The Most Important (not hype) AI Trends In 2024

Tina Huang
23 Mar 202416:13

TLDRThe video discusses the current AI trends and their practical applications, highlighting Microsoft co-pilot as an example of AI integration into existing products. It emphasizes the importance of AI in sectors like healthcare, sustainability, and education, and suggests that AI will become more prevalent in niche use cases and productivity enhancement. The video also touches on the challenges of shadow AI and copyright issues, and the need for improved safety, privacy, and security measures in AI development and deployment.


  • 📈 AI trends are often hyped in the media, but it's essential to discern which developments are truly impactful for businesses and individuals.
  • 🚀 Generative AI offers unique opportunities and solutions, but it's not a one-size-fits-all; its applications will vary depending on the specific needs and contexts.
  • 📊 Microsoft Co-Pilot is an example of AI integration into existing products, enhancing productivity by simplifying tasks like data analysis and presentation creation.
  • 🌐 Vertical AI integration is the trend of incorporating AI into specific niche use cases, which can significantly improve efficiency and accessibility without being overtly visible to the end-user.
  • 🏥 Healthcare, sustainability, and education are three industries expected to see substantial advancements and transformations due to AI integration.
  • 🛠️ There is a growing demand for support roles in AI development, such as AI researchers, engineers, data analysts, and MLOps specialists, as AI continues to evolve and expand.
  • 🔒 Addressing concerns about safety, privacy, and copyright in AI is crucial; open-source and local AI models are emerging as alternatives to tackle these issues.
  • 💡 The AI job market is not limited to technical roles; opportunities exist in helping businesses integrate AI through no-code and low-code tools, making AI adoption more accessible.
  • 🌍 Global AI trends and adoption are shifting, with developing countries like India and China showing rapid integration and application of AI technologies.
  • 📈 The Hype Cycle of Emerging Technologies indicates that while AI may currently be at the peak of inflated expectations, continued innovation will lead to more stable and productive use cases.

Q & A

  • What is the main concern discussed in the beginning of the transcript regarding AI trends?

    -The main concern discussed is whether the constant news about AI being the 'biggest news ever' is actually worth the time and energy to keep up with, as it can be stressful for many people.

  • What does the speaker mention about the current status of generative AI in the hype cycle of emerging technologies?

    -Generative AI is currently at the peak of inflated expectations and is about to slip into the trough of disillusionment in the hype cycle of emerging technologies.

  • How does the speaker describe the future role of generative AI according to a recent blog article from IBM?

    -The speaker quotes the IBM blog article saying that generative AI offers unique opportunities and solutions, but it will not be for everything or everyone, implying that it's not as universally transformative as some might believe.

  • What is the significance of Microsoft co-pilot for the speaker's work?

    -Microsoft co-pilot significantly saves the speaker time by allowing them to do simple analyses in Excel and create PowerPoint presentations with minimal effort, despite their background in computer science and data science.

  • What are the three industries mentioned as having the most development potential due to AI?

    -The three industries are healthcare, with AI assisting in drug development and personalized treatment; sustainability, with AI aiding in solving long-standing climate change issues; and education, where AI can provide personalized tutoring and adapt to various learning styles.

  • What is vertical AI integration, and why is it considered remarkable?

    -Vertical AI integration refers to the incorporation of AI into existing products or specific niche use cases, which may not be immediately noticeable but can greatly enhance productivity and accessibility for many people.

  • How does the speaker demonstrate the use of 10 web to create a website?

    -The speaker uses 10 web to quickly generate a fully functional WordPress website for an educational blog about AI trends, highlighting the ease of use and no-code requirement for setting up and editing the site.

  • What is Shadow AI, and why is it a problem?

    -Shadow AI refers to the unofficial, personal use of AI tools by employees in the workplace, often against company policy. It's a problem because it can lead to security and privacy breaches, as well as potential misuse of copyrighted material.

  • How is the U.S. government addressing AI safety and privacy?

    -The U.S. government, under the Biden Administration, has issued an Executive Order detailing 150 requirements for the use of AI in federal agencies, emphasizing safety, privacy, and security, and requiring AI developers to share safety results with the government before public release.

  • What opportunities are emerging in response to the pushback trends towards generative AI?

    -Opportunities are emerging in developing open-source and local AI models, fine-tuning AI for specific needs, and providing support roles in AI development, engineering, data analysis, and machine learning operations (MLOps).

  • What is the global trend in AI adoption mentioned in the transcript?

    -The global trend is that while new technologies are often developed in the United States, they tend to be adopted faster in developing countries like China and India, with India showing a high rate of AI adoption among enterprises.



🤖 AI Trends: Separating Hype from Reality

This paragraph discusses the prevalence of AI news and the challenge of keeping up with the rapid pace of developments. It highlights the stress that comes with trying to stay informed about every AI advancement and suggests that not all trends may be worth the effort. The video aims to identify key AI trends and job opportunities within these trends. It introduces the concept of the hype cycle of emerging technologies and places generative AI at the peak of inflated expectations. The speaker acknowledges the potential of AI while urging a balanced approach to engaging with new developments.


💡 Transforming Industries with AI Integration

The focus of this paragraph is on the transformative power of AI in various industries. It emphasizes the potential of AI to develop new medicines, offer personalized healthcare, and provide insights into long-standing diseases. The paragraph also discusses the role of AI in sustainability, predicting better solutions for climate change. Additionally, it explores the impact of AI on education, suggesting a future where personalized tutoring is accessible to everyone, regardless of their background. The speaker provides a detailed look at three industries—healthcare, sustainability, and education—that are expected to see significant AI-driven advancements.


🛠️ Navigating AI's Impact on Productivity and Privacy

This paragraph delves into the practical applications of AI in enhancing productivity, as exemplified by Microsoft's co-pilot, which assists in report generation and PowerPoint presentations. It also touches on the concept of vertical AI integration, where AI is incorporated into existing products and niche use cases. The speaker discusses the importance of safety and privacy in AI development, mentioning the Biden Administration's Executive Order and the voluntary commitments by tech companies to adhere to trust and security guidelines. The paragraph highlights the challenges posed by 'Shadow AI'—unofficial use of AI tools within companies—and the ongoing debates around the use of copyrighted material in AI training.


🌐 Global AI Adoption and the Future Landscape

The final paragraph examines global trends in AI adoption, noting that while technologies are often developed in the United States, they are sometimes adopted more rapidly in developing countries like China and India. It references an IBM study that shows a high rate of AI adoption among Indian enterprises. The speaker suggests that this pattern of technology development and adoption could continue, with implications for the future landscape of AI. The paragraph concludes by encouraging viewers to consider these global trends and to share their experiences with technology adoption in their countries.



💡AI Trends

AI Trends refer to the current and emerging patterns in the development and application of artificial intelligence technologies. In the video, the discussion of AI Trends focuses on how AI is increasingly integrated into everyday products to boost productivity, such as through Microsoft co-pilot, and how it is being adopted in various industries like healthcare, sustainability, and education. The video also explores the concept of vertical AI integration and its potential to transform these sectors significantly.

💡Hype Cycle

The Hype Cycle is a graphical representation that illustrates the maturity and adoption of new technologies over time. In the context of the video, it is used to depict the journey of generative AI from the peak of inflated expectations to the trough of disillusionment and eventually towards a more stable plateau of productivity. The video suggests that while AI has been subject to much hype, its long-term impact will likely be more nuanced and focused on practical applications.

💡Microsoft co-pilot

Microsoft co-pilot is a tool mentioned in the video that exemplifies the trend of AI integration into existing products to enhance user experience and efficiency. It is designed to assist users in performing tasks such as data analysis and presentation creation within Microsoft Office applications like Excel and PowerPoint. The video describes how co-pilot can save time by automating tasks and generating visual content, thereby increasing productivity for individuals and businesses.

💡Vertical AI Integration

Vertical AI Integration refers to the incorporation of artificial intelligence into specific industries or niche areas to improve existing processes and products. The video highlights this as a significant trend, suggesting that AI will become more prevalent in enhancing productivity and enabling new capabilities in sectors like healthcare, sustainability, and education. It contrasts with the development of standalone AI gadgets, emphasizing the transformative potential of integrating AI into established systems and workflows.


In the context of the video, Healthcare is one of the industries identified as having significant potential for AI integration and development. AI is already being used to aid in the discovery of new medicines and drugs, manage and analyze large datasets, and provide personalized healthcare solutions. The video suggests that AI will continue to offer unique opportunities and solutions in healthcare, contributing to long-standing challenges such as disease management and treatment personalization.


Sustainability is another key industry discussed in the video where AI is expected to have a substantial impact. The video mentions that AI can help develop innovative solutions to address climate change and other environmental challenges that have persisted for decades. By integrating AI into sustainability efforts, there is potential for more effective policy development, technological advancements, and global cooperation towards environmental goals.


Education is highlighted in the video as an industry poised for transformation through AI integration. The potential of AI to democratize education by providing personalized tutoring and catering to different learning styles is discussed. The video also mentions the development of tools like Khan Academy's personalized tutor, which could greatly benefit individuals with learning disabilities and enable teachers to share knowledge and improve curriculums. AI in education could fundamentally change how teaching and learning are conducted, making education more accessible and tailored to individual needs.

💡Shadow AI

Shadow AI, as described in the video, refers to the unofficial and personal use of AI tools by employees within a workplace, often in violation of company policies. The video points out that despite bans on certain AI applications, many employees continue to use them to improve efficiency and speed up tasks. This creates challenges around safety, privacy, and copyright, as AI's use in such contexts may not adhere to the necessary security and ethical standards established by the company or regulatory bodies.

💡Safety and Privacy

Safety and Privacy are critical concerns discussed in the video regarding the use of AI technologies. The video mentions the Biden Administration's Executive Order, which outlines extensive requirements for AI use in federal agencies, emphasizing the importance of trust and security in AI development. It also highlights the voluntary commitments made by AI developers to adhere to certain guidelines, reflecting a growing awareness and response to the potential risks associated with AI, including data breaches and misuse of personal information.


Copyright is a legal concept that protects original works from unauthorized use or reproduction. In the video, it is discussed as a contentious issue in the context of AI, particularly concerning the training of AI models using copyrighted material. The video mentions lawsuits against companies like OpenAI and Microsoft for alleged misuse of copyrighted content, highlighting the ongoing debate over the ethical and legal implications of using such material in AI development.

💡AI Jobs and Opportunities

The video discusses the creation of new job roles and opportunities in the AI sector, such as AI researchers, engineers, data analysts, and data scientists. It also touches on the rise of support roles due to the increasing integration of AI into various industries. The video suggests that there is significant growth in these areas, with a focus on open-source models and local AI solutions. It also mentions the potential for non-technical roles in helping companies integrate AI into their operations, including through no-code and low-code tools.

💡Global AI Adoption

Global AI Adoption refers to the widespread implementation of AI technologies across different countries and regions. The video cites an IBM study that indicates countries like India have a high rate of AI adoption in enterprises, suggesting that the trend of developing countries rapidly adopting new technologies may continue. This highlights the importance of paying attention to global AI trends and the potential for certain regions to lead in the application and integration of AI, influencing the future landscape of technology and innovation.


The discussion on whether the AI news hype is worth the time and energy to keep up with, and how it can be stressful for some people.

The mention of TenWeb's sponsorship and how it can be used to make a website in literally 1 minute.

The illustration of the Hype Cycle of Emerging Technologies graph and where generative AI currently fits in.

The realistic expectation that generative AI offers unique opportunities but not for everything or everyone.

The introduction of Microsoft co-pilot for individuals and its release in February 2024.

The practical example of how Microsoft co-pilot saves time in report analysis and PowerPoint presentations.

The concept of vertical AI integration and its significance in increasing productivity and making things more accessible.

The three industries identified by experts to have significant development due to AI: healthcare, sustainability, and education.

The example of vertical AI integration in creating websites and the demonstration using 10 web.

The importance of safety and privacy trends, with the Biden Administration's comprehensive Executive Order and AI developer companies' voluntary commitments.

The challenge of Shadow AI, which refers to the unofficial personal use of AI in the workplace by employees.

The debate on the usage of copyrighted material to train AI models and the legal issues surrounding it.

The opportunities in addressing concerns about security, privacy, and copyright through open-source models and local models.

The increasing need for support roles in AI like AI researchers, engineers, data analysts, and data scientists.

The potential of no code and low code tools in integrating AI into businesses for those who are not highly technical.

The global trend of technology being developed in the United States and adopted faster in developing countries like China and India.

The conclusion that the future of AI is hard to predict but focusing on global AI trends and adoptions is essential.