What if artificial intelligence caught your eye as a place to put money? Tools like ChatGPT show how fast generative AI is spreading online. New companies focused on AI keep popping up, while older businesses build serious new skills in the field.
Lately, artificial intelligence has surged forward – investors now expect big returns, which can make AI stock values swing sharply. Since ChatGPT arrived at the end of 2022, fast-moving cash has flooded into AI, pushing prices up; much of what could happen down the road might already show in today’s numbers.
Starting with what matters most – how much risk feels okay – opens a clear path forward. Might be worth wondering how your investments can touch artificial intelligence without betting on single firms. Plenty of routes exist that skip the guesswork about which company jumps ahead fastest.
Key Points
- Focused only on artificial intelligence, these firms build custom tools for specific fields. Their unique software runs alongside powerful platforms. Clear examples of dedicated AI work come from here. Industry needs shape every product they make
- Big names like Microsoft have long been diving into artificial intelligence. Alphabet, which runs Google, is also deep in the game. These older firms aren’t just starting out – they’ve already built strong roots in the field.
- Spreading bets across likely leaders in artificial intelligence? That’s what these ETFs aim to do. One fund holds pieces of many companies chasing breakthroughs. Instead of picking single names, investors gain exposure through a bundle. Winners might emerge from the group over time. Risk gets shared, simply put.
1. Buy stock in legacy companies with AI exposure
Buying stock in big tech firms involved with AI offers one path to gain access. These businesses often run separate divisions, so your connection to artificial intelligence might feel spread thin. Still, those cautious about risk could find comfort here. The mix of operations helps balance outcomes across different areas.
A once-slow mover now holds firm ground in its industry, while tapping multiple income paths. That setup offers steady returns to those who invest. Even so, it still finds room to grow alongside artificial intelligence trends.
Funny how it turns out, but most old-school groups pushing AI forward come straight from the tech world. One kind sells ready-made tools for everyday users instead of hiding them behind jargon. A different bunch sticks together through key alliances, sharing resources without making a show of it. Then there’s the crew setting up computers and code frameworks so the whole system can grow quietly in the background.
Google stands out in machine learning research. Meanwhile, OpenAI pushes boundaries with large language models. Then there is Microsoft, weaving smart tools into everyday software:
- It started with search. Now run by Alphabet (ticker: GOOG), Google shapes how machines learn much like it once shaped web results. A chatbot named Gemini – earlier called Bard – shows one face of its work in generating responses from thin air. Backed by years of effort, including buying DeepMind back in 2014, it pushes into real-world uses of smart systems. Open any tool they make, see suggestions before you type, find tasks handled faster – that’s artificial intelligence at play inside their software universe. Not magic. Just layers of code learning what users might do next.
- One big name tied closely to artificial intelligence is Microsoft. Its ties come mainly through a strong link with OpenAI – the team behind ChatGPT. That powerful tech now runs inside several Microsoft tools. You’ll find it shaping how Bing works these days. It also powers parts of Azure, the company’s cloud system. Even Microsoft 365 uses pieces of OpenAI’s work. Think of documents, emails, spreadsheets – all touched by smart code. Much like Google, Microsoft leans on AI to help people get daily tasks done.
- From the start, NVIDIA has built machines that handle heavy computational tasks. This firm, known as NVDA, delivers both physical systems and digital frameworks aimed at advancing artificial intelligence. Instead of just one function, its chips specialize in rendering images while handling tough math problems quickly. These processors manage vast amounts of information, enabling computers to learn patterns deeply and efficiently. Beyond silicon, it supplies coding environments where multiple calculations run simultaneously, speeding up intelligent operations. One standout creation, called DRIVE Thor, powers self-driving vehicles through high-speed decision-making capabilities.
2. Invest in artificial intelligence firms
Picking individual stocks of companies centered on artificial intelligence could be a straightforward method to gain targeted exposure. Though it demands digging into which firms align with your interests, the payoff might surprise you when one takes off. Success here hinges not on luck, but on careful study and timing.
Yet that condition isn’t guaranteed – so staying alert matters if you’re putting money into standalone AI firms. Shifts in the sector, new rules from regulators, along with breakthroughs in tech – all of these touch your role as someone who invests. When your knowledge runs deep and stays fresh, better choices tend to follow naturally.
One way to begin digging into the field is by looking at two public companies focused on artificial intelligence delivered through software. These firms blend custom AI systems with specialized tools made for particular industries. Examples include finance, medical services, energy operations, and accounting tasks. Each company builds its own tech stack tailored to real-world workflows in those areas
- C3.ai trades under the symbol “AI.” What it does feels obvious from that alone. Its system backs building apps at scale – also ready-made tools too – for big companies using artificial intelligence. This one focuses entirely on enterprise needs when rolling out AI solutions.
- One way UiPath helps businesses? It blends artificial intelligence into automated workflows. Not just tools on a screen – this company builds systems where thinking machines handle tasks. Its software acts like a digital coworker, learning as it goes. Instead of separate pieces, everything connects through one central hub. Smarts meet speed there. Machines read documents, make choices, even adapt – all without constant oversight. That kind of setup fits everywhere, from finance to healthcare. Companies grow more precise when routines run smoothly behind the scenes.
Sure, there are more out there. Given how much money flows in – and the constant headlines – it makes sense that new names keep showing up by 2024. Value right now isn’t about earnings; it’s about what might happen later. Profit? Still missing for many, like C3 and UiPath.
Balancing somewhere after big-name AI firms yet before niche players sits Palantir (PLTR), a software name you might know. Once focused on stopping terror threats and guarding digital systems, it built deep skills spotting trends in massive data piles. Because of that history, doors opened toward artificial intelligence work. Its past moves now feed fresh efforts in this space, quietly shifting direction without loud announcements.
3. Invest in companies using AI to innovate
Maybe you like AI, yet don’t feel drawn to piling up tech stocks? Try looking at firms in different fields – ones quietly reshaping their work through smart machines. Not flashy launches, just steady shifts happening behind the scenes.
Looking around, several ways exist to invest using this approach. A handful include:
- Giant drugmaker Pfizer isn’t waiting around. Inside their labs, artificial intelligence helps spot promising compounds quicker than old methods ever could. Speed matters – especially when cloud-powered computers chew through data nonstop. That combo shaved time off developing PAXLOVID, their pill for COVID-19. Machines learned patterns humans might miss, guiding decisions step by step. Results arrived sooner because systems talked to each other without pause. One breakthrough didn’t rely on luck – it built momentum through constant calculation.
- Big machines. Not just tractors anymore – John Deere (DE) weaves smart tech into farm gear. By 2022, it rolled out a self-driving tractor capable of adjusting on its own during planting, harvest, and soil care.
- From sneakers to software tricks, Nike’s latest moves mix tech with tradition. Not new to upgrading its digital game, the sportswear name took a step forward in 2023. Teaming up with Cognizant, it began weaving artificial intelligence deeper into how things run behind the scenes. Instead of quick fixes, the path chosen leans on smart systems that learn and adapt over time.
AI is everywhere!
One thing’s clear: generative AI feels fresh, yet smart machines have long been reshaping how work gets done. From hospitals using algorithms to factories fine-tuning output, change is underway. Tech leads the shift, though banks now rely on patterns found by machines. Learning platforms adapt in real time, while delivery routes reshape themselves overnight. Even power grids run smarter thanks to constant machine oversight. Quietly, deeply, it’s everywhere.
4. Grab pieces of stock in open-market artificial intelligence funds
Picking shares from single businesses might not suit everyone. Instead, think about putting money into a fund. Most people look at exchange-traded funds or go for mutual funds. Right now, there is no mutual fund that only holds AI-related stocks – at least not by 2024.
A mix of shares tied to artificial intelligence moves through one kind of traded fund. By the start of 2024, several of these funds stood out simply because they grew larger than others. Their growth came from pulling together many company pieces under one roof. Size began pointing toward staying power for certain ones more than the rest
- Global X Robotics and Artificial Intelligence ETF BOTZ
- Global X AI and Tech ETF
- ROBO Global Robotics and Automation ETF
- iShares Robotics and Artificial Intelligence Multisector ETF IRBO
Picking an ETF might offer a quick path into AI, yet often spreads things too thin. Some funds claim to target artificial intelligence, though many hold firms where it plays just a small role – look under the hood first, zero in on what makes up the bulk of the portfolio. Since what’s inside these funds changes slowly, staying hands-off could drift you away from your goals; revisiting now and then keeps alignment steady. Surprises wait where attention fades.
The bottom line
One way to handle investments isn’t the only way. Mixing different methods might ease potential losses. Since AI is still growing, swings in value could happen often – handling it carefully makes sense. Looking into details yourself helps avoid hasty moves when putting money at stake.
This piece aims to inform, never to push any money plan, business, or fund. Investment tips? Not given by Encyclopædia Britannica, Inc.
