If you haven't read what the OpenAI CEO said, we recommend reading:

OpenAI CEO: AI Costs Are Plummeting 100x, Do You Still Need Human Colleagues?

Three Impacted Industries

1. Software Development and IT Industry

The rapid decline in AI costs will directly impact the software development and IT industry.

• Low-cost AI code generation: Tools like GitHub Copilot and ChatGPT Code Interpreter will become more powerful, even able to automatically develop complete applications, shortening development time.
• Automated testing and debugging: AI can perform large-scale testing, improve software quality, and reduce manpower requirements.
• Stronger IT security protection: AI-driven security systems will be more predictive and able to intercept potential threats in real-time.

As AI provides enhanced development capabilities, companies will become more reliant on AI to boost productivity, and the role of developers will shift from "writing code" to "AI-assisted management".

2. Content Creation and Media Industry

As AI becomes cheaper and more powerful, the content industry will undergo revolutionary changes.

• News and writing AI automation: Models like GPT-4 Turbo can quickly generate high-quality articles, and in the future, AI may replace some news writing and content editing tasks.
• Advancements in image and video generation: AI tools like Midjourney and Runway will further reduce the creation cost of visual content, making the film, animation, and advertising industries more dependent on AI.
• Personalized content recommendations: AI, through deep learning, can provide more user-preferred recommendations, improving the interaction rate and advertising conversion rate of content platforms.

In the future, creators will focus more on collaborating with AI, using AI to increase the speed and quality of content production, rather than relying solely on human creativity.

3. Medical and Biotechnology Industry

AI's influence in the medical industry is rapidly growing, and it may bring about a precision medicine revolution in the future.

• Reduced AI-based diagnosis costs: Image recognition technology makes it easier for AI to assist doctors in diagnosing diseases, such as X-ray interpretation and cancer screening.
• Faster new drug development: DeepMind's AlphaFold has demonstrated AI's potential in protein folding research, and in the future, AI can accelerate new drug development and reduce drug research and development costs.
• Personalized health management: AI will be able to analyze patients' genetic data and provide customized health recommendations and treatment plans.

As the operating costs of AI decrease, medical AI will be more easily adopted by small and medium-sized hospitals, driving the development of affordable healthcare.

Five Key AI Development Trends

1. AI Will Become "Invisible Infrastructure"

As AI costs plummet, various AI applications will become ubiquitous like "water and electricity". For example, websites, apps, self-driving cars, and smart customer service will all have built-in AI, and users may not even be aware of the AI's existence.

2. Artificial Intelligence + Internet of Things (AIoT)

In the future, AI will be more deeply integrated with the Internet of Things (IoT) to become AIoT, realizing more intelligent automation systems. For example, a smart home can automatically adjust lighting, air conditioning, and even predict appliance failures and notify maintenance in advance.

3. Multimodal AI Development

Current AI mainly focuses on text (like ChatGPT) and images (like Midjourney), but in the future, it will integrate voice, video, and 3D modeling data, allowing AI to more comprehensively understand and process information. For example, future AI may be able to instantly translate speech and generate corresponding subtitles, changing the way cross-language communication is done.

4. Low-cost AI Accelerates Enterprise Digital Transformation

Companies no longer need to invest heavily in expensive AI services, but can use cheaper, customizable AI tools. This will allow more SMEs to leverage AI to improve efficiency and reduce operating costs.

5. AI Governance and Ethical Challenges

As AI technology advances, governments and companies will face more regulatory and ethical issues, such as AI bias, data privacy, misinformation, and the abuse of deepfake technology. In the future, various countries may introduce AI transparency regulations to ensure the technology is not misused.

Conclusion: AI Cost Reduction, the Revolution Has Just Begun

Sam Altman's remarks indicate that the plummeting cost of AI will bring unprecedented industry disruption. Whether it's software development, content creation, or the medical industry, they will all face new transformations. The trends in the AI industry itself will also affect how people use technology, how companies develop, and even how laws are made.

Do We Still Need Human Colleagues in the Future?

The answer is "Yes, but the work model will change". As AI costs decrease, many repetitive tasks will be replaced by AI, and humans will focus more on creative, strategic decision-making, and interpersonal interaction - areas that AI cannot fully replace.

This AI revolution has just begun, and companies and individuals must actively adapt to the changes to stand out in the new era.

*This article was edited with the assistance of AI

〈The Rise of AI! 5-Minute Lazy Man's Guide: 3 Major Affected Industries, 5 Key Trends at a Glance!〉This article was first published on《NONE LAND Langchain》.