Let’s explore some pros and cons, what's really possible & what's hype, and some pin points beginners should know before jumping into Trading with AI.

The Advantages and Disadvantages

Advantages in short: Workflow Speed & Processing, 24/7 Activeness, Trends and Patterns Recognition, Risk Management, Cost Cutting and Emotionless Performance.

• As AI can read and analyze huge amounts of data in a short time, it becomes the core advantage in this case. For market understanding, financial data, historical data, real-time news, market trends and many more things are key notes. So, AI can make well informed decisions much faster and instantly.
  
  It keeps running 24/7 for us, catches complicated market patterns and trends way better than an expert trader sometimes. Thus, AI trading systems can perform dynamic on choosing strategies depending on real time data analysis. Being continuous on reading market-moves, AI can predict risks and adapt position sizes or maybe stop losses. That's how investments are quite protected.
  
  AI reduces costs! Less requirement of human oversight and physical resources are a deep benefit of automations. Labor and operational costs are low. And moreover, its consistent and disciplined based on data and predefined criteria. No space for emotion such as greed or fear!!

Disadvantages in short: Over-reliance on Past Data, Lack of Human Intuition & Transparency, Cybersecurity Risks and High Development Costs.

• AI is all about data, It totally lives depending on data. Here is the first disadvantage, hits hard !! Automated systems may lose accuracy while facing unforeseen shifts. The trading market is not set in a boundary. Unexpected crises come without knocking!! Past data aren't always enough to predict future events. AI can't understand contexts sometimes that we humans can apply for mostly unique situations or maybe different external facts.
  
  Another big issue is, difficulty to understand AI made decisions. Those systems might not be transparent in the decision making process. So, strategy adjustments might be challenging for traders. And traders lose trust in strategies. Every individual trader goals in different visions, risk tolerances. Automated trading systems often apply generalized strategies that may not align with every individual.
  
  Cybersecurity is another big factor. Trading bots or automated systems may face risks from data breaches, malicious manipulations, hacking which can affect performance and bring loss. To prevent this, creating and maintaining effective AI trading systems are needed, especially for big projects. That brings expense and technical demands. 

AI trading systems bring impressive capabilities but also involve hype and important beginner considerations.

Possibilities and Hypes

Possibilities: 

• AI’s ability of rapid data processing is really great for instant decision making if the strategy involves proper human observation.
• As it runs nonstop, pattern recognitions are highly advanced than human eyes. And eliminated emotional biases.
• It learns to adapt to market conditions shifting continuously over time. The system uses executions, management, backtesting, analysis and data’s to optimize its performance.  

Hypes: 

• Automated AI systems can't guarantee 100% profit like “set it and forget it” success. Events like geopolitical crises or events like this are not predictable, that can disrupt automated systems fully dependent on past data.
• The idea that AI can fully replace human oversight and provide crystal-clear future prediction is misleading, human supervision is essential for consistent returns.
• AI for the trading sector is not a magical black box as many marketing promises. These models need consistent tuning, monitoring and quality data input. 

For people who thinks to jump into the Trading with AI or at very early stage:  

• Starting with a solid understanding of fundamentals and trading(with AI) basics with key terms and strategies are important. 
• Beginning with an user friendly platform and with demo bots for learning basic functioning is a wise decision. Save real capital as long as possible. 
• Set easy and clear goals that align with personal trading aims. Get better on risk tolerance and customize strategies by time. 
• Reliance blindly on automated systems can be harmful for long term goals. Keep testing and adjusting strategies until it fits your aim and be constant on monitoring systems performance. 
• Be aware of cybersecurity risks, technical failures and AI limitations. Keep learning trading skills alongside leveraging AI tools. 

In short, AI trading isn't a magic solution but a powerful aid. With education, caution and active oversight the right approach comes.