# 89% of CIOs say they're now more responsible for workforce redesign than core IT infrastructure

- Link: https://www.thailand-business-news.com/pr-news/89-of-cios-say-theyre-now-more-responsible-for-workforce-redesign-than-core-it-infrastructure-2
- Published: 2026-10-08T07:00:00+07:00
- Author: PR Newswire

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_Thoughtworks’ survey of 3,200 CIOs finds no dominant model for enterprise AI leadership,
while Singapore CIOs report a more distributed approach to AI decision-making_

SINGAPORE and CHICAGO, Oct. 8, 2026 /PRNewswire/ — New global research from Thoughtworks,
a global technology consultancy that integrates design, engineering and AI to drive
digital innovation, finds that 89% of Chief Information Officers (CIOs) globally
agree they are now more responsible for redesigning workforce workflows and labor
models than for managing core IT infrastructure. In Singapore, 84% of CIOs agree
their role has similarly expanded beyond core IT into workforce workflows and labour
models.

The study, based on a survey of 3,200 CIOs across 10 countries, shows how far the
CIO remit now extends beyond traditional technology management. As AI becomes embedded
across the enterprise, technology leaders are being drawn more deeply into questions
about how work is designed, where decisions sit and how responsibility is shared
across the business.

That broader responsibility comes as organizations are still working through how
enterprise AI should be governed. Almost nine in 10 CIOs (88%) report that AI adoption
within their organization is happening faster than governance structures can adapt.
More than a third of CIOs (35%) also say they feel personally accountable for workforce
disruption caused by AI adoption, despite not being able to fully influence the 
outcome. In Singapore, 80% say AI adoption is happening faster than governance structures
can adapt. While 36% describe their organisation as very prepared to govern AI consistently
across business functions, a further 58% say they are somewhat prepared. Singapore
also reports lower visibility into AI tools or workflows adopted independently by
business units: 78% report full or high visibility, compared with 89% globally, 
while a further 21% report moderate visibility.

_"AI governance is also a workforce design issue,"_ said **Rachel Laycock, Chief
Technology Officer at Thoughtworks**. _"As AI changes how work gets done, organizations
need to rethink roles, workflows and decision rights so people know where human 
judgment is still essential and where AI can take on more of the work. Training 
matters, but it’s only one part of building an organization that can use AI effectively
at scale."_

Complicating matters, the survey also found that influence over AI decisions is 
distributed across the business. Globally, 23% identify the CEO as having the greatest
influence, followed by central IT or technology leadership (21%), the executive 
leadership team (11%) and dedicated AI roles (10%).

AI budget ownership is similarly distributed, with no single model dominant. Some
22% report that budgets are managed centrally by IT, 22% that responsibility is 
shared between IT and the business, 20% that budgets are controlled independently
by business units, 19% that they are managed at executive or board level and 17%
that the model is still evolving.

_"AI governance can’t sit apart from data governance or from the economics of AI
use,"_ said **Shayan Mohanty, Chief Data and AI Officer at Thoughtworks**. _"The
person accountable for the data may not own the AI systems using it, while the people
choosing those systems increasingly sit across the business. As adoption scales,
organizations need the visibility and governance to understand where AI is creating
value and where cost and risk are accumulating."_

That distribution of decision-making can also create accountability tensions. Nine
in 10 CIOs (90%) believe central IT would still ultimately be held responsible for
security breaches or compliance failures caused by AI tools purchased independently
by business units. In Singapore, 80% agree central IT would still ultimately be 
held responsible for failures caused by independently purchased AI tools. CIOs also
report feeling personally accountable for outcomes they cannot fully influence, 
including security incidents involving AI systems (37%), data privacy breaches (
35%) and brand or reputational damage from AI misuse (34%).

The lack of a single operating model extends to enterprise AI leadership. Seventy
percent of organizations surveyed have already hired a Chief AI Officer, with a 
further 26% looking to do so. But there is no clear consensus on how the role should
work alongside the CIO: 36% say the CAIO acts as an extension of the CIO’s centralized
strategy, while 35% say the role operates independently with equal or greater enterprise
influence. Some 29% describe the CIO/CAIO relationship as a source of organizational
friction or unclear boundaries. In Singapore, 77% report that their organisation
has already hired a CAIO, while 23% describe the CIO/CAIO relationship as a source
of friction or unclear boundaries.

_"At Thoughtworks, our experience has been that AI transformation is a team sport,
from defining enterprise AI strategy and architecture to embedding AI into internal
platforms and day-to-day operations,"_ said **Xia Jie Jessie, CIO of Thoughtworks**._"
The question isn’t who owns AI, but how leadership collaborates to create business
value responsibly and at scale."_

Taken together, the findings point to a CIO role that now extends well beyond technology
infrastructure. Workforce design, distributed AI decision-making and enterprise 
governance now intersect, while organizations are taking different approaches to
how leadership responsibility should be divided. Singapore’s findings reinforce 
this picture: CIOs report lower levels of strong preparedness than many other markets,
while capability-building remains a prominent part of the response, with 30% selecting
upskilling technology staff and 20% upskilling the wider workforce among actions
taken or planned.

_"Authority over AI is distributed, but accountability hasn’t always moved with 
it," _said **Mike Sutcliff, CEO of Thoughtworks**. _"The answer isn’t to pull every
decision back into central IT or put one executive in charge and assume the problem
is solved. Organizations need clearer decision rights, and people need the skills
and information to make good decisions as AI becomes part of how the business runs."_

The full report, [**Thoughtworks Global CIO Survey 2026: Who governs enterprise AI?**](https://edge.prnewswire.com/c/link/?t=0&l=en&o=4790650-1&h=389638369&u=https%3A%2F%2Fwww.thoughtworks.com%2Finsights%2Freports%2Fglobal-cio-survey-2026&a=Thoughtworks+Global+CIO+Survey+2026%3A+Who+governs+enterprise+AI%3F),
explores how organizations are approaching enterprise AI governance, leadership,
workforce capability and the changing role of the CIO.

**About Thoughtworks**

Thoughtworks is a global technology consultancy that integrates design, engineering
and AI to drive digital innovation. For over 30 years, Thoughtworks has helped organisations
solve complex business problems with technology as the differentiator.

**Methodology**

The research featured in this report was conducted by Censuswide, in partnership
with Thoughtworks, among a sample of 3,200 CIOs across the UK, USA, Canada, Australia,
Germany, Brazil, India, Saudi Arabia, UAE and Singapore.

The data was collected between July 1 and July 10 2026. Censuswide is a member of
the Market Research Society (MRS) and the British Polling Council (BPC) and a signatory
of the Global Data Quality Pledge. They adhere to the MRS Code of Conduct and ESOMAR
principles.

**Media contact:**

Michelle Surendran

Head of Public Relations for APAC and India

Email: [michels@thoughtworks.com](https://www.thailand-business-news.com/pr-news/michels@thoughtworks.com)

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