Could stock analysts be replaced by AI?
Generative AI isn't going to replace data analysts. It can help analysts be more effective, but it lacks human insights and knowledge to properly do the job. Generative AI will not replace data analyst jobs, nor will it replace people in many other fields, especially ones requiring human empathy and insight.
The key takeaways of our paper is that analysts' jobs are meaningfully change in response to AI. To a much greater extent, analysts are relying on their soft skills – ones that cannot be automated – to engage with management and clients rather than to produce more forecasts.
Not to mention, human financial analysts bring creativity and critical thinking AI doesn't tend to possess. So, it is unlikely that AI will fully replace financial analysts, or at least any time in the near future. Instead, they may work together to improve efficiency and accuracy in decision-making processes.
Rather than replacing human traders, AI is likely to augment their capabilities. Traders can leverage AI tools to process data quickly, identify patterns, and generate insights, allowing for more informed decision-making.
The top five jobs most exposed to AI in general include management consultants and business analysts, financial managers, accountants, and psychologists.
AI stock trading systems incorporate risk management strategies to control the exposure to potential losses. Risk management algorithms can adjust the position sizes or stop-loss levels based on market conditions and individual risk tolerance.
Using AI in the stock market, the asset management company witnessed an accuracy rate of over 80% in predicting stock price movements and generated an average annual return of 15% compared to the previous year.
While AI technology may be rapidly transforming the financial sector, it is highly unlikely that human financial advisors will become obsolete anytime soon. The future of this industry lies in a combination of AI-driven solutions and human expertise — the ideal blend of tech-powered precision and personalized advice.
Unsurprisingly, many low-skill, repetitive jobs like data entry, telemarketing, customer service, and assembly line workers are likely to be replaced by AI and robots pretty soon. Even jobs that require technical skills are primed for AI automation.
AI can automate some duties of economists alright, but the information set on which the AI models are trained has been developed by human economists, and AI cannot substitute for that. So it is unlikely that AI will completely replace economists in the future.
What jobs are AI proof?
- Nurse Practitioners: 45.7%
- Choreographers: 29.7%
- Physician Assistants: 27.6%
- Mental Health Counselors: 22.1%
- Nursing Instructors and Teachers, Post-Secondary: 21.5%
- Coaches and Scouts: 20%
- Athletic Trainers: 17.5%
- Physical Therapists: 16.9%
White-Collar Jobs That Are Less Likely To Be Impacted By AI
Roles that require a significant social or emotional component are less susceptible to automation due to the human element involved, such as therapists, counselors, social workers and teachers.
However, some careers that are likely to be in demand in 2030 include those in the following fields: Technology: As technology continues to advance and play a larger role in society, careers in fields such as artificial intelligence, machine learning, data science, and cybersecurity are likely to be in high demand.
According to a recent report of 750 business leaders using AI from ResumeBuilder, 37% say the technology replaced workers in 2023. Meanwhile, 44% report that there will be layoffs in 2024 resulting from AI efficiency. But even amid reports of AI-inspired layoffs, many experts disagree with Musk's view.
Whether AI will create or destroy jobs is a complex question with no definitive answer. Both scenarios have merit, and the ultimate impact will likely depend on several factors, including the pace of technological advancement, economic conditions, and our ability to adapt.
ChatGPT, an AI language model, is being used by companies to replace certain job roles and has the potential to perform many more. However, job roles that require human qualities such as emotions, empathy, creativity, critical thinking, and innovation are unlikely to be replaced.
Accurate stock price prediction is extremely challenging because of multiple (macro and micro) factors, such as politics, global economic conditions, unexpected events, a company's financial performance, and so on. But all of this also means that there's a lot of data to find patterns in.
| Ticker | Company | Performance (Year) |
|---|---|---|
| NVDA | NVIDIA Corp | 287.22% |
| SOUN | SoundHound AI Inc | 267.76% |
| SYM | Symbotic Inc | 177.62% |
| AVAV | AeroVironment Inc. | 79.01% |
It's that the technology has struggled to crack the actual business of investing for years. Machines get bamboozled by noisy markets and can be caught off guard by fickle trends. Another woe: finance—surprisingly—sometimes lacks the oceans of data that underpins AI technology.
ai's stock price in 2025. Opinions on C3. ai's future stock price are varied across different sources: According to Yahoo Finance, the median 12-month forecast for C3.ai is $115, with a high estimate of $166 and a low estimate of $572.
Can GPT 4 predict stocks?
Integration with GPT-4 API
After training the Random Forest Regressor model and enabling it for predictions, we will integrate it seamlessly with the GPT-4 API. This integration facilitates the model to analyze and predict stock prices and communicate these insights effectively to the users.
In the U.S. stock market, about 70% of the comprehensive trading volume is initiated through algorithmic trading.
However, it is important to note that AI cannot completely replace human judgment and creativity in many aspects of finance, such as strategic planning, risk management, and relationship building. As such, many finance jobs will still require human skills and expertise in the future.
Global banking and investment firm Goldman Sachs estimates that global investment in AI could reach $200 billion by 2025 (next year!), double the amount invested in the field in 2022. Forecasts by Zion Market Research suggest that this total could more than double again to $422 billion by 2028.
Like market research analysts, financial analysts, personal financial advisors, and other jobs in personal finance that require manipulating significant amounts of numerical data can be affected by AI, Muro, the researcher at The Brookings Institution, said.
