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AI and emerging technologies are set to redefine industries, economies, and daily life in ways that could seem almost unrecognizable within the next decade. By 2030, AI is projected to contribute $15.7 trillion to the global economy, transforming how we live, work, and communicate. Yet, as we race toward this future, big questions loom: How will societies manage widespread job displacement in the face of automation? Can we ensure AI serves as a tool for equity rather than deepening divides? The stakes are high, and preparation is critical. Will these advancements drive unprecedented prosperity, or will they create challenges that we are not yet equipped to solve?
The role of IT is undergoing a dramatic transformation, moving from a back-office support function to a critical strategic partner at the heart of business innovation. As digital transformation accelerates, IT is no longer just about maintaining systems—it’s about driving growth, enabling data-driven decision-making, and unlocking new opportunities through emerging technologies. By 2025, 75% of IT organizations will be key players in business strategy, according to Gartner. But this evolution raises important questions: How can IT balance the need for operational stability with the push for innovation? Are IT leaders prepared to lead this shift, or will they remain stuck in reactive roles? The future of IT is not just about supporting the business—it’s about becoming the engine that powers its success.
As organizations race to adopt cutting-edge technologies, the question is no longer just can we build it, but should we build it? Aligning tech innovation with strategic business goals requires more than just technical capability—it demands a careful balance between innovation and purpose. While McKinsey reports that companies with strong alignment between their innovation and business strategies grow 2.4 times faster, the rush to innovate can lead to technology solutions that don’t deliver real value. Are companies innovating for the sake of innovation, or are they creating technologies that truly drive long-term growth? The challenge is ensuring that every tech advancement not only pushes the boundaries of what’s possible but also aligns with the core objectives of the business.
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According to a World Economic Forum report, 97 million new AI-related roles will emerge by 2025, while many current jobs will become obsolete without reskilling efforts.
Institutions must urgently invest in AI education to prepare both educators and students for this transformation. Without a skilled workforce, organizations risk falling behind in adopting AI technologies, limiting their ability to compete and innovate in a global market increasingly driven by AI advancements.
NSF is boosting AI research in academia with up to $500M in funding. Discover how this opportunity could shape the future of education and innovation.
Everybody knows we must embrace AI innovations, but how do we do this the right way? As AI tools rapidly transform education, addressing the challenges surrounding their use has become paramount.
Studies show that nearly 25% of students have turned to AI tools like ChatGPT for “academic assistance”, making plagiarism increasingly hard to detect, with detection tools often generating false positives. To navigate this new landscape, institutions must adapt to implement AI in a responsible way that helps meet academic goals. Addressing key issues is critical as AI reshapes the way we teach and learn.
Research shows that 70% of change initiatives fail due to employee resistance or lack of management support. In the context of education, AI is often met with skepticism, as faculty and staff worry about job displacement and the ethical implications of AI tools.
To overcome these barriers, it’s critical to build trust through transparency and clear communication. Institutions need to involve all stakeholders—educators, students, and administrators—early in the process, ensuring they understand that AI is here to enhance their work, not replace it, while strictly adhering to academic standards.
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Built innovation hubs across 14 countries, driving double-digit growth through AI-powered solutions.
Over 20 years of experience transforming global brands, including Dell, Amgen, IBM, Pfizer, and Cisco.
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A frequent speaker and contributor to Forbes, Entrepreneur, and Fast Company, sharing actionable insights on the future of work, AI, and innovation.
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