Investing in Artificial Intelligence (AI)

[StudentTrader]

Artificial intelligence (AI) is rapidly becoming one of the most transformative technologies of our time, and it is poised to create many new investment opportunities in the near future.

AI has the potential to revolutionize a wide range of industries, from healthcare and finance to transportation and manufacturing. In finance, AI can be used to improve risk management, automate investment decisions, and identify new investment opportunities that would be difficult for humans to detect. For example, AI-powered algorithms can analyse large amounts of data and identify patterns that humans might miss, making it possible to identify undervalued stocks or predict market trends with greater accuracy.

One way to discover investment opportunities in AI is to look for companies that are investing heavily in the technology. Many companies are now using AI to improve their products and services, and these companies are likely to be well-positioned to take advantage of the growth opportunities that AI will create. Investors can also look for companies that are developing new AI-powered products or services, such as companies working on self-driving cars or personalized medicine.

Another way to discover investment opportunities in AI is to look for companies that are using AI to disrupt traditional industries. For example, companies that are using AI to automate repetitive tasks or to improve the efficiency of existing processes may be able to gain a competitive advantage and generate significant returns for investors.

Investors can also look for companies that are working on cutting-edge AI technologies such as natural language processing, machine learning, computer vision, and reinforcement learning. These technologies have the potential to drive the next wave of innovation in AI, and companies that are leading the way in these areas may be well-positioned to capitalize on the growth opportunities that will arise.

Investing in AI can be risky, but with careful research and due diligence, investors can discover investment opportunities that offer the potential for high returns. It is important to keep an eye on the developments in AI, to better understand the technology, the potential applications and the opportunities it will create.

Investors can also invest in exchange traded funds (ETFs) or in mutual funds that invest in companies that are working on AI. This way they can diversify their portfolio and reduce the risk of investing in a single company.

In conclusion, as AI continues to evolve and become more widely adopted, it will create many new investment opportunities for investors. By keeping an eye out for companies that are investing heavily in AI, disrupting traditional industries, and working on cutting-edge technologies, investors can discover these opportunities and potentially capitalize on the growth that AI will create in the near future.

 

[divs4ever]

i would avoid investing in AI for AI's sake , but rather a company incorporating AI to improve an already profitable business

i got burned by several 'green-tech' companies that became R&D tax-shelters/black-holes ( i suspect AI will be the next dot.com bubble ).

besides AI mostly works by first dumbing down the population ( by making them lazy , experience is gained from making mistakes )

 

[StudentTrader]

AI could disrupt many industries, here is a few:

1. Automotive: AI-powered self-driving cars could disrupt the traditional automobile industry by reducing the need for human drivers and leading to a decline in car ownership. This could also lead to new business models such as ride-sharing and car-sharing services.
2. Banking and Finance: AI can be used to improve risk management, automate investment decisions, and identify new investment opportunities. This could lead to a reduction in the number of human financial analysts and traders, and an increase in the use of robo-advisers for investment management.
3. Healthcare: AI can be used to analyze medical data and identify patterns that humans might miss. This can lead to the development of personalized medicine, and the ability to detect diseases earlier and more accurately. Additionally, AI can be used to automate repetitive tasks such as data entry, freeing up medical professionals to focus on more important tasks.
4. Retail: AI-powered personal shopping assistants and chatbots can help retailers to improve customer service and increase sales. Additionally, AI-powered predictive analytics can help retailers to better understand customer behavior and preferences, allowing them to tailor their product offerings and marketing strategies more effectively.
5. Manufacturing: AI can be used to optimize production processes, improve quality control, and reduce costs. This can lead to more efficient and cost-effective manufacturing, and the ability to produce goods at a faster pace and lower cost.
6. Transportation: AI-powered self-driving cars and drones can disrupt the traditional transportation industry by reducing the need for human drivers and leading to new business models such as ride-sharing and delivery services. Additionally, AI can be used to optimize routing and scheduling for transportation companies, leading to more efficient and cost-effective transportation.
7. Energy: AI can be used to optimize the use of renewable energy sources, improve energy efficiency, and reduce costs. This can lead to more sustainable and cost-effective energy production and consumption.
8. Agriculture: AI can be used to optimize crop yields, improve the efficiency of farming operations, and reduce costs. This can lead to more sustainable and cost-effective agriculture.
9. Insurance: AI can be used to analyze data and identify patterns that humans might miss. This can lead to the development of more accurate and personalized insurance products and the ability to detect fraud more effectively.
10. Telecommunications: AI can be used to optimize network operations, improve customer service, and reduce costs. This can lead to more reliable and cost-effective telecommunications services.
11. Logistics: AI can be used to optimize routing and scheduling for logistics companies, leading to more efficient and cost-effective transportation. Additionally, AI-powered autonomous vehicles and drones can disrupt the traditional logistics industry by reducing the need for human drivers and leading to new business models such as drone delivery services.
12. Real Estate: AI can be used to analyze data and predict real estate trends, allowing agents and investors to make more informed decisions. Additionally, AI-powered virtual assistants can help real estate agents to automate repetitive tasks, such as scheduling appointments and responding to inquiries.
13. Media and Entertainment: AI can be used to analyze data and identify patterns that humans might miss. This can lead to the development of more personalized and targeted content, as well as the ability to detect and remove fake news.
14. Education: AI can be used to personalize learning and improve student engagement, as well as automate repetitive tasks such as grading and administrative work.
15. Government and Public Services: AI can be used to improve the efficiency of government operations, such as fraud detection, tax collection, and service delivery. Additionally, AI-powered chatbots can be used to improve customer service and help citizens access information

and a few more......

1. Construction: AI can be used to optimize building design, improve safety and reduce costs. Additionally, AI-powered drones and robots can be used to improve site surveying, monitoring and inspection tasks.
2. Food Services: AI can be used to optimize kitchen operations, improve food safety, and reduce costs. Additionally, AI-powered chatbots and virtual assistants can be used to improve customer service and automate ordering and payment processes.
3. Legal Services: AI can be used to analyze legal data and identify patterns that humans might miss. This can lead to the development of more efficient and accurate legal research tools, as well as the ability to detect and prevent fraud.
4. Human Resources: AI can be used to automate repetitive tasks such as resume screening, scheduling interviews, and data entry. Additionally, AI-powered tools can be used to improve employee engagement, retention, and performance management.
5. Cybersecurity: AI can be used to improve security monitoring, detect and prevent cyber attacks, and reduce costs. Additionally, AI-powered tools can be used to analyze and predict cyber threats, helping organizations to better protect their networks and data.

 

[divs4ever]

yes BUT some businesses in some industries are already doing that before AI became 'an investment theme ' ( and still making a profit )

take the financial sector , particularly 'robo-advice ' , some are a simple step-by step logic programme to send the caller to 'the bond guy', or the 'ETF guy ' with needing a human interface , some are much more ( they harvest data , they improve the options etc etc. )

i also expect AI in cyber-security to be an epic-fail where it counts SECURITY , MAINLY because the selling point will be cost savings

i have seen some epic breaches ( and flaws it 'network security ' ) the biggest one was using an easy to use shell on the SYS ADMIN box ( so half the employees would access the SYS ADMIN box , to alter the logs ) shame it was HIGHLY restricted network

lucky the NEW sys admin , cracked the router logs to double check the SYS ADMIN logs to find a massive mismatch , and install a new shell .. and waited to see who complained

and computer-trading don't you think that 'smart-guys ' are already using AI to refine the trading algos

AI has the potential to be the next big investment scam

 

[JohnDe]

Artificial intelligence (AI) is rapidly becoming one of the most transformative technologies of our time, and it is poised to create many new investment opportunities in the near future.

AI has the potential to revolutionize a wide range of industries, from healthcare and finance to transportation and manufacturing. In finance, AI can be used to improve risk management, automate investment decisions, and identify new investment opportunities that would be difficult for humans to detect. For example, AI-powered algorithms can analyse large amounts of data and identify patterns that humans might miss, making it possible to identify undervalued stocks or predict market trends with greater accuracy.

One way to discover investment opportunities in AI is to look for companies that are investing heavily in the technology. Many companies are now using AI to improve their products and services, and these companies are likely to be well-positioned to take advantage of the growth opportunities that AI will create. Investors can also look for companies that are developing new AI-powered products or services, such as companies working on self-driving cars or personalized medicine.

Another way to discover investment opportunities in AI is to look for companies that are using AI to disrupt traditional industries. For example, companies that are using AI to automate repetitive tasks or to improve the efficiency of existing processes may be able to gain a competitive advantage and generate significant returns for investors.

Investors can also look for companies that are working on cutting-edge AI technologies such as natural language processing, machine learning, computer vision, and reinforcement learning. These technologies have the potential to drive the next wave of innovation in AI, and companies that are leading the way in these areas may be well-positioned to capitalize on the growth opportunities that will arise.

Investing in AI can be risky, but with careful research and due diligence, investors can discover investment opportunities that offer the potential for high returns. It is important to keep an eye on the developments in AI, to better understand the technology, the potential applications and the opportunities it will create.

Investors can also invest in exchange traded funds (ETFs) or in mutual funds that invest in companies that are working on AI. This way they can diversify their portfolio and reduce the risk of investing in a single company.

In conclusion, as AI continues to evolve and become more widely adopted, it will create many new investment opportunities for investors. By keeping an eye out for companies that are investing heavily in AI, disrupting traditional industries, and working on cutting-edge technologies, investors can discover these opportunities and potentially capitalize on the growth that AI will create in the near future.

I agree. I am currently covering a few bases by investing in ARK Investments, specifically ARK Disruptive Innovation.

 

[frugal.rock]

I'm of the suspicion that we have been responding to a chatbot... ?
Something didn't feel right from the start.

Even the OP's avatar looks like something stitched together with AI...

 

[Dona Ferentes]

Even the OP's avatar looks like something stitched together with AI...

1st generation, though. Didn't call herself a 'noob'.

 

[Garpal Gumnut]

Artificial intelligence (AI) is rapidly becoming one of the most transformative technologies of our time, and it is poised to create many new investment opportunities in the near future.

AI has the potential to revolutionize a wide range of industries, from healthcare and finance to transportation and manufacturing. In finance, AI can be used to improve risk management, automate investment decisions, and identify new investment opportunities that would be difficult for humans to detect. For example, AI-powered algorithms can analyse large amounts of data and identify patterns that humans might miss, making it possible to identify undervalued stocks or predict market trends with greater accuracy.

One way to discover investment opportunities in AI is to look for companies that are investing heavily in the technology. Many companies are now using AI to improve their products and services, and these companies are likely to be well-positioned to take advantage of the growth opportunities that AI will create. Investors can also look for companies that are developing new AI-powered products or services, such as companies working on self-driving cars or personalized medicine.

Another way to discover investment opportunities in AI is to look for companies that are using AI to disrupt traditional industries. For example, companies that are using AI to automate repetitive tasks or to improve the efficiency of existing processes may be able to gain a competitive advantage and generate significant returns for investors.

Investors can also look for companies that are working on cutting-edge AI technologies such as natural language processing, machine learning, computer vision, and reinforcement learning. These technologies have the potential to drive the next wave of innovation in AI, and companies that are leading the way in these areas may be well-positioned to capitalize on the growth opportunities that will arise.

Investing in AI can be risky, but with careful research and due diligence, investors can discover investment opportunities that offer the potential for high returns. It is important to keep an eye on the developments in AI, to better understand the technology, the potential applications and the opportunities it will create.

Investors can also invest in exchange traded funds (ETFs) or in mutual funds that invest in companies that are working on AI. This way they can diversify their portfolio and reduce the risk of investing in a single company.

In conclusion, as AI continues to evolve and become more widely adopted, it will create many new investment opportunities for investors. By keeping an eye out for companies that are investing heavily in AI, disrupting traditional industries, and working on cutting-edge technologies, investors can discover these opportunities and potentially capitalize on the growth that AI will create in the near future.

I'm a noob at AI. Where do you as a student see the future of AI? AI has the potential to revolutionize many industries and improve people's lives in countless ways.

Some areas where AI is already having a significant impact include computer vision, natural language processing, and autonomous systems.

In the future, AI is likely to become even more integrated into our daily lives and could play a key role in areas such as healthcare, transportation, and finance. However, as with any new technology, there are also concerns about the potential negative effects of AI, such as job displacement and the potential for misuse.

It is important for society to address these concerns and ensure that AI is developed and used responsibly.

gg

 

[orr]

Is 'StudentTraders' content generated by ChatGBT?

 

[Joe90]

Gazumped, I get to here thinking to post and @orr pre-empted me with his ChatGBT suggestion...

 

[Sean K]

Maybe we're all bots.

Joe has some good AI that will sort this out.

 

[lindsayf]

Gazumped, I get to here thinking to post and @orr pre-empted me with his ChatGBT suggestion...

Yes I agree - all that text, the way it is structured and written does look like it is GPT generated. We are going to be talking to more bots without realising it. But luckliy there is new AI being developed in parallel - to identify if something is generated by AI...then there are new apps that can take AI generated text and modify it so that it cant be detected as AI. So it is all good.

 

[againsthegrain]

Maybe we're all bots.

Joe has some good AI that will sort this out.

Only as smart as those who created them, can you achieve perfection if you were created in the image of a imperfect creator?

 

[So_Cynical]

AI could disrupt many industries, here is a few:

1. Automotive: AI-powered self-driving cars could disrupt the traditional automobile industry by reducing the need for human drivers and leading to a decline in car ownership. This could also lead to new business models such as ride-sharing and car-sharing services.
2. Banking and Finance: AI can be used to improve risk management, automate investment decisions, and identify new investment opportunities. This could lead to a reduction in the number of human financial analysts and traders, and an increase in the use of robo-advisers for investment management.
3. Healthcare: AI can be used to analyze medical data and identify patterns that humans might miss. This can lead to the development of personalized medicine, and the ability to detect diseases earlier and more accurately. Additionally, AI can be used to automate repetitive tasks such as data entry, freeing up medical professionals to focus on more important tasks.
4. Retail: AI-powered personal shopping assistants and chatbots can help retailers to improve customer service and increase sales. Additionally, AI-powered predictive analytics can help retailers to better understand customer behavior and preferences, allowing them to tailor their product offerings and marketing strategies more effectively.
5. Manufacturing: AI can be used to optimize production processes, improve quality control, and reduce costs. This can lead to more efficient and cost-effective manufacturing, and the ability to produce goods at a faster pace and lower cost.
6. Transportation: AI-powered self-driving cars and drones can disrupt the traditional transportation industry by reducing the need for human drivers and leading to new business models such as ride-sharing and delivery services. Additionally, AI can be used to optimize routing and scheduling for transportation companies, leading to more efficient and cost-effective transportation.
7. Energy: AI can be used to optimize the use of renewable energy sources, improve energy efficiency, and reduce costs. This can lead to more sustainable and cost-effective energy production and consumption.
8. Agriculture: AI can be used to optimize crop yields, improve the efficiency of farming operations, and reduce costs. This can lead to more sustainable and cost-effective agriculture.
9. Insurance: AI can be used to analyze data and identify patterns that humans might miss. This can lead to the development of more accurate and personalized insurance products and the ability to detect fraud more effectively.
10. Telecommunications: AI can be used to optimize network operations, improve customer service, and reduce costs. This can lead to more reliable and cost-effective telecommunications services.
11. Logistics: AI can be used to optimize routing and scheduling for logistics companies, leading to more efficient and cost-effective transportation. Additionally, AI-powered autonomous vehicles and drones can disrupt the traditional logistics industry by reducing the need for human drivers and leading to new business models such as drone delivery services.
12. Real Estate: AI can be used to analyze data and predict real estate trends, allowing agents and investors to make more informed decisions. Additionally, AI-powered virtual assistants can help real estate agents to automate repetitive tasks, such as scheduling appointments and responding to inquiries.
13. Media and Entertainment: AI can be used to analyze data and identify patterns that humans might miss. This can lead to the development of more personalized and targeted content, as well as the ability to detect and remove fake news.
14. Education: AI can be used to personalize learning and improve student engagement, as well as automate repetitive tasks such as grading and administrative work.
15. Government and Public Services: AI can be used to improve the efficiency of government operations, such as fraud detection, tax collection, and service delivery. Additionally, AI-powered chatbots can be used to improve customer service and help citizens access information

and a few more......

1. Construction: AI can be used to optimize building design, improve safety and reduce costs. Additionally, AI-powered drones and robots can be used to improve site surveying, monitoring and inspection tasks.
2. Food Services: AI can be used to optimize kitchen operations, improve food safety, and reduce costs. Additionally, AI-powered chatbots and virtual assistants can be used to improve customer service and automate ordering and payment processes.
3. Legal Services: AI can be used to analyze legal data and identify patterns that humans might miss. This can lead to the development of more efficient and accurate legal research tools, as well as the ability to detect and prevent fraud.
4. Human Resources: AI can be used to automate repetitive tasks such as resume screening, scheduling interviews, and data entry. Additionally, AI-powered tools can be used to improve employee engagement, retention, and performance management.
5. Cybersecurity: AI can be used to improve security monitoring, detect and prevent cyber attacks, and reduce costs. Additionally, AI-powered tools can be used to analyze and predict cyber threats, helping organizations to better protect their networks and data.

Ok so now do some in depth research and come up with the best 3 ASX listed examples we can profit from, there will be AI winners and losers.

 

[farmerge]

Ok so now do some in depth research and come up with the best 3 ASX listed examples we can profit from, there will be AI winners and losers.

Back in the day when I worked in Perth, ride sharing was a practice that many of us did, nothing new about this.

 

[Dona Ferentes]

from someone who knows more about it than I do.

"AI certainly writes correct English and can collate some quite obscure topics. One of the more useful aspects of it is that it can write code and reformat data and tables quite well. Other than that, I’m still not convinced about its use for writing copy or many use cases. There is a litany of examples where it brings together information that is just plain wrong. There are a lot of people who are trying to propose a way of opting their writing out of any future AI training. There’s questions of how to amass sufficient clean (ie not AI generated!) data in future."
...
he's coming at it from a research/ IP point of view, where reputation and authenticity are paramount.

 

[So_Cynical]

I'm sure AI will be used in ways we currently struggle to identify.

 

[Gringotts Bank]

AI will largely replace doctors, but it will be a way off. How it will work:

- log in to your GP or specialist from home.
- set up super hi-res webcam, mic, various peripherals such as blood pressure cuff, pulse oximeter, finger prick blood tester, urine tester, blood tester etc.
- All these peripherals will send data in real time to the GP's AI.
- Speak naturally as if talking to a real doctor. You can use slang, jingoisms, Spoonerisms - all will be understood perfectly.
- AI (ChatGPT or similar) will take a full history, with prompts and follow up Q's.
- AI will recommend you attach one or more peripherals to take readings. Might include things like a full skin check via the webcam.
- AI will list the diagnoses with probabilities attached and state preferred Rxs with risk/reward ratios of each.
- For simple conditions, a script will be created on the spot, sent to the pharmacy and a drone will deliver within minutes.
- For conditions requiring invasive Rx (stitches, injections), you follow up in-clinic with a real doctor.
- the whole thing will be many, many times more accurate and speedy than a doctor.

Robots will watch and record humans doing surgery and learn how to do them without human input. Radiology is already close to being fully AI already. It is far more accurate at detecting uncertain markings.

 

[farmerge]

AI will largely replace doctors, but it will be a way off. How it will work:

- log in to your GP or specialist from home.
- set up super hi-res webcam, mic, various peripherals such as blood pressure cuff, pulse oximeter, finger prick blood tester, urine tester, blood tester etc.
- All these peripherals will send data in real time to the GP's AI.
- Speak naturally as if talking to a real doctor. You can use slang, jingoisms, Spoonerisms - all will be understood perfectly.
- AI (ChatGPT or similar) will take a full history, with prompts and follow up Q's.
- AI will recommend you attach one or more peripherals to take readings. Might include things like a full skin check via the webcam.
- AI will list the diagnoses with probabilities attached and state preferred Rxs with risk/reward ratios of each.
- For simple conditions, a script will be created on the spot, sent to the pharmacy and a drone will deliver within minutes.
- For conditions requiring invasive Rx (stitches, injections), you follow up in-clinic with a real doctor.
- the whole thing will be many, many times more accurate and speedy than a doctor.

Robots will watch and record humans doing surgery and learn how to do them without human input. Radiology is already close to being fully AI already. It is far more accurate at detecting uncertain markings.

I believe that you will be proven correct but long after I have become a maggot farm

 

[Dona Ferentes]

Ok so now do some in depth research and come up with the best 3 ASX listed examples we can profit from, there will be AI winners and losers.

Well, one way to not profit would be to think an Australian ETF...

Fund Objective​

RBTZ aims to track the performance of .. global companies involved in the production or use of robotics and A.I. products and services.

Fund Strategy​

RBTZ invests in companies involved in Industrial Robotics and Automation, Non-Industrial Robots, Artificial Intelligence and Unmanned Vehicles and Drones.

Down 38% for 2022