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CIO priorities for 2027
Executive insights
Four topics shaping the AI and technology agenda
What are the top CIO priorities for 2027?
The CIO agenda is expanding. AI is reshaping how organizations operate, compete, and create value—and it has expanded the CIO's role beyond technology. Today's CIO is expected to connect business strategy, tech, data, and operations to turn innovation into measurable business outcomes.
That means creating the conditions for innovation to scale. Modern tech is only part of the equation. Strong governance, connected data, and agile ways of working help organizations move beyond isolated initiatives to sustained business impact.
For many organizations, AI still isn’t scaling. Systems move at different speeds. Data doesn’t connect. Value stalls in pilots. That’s not a technology gap. It's a design choice.
CIO strategy increasingly means orchestrating technology and operations together. Making decisions faster. Executing more smoothly. Every investment translating into real, measurable results.
In the spotlight
The intelligent enterprise
AI is redefining how your business runs. The question is: Are you designing it?
The intelligent enterprise connects strategy, technology, operations and governance so they work as one—helping organizations scale AI, adapt faster and turn investment into sustained business performance.
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[42%] of CEOs say their companies are ‘stuck’ and unable to unlock either revenue or cost benefits from AI
Source: PwC Global CEO Survey 2026
Where to focus in 2027
Engineering & AI
Build AI for enterprise scale
AI changes what organizations need from their technology. Cloud, AI and data need to work together as one connected system—built to adapt as business needs and technology evolve.
CIOs are bringing platforms, applications and data together to move AI from experimentation into the way the business runs. With the right architecture and engineering expertise, organizations can reduce complexity, accelerate innovation, and turn AI investment into measurable business results.
Top insights
AI-native engineering for faster software delivery
Software delivery has a velocity problem. AI native engineering is how we’re solving it.
Scaling AI with agentic architecture and enterprise governance
From pilots to production: AI architecture that scales.
[82%] of CIOs say achieving value from adopting new technologies is a challenge to transformation.
Strategy
Redefine how the business works
AI is changing more than technology—it’s reshaping how decisions are made and work gets done. To create lasting value, strategy, technology, and operations need to move together. That means redesigning operating models, aligning priorities, and embedding AI into the way the business runs.
Disconnected functions and outdated processes slow execution and limit impact. CIOs are helping build intelligent operating models that connect people, data, and technology to accelerate decisions, improve performance, and adapt as business needs evolve.
Top insights
How CIOs can turn AI activity into enterprise value
Architects of intent: How CIOs can convert AI into enterprise value.
How PwC and Palantir are helping organizations scale enterprise AI
Expanded collaboration can help organizations build intelligent enterprises through scaled enterprise AI, M&A transformation, and ERP modernization.
Scaling AI with agentic architecture and enterprise governance
Scaling AI successfully requires enterprises to redesign their architecture—moving from disconnected use cases to orchestrated, governed, agentic workflows that deliver repeatable, enterprise-wide impact.
Industries more exposed to AI are seeing three times higher growth in revenue per worker.
Source: AI agent for IT
Operations
Scale AI through intelligent operations
AI delivers the greatest value when it's built into everyday operations, not isolated use cases. With managed services, intelligent operations can connect workflows, automate routine tasks, and give teams the insights they need to make faster, more informed decisions.
Organizations can struggle when processes remain fragmented across functions. CIOs are reengineering operations to create connected workflows that improve efficiency, increase agility, and help AI scale across the enterprise. These operations can then continue to evolve alongside the business. AI becomes embedded in day-to-day workflows, continuously improving performance, accelerating outcomes, and helping organizations innovate long after implementation.
Top insights
Agentic Scaffolding: How AI Agent Scaffolding Builds Your Operating Model
How to build new AI workflows and a nimbler organization.
Technology Managed Services
Advance your technology operations with leading AI-powered technology and alliances, so you can scale, innovate, and drive results.
[67%] of top-performing companies use managed services to strengthen performance and fill critical gaps.
Source: Technology Managed Services
Security
Build trust into every AI decision
As AI becomes part of how the business operates, security and governance become strategic enablers not checkpoints. Organizations need security, risk management, and governance embedded into every system, workflow, and decision to innovate with confidence.
Trust starts with clear accountability and resilient architecture. CIOs are building secure, AI-ready environments where governance, compliance, and cyber resilience evolve alongside the business—reducing risk while accelerating innovation.
[Only 6% ] of organizations say they are very capable of withstanding cyberattacks across all the vulnerabilities surveyed.
Source: 2026 Global Digital Trust Insights: C‑suite playbook and findings
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