‘Playtime Is Over’ for GenAI: NTT DATA Research Shows Organisations Now Focusing on Investments That Drive Performance
In Malaysia, 98% said legacy infrastructure hinders effective use of GenAI.
NTT DATA, a global digital business and IT services leader, has released the first results of its extensive original research that reveals “playtime is over” for Generative Artificial Intelligence. The results overwhelmingly found that leaders are turning their focus from experimentation to long-term use cases that transform business performance, workplace culture, compliance, safety and sustainability.
The study, “Global GenAI Report: How Organisations Are Mastering Their GenAI Destiny in 2025,” found that almost all leaders surveyed already have invested in GenAI, and 83% (APAC: 94%) have established “expert” or “robust” GenAI teams. Top use cases for GenAI include:
- Personalised service recommendations and knowledge management
- Quality control
- Research and Development (R&D)
In APAC, top use cases for GenAI include:
- Research and Development (R&D)
- Personalised service recommendations and knowledge management
- Process automation
“The future is clear. Generative AI is more than just another tool—it’s a transformative force,” said Yutaka Sasaki, President and Chief Executive Officer at NTT DATA Group. “As we move beyond experimentation, a tension emerges: move too fast, and we risk unintended circumstances; move too slow and we fall behind. Getting Generative AI right isn’t optional. That’s why we’re providing a blueprint to help our clients harness its potential for lasting success.”
GenAI: Seen as a Game-Changer by Many
Two-thirds of C-suite respondents said Generative AI will be a “game changer” over the next two years and will improve:
- Productivity and efficiency
- Sustainability
- Compliance
- Business processes
- Security
- Employee experience
In APAC, two-thirds of C-suite respondents said this innovation will improve:
- Productivity and efficiency
- Sustainability and environmental goals
- Accelerate innovation
- Improve security
- Compliance and process adherence
Strategy and Transformation
A cycle of consolidation and integration of Generative AI technologies is beginning that combines experimental, phased and specific approaches. Focused spending plans will replace scattered experimentation in a relatively short time:
- 97% (APAC: 99%) of CEOs anticipate a material impact from this technology.
- 70% (APAC: 71%) of CEOs expect significant transformation in 2025.
- 83% (APAC: 86%) of respondents said they have a well-defined GenAI strategy in place, but 51% (APAC: 49%) have not yet aligned that strategy with their business plans. This gap limits return on investment and satisfaction with current outcomes.
Innovation and Technology
Nearly all respondents agree Generative AI can spark creativity and improve R&D activities. Given the rapid adoption and advancement of this technology, organisations will have to constantly re-evaluate and evolve their strategies and operating models. Key findings:
- 90% (APAC: 91%) said legacy infrastructure hinders effective use of GenAI.
- 96% (APAC: 97%) of CIOs and CTOs said cloud-based solutions are the most practical method for supporting GenAI applications.
People and Culture
96% (APAC: 97%) of respondents are considering how GenAI can streamline future employee workflows and support processes. However, 67% (APAC: 64%) of respondents said their employees lack the necessary skills to work with GenAI. About half are planning employee education and training to increase Generative AI adoption.
The top obstacles to adoption are:
- Users who perceive limited value for a GenAI solution
- Limited or no awareness of the solution
- User resistance to the technology
- Concerns about GenAI’s safety and security
Whereas in APAC, the top obstacles to adoption are:
- Users who perceive limited value for a GenAI solution
- Need for user training
- Concerns about safety and security
- Limited or no awareness of the solution
Ethics, Safety, and Sustainability
As Generative AI infuses into daily life, balancing responsibility and innovation will be a moral imperative as well as a strategic necessity for leaders, organisations and society as a whole. Leaders largely recognise a mandate to strike this balance. Specifically:
- 81% (APAC: 83%) said it’s “very important” for leaders to help employees balance innovation and responsibility.
- 72% (APAC: 71%) said their organisation lacks a Generative AI usage policy for employees, including guidance on protecting intellectual property.
- 45% of CISOs expressed concerns about the technology, saying they feel “pressured, threatened or overwhelmed.”
- 82% (APAC: 80%) said government regulations on AI are unclear, which hinders Generative AI strategies, and most respondents expect spending on GenAI-related regulatory compliance will increase.
Despite significant challenges, 68% (APAC: 75%) of respondents globally said they feel “excited” and “amazed” about GenAI’s transformative potential.
“This is a powerful point in world history as GenAI is shaping up to be a huge force in our tech-enabled economy,” said Abhijit Dubey, Chief Executive Officer at NTT DATA, Inc. “In supporting and driving this next era, NTT DATA feels an acute responsibility to our clients, our people and society to ensure that everything we design, implement, deploy and manage is highly resilient, capable and responsible.”