Daniel Will - Upgrading the AI Agent Era

Daniel Will - Upgrading the AI Agent Era
Google's major upgrade heralds the era of AI agents. Last week, the most significant event in the AI circle was Google's multimodal AI model, Gemini, with an overall upgrade exceeding expectations. Google's recent progress in artificial intelligence, especially the launch of the new multimodal AI model called Gemini, signifies a significant leap in capabilities for AI agents like Bard.

Gemini is designed to handle and combine various types of information, such as text, code, audio, images, and videos. It comes in three different sizes: Ultra, Pro, and Nano, tailored for a range of tasks from highly complex to efficient device operations.
The integration of Gemini Pro with Bard significantly enhances Bard's capabilities, enabling it to perform functions like planning routes, analyzing shopping choices, event planning, and flight analysis. Described as the most significant quality improvement since Bard's launch, the Gemini Pro-supported Bard currently offers an English version in over 170 countries and regions. The functionalities supported by Gemini Pro will expand to multimodal support, including text and images, in the coming months.
The upcoming Gemini Ultra, set to launch next year, is expected to achieve more complex multimodal reasoning abilities. Bard Advanced with Gemini Ultra will undergo a reliable testing program and additional security checks in early next year before a broader release, enabling Bard to understand and act upon different types of information, including text, images, audio, video, and code.
This shift indicates that as AI agents increasingly integrate into everyday life, various sectors, including advertising and e-commerce, have significant disruptive potential.
After the model's release, Google's Bard also underwent a significant upgrade and has, in a sense, become an AI agent. It can now help plan routes, analyze shopping, plan events, analyze flights, and more.
Consider the following scenarios:
Scenario 1:
"I want to see flights to Madrid to visit my aunt during the week of January 22. Also, any gift ideas for her? She likes dolphins and playing cards."
Bard would then provide feedback, combining information on flight searches and gift ideas.
Scenario 2:
"Help me plan a game night with five friends. I have dice and playing cards but no board games. I'm willing to buy a board game for under $100."
In the future, sharing ideas with Bard will lead to efficient handling and resolution, significantly boosting productivity. In the future, companies like Google, Microsoft, and Apple will become individual AI agents.
Not long ago, Bill Gates came out in strong support of AI agents. In a recent blog post, he mentioned AI personal assistants, stating that they would change the way we use computers. The core idea of AI agents is to interact with computers using natural language rather than relying on various different applications. This technology is expected to rapidly develop in the next five years, profoundly impacting the tech industry and society.
AI agents typically consist of three components, including natural language processing, machine learning, and artificial intelligence technologies. These agents can understand user needs and perform tasks such as answering questions, executing tasks, providing suggestions, etc. They can personalize responses to user needs, perform tasks across applications, and continuously improve.
The development of this concept will change our daily lives and work, making interactions with computers more natural and efficient. Bill Gates emphasizes the potential of AI agents, considering it a key direction for future artificial intelligence, surpassing traditional generative AI models.
Joseph Brian believes that within the next five years, everyone will have AI personal assistant agents, fundamentally changing our way of life. Agents will impact four major areas, including healthcare, education, productivity, entertainment, and shopping. In healthcare, agents will assist patients in basic triage and provide health advice, improving medical efficiency. In education, they will offer personalized learning guidance to students, helping teachers better plan their lessons. Additionally, agents will enhance entertainment and shopping experiences, making services more accessible and personalized. Agents will change how we interact with computers, disrupting the software industry and providing people with a more convenient and intelligent lifestyle.
AI personal assistant agents are a future technological trend that is expected to completely change how we interact with computers, making interactions more intelligent and natural.
The AI Wealth Club believes that in the era of AI agents, companies like Google, Microsoft, Apple, etc., will build generalized GPA platforms. On these generalized GPA platforms, there will be a batch of specialized vertical-class PAs (Personal Assistants) and SPAs (Specialized Personal Assistants) focusing on various scenarios.
In the AI agent era, global tech giants may construct generalized GPA (General Personal Assistant) platforms. These platforms can be seen as infrastructure supporting the development of various personal assistant applications, capable of performing a wide range of tasks and serving diverse user needs. Furthermore, these platforms will support a range of specialized vertical-class personal assistants (SPAs), providing more focused and in-depth services.
In the AI agent era, it is indeed possible to disrupt business models in advertising and e-commerce:

1. Shift in Advertising: GPA and SPA may alter traditional advertising delivery modes, as they can provide highly personalized recommendations based on users' specific needs and contextual environments. Ad content may lean towards a combination of users' immediate queries and long-term interests rather than through large-scale indiscriminate ad placements.
2. Personalized E-commerce Experience: E-commerce platforms will need to integrate with GPA and SPA to provide a seamless shopping experience. These AI agents can predict and recommend products based on user behavior and preferences, potentially reducing or replacing traditional search and browsing methods.
3. Consumer Decision Process: By offering filtered information and purchase advice, AI agents may become a key influencing factor in the consumer decision-making process. This will impact the consumer's purchasing path, making consumer decisions more reliant on AI agent input.
4. Data-Driven Marketing: Companies will need to collect and analyze more data to effectively target and attract consumers on these platforms. Marketing strategies will become more data-driven, emphasizing real-time analysis and personalization.
5. Supply Chain and Inventory Management: With AI agents accurately predicting user demands, e-commerce businesses will be able to more efficiently manage inventory and supply chains to meet personalized demands.
6. Privacy and Data Security: As AI agents play a more central role in daily life, the privacy and security of user data will become a crucial issue. Companies will face pressure to protect user data and comply with stricter data protection regulations.
   The emergence and development of GPA and SPA may lead to significant adjustments in business models, customer relationship management, and market strategies. Businesses must adapt to these technological developments to remain competitive and meet the future demands of consumers.
   In the PA model, companies need to adapt to new market dynamics, innovate their products, services, and marketing strategies. Simultaneously, this presents significant opportunities for enterprises that can leverage PA technology to enhance the user experience.
   The AI Wealth Club continues to recommend embracing the tidal wave of AIGC in general, not foretelling without reason; the future is here.
   This transformation is not just a gradual change but a revolutionary wave reshaping how we interact with technology and conduct business.