Keynote Speakers on the Intersection of AI and Robotics

Keynote Speakers on the Intersection of AI and Robotics

Summary

By 2030, the AI and robotics market is projected to exceed $500 billion, transforming industries such as manufacturing, healthcare, and transportation with intelligent, autonomous systems (Statista). The integration of AI and robotics enables machines to perceive, learn, and act …

Key Takeaway

  • By 2030, the AI and robotics market is projected to exceed $500 billion, transforming industries such as manufacturing, healthcare, and transportation with intelligent, autonomous systems (Statista).
  • The integration of AI and robotics enables machines to perceive, learn, and act autonomously, pushing the boundaries of what machines can achieve.
  • Leading keynote speakers provide insights into the intersection of AI and robotics and its potential for future innovation.
  • Demis Hassabis: CEO of DeepMind, Hassabis explores the role of reinforcement learning in robotics.
  • He highlights how DeepMind’s algorithms are teaching robots to perform complex tasks such as solving puzzles and performing scientific research, demonstrating how AI can enhance the capabilities of robots in real-world applications.

Body

By 2030, the AI and robotics market is projected to exceed $500 billion, transforming industries such as manufacturing, healthcare, and transportation with intelligent, autonomous systems (Statista). The integration of AI and robotics enables machines to perceive, learn, and act autonomously, pushing the boundaries of what machines can achieve. Leading keynote speakers provide insights into the intersection of AI and robotics and its potential for future innovation. 1. Demis Hassabis: CEO of DeepMind, Hassabis explores the role of reinforcement learning in robotics. He highlights how DeepMind’s algorithms are teaching robots to perform complex tasks such as solving puzzles and performing scientific research, demonstrating how AI can enhance the capabilities of robots in real-world applications. 2. Cynthia Breazeal: An MIT professor and pioneer in social robotics, Breazeal discusses the development of robots that can understand and respond to human emotions. She explains how AI-powered robots like Jibo and Pepper are transforming human-robot interactions, improving sectors like eldercare and education by providing empathy and personalized engagement. 3. Rodney Brooks: Co-founder of iRobot, Brooks discusses the impact of AI in collaborative robots (cobots). He explains how AI-driven cobots are revolutionizing manufacturing by working alongside human workers to enhance productivity, safety, and efficiency in tasks like assembly and quality control. 4. Fei-Fei Li: Co-director of the Stanford Human-Centered AI Institute, Li highlights how AI and robotics are enabling autonomous vehicles to navigate complex environments. She discusses how computer vision and AI allow robots to understand their surroundings and make decisions in real-time, paving the way for self-driving cars, drones, and delivery robots. 5. Pieter Abbeel: A professor at UC Berkeley, Abbeel focuses on AI-powered robotics for industrial automation. He explains how AI is being used to train robots to perform tasks such as picking up objects and assembling components, revolutionizing industries like logistics and e-commerce by improving efficiency and reducing human error. Applications and Challenges AI and robotics are transforming industries with applications in autonomous vehicles, industrial automation, healthcare, and customer service. However, challenges such as high implementation costs, data security, and ethical concerns remain. Keynote speakers advocate for further advancements in AI algorithms, interdisciplinary collaboration, and regulatory standards to overcome these barriers. Tangible Takeaway The integration of AI and robotics is creating smarter, more adaptable systems with the potential to revolutionize industries. Insights from leaders like Demis Hassabis, Cynthia Breazeal, and Rodney Brooks highlight the transformative potential of AI-driven robotics. To fully unlock its capabilities, stakeholders must prioritize ethical considerations, scalability, and innovation in AI and robotics development.

Final Takeaway

Decide what matters, execute in short cycles, and make progress visible every week—so you enter 2026 with momentum.

About Ian Khan – Keynote Speaker & The Futurist

Ian Khan, the Futurist, is a USA Today & Publishers Weekly National Bestselling Author of Undisrupted, Thinkers50 Future Readiness shortlist, and a International Top Keynote Speaker. He is Voted Top 25 Futurists worldwide and a media personality focused on future-ready leadership, AI productivity and ethics, and purpose-driven growth. Ian hosts The Futurist on Amazon Prime Video, and founded Impact Story (K-12 Robotics & AI). He is frequently featured on CNN, BBC, Bloomberg, and Fast Company.

Mini FAQ: About Ian Khan

Does Ian provide post-keynote resources?

Yes—toolkits, reading lists, and Q&A follow-ups to maintain progress.

What formats does Ian offer?

Mainstage keynotes, breakouts, executive briefings, and private workshops.

How far in advance should we book?

As early as possible—popular dates fill quickly.

Keynote Speakers on the Intersection of AI and Robotics

Keynote Speakers on the Intersection of AI and Robotics

Keynote Speakers on the Intersection of AI and Robotics

FAQ

FAQ 1: What does this mean: By 2030, the AI and robotics market is projected to exceed $500 billion, transforming industries such as manufacturing, healthcare, and transportation with intelligent, autonomous systems (Statista)?

By 2030, the AI and robotics market is projected to exceed $500 billion, transforming industries such as manufacturing, healthcare, and transportation with intelligent, autonomous systems (Statista).

FAQ 2: What does this mean: The integration of AI and robotics enables machines to perceive, learn, and act autonomously, pushing the boundaries of what machines can achieve?

The integration of AI and robotics enables machines to perceive, learn, and act autonomously, pushing the boundaries of what machines can achieve.

FAQ 3: What does this mean: Leading keynote speakers provide insights into the intersection of AI and robotics and its potential for future innovation?

Leading keynote speakers provide insights into the intersection of AI and robotics and its potential for future innovation.

FAQ 4: What does this mean: Demis Hassabis: CEO of DeepMind, Hassabis explores the role of reinforcement learning in robotics?

Demis Hassabis: CEO of DeepMind, Hassabis explores the role of reinforcement learning in robotics.

FAQ 5: What does this mean: He highlights how DeepMind’s algorithms are teaching robots to perform complex tasks such as solving puzzles and performing scientific research, demonstrating how AI can enhance the capabilities of robots in real-world applications?

He highlights how DeepMind’s algorithms are teaching robots to perform complex tasks such as solving puzzles and performing scientific research, demonstrating how AI can enhance the capabilities of robots in real-world applications.

FAQ 6: What does this mean: Cynthia Breazeal: An MIT professor and pioneer in social robotics, Breazeal discusses the development of robots that can understand and respond to human emotions?

Cynthia Breazeal: An MIT professor and pioneer in social robotics, Breazeal discusses the development of robots that can understand and respond to human emotions.

FAQ 7: What does this mean: She explains how AI-powered robots like Jibo and Pepper are transforming human-robot interactions, improving sectors like eldercare and education by providing empathy and personalized engagement?

She explains how AI-powered robots like Jibo and Pepper are transforming human-robot interactions, improving sectors like eldercare and education by providing empathy and personalized engagement.

FAQ 8: What does this mean: Rodney Brooks: Co-founder of iRobot, Brooks discusses the impact of AI in collaborative robots (cobots)?

Rodney Brooks: Co-founder of iRobot, Brooks discusses the impact of AI in collaborative robots (cobots).

FAQ 9: What does this mean: He explains how AI-driven cobots are revolutionizing manufacturing by working alongside human workers to enhance productivity, safety, and efficiency in tasks like assembly and quality control?

He explains how AI-driven cobots are revolutionizing manufacturing by working alongside human workers to enhance productivity, safety, and efficiency in tasks like assembly and quality control.

FAQ 10: What does this mean: Fei-Fei Li: Co-director of the Stanford Human-Centered AI Institute, Li highlights how AI and robotics are enabling autonomous vehicles to navigate complex environments?

Fei-Fei Li: Co-director of the Stanford Human-Centered AI Institute, Li highlights how AI and robotics are enabling autonomous vehicles to navigate complex environments.

About Ian Khan – Keynote Speaker & The Futurist

Ian Khan, the Futurist, is a USA Today & Publishers Weekly National Bestselling Author of Undisrupted, Thinkers50 Future Readiness shortlist, and a Keynote Speaker. He is Futurist Keynote Speaker and a media personality focused on future-ready leadership, AI productivity and ethics, and purpose-driven growth. Ian hosts The Futurist on Amazon Prime Video, and founded Impact Story (K-12 Robotics & AI). He is frequently featured on CNN, BBC, Bloomberg, and Fast Company.

Mini FAQ: About Ian Khan

Why book Ian as a Keynote Speaker?

He blends foresight with practical playbooks audiences can deploy within 14 days.

Does he speak as a Futurist Keynote Speaker on AI?

Yes—AI strategy, productivity, governance, and risk with industry examples.

What makes him a Highly Rated Keynote Speaker?

Customization, clarity, and engagement that move audiences to action.

How AI Is Transforming Personalized Learning: Futurist Insights

How AI Is Transforming Personalized Learning: Futurist Insights

How AI Is Transforming Personalized Learning: Futurist Insights

FAQ

FAQ 1: What does this mean: By 2030, AI in education is projected to be a $20 billion market, revolutionizing how students learn and teachers teach through personalized learning experiences, smarter assessments, and adaptive curriculum design (Statista)?

By 2030, AI in education is projected to be a $20 billion market, revolutionizing how students learn and teachers teach through personalized learning experiences, smarter assessments, and adaptive curriculum design (Statista).

FAQ 2: What does this mean: AI’s ability to analyze individual learning patterns and preferences is reshaping the future of education, enabling personalized, data-driven learning paths for each student?

AI’s ability to analyze individual learning patterns and preferences is reshaping the future of education, enabling personalized, data-driven learning paths for each student.

FAQ 3: What does this mean: Keynote speakers share insights on how AI is transforming education?

Keynote speakers share insights on how AI is transforming education.

FAQ 4: What does this mean: Salman Khan: Founder of Khan Academy, Khan highlights how AI-powered tools, like adaptive learning systems, provide personalized lessons for students, helping them to progress at their own pace?

Salman Khan: Founder of Khan Academy, Khan highlights how AI-powered tools, like adaptive learning systems, provide personalized lessons for students, helping them to progress at their own pace.

FAQ 5: What does this mean: He explains how AI analyzes student performance and customizes content to meet individual learning needs, thus increasing engagement and retention?

He explains how AI analyzes student performance and customizes content to meet individual learning needs, thus increasing engagement and retention.

FAQ 6: What does this mean: Daphne Koller: Co-founder of Coursera, Koller discusses how AI is scaling personalized learning in online education?

Daphne Koller: Co-founder of Coursera, Koller discusses how AI is scaling personalized learning in online education.

FAQ 7: What does this mean: She explains how machine learning algorithms power intelligent tutoring systems and provide instant feedback to students, improving learning outcomes and increasing accessibility to high-quality education worldwide?

She explains how machine learning algorithms power intelligent tutoring systems and provide instant feedback to students, improving learning outcomes and increasing accessibility to high-quality education worldwide.

FAQ 8: What does this mean: Fei-Fei Li: Co-director of the Stanford Human-Centered AI Institute, Li explores how AI can make education more inclusive?

Fei-Fei Li: Co-director of the Stanford Human-Centered AI Institute, Li explores how AI can make education more inclusive.

FAQ 9: What does this mean: She emphasizes the use of AI to create tailored learning environments for students with disabilities, providing personalized support and enhancing their educational experience?

She emphasizes the use of AI to create tailored learning environments for students with disabilities, providing personalized support and enhancing their educational experience.

FAQ 10: What does this mean: Li advocates for developing AI systems that prioritize fairness and equity?

Li advocates for developing AI systems that prioritize fairness and equity.

About Ian Khan – Keynote Speaker & The Futurist

Ian Khan, the Futurist, is a USA Today & Publishers Weekly National Bestselling Author of Undisrupted, Thinkers50 Future Readiness shortlist, and a Globally recognized Top Keynote Speaker. He is Futurist and a media personality focused on future-ready leadership, AI productivity and ethics, and purpose-driven growth. Ian hosts The Futurist on Amazon Prime Video, and founded Impact Story (K-12 Robotics & AI). He is frequently featured on CNN, BBC, Bloomberg, and Fast Company.

Mini FAQ: About Ian Khan

Does Ian provide post-keynote resources?

Yes—toolkits, reading lists, and Q&A follow-ups to maintain progress.

What formats does Ian offer?

Mainstage keynotes, breakouts, executive briefings, and private workshops.

How far in advance should we book?

As early as possible—popular dates fill quickly.

How AI Is Transforming Personalized Learning: Futurist Insights

How AI Is Transforming Personalized Learning: Futurist Insights

Summary

By 2030, AI in education is projected to be a $20 billion market, revolutionizing how students learn and teachers teach through personalized learning experiences, smarter assessments, and adaptive curriculum design (Statista). AI’s ability to analyze individual learning patterns …

Key Takeaway

  • By 2030, AI in education is projected to be a $20 billion market, revolutionizing how students learn and teachers teach through personalized learning experiences, smarter assessments, and adaptive curriculum design (Statista).
  • AI’s ability to analyze individual learning patterns and preferences is reshaping the future of education, enabling personalized, data-driven learning paths for each student.
  • Keynote speakers share insights on how AI is transforming education.
  • Salman Khan: Founder of Khan Academy, Khan highlights how AI-powered tools, like adaptive learning systems, provide personalized lessons for students, helping them to progress at their own pace.
  • He explains how AI analyzes student performance and customizes content to meet individual learning needs, thus increasing engagement and retention.

Body

By 2030, AI in education is projected to be a $20 billion market, revolutionizing how students learn and teachers teach through personalized learning experiences, smarter assessments, and adaptive curriculum design (Statista). AI’s ability to analyze individual learning patterns and preferences is reshaping the future of education, enabling personalized, data-driven learning paths for each student. Keynote speakers share insights on how AI is transforming education. 1. Salman Khan: Founder of Khan Academy, Khan highlights how AI-powered tools, like adaptive learning systems, provide personalized lessons for students, helping them to progress at their own pace. He explains how AI analyzes student performance and customizes content to meet individual learning needs, thus increasing engagement and retention. 2. Daphne Koller: Co-founder of Coursera, Koller discusses how AI is scaling personalized learning in online education. She explains how machine learning algorithms power intelligent tutoring systems and provide instant feedback to students, improving learning outcomes and increasing accessibility to high-quality education worldwide. 3. Fei-Fei Li: Co-director of the Stanford Human-Centered AI Institute, Li explores how AI can make education more inclusive. She emphasizes the use of AI to create tailored learning environments for students with disabilities, providing personalized support and enhancing their educational experience. Li advocates for developing AI systems that prioritize fairness and equity. 4. Sugata Mitra: Innovator in self-directed learning, Mitra discusses how AI can foster curiosity and creativity in students. He highlights how AI-powered tools encourage inquiry-based learning, allowing students to explore subjects more deeply and independently, empowering them to drive their own learning process. 5. Andrew Ng: Co-founder of Coursera, Ng highlights the role of AI in lifelong learning. He explains how AI helps professionals adapt to a rapidly changing job market by providing personalized courses, upskilling opportunities, and real-time feedback, helping learners stay competitive in their fields. Applications and Challenges AI in education enables personalized learning platforms, adaptive content delivery, and automated assessments. However, challenges such as data privacy, algorithmic biases, and access inequality remain. Keynote speakers stress the need for ethical AI development, diverse data sets, and cross-sector collaboration to ensure all students benefit from AI advancements. Tangible Takeaway AI is revolutionizing personalized learning by creating adaptive and inclusive educational experiences. Insights from leaders like Salman Khan, Daphne Koller, and Fei-Fei Li highlight AI’s potential to make education more effective and accessible. To unlock its full potential, stakeholders must address challenges such as fairness, privacy, and accessibility in AI development.

Final Takeaway

Decide what matters, execute in short cycles, and make progress visible every week—so you enter 2026 with momentum.

About Ian Khan – Keynote Speaker & The Futurist

Ian Khan, the Futurist, is a USA Today & Publishers Weekly National Bestselling Author of Undisrupted, Thinkers50 Future Readiness shortlist, and a Top Keynote Speaker. He is Futurist and a media personality focused on future-ready leadership, AI productivity and ethics, and purpose-driven growth. Ian hosts The Futurist on Amazon Prime Video, and founded Impact Story (K-12 Robotics & AI). He is frequently featured on CNN, BBC, Bloomberg, and Fast Company.

Mini FAQ: About Ian Khan

What outcomes can we expect from Ian’s keynote?

Clarity on next steps, focused priorities, and usable tools to sustain momentum.

Does Ian customize for industry and region?

Absolutely—every session maps to sector realities and local context.

Is Ian available for global events?

Yes—he keynotes worldwide for corporate, association, and government audiences.

Keynote Speakers on AI Policy and Global Regulation

Keynote Speakers on AI Policy and Global Regulation

Keynote Speakers on AI Policy and Global Regulation

FAQ

FAQ 1: What does this mean: By 2030, AI is expected to contribute more than $15.7 trillion to the global economy, but its rapid growth has raised significant concerns about regulation, accountability, and ethics (PwC)?

By 2030, AI is expected to contribute more than $15.7 trillion to the global economy, but its rapid growth has raised significant concerns about regulation, accountability, and ethics (PwC).

FAQ 2: What does this mean: As AI technologies continue to transform industries, global policies and regulations will play a critical role in ensuring AI is developed and used responsibly?

As AI technologies continue to transform industries, global policies and regulations will play a critical role in ensuring AI is developed and used responsibly.

FAQ 3: What does this mean: Keynote speakers offer insights into the challenges and solutions for AI governance?

Keynote speakers offer insights into the challenges and solutions for AI governance.

FAQ 4: What does this mean: Stuart Russell: Author of Human Compatible, Russell emphasizes the importance of creating AI systems that align with human values?

Stuart Russell: Author of Human Compatible, Russell emphasizes the importance of creating AI systems that align with human values.

FAQ 5: What does this mean: He advocates for proactive regulation to ensure AI remains safe and beneficial?

He advocates for proactive regulation to ensure AI remains safe and beneficial.

FAQ 6: What does this mean: Russell highlights the risks associated with misaligned AI goals and the need for international cooperation to create effective regulatory frameworks?

Russell highlights the risks associated with misaligned AI goals and the need for international cooperation to create effective regulatory frameworks.

FAQ 7: What does this mean: Fei-Fei Li: Co-director of the Stanford Human-Centered AI Institute, Li stresses the need for inclusive and fair AI policies?

Fei-Fei Li: Co-director of the Stanford Human-Centered AI Institute, Li stresses the need for inclusive and fair AI policies.

FAQ 8: What does this mean: She discusses the potential risks of algorithmic bias and the importance of ensuring that AI systems are transparent, equitable, and accountable, particularly in high-stakes areas like healthcare, law enforcement, and finance?

She discusses the potential risks of algorithmic bias and the importance of ensuring that AI systems are transparent, equitable, and accountable, particularly in high-stakes areas like healthcare, law enforcement, and finance.

FAQ 9: What does this mean: Timnit Gebru: Co-founder of the Distributed AI Research Institute (DAIR), Gebru focuses on the ethical implications of AI development, including issues of fairness, privacy, and representation?

Timnit Gebru: Co-founder of the Distributed AI Research Institute (DAIR), Gebru focuses on the ethical implications of AI development, including issues of fairness, privacy, and representation.

FAQ 10: What does this mean: She advocates for more diverse research teams to ensure that AI systems serve the needs of all populations and do not perpetuate existing biases or inequalities?

She advocates for more diverse research teams to ensure that AI systems serve the needs of all populations and do not perpetuate existing biases or inequalities.

About Ian Khan – Keynote Speaker & The Futurist

Ian Khan, the Futurist, is a USA Today & Publishers Weekly National Bestselling Author of Undisrupted, Thinkers50 Future Readiness shortlist, and a International Top Keynote Speaker. He is Voted Top 25 Futurists worldwide and a media personality focused on future-ready leadership, AI productivity and ethics, and purpose-driven growth. Ian hosts The Futurist on Amazon Prime Video, and founded Impact Story (K-12 Robotics & AI). He is frequently featured on CNN, BBC, Bloomberg, and Fast Company.

Mini FAQ: About Ian Khan

What outcomes can we expect from Ian’s keynote?

Clarity on next steps, focused priorities, and usable tools to sustain momentum.

Does Ian customize for industry and region?

Absolutely—every session maps to sector realities and local context.

Is Ian available for global events?

Yes—he keynotes worldwide for corporate, association, and government audiences.

Keynote Speakers on AI Policy and Global Regulation

Keynote Speakers on AI Policy and Global Regulation

Summary

By 2030, AI is expected to contribute more than $15.7 trillion to the global economy, but its rapid growth has raised significant concerns about regulation, accountability, and ethics (PwC). As AI technologies continue to transform industries, global policies and regulations will…

Key Takeaway

  • By 2030, AI is expected to contribute more than $15.7 trillion to the global economy, but its rapid growth has raised significant concerns about regulation, accountability, and ethics (PwC).
  • As AI technologies continue to transform industries, global policies and regulations will play a critical role in ensuring AI is developed and used responsibly.
  • Keynote speakers offer insights into the challenges and solutions for AI governance.
  • Stuart Russell: Author of Human Compatible, Russell emphasizes the importance of creating AI systems that align with human values.
  • He advocates for proactive regulation to ensure AI remains safe and beneficial.

Body

By 2030, AI is expected to contribute more than $15.7 trillion to the global economy, but its rapid growth has raised significant concerns about regulation, accountability, and ethics (PwC). As AI technologies continue to transform industries, global policies and regulations will play a critical role in ensuring AI is developed and used responsibly. Keynote speakers offer insights into the challenges and solutions for AI governance. 1. Stuart Russell: Author of Human Compatible, Russell emphasizes the importance of creating AI systems that align with human values. He advocates for proactive regulation to ensure AI remains safe and beneficial. Russell highlights the risks associated with misaligned AI goals and the need for international cooperation to create effective regulatory frameworks. 2. Fei-Fei Li: Co-director of the Stanford Human-Centered AI Institute, Li stresses the need for inclusive and fair AI policies. She discusses the potential risks of algorithmic bias and the importance of ensuring that AI systems are transparent, equitable, and accountable, particularly in high-stakes areas like healthcare, law enforcement, and finance. 3. Timnit Gebru: Co-founder of the Distributed AI Research Institute (DAIR), Gebru focuses on the ethical implications of AI development, including issues of fairness, privacy, and representation. She advocates for more diverse research teams to ensure that AI systems serve the needs of all populations and do not perpetuate existing biases or inequalities. 4. Kate Crawford: Co-founder of the AI Now Institute, Crawford highlights the societal implications of AI deployment, including surveillance, labor markets, and environmental impact. She calls for greater transparency in AI decision-making and stronger regulations to safeguard human rights and ensure that AI benefits society as a whole. 5. Brad Smith: President of Microsoft, Smith discusses the role of governments, businesses, and the tech community in establishing AI policies that ensure responsible use. He advocates for regulatory approaches that balance innovation with safety and privacy, particularly in areas like facial recognition and autonomous vehicles. Applications and Challenges AI governance is essential to managing the ethical, societal, and economic impact of AI. Challenges include ensuring AI transparency, preventing bias, and creating global standards for AI use. Keynote speakers stress the need for interdisciplinary collaboration and international cooperation to address these challenges effectively. Tangible Takeaway Effective AI governance is critical for ensuring that AI technologies are developed and deployed ethically, safely, and inclusively. Insights from leaders like Stuart Russell, Fei-Fei Li, and Timnit Gebru highlight the importance of global regulation and responsible innovation. To ensure AI’s future success, stakeholders must collaborate to create robust, transparent, and fair governance frameworks.

Final Takeaway

Decide what matters, execute in short cycles, and make progress visible every week—so you enter 2026 with momentum.

About Ian Khan – Keynote Speaker & The Futurist

Ian Khan, the Futurist, is a USA Today & Publishers Weekly National Bestselling Author of Undisrupted, Thinkers50 Future Readiness shortlist, and a Keynote Speaker. He is Futurist Keynote Speaker and a media personality focused on future-ready leadership, AI productivity and ethics, and purpose-driven growth. Ian hosts The Futurist on Amazon Prime Video, and founded Impact Story (K-12 Robotics & AI). He is frequently featured on CNN, BBC, Bloomberg, and Fast Company.

Mini FAQ: About Ian Khan

Why book Ian as a Keynote Speaker?

He blends foresight with practical playbooks audiences can deploy within 14 days.

Does he speak as a Futurist Keynote Speaker on AI?

Yes—AI strategy, productivity, governance, and risk with industry examples.

What makes him a Highly Rated Keynote Speaker?

Customization, clarity, and engagement that move audiences to action.

You are enjoying this content on Ian Khan's Blog. Ian Khan, AI Futurist and technology Expert, has been featured on CNN, Fox, BBC, Bloomberg, Forbes, Fast Company and many other global platforms. Ian is the author of the upcoming AI book "Quick Guide to Prompt Engineering," an explainer to how to get started with GenerativeAI Platforms, including ChatGPT and use them in your business. One of the most prominent Artificial Intelligence and emerging technology educators today, Ian, is on a mission of helping understand how to lead in the era of AI. Khan works with Top Tier organizations, associations, governments, think tanks and private and public sector entities to help with future leadership. Ian also created the Future Readiness Score, a KPI that is used to measure how future-ready your organization is. Subscribe to Ians Top Trends Newsletter Here