AI Expert Explains Future Programming Jobs… and Python

Summary

The video discusses how AI is poised to transform industries beyond tech and consumer software. It explains how new low-code/no-code tools will enable small and mid-sized companies to deploy AI, creating a long tail of $5 million custom projects. The speaker envisions thousands of new firms providing specialized AI solutions, requiring developers skilled in python and cloud platforms. He encourages viewers to skill up in python which, unlike lower-level languages, enables rapid AI application development and deployment. A free blueprint is offered to guide complete beginners through learning python and achieving cloud certification.

Takeaways

• 😀 AI is creating opportunities in sectors beyond tech/consumer software that haven't been impacted yet
• 👨‍💻 Being a proficient developer with Python and ML knowledge will be advantageous
• 🍕 AI projects in other sectors may be smaller ($5M) but more numerous
• 🛠️ Low/no code tools are making custom AI solutions for niche sectors feasible
• 🏭 Specialized AI consulting firms will emerge to serve various industries
• 💻 Python leads in ML because it has easy to use libraries and caters to non-traditional developers
• 🔌 Python tools often use performant C/C++ in the background
• ☁️ Deploying trained models at scale requires cloud infrastructure knowledge
• 💡 Non-web dev pathway starting with Python & cloud certs is viable
• 🎓 Free blueprint provided for learning Python, tools, and getting certified

Q & A

What is the main argument made about AI and job opportunities in the video?

The main argument is that while AI might be perceived as a threat to jobs, it actually opens up many new opportunities in sectors that have not yet been significantly impacted by AI. Proficiency in development and understanding of AI and machine learning, especially in languages like Python, positions individuals to capitalize on these emerging opportunities.

Who is mentioned as a globally recognized leader in AI in the video, and what is their contribution?

Andrew Ng is mentioned as a globally recognized leader in AI. He's highlighted for giving a talk on the potential for AI across various sectors that haven't been heavily impacted by AI technology yet.

What examples of future AI projects are mentioned in the video?

Examples include a pizza maker using AI to ensure even cheese distribution on pizzas, an agriculture company using AI to determine the optimal height to chop wheat for increased food production and environmental benefits, and projects related to materials grading like cloth and sheet metal.

Why does the traditional model of hiring many engineers for a single large-scale software project not apply to these future AI projects?

The traditional model doesn't apply because these future AI projects are more specific and smaller in scale, making the high cost of customization for such projects unfeasible. These projects do not cater to massive user bases like internet consumer software, requiring a different approach.

How do low code and no code tools relate to future AI projects according to the video?

Low code and no code tools are exciting developments that enable users to customize AI systems more easily for specific use cases. These tools allow for more niche AI solutions to be developed and maintained by smaller teams or even the end-users themselves, making AI more accessible to various sectors.

What is the significance of Python in AI development as discussed in the video?

Python is highlighted as the language of choice for AI development due to its extensive libraries and frameworks that simplify machine learning and data analysis tasks. Its ease of use and the ability to run on top of performance-enhancing languages like C++ make it particularly valuable for AI research and application development.

What unique AI application examples are provided to illustrate the diverse potential of AI?

Unique applications include Amore AI, a relationship coaching app, and Bear.a, an app designed to make ships more fuel-efficient by optimizing their routes. These examples demonstrate AI's potential beyond traditional tech and consumer software sectors.

What does the video suggest about the future landscape of AI in industries outside of tech and consumer software?

The video suggests a vast and largely untapped potential for AI applications across a wide range of industries outside of the traditional tech and consumer software sectors. It implies that these sectors will experience significant transformation and benefit from AI technology in the future.

How does the video propose individuals prepare for the opportunities AI is creating?

The video proposes that individuals prepare by becoming proficient developers, gaining a basic understanding of language models or machine learning, and becoming very proficient in a programming language like Python. It also suggests focusing on emerging AI tools and obtaining cloud certifications.

What free resource is offered at the end of the video, and what does it promise?

At the end of the video, a free blueprint is offered that promises to take beginners from scratch through learning Python, other industry-level tools, and obtaining a legitimate cloud certification. This blueprint aims to prepare individuals for the job market with the necessary skills for the future AI-driven industry.