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C-Suite AI adoption is rising, yet ambition is outpacing enterprise readiness

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CGI (NYSE:GIB) released 2026 global research based on talks with over 1,800 executives, mainly C‑suite. Findings show tech acceleration and geopolitical complexity driving demand for adaptive, resilient organizations, while AI ambition and adoption increasingly outpace enterprise readiness.

Results highlight data sovereignty, legacy constraints, talent shortages, and rising use of managed services to scale AI.

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Positive

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Negative

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News Market Reaction – GIB

-7.25%
17 alerts
-7.25% Session close to close
-3.9% Trough in 2 hr 31 min
$13.13B Market Cap
1.1x Rel. Volume

In the Jun 18 session, GIB declined 7.25%, reflecting a notable negative market reaction. Argus tracked a trough of -3.9% from its starting point during tracking. Our momentum scanner triggered 17 alerts that day, indicating notable trading interest and price volatility.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock moved -7.3% in the session following this news. A negative reaction despite positive AI-de...
Analysis

The stock moved -7.3% in the session following this news. A negative reaction despite positive AI-demand signals fits GIB’s mixed history around AI headlines, where moves averaged about -0.49%. Concerns could center on execution challenges from talent gaps and legacy modernization needs.

Key Figures

Executives interviewed: more than 1,800 executives Macro trend importance: 70% of executives Data sovereignty focus: 52% of executives +5 more
8 metrics
Executives interviewed more than 1,800 executives Annual global proprietary research sample
Macro trend importance 70% of executives Citing tech and digital acceleration as most impactful trend
Data sovereignty focus 52% of executives Prioritizing data sovereignty and local cloud strategies
Highly agile models 25% of executives Rating their operating models as highly agile
GenAI implementation change 30 percentage points Increase in GenAI implementation over past two years
AI in core processes 62% of organizations Applying AI to core business and operational processes
Enterprise AI strategy 40% of organizations Have an enterprise AI strategy in place
Talent impact on programs 52% of executives Reporting talent shortages materially impact programs and execution

Previous AI Reports

5 past events · Latest: May 21 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
May 21 AI platform update Positive +0.9% Expanded governed AI capabilities within CGI Advantage for government clients.
May 04 AI partnership status Negative -0.1% Microsoft Copilot specialization and prioritization in AI partner programs.
Apr 28 AI center launch Positive +0.1% Launch of an AI Center of Excellence in Portugal focused on GenAI and agentic AI.
Apr 27 AI platform launch Positive +1.1% High-security sovereign AI and data services platform launched in Finland.
Apr 23 AI client deployment Negative -4.4% Multi-agent AI solution deployed for SOK Finance to automate service workflows.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-related news for GIB has generally produced small share-price moves, with one notably sharp downside reaction.

Key Terms

data sovereignty, managed services, systems integration, genai
4 terms
data sovereignty regulatory
"52% of executives are prioritizing data sovereignty and local cloud strategies"
Data sovereignty is the principle that digital information is subject to the laws and control of the country or entity where it is stored or processed. For investors, it matters because where data lives affects a company's legal obligations, costs, ability to sell services across borders, and exposure to government access or restrictions — like owning a house that must follow the rules of the town it sits in.
managed services financial
"shifting toward substantial and selective managed services models to strengthen delivery"
Managed services are when a business hires an outside provider to run and maintain a specific ongoing function—commonly IT, cybersecurity, networks, or back-office tasks—under a contract that includes monitoring, updates and problem resolution. For investors this matters because it creates predictable costs and recurring revenue for the provider while reducing operational risk and capital spending for the client, much like hiring a building superintendent to keep systems running so management can focus on growth.
systems integration technical
"combining business consulting, systems integration and digital reengineering"
Systems integration is the process of connecting different software, hardware and data sources so they operate together as a single, working system. For investors, it matters because successful integration can cut costs, speed operations and enable new products, while poor integration can cause delays, extra spending and operational risk; think of it like wiring a house so all appliances run reliably from the same circuit.
genai technical
"AI ambition and adoption are outpacing enterprise readiness. GenAI implementation has increased"
Generative AI (genai) is a type of artificial intelligence designed to create new content, such as text, images, or music, that resembles human-produced work. It matters to investors because it has the potential to transform industries by automating tasks, enhancing creativity, and enabling new products and services, which can influence company performance and market opportunities.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Stock Market Symbols
GIB.A (TSX)
GIB (NYSE)
cgi.com/newsroom

CGI global research highlights that AI progress depends on expanding talent and execution capacity

MONTRÉAL, June 18, 2026 /PRNewswire/ - CGI (TSX: GIB.A) (NYSE: GIB), one of the largest independent IT and business consulting services firms in the world, today released the findings of its annual global proprietary research based on discussions with more than 1,800 business and technology executives, of whom the majority are C-level. This year's research highlights a clear market evolution toward digital engineering and reengineering to scale AI and achieve business outcomes. CGI's findings identify three overarching trends shaping business and technology strategies across commercial and government organizations:

  • The strategic imperative: Adaptive, resilient organizations. Tech and digital acceleration remain the most impactful macro trend, cited by 70% of executives. The fastest-rising trend continues to be shifts in the world economic order and supply chain reconfiguration, with increasing geopolitical complexity placing greater pressure on organizations to adapt. At the same time, 52% of executives are prioritizing data sovereignty and local cloud strategies, while only 25% rate their operating models as highly agile, reinforcing the need for more adaptive and resilient organizations.
  • AI ambition and adoption are outpacing enterprise readiness. GenAI implementation has increased by 30 percentage points over the past two years, while 62% of organizations are now applying AI to core business and operational processes. However, enterprise readiness continues to lag adoption, reinforcing that the digital reengineering of foundational systems, data and operating models is critical to scaling AI and realizing measurable value. While 40% of organizations have an enterprise AI strategy, only 20% extend it across their broader ecosystem. In addition, only 51% quantify the results of their AI adoption.
  • Progress depends on expanding talent and execution capacity. Cost pressure remains the number one constraint facing organizations, while 45% of executives say legacy systems significantly challenge their data and AI strategies. Nearly 70% report difficulty recruiting IT talent, with 52% indicating talent shortages materially impact programs and execution capacity. As a result, C-level executives are increasingly shifting toward substantial and selective managed services models to strengthen delivery capacity and support scalable AI-enabled transformation.

"Executives are navigating an environment defined by rising complexity, from regulatory pressures to fragmented systems, while still being expected to deliver measurable outcomes. Our 2026 Voice of Our Clients insights show a clear evolution toward digital engineering and reengineering initiatives, as organizations build new capabilities and modernize legacy environments to scale AI and achieve their digital transformation outcomes," said Tim Hurlebaus, CGI President and CEO. "As we mark our 50-year milestone of innovation and client collaboration, we are focused on building what's next and are uniquely positioned to support this ambition as a trusted, end-to-end partner, combining deep industry expertise, proximity to clients, and a proven AI-to-ROI approach."

Clients are increasingly consolidating toward fewer, trusted partners capable of combining business consulting, systems integration and digital reengineering to deliver end-to-end outcomes. The findings reinforce that without modernized foundations, applying AI to fragmented data, legacy systems and outdated operating models often increases complexity rather than delivering measurable value. This priority is also driving increased demand for selective managed services and consulting capabilities that support how organizations align technology, people and processes to achieve measurable business outcomes.

"With AI adoption accelerating, the priority is now execution and value realization," said Dave Henderson, Chief Technology Officer, CGI. "The opportunity lies in helping organizations move beyond isolated AI use cases toward embedding AI into complex enterprise environments to deliver tangible results and sustainable competitive advantage. CGI's AI-ready approach is designed to make AI real and outcome-focused, helping clients combine strategic human insight with the platforms, data infrastructure, and ecosystem integrations needed to ensure scalable impact."

For additional global insights from the CGI Voice of Our Clients, as well as industry-specific insights, visit cgi.com/voice-of-our-clients.

About CGI Voice of Our Clients
Each year, CGI leaders around the world conduct in-depth, face-to-face interviews with business and IT executives to gather actionable insights on the trends shaping their enterprises. These conversations explore topics including strategy execution, IT modernization, talent management, cybersecurity, data, AI and cloud maturity, regulation, innovation, and sustainability. The insights inform practical roadmaps and are backed by over 1 million data points collected over five years.

About CGI
Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2025 reported revenue is CA$15.91 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.

Cision View original content:https://www.prnewswire.com/news-releases/c-suite-ai-adoption-is-rising-yet-ambition-is-outpacing-enterprise-readiness-302803494.html

SOURCE CGI Inc.

FAQ

What are the key findings of CGI (GIB) 2026 global AI readiness research?

CGI’s 2026 research finds AI adoption growing faster than enterprise readiness, highlighting gaps in strategy, data, and operating models. According to CGI, 62% of organizations use AI in core processes, yet only 25% rate their operating models as highly agile.

How widely is AI being adopted in core business processes according to CGI (GIB) 2026 study?

CGI reports that 62% of organizations now apply AI to core business and operational processes. According to CGI, generative AI implementation has increased by 30 percentage points in two years, but many organizations still lack fully modernized systems and operating models.

What does CGI (GIB) research say about AI strategy and ecosystem coverage in 2026?

CGI’s research indicates that 40% of organizations have an enterprise AI strategy, but ecosystem coverage is limited. According to CGI, only 20% extend that AI strategy across their broader ecosystem, and just 51% quantify the results of their AI adoption.

What constraints on data and AI strategies did CGI (GIB) identify in its 2026 survey?

CGI highlights cost pressure and legacy systems as major constraints on data and AI strategies. According to CGI, 45% of executives say legacy systems significantly challenge their data and AI efforts, while nearly 70% report difficulty recruiting IT talent.

How are talent shortages affecting AI execution capacity according to CGI (GIB) 2026 insights?

CGI finds talent shortages are materially affecting program execution and AI initiatives across organizations. According to CGI, nearly 70% face IT hiring difficulties and 52% say talent shortages materially impact programs, prompting more C‑level leaders to adopt selective managed services models.