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Top 10 Programming Languages for AI and Natural Language Processing

In this article, we’ll discuss the top 10 programming languages for AI and Natural Language Processing. You can skip our detailed analysis of global market trends for NLP and AI development and trending programming languages for AI development and go directly to the Top 5 Programming Languages for AI and Natural Language Processing

We have seen a recent boom in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP). Revolutionary tools such as ChatGPT and DALL-E 2 have set new standards for NLP capabilities. These tools are harnessing the power of language processing to store information and provide detailed responses to inputs. 

In fact, according to research by Fortune Business Insights, the global market size for Natural Language Processing (NLP) is expected to witness significant growth. The market is projected to expand from $24.10 billion in 2023 to $112.28 billion by 2030, exhibiting a robust compound annual growth rate (CAGR) of 24.6%. This indicates a promising outlook for the NLP market, driven by the increasing demand for advanced language processing solutions across various industries.

With the presence of major industry players, North America is anticipated to dominate the market share of natural language processing. In 2021, the market in North America already accounted for a significant value of USD 7.82 billion, and it is poised to capture a substantial portion of the global market share in the forthcoming years. The region’s strong position further reinforces its leadership in driving advancements and adoption of natural language processing technologies.

As the demand for AI and NLP continues to soar, the question arises: which programming languages are best suited for AI development? When it comes to AI programming languages, Python emerges as the go-to choice for both beginners and seasoned developers. Python’s simplicity, readability, and extensive libraries make it the perfect tool for building AI applications. In addition, Python allows easy scaling of large machine learning models.  Python, along with Lisp, Java, C++, and R, remains among the most popular programming languages in the AI development landscape.

The dominance of Python is further reinforced by the job market, where employers increasingly seek Python language skills. According to TIOBE Programming Community index, Python, SQL, and Java top the list of in-demand programming skills, with Python securing the first spot. With its versatility and ease of use, Python finds applications in various domains, including app and website development, as well as business process automation.

While the utilization of NLP and AI has become imperative for businesses across industries, some companies such as Microsoft Corporation (NASDAQ:MSFT), Amazon.com, Inc. (NASDAQ:AMZN), and Alphabet Inc. (NASDAQ:GOOG) have played a crucial role in driving recent advancements in these technologies. 

Notably, Microsoft Corporation (NASDAQ:MSFT)’s significant investment of $10 billion in OpenAI, the startup behind ChatGPT and DALL-E 2, has made waves in the AI and NLP landscape. These tools have not only transformed the technological landscape but have also brought AI and NLP innovations to the general public in exciting new ways.

Also, Microsoft Corporation (NASDAQ:MSFT)’s Azure, as the exclusive cloud provider for ChatGPT, offers a wide range of services related to NLP. These include sentiment analysis, text classification, text summarization, and entailment services. 

The significance of AI and NLP is palpable at Amazon.com, Inc. (NASDAQ:AMZN) as well. The widely recognized Alexa device, capable of playing your favorite song or providing product recommendations, exemplifies AI and NLP in action. Additionally, Amazon.com, Inc. (NASDAQ:AMZN)’s Amazon Web Services (AWS) provides cloud storage solutions, enabling businesses to complete their digital transformations.

The impact of AI and the recent surge in generative AI extends beyond Google’s homegrown products, as parent company Alphabet Inc. (NASDAQ:GOOG) is actively investing in startups. Alphabet Inc. (NASDAQ:GOOG)’s venture capital arm, CapitalG, recently led a $100 million investment in corporate data firm AlphaSense, valuing the company at $1.8 billion.

So, if you are curious to discover the top programming languages for AI and NLPs, keep reading and delve into the realm of these exciting technologies.

Zapp2Photo/Shutterstock.com

Our Methodology: 

To rank the top 10 programming languages for deep learning and NLPs, we conducted extensive research to identify commonly used languages in these fields, considering factors such as community support, performance, libraries, ease of use, scalability, and industry adoption. We collected relevant data and evaluated each language on these criteria, assigning scores on a scale of 1 to 5. Higher scores were given to languages demonstrating more robust performance and broader usage in AI and NLP development. We sorted the list in ascending order of the best programming languages for machine learning applications

Here is the list of the top 10 programming languages for AI and Natural Language Processing. 

10. Rust

Performance Level: 3.5 

Rust, known for its high performance, speed, and a strong focus on security, has emerged as a preferred language for AI and NLP development. Offering memory safety and avoiding the need for garbage collection, Rust has garnered popularity among developers seeking to create efficient and secure software. With a syntax comparable to C++, Rust provides a powerful and expressive programming environment. Notably, renowned systems including Dropbox, Yelp, Firefox, Azure, Polkadot, Cloudflare, npm, and Discord rely on Rust as their backend programming language. Due to its memory safety, speed, and ease of expression, Rust is considered an ideal choice for developing AI and leveraging it in scientific computing applications.

9. Prolog

Performance Level: 3.7

Prolog is a logic programming language. It is mainly used to develop logic-based artificial intelligence applications. Prolog’s declarative nature and emphasis on logic make it particularly well-suited for tasks that involve knowledge representation, reasoning, and rule-based systems. Its ability to efficiently handle symbolic computations and pattern matching sets it apart in the AI and NLP domains. Prolog’s built-in backtracking mechanism allows for elegant problem-solving approaches. With Prolog, developers can focus on specifying the problem’s logic rather than the algorithmic details. These characteristics make Prolog an appealing choice for AI applications that involve complex inference, knowledge-based systems, and natural language processing tasks.

8. Wolfram

Performance Level: 3.8

Wolfram programming language is known for its fast and powerful processing capabilities. In the realm of AI and NLP, Wolfram offers extensive capabilities including 6,000 built-in functions for symbolic computation, functional programming, and rule-based programming. It also excels at handling complex mathematical operations and lengthy natural language processing tasks. Moreover, Wolfram seamlessly integrates with arbitrary data and structures, further enhancing its utility in AI and NLP applications. Developers rely on Wolfram for its robust computational abilities and its aptitude for executing sophisticated mathematical operations and language processing functions.

7. Haskell

Performance Level: 4

Haskell prioritizes safety and speed which makes it well-suited for machine learning applications. While Haskell has gained traction in academia for its support of embedded, domain-specific languages crucial to AI research, tech giants like Microsoft Corporation (NASDAQ:MSFT) and Meta Platforms, Inc. (NASDAQ:META) have also utilized Haskell for creating frameworks to manage structured data and combat malware.

Haskell’s HLearn library offers deep learning support through its Tensorflow binding and algorithmic implementations for machine learning. Haskell shines in projects involving abstract mathematics and probabilistic programming, empowering users to design highly expressive algorithms without compromising efficiency. Haskell’s versatility and fault-tolerant capabilities make it a secure programming language for AI applications, ensuring robustness in the face of failures.

6. Lisp

Performance Level: 4.3

Lisp, one of the pioneering programming languages for AI, has a long-standing history and remains relevant today. Developed in 1958, Lisp derived its name from ‘List Processing,’ reflecting its initial application. By 1962, Lisp had evolved to address artificial intelligence challenges, solidifying its position in the field. While Lisp is still capable of producing high-quality software, its complex syntax and costly libraries have made it less favored among developers. However, Lisp remains valuable for specific AI projects, including rapid prototyping, dynamic object creation, and the ability to execute data structures as programs.

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Disclosure: None. Top 10 Programming Languages for AI and Natural Language Processing is originally published on Insider Monkey.

The $250 Trillion AI Hype is Real. A few years from now, you’ll probably wish you’d bought this stock.

When Jeff Bezos said that one breakthrough technology would shape Amazon’s destiny, even Wall Street’s biggest analysts were caught off guard.

Fast forward a year and Amazon’s new CEO Andy Jassy described generative AI as a “once-in-a-lifetime” technology that is already being used across Amazon to reinvent customer experiences.

At the 8th Future Investment Initiative conference, Elon Musk predicted that by 2040 there would be at least 10 billion humanoid robots, with each priced between $20,000 and $25,000.

Do the math. According to Musk, this technology could be worth $250 trillion by 2040.

Put another way, that’s roughly equal to:

  • 175 Teslas
  • 107 Amazons
  • 140 Metas
  • 84 Googles
  • 65 Microsofts
  • And 55 Nvidias

And here’s the wild part — this $250 trillion wave isn’t tied to one company, but to an entire ecosystem of AI innovators set to reshape the global economy.

It’s a leap so massive, it could reshape how businesses, governments, and consumers operate worldwide.

Even if that $250 trillion figure sounds ambitious, major firms like PwC and McKinsey still see AI unlocking multi-trillion-dollar potential.

How could anything be worth that much?

The answer lies in a breakthrough so powerful it’s redefining how humanity works, learns, and creates.

And this breakthrough has already set off a frenzy among hedge funds and Wall Street’s top investors.

What most investors don’t realize is that one under-owned company holds the key to this $250 trillion revolution.

In fact, Verge argues this company’s supercheap AI technology should concern rivals.

Before I reveal the details, let’s talk about how some of the richest people on the planet are positioning themselves.

  • Bill Gates sees artificial intelligence as the “biggest technological advance in my lifetime,” more transformative than the internet or personal computer, capable of improving healthcare, education, and addressing climate change.
  • Larry Ellison — through Oracle, is spending billions on Nvidia chips and partnering with Cohere to embed generative AI across Oracle’s cloud and apps.
  • Warren Buffett — not known for tech hype — says this breakthrough could have a ‘hugely beneficial social impact.

When billionaires from Silicon Valley to Wall Street line up behind the same idea — you know it’s worth paying attention to.

Even as we admire what Tesla, Nvidia, Alphabet, and Microsoft have built, we believe an even greater opportunity lies elsewhere…

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AI, Tariffs, Nuclear Power: One Undervalued Stock Connects ALL the Dots (Before It Explodes!)

Artificial intelligence is the greatest investment opportunity of our lifetime. The time to invest in groundbreaking AI is now, and this stock is a steal!

AI is eating the world—and the machines behind it are ravenous.

Each ChatGPT query, each model update, each robotic breakthrough consumes massive amounts of energy. In fact, AI is already pushing global power grids to the brink.

Wall Street is pouring hundreds of billions into artificial intelligence—training smarter chatbots, automating industries, and building the digital future. But there’s one urgent question few are asking:

Where will all of that energy come from?

AI is the most electricity-hungry technology ever invented. Each data center powering large language models like ChatGPT consumes as much energy as a small city. And it’s about to get worse.

Even Sam Altman, the founder of OpenAI, issued a stark warning:

“The future of AI depends on an energy breakthrough.”

Elon Musk was even more blunt:

“AI will run out of electricity by next year.”

As the world chases faster, smarter machines, a hidden crisis is emerging behind the scenes. Power grids are strained. Electricity prices are rising. Utilities are scrambling to expand capacity.

And that’s where the real opportunity lies…

One little-known company—almost entirely overlooked by most AI investors—could be the ultimate backdoor play. It’s not a chipmaker. It’s not a cloud platform. But it might be the most important AI stock in the US owns critical energy infrastructure assets positioned to feed the coming AI energy spike.

As demand from AI data centers explodes, this company is gearing up to profit from the most valuable commodity in the digital age: electricity.

The “Toll Booth” Operator of the AI Energy Boom

  • It owns critical nuclear energy infrastructure assets, positioning it at the heart of America’s next-generation power strategy.
  • It’s one of the only global companies capable of executing large-scale, complex EPC (engineering, procurement, and construction) projects across oil, gas, renewable fuels, and industrial infrastructure.
  • It plays a pivotal role in U.S. LNG exportation—a sector about to explode under President Trump’s renewed “America First” energy doctrine.

Trump has made it clear: Europe and U.S. allies must buy American LNG.

And our company sits in the toll booth—collecting fees on every drop exported.

But that’s not all…

As Trump’s proposed tariffs push American manufacturers to bring their operations back home, this company will be first in line to rebuild, retrofit, and reengineer those facilities.

AI. Energy. Tariffs. Onshoring. This One Company Ties It All Together.

While the world is distracted by flashy AI tickers, a few smart investors are quietly scooping up shares of the one company powering it all from behind the scenes.

AI needs energy. Energy needs infrastructure.

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This company has its finger in every pie—and Wall Street is just starting to notice.

Wall Street is noticing this company also because it is quietly riding all of these tailwinds—without the sky-high valuation.

While most energy and utility firms are buried under mountains of debt and coughing up hefty interest payments just to appease bondholders…

This company is completely debt-free.

In fact, it’s sitting on a war chest of cash—equal to nearly one-third of its entire market cap.

It also owns a huge equity stake in another red-hot AI play, giving investors indirect exposure to multiple AI growth engines without paying a premium.

And here’s what the smart money has started whispering…

The Hedge Fund Secret That’s Starting to Leak Out

This stock is so off-the-radar, so absurdly undervalued, that some of the most secretive hedge fund managers in the world have begun pitching it at closed-door investment summits.

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Why? Because excluding cash and investments, this company is trading at less than 7 times earnings.

And that’s for a business tied to:

  • The AI infrastructure supercycle
  • The onshoring boom driven by Trump-era tariffs
  • A surge in U.S. LNG exports
  • And a unique footprint in nuclear energy—the future of clean, reliable power

You simply won’t find another AI and energy stock this cheap… with this much upside.

This isn’t a hype stock. It’s not riding on hope.

It’s delivering real cash flows, owns critical infrastructure, and holds stakes in other major growth stories.

This is your chance to get in before the rockets take off!

Disruption is the New Name of the Game: Let’s face it, complacency breeds stagnation.

AI is the ultimate disruptor, and it’s shaking the foundations of traditional industries.

The companies that embrace AI will thrive, while the dinosaurs clinging to outdated methods will be left in the dust.

As an investor, you want to be on the side of the winners, and AI is the winning ticket.

The Talent Pool is Overflowing: The world’s brightest minds are flocking to AI.

From computer scientists to mathematicians, the next generation of innovators is pouring its energy into this field.

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By investing in AI, you’re essentially backing the future.

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Here’s what to do next:

1. Head over to our website and subscribe to our Premium Readership Newsletter for just $9.99.

2. Enjoy a month of ad-free browsing, exclusive access to our in-depth report on the Trump tariff and nuclear energy company as well as the revolutionary AI-robotics company, and the upcoming issues of our Premium Readership Newsletter.

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