement." But that excitement can mask new risks. "People either don't trust it, or they've been given the wrong answer by whatever tool they use. But there's also an overreliance: everything from 'it can solve all our problems' to 'it's not doing what I need'." This rapid adoption has elevated issues like data privacy, governance, and training fit-for-purpose. "AI governance is knowing what people are going to do with data, how companies are going to adopt AI and really use it to the potential benefit of the organisation," Blignaut said. In regulated sectors or for firms handling sensitive data, that means rethinking internal frameworks - starting with education. Blignaut's advice for businesses still unsure about jumping into AI? Start smart. "It's about thinking through your adoption strategies—and not being slow about putting in place really great implementation pathways," he said. "How are we going to get everybody in the organisation to use their tools while staying safe and not opening the company up to breaches in privacy and all of those ethical bits and pieces?" Assessment tools are a useful starting point. "There are a good number of AI readiness assessments - or Lumify can also help with that," he said. "Before you adopt any new technology or tool, there's that initial awareness to see where the company is at and what they're actually going to use it for, and making sure everybody's aware of where the business actually needs AI and how it can assist." As with cybersecurity, the upskilling challenge isn't limited to technical staff. Training now spans everyone—from executives navigating governance to frontline workers learning prompting. "I like having people in class with me," said Blignaut, "but I think that's where we're going to settle: a bit of a mix." Hybrid training delivery - once rare pre-COVID - is now standard. Lumify offers formats ranging from one-day intro workshops to five-day technical intensives, delivered in-person, online, or both. Vendor-specific certifications remain strong, especially those from Microsoft and Amazon. But interest is also growing in tool-agnostic programs, such as AI Certs, an internationally recognised certification body. "We've also got a really cool set of vendor-neutral or tool-neutral tools through AI Certs," Blignaut said. "With all things AI, it's amazing how things are changing—and changing again. Keeping certifications current and standard is going to be a huge amount of work for them, but so far, so good." Blignaut said one skill will become foundational: the ability to prompt AI effectively. "To me, it's always about the prompting," he explains. "Being able to ask the right question, being able to really frame your prompt. Across all of those platforms, being able to ask the right question or prompt - I think that's where the challenge is going to be for everybody." He also emphasises critical thinking and iterative refinement. "AI does hallucinate. Being agile about this thinking - not being shy to iterate and double-check your answers, reframing and re-asking the question in another way and being quite specific—iterating, iterating and iterating again is absolutely important." Blignaut believes AI will be a net creator of jobs, but not without disruption. Lumify is already designing reskilling programs to help displaced workers transition into new roles, including non-technical tracks that focus on digital literacy and adaptability. Ultimately, Blignaut said, the companies that thrive in an AI-enabled world will be those that treat training as a continuous, strategic function - not a one-off fix. "Before you can lead in AI, you've got to understand it," he said. "And that starts with asking the right questions - of your people, your data, and your systems."
NZ Herald
2 days ago
- NZ Herald
A new global divide: AI boom creates gap between nations
As countries race to power artificial intelligence, a yawning gap is opening around the world. Last month, Sam Altman, the CEO of the artificial intelligence company OpenAI, donned a helmet, work boots and a luminescent high-visibility vest to visit the construction site of the company's new data centre project in Texas. Bigger than New York's Central Park, the estimated US$60 billion ($98b) project, which has its own natural gas plant, will be one of the most powerful computing hubs
Techday NZ
3 days ago
- Techday NZ
AI sparks new jobs as roles shift and evolve toward 2030
Artificial intelligence is not just changing job structures, but also giving rise to entirely new roles that could define the workforce in the coming decade. While recent headlines have highlighted job reductions driven by AI, such as the layoff of 9,000 employees at Microsoft, multiple industry observers suggest that the technology's long-term impact is equally about job transformation and creation. Debate on displacement Concerns about job loss due to AI-driven automation have dominated public discourse. A 2023 report from McKinsey projected that as many as 800 million workers worldwide may see their roles replaced or altered by automation by 2030. The same study noted, however, that artificial intelligence is also likely to generate more employment in areas where technology augments rather than replaces human effort, particularly in sectors involving complex problems, creativity, or decision-making. OpenAI Chief Executive Officer Sam Altman, discussing the shifting landscape, commented on the emergence of new types of work: a shift towards jobs requiring AI supervision, creativity, and advanced problem-solving skills. In remarks on AI's impact in office settings, Ford Chief Executive Officer Jim Farley predicted that artificial intelligence could result in the reduction of half of all white-collar positions. Farley added that such changes are likely to spur the creation of new forms of work centred on partnership between people and machines. "We're watching an evolution, not an extinction. AI is changing what humans do, not eliminating the need for them. The future workforce will be more hybrid, combining machine intelligence with human judgment," says Gavin Yi, CEO of Yijin Hardware, a global leader in precision CNC manufacturing. New roles on the horizon Industry experts and employers have begun outlining specific roles that artificial intelligence is likely to spawn by the end of the decade, with some already being advertised and filled. One such job is the prompt engineer. This position is focused on constructing detailed prompts that guide generative AI tools — such as ChatGPT — to produce desired outputs. Prompt engineers require a combination of logical reasoning, linguistic skill, and creative thinking. Organisations across technology, law, and education have started seeking out candidates for these roles. "Prompt engineering is to AI what coding was to the early days of the internet," says Yi. Another role gaining traction is that of the AI ethics officer. With artificial intelligence now having far-reaching applications in areas like credit assessment and criminal justice, companies are expected to need specialists who develop and monitor guidelines for fairness, transparency, and compliance with evolving international regulations. The interface between healthcare and technology is also expected to yield new jobs. The AI-assisted healthcare technician is envisioned as a professional able to operate and manage AI diagnostic tools, interpret data, and work directly alongside medical practitioners and patients. Manufacturing and logistics sectors are investing in intelligent machinery, but those systems require oversight. The AI maintenance specialist is likely to merge traditional mechanical expertise with a strong understanding of AI system behaviours. "The factory worker of tomorrow won't just hold a wrench. They'll monitor dashboards and algorithms too," Yi explains. There is also growing recognition of AI's environmental impact. The sustainable AI analyst is projected to focus on ensuring that artificial intelligence systems are developed and operated using minimal energy, maximising efficiency and supporting broader corporate sustainability objectives. Creative industries stand to be reshaped by artificial intelligence as well. The position of AI-enhanced creative director would blend human creative leadership with the use of machine-generated content, enabling experimentation at greater scale and efficiency. Finally, with artificial intelligence being integrated into daily work tools and public sector processes, the need for AI literacy educators is expected to rise. These professionals would be dedicated to instructing colleagues, students, and government personnel in effective and ethical use of AI technologies. Workforce adaptation Yi cautions against planning for roles that may soon vanish, stating: "In 2010, nobody trained to be a social media manager. By 2020, it was a core role in nearly every company," he says. "In 2025, we're already seeing new jobs emerge. The smartest thing anyone can do is pay attention to where AI is creating opportunity, not just where it's causing fear." He recommends prioritising skills such as problem-solving, adaptability, communication, and at least a basic knowledge of how AI systems operate, as these are likely to remain relevant. "AI won't kill jobs," Yi says. "But it will make some jobs feel obsolete. People who learn how to work with AI instead of against it will come out ahead."
