Originally posted on Motley Fool
This tech giant is already an AI powerhouse, quietly expanding its expertise while the stock trades at investor-friendly prices.
In the ever-changing world of artificial intelligence (AI), International Business Machines is a solid front-runner. Big Blue combines a legacy of innovation with a forward-thinking approach to AI development and implementation — and market makers haven’t caught on to this massive AI investment opportunity yet.
With a focus on responsible AI, a thriving consulting business, and strong partnerships, IBM is poised to capitalize on growing demand for AI solutions while delivering solid returns to investors. It sure doesn’t hurt that the stock is starting from a very modest valuation right now.
Market performance and valuation
IBM has consistently outperformed the S&P 500 (SNPINDEX: ^GSPC) over the past year, but still lags behind the leading market index from a five-year perspective.
With a price-to-free cash flow ratio of just 13.0 and a price-to-sales ratio below 2.8, IBM presents a compelling valuation compared to other AI stocks, especially considering its strong dividend yield of 3.6%. Big Blue gives you the best of both worlds, pairing strong growth opportunities in the AI space with a really modest valuation.
READ NEXT: There is no slowing Nvidia down with $1 trillion AI pivot
Innovation and accessibility through Watsonx
Let’s check out what IBM has been up lately to in terms of AI innovation.
This week, the company released the Mistral Large AI model on its Watsonx.ai platform. It is a large language model (LLM), in many ways comparable to OpenAI’s GPT-4 engine and Alphabet‘s Gemini system. It is especially good at abstract reasoning based on complex input data, beating OpenAI’s best LLM on benchmarks in this category.
Mistral Large is now a part of the IBM Granite AI development platform, alongside a plethora of IBM’s highly specialized AI tools plus LLMs from Alphabet, Microsoft, and Meta Platforms. You won’t find OpenAI’s software here (yet), but IBM’s broad portfolio of LLMs and machine learning systems should cover whatever AI needs your company might have. That’s only more true after adding the highly capable Mistral service.
The Mistral inclusion further solidifies IBM’s commitment to making advanced AI easily accessible to enterprises. This expansion helps IBM’s client businesses to make the most of AI tools to drive their own innovation and growth.
READ NEXT: Nvidia has passed Apple … Microsoft next
Consulting expertise and responsible AI
IBM isn’t just an AI innovator; it’s a trusted AI advisor. The company’s decades of expertise in consulting services comes in quite handy when technological progress throws a curveball at the entire business world, like the ongoing adoption of generative and general AI right now.
With their decades of deep AI expertise, IBM’s consulting services act as a guiding hand for other businesses dealing with the complexities of the AI landscape. Whether it’s crafting a tailored AI strategy aligned with specific business goals or providing hands-on support during AI implementation and beyond, IBM is there.
This comprehensive approach is a unique win-win situation. It not only generates revenue for IBM, but also nurtures lasting partnerships with clients who value their expertise and commitment to success. And you won’t see the likes of Alphabet or Microsoft giving IBM much of a challenge in the realm of consulting services. It’s not what they do, and their business processes are not set up to share their IT and business insights that way.
But IBM’s dedication to AI doesn’t stop at helping businesses adopt it. They’re equally passionate about ensuring that AI is used responsibly, especially when it comes to training systems for generative AI functions. Their AI Ethics Board plays a vital role in this endeavor, acting as a vigilant guardian over the development and deployment of AI technologies.
This focus on transparency, fairness, and ethical practices is crucial in a world increasingly concerned about the potential misuse of AI. Thoughtless implementations can lead to lower AI data quality, heartless computerized replacement of creative human jobs, and more.
By prioritizing responsible AI, IBM establishes itself as a trustworthy and reliable partner for businesses navigating the ethical complexities of this transformative technology.
Tackling potential challenges in a competitive landscape
While IBM demonstrates significant strengths in the AI market, it’s important to consider potential challenges that could impact its future growth:
- Legacy business: While providing financial stability, the last vestiges of IBM’s legacy businesses could hinder its agility in adapting to the rapidly evolving AI landscape.
- Competition: The AI market is highly competitive, with numerous well-funded players vying for market share. IBM needs to continuously innovate to maintain its edge.
IBM’s unique combination of established expertise, cutting-edge AI solutions like watsonx.ai, a thriving consulting business, and a strong commitment to responsible AI sets it apart in the AI landscape. A deceptively attractive valuation and consistent dividend payments further cement it as a top AI stock to buy in July.
READ NEXT: Big Tech is spending billions each month on Nvidia’s AI superproject
Microsoft is now spending $14 billion each quarter to keep pace …
Amazon Web Services has pushed its spending to nearly $30 billion annually …
Alphabet, the parent company of Google, is spending even more … nearly $50 billion …
And Meta expects to spend $35 to $40 billion this year.
And much of it has to do with AI.
You see, with the amount of data compounding each year …
Massive new facilities are now needed to continue AI’s exponential growth.
And Nvidia is profiting greatly …
Already adding nearly $50 billion to its bottom line …
That’s just in anticipation of this Superproject, which is projected to be worth at least $1 trillion.
And what’s happening behind the scenes is very exciting for investors.
Because Nvidia isn’t building these revolutionary facilities alone.
It’s quietly leaning on a set of what we call Silent Partners to get the job done.
And these companies could benefit greatly in this next wave of the AI boom.
We think they’re buys — right here, right now.
Find out more about these three critical Nvidia partners immediately