Firms Adding Chief AI Officer to C-Suite to Lead Integration, Value Creation

A global report by Amazon Web Services and Access Partnership shows generative artificial intelligence now tops enterprise IT budgets, overtaking security and other priorities. Soaring demand for AI skills is prompting organizations to boost hiring and rethink AI leadership roles, with many appointing chief AI officers, CAIOs, to oversee integration, risk management and value creation.
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The report, “Generative AI Adoption Index,” highlights how organizations are moving gen AI from experimentation to full-scale implementation and offers practical strategies to create business value. CEOs, CTOs and CIOs currently lead most gen AI innovation, but leadership structures are evolving to include specialized AI roles, such as CAIOs, at the highest levels of organizations.
Access Partnership surveyed 3,739 IT decision-makers across nine countries, including the United States, Brazil, Canada, France, Germany, India, Japan, South Korea and the United Kingdom, yielding key findings.
Companies Plan to Spend More on Gen AI in 2025
Nearly 45% of IT decision-makers surveyed ranked gen AI tools as their top budget priority for 2025, over other IT categories, such as security tools, which were prioritized by only 30%. Ease of integration is a key factor for most organizations, but those in highly regulated and compliance-heavy environments emphasized the importance of advanced capabilities – 56% of respondents – and robust privacy and security features – 48% of respondents.
CAIOs Emerge as Critical Leaders
Enterprises are rapidly consolidating AI leadership, with 60% having appointed CAIOs and another 26% planning recruitments by 2026. This demonstrates strong executive commitment but change management continues to be a concern as nearly one-quarter of organizations will still lack formal transformation strategies by 2026.
Organizations Accelerate From Experimentation to Integration
With 90% of organizations now deploying gen AI tools, only 44% have advanced beyond early testing to production deployment. Organizations conducted an average of 45 AI experiments in 2024, but only 20 will reach end-users by 2025, highlighting implementation challenges.
Upskilling, Hiring Bridge Gen AI Talent Gap
To accelerate gen AI deployment, organizations are pursuing dual strategies: internal training and external recruitment. Fifty-six percent of organizations have already developed gen AI training plans and a further 19% will do so in 2025. But around half of the respondents said limited understanding of employees’ gen AI training needs hinders the creation of robust training plans. This drives aggressive hiring plans, with 92% of organizations seeking AI-skilled talent in 2025.
Organizations Adopt Hybrid Build-and-Buy Strategies
Instead of developing solutions from scratch, most organizations customize pre-existing AI models to fit their workflows and datasets. Industry preferences vary significantly, and 44% of financial services firms plan to use out-of-the-box solutions, departing from traditional custom development approaches. Third-party vendors emerge as key partners, with 65% of organizations planning vendor collaboration for deployment.
India Findings
The study included 415 senior IT decision-makers from India across industries, including financial services, information and communications technology, manufacturing, and retail. It revealed that 83% of Indian organizations have already appointed a CAIO to drive AI adoption and manage implementation, with an additional 15% planning to do so by 2026.
“We see a growing recognition of AI as a transformative technology that requires strategic leadership at the highest levels and a structured approach to change management,” said Satinder Pal Singh, head of solution architecture for India and South Asia at AWS. “For India, this is not merely about technology adoption; it’s about cultivating a mindset of continuous innovation and harnessing AI as a strategic lever to reimagine customer experiences and re-architect how work gets done.”
Singh said organizations must have access to the right model for the right task. He also said that extensive integration of gen AI into workflows could enhance efficiency and automation. “[To do this] having the right AI talent will be a competitive advantage,” he said.
According to the report, demand for gen AI talent in India will be widespread, with 99% of organizations expecting to hire for roles requiring gen AI skills in 2025. Eighty-one percent of organizations have already developed gen AI training plans and 11% will develop one by the end of 2025 to meet the growing demand for AI talent.
The report recommends three priority actions to enable organizations to fulfill their AI talent requirements, which are crucial for achieving AI success.
Implementing a Change Management Strategy
Along with CAIOs, a thoughtful change management strategy will be critical. The ideal strategy should address operating model changes, data management practices and talent pipelines. Today, just 14% of organizations have a change management strategy, but this will increase to 76% by end of 2026, highlighting a growing recognition of the need for structured adaptation. But a sizable proportion of organizations may still struggle to keep pace with AI-driven transformation, with one in four organizations still lacking a strategy in 2026.
Overcoming Upskilling Barriers
Organizations recognize the importance of training plans, but several barriers hinder their development. The top challenge, cited by 52% of IT decision-makers, is the limited understanding of employees’ training needs. Another 47% struggle with knowing how to implement effective training programs, and 41% point to constrained budgets. To address these gaps, digital training modules developed by leading tech companies can offer valuable support for both businesses and individuals.
Working With Strategic Partners
Third-party vendors are becoming key enablers of gen AI transformation across organizations globally. From supplying outsourced talent to offering services such as cloud computing and storage, these vendors help bridge critical technology and talent gaps.
Effective gen AI deployment will depend on strong collaboration between external experts and internal teams. In 2025, 15% of organizations deploying gen AI tools plan to rely entirely on third-party vendors and another 50% will use a hybrid approach. Overall, around 65% of organizations will depend on external vendors, who must work closely with in-house teams that are better positioned to manage and use proprietary data.
AWS Gen AI Innovation Center
To help organizations accelerate gen AI adoption, AWS has launched the Generative AI Innovation Center, a $100 million investment that connects organizations with AWS AI experts through free workshops, engagements and training. AWS is also addressing the critical AI skills gap through comprehensive training initiatives.
One of the initiatives is the AWS Skill Builder platform that offers more than 80 free gen AI courses focused on machine learning. These online courses are tailored for a range of competencies and work functions.
The AWS Partner Network provides organizations with access to thousands of experienced consulting and technology partners, such as TCS, Infosys and Wipro, who can help accelerate AI adoption with industry-specific expertise.
