Simon Hodgkins
Should You Conduct An AI Literacy Audit For Senior Leadership with Simon Hodgkins Ep 278 - The Global Discussion
Simon Hodgkins, Founder of The Global Discussion and international business strategist, speaks about the accelerating adoption of artificial intelligence across Ireland in this episode. Drawing insights from the AI Ireland 2026 report, Simon explores how Irish organizations are transitioning from early experimentation with AI to full operational deployment.
With data from more than 130 AI leaders across Irish organizations, the conversation highlights a pivotal moment in enterprise technology. AI is no longer an emerging curiosity. It is becoming embedded within the operational backbone of modern businesses.
AI Has Entered the Operational Era
In Ireland, AI adoption has crossed a critical threshold. According to the report discussed in the episode, 74% of surveyed organizations have already moved AI into early production or broad adoption, while only 2% have yet to begin their AI journey.
This shift signals a major transition in the way organizations think about artificial intelligence. The strategic conversation is no longer whether to adopt AI. The question now is how to scale it responsibly and effectively across the enterprise.
What once began as innovation lab experiments or isolated pilot projects has evolved into integrated operational systems influencing workflows, decision-making, and productivity. Yet Simon makes an important distinction: production does not equal optimization. Many organizations are still working to translate promising prototypes into measurable business value.
Efficiency Is the Immediate Driver
When organizations prioritize AI investments today, efficiency is the dominant theme.
In the report findings:
Cost optimization leads AI priorities
Engineering assistance, including AI-powered coding tools, ranks second
Predictive maintenance follows closely behind
This pragmatic approach reflects the current economic climate. Boards and leadership teams increasingly demand clear, defensible return on investment from AI initiatives.
Efficiency gains create an important foundation. Once organizations unlock productivity improvements and cost reductions, they can reinvest AI capabilities into innovation, product development, and enhanced customer experiences.
The Real Barrier: Integration
One of the most revealing insights from the report is that the biggest barrier to AI success is not ambition; it is infrastructure. Integration challenges were cited as the largest obstacle by nearly a quarter of leaders. Legacy systems, fragmented infrastructure, and technical debt continue to slow progress.
AI systems depend on clean data pipelines, interoperable systems, and scalable platforms. Without these foundations, even the most advanced AI models struggle to deliver sustained value.
For leadership teams, this reframes the investment conversation. AI strategies must include:
Infrastructure modernization
Data architecture improvements
System integration initiatives
Capability upgrades across the technology stack
Without these elements, AI initiatives risk remaining disconnected pilots rather than enterprise-wide solutions.
The Leadership Literacy Gap
Another key challenge highlighted in the discussion is the lack of AI literacy at the leadership level.
Skills shortages and knowledge gaps account for a meaningful portion of implementation barriers. However, the issue extends beyond technical teams. Executive leadership must also develop a deeper understanding of AI capabilities, risks, and limitations.
Strategic clarity begins at the top of the organization. Leaders must be equipped to:
Identify meaningful use cases
Allocate capital effectively
Assess risk and governance requirements
Align AI initiatives with broader business strategy
Simon questions whether organizations should conduct AI literacy audits at the senior leadership level to ensure decision-makers are prepared for the technological transformation underway.
Governance Is Becoming Central
The conversation around generative AI has matured significantly. Governance, compliance, and risk management are now core elements of AI strategy.
Over 56% of leaders favor controlled environments for the use of generative AI with company data, demonstrating a cautious, structured approach to implementation.
Organizations are increasingly introducing:
Secure sandbox environments
Internal guidelines for AI usage
Regulatory alignment
Governance frameworks
Only a small percentage of organizations currently consider themselves fully production-ready with generative AI systems. This caution reflects growing awareness of security risks, regulatory obligations, and reputational consequences.
Frameworks such as ISO 42001 for AI governance are beginning to play an important role in shaping responsible adoption.
Moving Toward Predictive Operations
Another important theme is the transition from reactive to predictive business operations.
AI enables organizations to act as early-warning systems, identifying potential operational risks, inefficiencies, or failures before they occur.
Predictive alerts and proactive monitoring are becoming major priorities for enterprise leaders.
These capabilities can influence:
Operational resilience
System uptime
Financial performance
Strategic agility
Organizations that successfully operationalize predictive intelligence may gain significant structural advantages in speed, responsiveness, and efficiency.
Enterprise Influence and Market Opportunity
Large enterprises are currently leading AI adoption in Ireland. More than 40% of survey respondents represent organizations with 1,000-5,000 employees, giving them the resources and scale to drive structured adoption.
However, Simon points out an important opportunity. Small and mid-sized companies often have less legacy infrastructure and greater agility, enabling them to move faster once governance frameworks and integration strategies are established.
The competitive landscape for AI adoption in Ireland is still forming, and agile organizations may find opportunities to leap ahead.
The Strategic Outlook
As AI adoption matures, the defining capabilities for organizations will shift.
Success will no longer be determined by experimentation or enthusiasm. Instead, competitive advantage will depend on:
Infrastructure readiness
Leadership literacy
Governance maturity
Measurable return on investment
Strategic integration into enterprise architecture
AI is no longer a peripheral innovation project. It is becoming a fundamental component of modern business strategy.
As Simon concludes in the episode, the real question for executive teams is not whether AI matters.
The question is whether their organizations are structurally prepared to lead with it.
About The Global Discussion
The podcast features carefully curated guests from an exciting cross-section of creatives, leaders, and thinkers. New episodes are available on Apple, Google, and Spotify podcasts and several leading podcast platforms. You can listen to and watch the episodes on our dedicated YouTube channel and the website.
To learn more about The Global Discussion, please visit:
https://www.theglobaldiscussion.com
Audio
Spotify: https://open.spotify.com/show/3QdMqfzyvca6EVlEJ80I4n
Apple: https://podcasts.apple.com/ie/podcast/the-global-discussion/id1668702566
Video
YouTube: https://www.youtube.com/@theglobaldiscussion
Website: https://www.theglobaldiscussion.com
Follow us on Social Media
LinkedIn: https://www.linkedin.com/company/theglobaldiscussion
Others: X, Instagram, and Facebook