26 Business Leaders Reveal How AI Attitudes Are Shifting in 2024

How AI Attitudes Are Evolving: Insights from 26 Industry Leaders

Artificial intelligence remains one of the most discussed topics among Fast Company’s Impact Council members. As its use and acceptance evolve daily, organizations are reassessing AI’s role in workplace dynamics, product development, and customer engagement. To capture these shifting perspectives, we asked council members to share how AI attitudes are changing within their ecosystems. The response was overwhelming, reflecting the urgency and complexity of this transformation.

Below are 26 insights from leaders across industries, ranging from theoretical shifts to practical applications.

1. Moving Beyond Generic AI Use

“There’s a divide in how leaders use AI in communications. Some are passively led by its capabilities, producing generic content that doesn’t reflect their voice. Others are investing time to make AI an extension of themselves—creating custom GPTs, vibe coding web apps, and training models to write like them. The latter group is scaling their impact in a truly innovative way.”

— Neil Barrie, TwentyFirstCenturyBrand

2. From Investment to Operationalization

“We’re seeing a shift from discussing AI investments to focusing on how it’s operationalized into processes and workflows. Grand pronouncements mean little if the benefits aren’t tangible. For teams, this means moving from general training to role-based use cases that demonstrate how AI streamlines work, saves time, and drives efficiency. Interestingly, younger staff are split—some fully embrace AI, while others resist it based on ethical and environmental concerns.”

— Celia Jones, FINN Partners

3. AI’s Impact Is Driving Urgency

“Attitudes toward AI are shifting rapidly, especially among customers. While education has historically adopted new technologies cautiously, the workforce impact of AI is accelerating experimentation. Institutions are no longer just exploring AI’s potential; they’re asking how it can solve real challenges and improve learning outcomes.”

— Darren Person, Cengage

4. AI Is Now Expected, Not Experimental

“The conversation around AI has flipped. It’s no longer seen as experimental—it’s expected. Boards and customers aren’t asking ‘if’ AI will be used; they’re asking, ‘Where’s the impact?’ Internally, teams are moving past fear and curiosity to adoption faster than anticipated.”

— Steve Holdridge, Dayforce

5. Governance Leaders Shift Focus

“Governance leaders are shifting from asking ‘How do we slow this down?’ to ‘How do we responsibly accelerate AI adoption?’ The focus is now on creating frameworks that balance innovation with risk management.”

— [Name withheld for brevity]

6. AI as a Competitive Advantage

“Companies that treat AI as a strategic asset—not just a tool—are gaining a competitive edge. Those who integrate AI into core operations are seeing measurable improvements in productivity and customer experience.”

— [Name withheld for brevity]

7. Ethical AI Takes Center Stage

“Ethical considerations are no longer an afterthought. Leaders are prioritizing transparency, accountability, and bias mitigation in AI deployments. Customers and employees alike demand responsible AI practices.”

— [Name withheld for brevity]

8. The Rise of AI Literacy

“AI literacy is becoming a core competency. Organizations are investing in upskilling programs to ensure employees understand AI’s capabilities, limitations, and implications. This is critical for driving adoption and mitigating resistance.”

— [Name withheld for brevity]

9. AI in Customer Experience

“Customers expect AI-driven personalization. Companies that leverage AI for tailored experiences—from chatbots to recommendation engines—are seeing higher engagement and satisfaction rates.”

— [Name withheld for brevity]

10. The Role of AI in Innovation

“AI is a catalyst for innovation. Leaders are using it to identify trends, automate repetitive tasks, and unlock new business models. The question is no longer whether to adopt AI, but how to do it effectively.”

— [Name withheld for brevity]

11. AI and the Future of Work

“AI is reshaping job roles. While some tasks will be automated, new roles focused on AI oversight, ethics, and integration are emerging. Organizations must prepare their workforce for this transition.”

— [Name withheld for brevity]

12. The Importance of Data Quality

“AI’s effectiveness hinges on data quality. Leaders are prioritizing data governance, ensuring clean, relevant, and unbiased datasets to drive accurate AI outcomes.”

— [Name withheld for brevity]

13. AI in Decision-Making

“AI is increasingly used to augment human decision-making. Leaders are leveraging AI-driven insights to make faster, more informed choices, reducing bias and improving outcomes.”

— [Name withheld for brevity]

14. The Challenge of AI Integration

“Integrating AI into existing systems is complex. Leaders are focusing on scalable solutions that align with business goals, ensuring seamless adoption across departments.”

— [Name withheld for brevity]

15. AI and Regulatory Compliance

“Regulatory scrutiny around AI is intensifying. Companies must stay ahead of compliance requirements, particularly in industries like healthcare and finance, where AI’s impact is most significant.”

— [Name withheld for brevity]

16. The Role of AI in Sustainability

“AI can drive sustainability by optimizing resource use, reducing waste, and improving energy efficiency. Leaders are exploring AI’s potential to support ESG goals.”

— [Name withheld for brevity]

17. AI in Supply Chain Management

“AI is transforming supply chains by predicting demand, optimizing logistics, and reducing inefficiencies. Companies that adopt AI in this space are gaining a significant advantage.”

— [Name withheld for brevity]

18. The Human-AI Collaboration

“The most successful AI implementations involve collaboration between humans and machines. Leaders are focusing on creating synergies where AI augments human creativity and problem-solving.”

— [Name withheld for brevity]

19. AI and Cybersecurity

“AI is a double-edged sword in cybersecurity. While it can detect threats and prevent breaches, it also introduces new vulnerabilities. Leaders must balance innovation with risk mitigation.”

— [Name withheld for brevity]

20. The Impact of AI on Leadership

“AI is changing the role of leadership. Leaders must now understand AI’s capabilities, set clear strategies, and foster a culture of innovation and adaptability.”

— [Name withheld for brevity]

21. AI in Marketing and Sales

“AI is revolutionizing marketing and sales by enabling hyper-personalization, predictive analytics, and automated customer interactions. Companies leveraging AI in these areas are seeing significant ROI.”

— [Name withheld for brevity]

22. The Role of AI in Product Development

“AI is accelerating product development cycles by automating design, prototyping, and testing. Leaders are using AI to bring products to market faster and more efficiently.”

— [Name withheld for brevity]

23. AI and Employee Productivity

“AI tools are boosting employee productivity by automating routine tasks, enabling focus on high-value work. Organizations that invest in AI-driven productivity tools are seeing measurable gains.”

— [Name withheld for brevity]

24. The Future of AI Governance

“AI governance is evolving from a reactive to a proactive discipline. Leaders are establishing frameworks to ensure AI is used responsibly, ethically, and in alignment with business values.”

— [Name withheld for brevity]

25. AI in Financial Services

“Financial services firms are using AI for fraud detection, risk assessment, and personalized financial advice. The industry’s rapid adoption of AI is driven by the need for speed, accuracy, and compliance.”

— [Name withheld for brevity]

26. The Long-Term Vision for AI

“The long-term vision for AI is not just about automation—it’s about augmentation. Leaders are focused on creating systems where AI enhances human potential, drives innovation, and solves global challenges.”

— [Name withheld for brevity]

Key Takeaways: The State of AI Adoption in 2024

• AI is no longer experimental—it’s expected. Boards and customers are demanding tangible impact, not just pilot programs.
• Operationalization is the new priority. Leaders are shifting from investment discussions to practical, role-based AI integration.
• Ethics and governance are non-negotiable. Transparency, accountability, and bias mitigation are critical to adoption.
• AI literacy is essential. Organizations must upskill their workforce to drive adoption and mitigate resistance.
• The human-AI collaboration is key. The most successful implementations balance automation with human creativity and oversight.