Sprout Social, Inc. (SPT): Short Seller Sentiment is Bearish on This AI Stock Under $50 - InvestingChannel

Sprout Social, Inc. (SPT): Short Seller Sentiment is Bearish on This AI Stock Under $50

We recently compiled a list of the 10 Worst Artificial Intelligence Stocks Under $50 According to Short Sellers. In this article, we are going to take a look at where Sprout Social, Inc. (NASDAQ:SPT) stands against the other AI stocks under $50.

The US artificial intelligence (Al) market size was pegged at US$123.07 billion in 2023, which should be able to compound at ~19.3% over 2024 to 2034 to touch US$851.46 billion, according to Precedence Research. While North America held over ~36.90% of the market share in 2023, the Asia Pacific market is anticipated to expand at the fastest CAGR of ~19.8% between 2024 and 2034.

The increased demand for automated and technologically advanced hardware and software products throughout end-use verticals, along with favorable government policies, continues to encourage the industries in North America to adopt Al. Over the past few years, significant investments by the tech giants in R&D fuelled technological advancements in various industries. Rapid penetration of digital technologies and the internet continue to contribute to the strong outlook for the global artificial intelligence market.

Latest Trends and Themes About Al

The 2 most important trends that stood out in 2023 were generative Al and electrification and renewables. As per McKinsey, the former saw a spike of ~700% in Google searches from 2022 to 2023, together with a strong increase in job postings and investments. This highlights the pace of technological innovation. Between 2023 and 2024, the size of the prompts that large language models (LLMs) can process, also known as “context windows,” rose from 100,000 to 2 million tokens. Electrification and renewables were another trend that saw the highest investment and interest scores.

Even though several trends saw lower investment and hiring in 2023, experts believe that the long-term outlook remains strong. The continued focus on innovation by the enterprises and elevated interest in harnessing such technologies continue to demonstrate strong future growth prospects.

Innovation has widely been accepted in 3 trends, that form part of the “Al revolution” group. These include generative Al, Applied Al, and Industrializing machine learning. While Gen Al helps in creating new content from unstructured data (like text and images), applied Al helps in leveraging ML models for analytical and predictive tasks. Finally, industrializing machine learning ramps up and derisks the development of machine learning solutions. McKinsey reported that Applied Al and industrializing machine learning, aided by strong interest in gen Al, saw significant uptick in innovation. This was reflected in the surge in publications and patents between 2022 to 2023.

At the same time, electrification and renewable energy technologies are capturing strong interest, demonstrated by the news mentions and web searches. Their popularity stems from a surge in global renewable capacity, critical roles in global decarbonization efforts, and heightened requirements of energy security amid geopolitical tensions and energy crises.

Potential for Artificial Intelligence- Applied Al, Industrializing Machine Learning, and More

The impact of analytical Al technologies, such as applications of machine learning (ML), computer vision, and natural language processing (NLP), has been growing throughout sectors. McKinsey research believes that Al applications have the potential to unlock an economic value of $11 trillion – $18 trillion annually.

The Regulators and policymakers continue to take note of Al’s increasing impact. For example, the European Parliament passed the unified EU Artificial Intelligence Act. Regarding real-life uses, Saudi Aramco was able to develop an Al hub to efficiently analyze over 5 billion data points per day from wellheads in the oil and gas fields.

Industrializing machine learning (ML), widely known as machine learning operations (MLOps), refers to the process of scaling and maintaining ML applications within enterprises. MLOps remain critical in developing, deploying, and maintaining gen Al solutions. This will enable ML algorithms to be dispatched quickly and effectively. Some sectors which are adopting industrialized ML practices are energy and materials and technology, media, and telecommunications.

Our methodology

To list the 10 Worst Artificial Intelligence Stocks Under $50 According to Short Sellers, we added 20 AI tickers to the Finviz screener and sorted them by short interest. Next, we narrowed our list of stocks by selecting the ones having high short interest and share prices below $50. Finally, the stocks were ranked in ascending order of their short interest.

Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).

A marketing manager in a boardroom making decisions about the company’s social media management platform.

Sprout Social, Inc. (NASDAQ:SPT)

Share Price as of September 20: $28.38

Short % of Float (As of August 30): 13.03%

Number of Hedge Fund Holders: 16

Sprout Social, Inc. (NASDAQ:SPT) is engaged in designing, developing, and operating a web-based social media management platform. Sprout’s AI and automation inherits the manual work involved in publishing, listening, analytics, employee advocacy, and customer care so that the decision-making can be efficiently done.

Bears opine that Sprout Social, Inc. (NASDAQ:SPT) will be impacted by the broader market trends and investor sentiments, as it navigates through a difficult landscape of economic uncertainties and shifting industry dynamics. Moreover, the concerns regarding weaker bookings and the transition to prioritizing annual contracts might also impact its future performance. Next, the bears believe that the company continues to face lengthening sales cycles, which might also weigh over its performance. Recently, a change in the CEO weighed over investors’ sentiments.

However, Wall Street analysts believe that the company’s product offerings should continue to support its growth objectives.  Sprout Social, Inc. (NASDAQ:SPT) recently highlighted a substantial increase in customers making a contribution of over $10,000 and $50,000 in annual recurring revenue (ARR). The company expects a positive outlook for the remainder of the year, with continued revenue growth. Improved gross retention rates and increased competitive win rates should continue to act as tailwinds.

Apart from successful product developments, like the Tagger product, Wall Street believes that its partnerships with Meta and Snapchat should continue to contribute to an optimistic outlook. Also, its go-to-market strategy, which includes verticalization of teams, led to an improvement in pipeline and opportunities.

Analysts at Robert W. Baird increased their price target on the shares of Sprout Social, Inc. (NASDAQ:SPT) from $38.00 to $40.00, giving a “Neutral” rating on 2nd August. Insider Monkey’s 2Q 2024 data revealed that Sprout Social, Inc. (NASDAQ:SPT) was in the portfolio of 16 hedge funds.

TimesSquare Capital Management, an equity investment management company, released its second-quarter 2024 investor letter. Here is what the fund said:

“Among the wide variety of Information Technology companies, we prefer critical system providers, specialized component designers, systems that improve productivity or efficiency for their clients, and others that closely tie to increasing shares of corporate IT budgets. Sprout Social, Inc. (NASDAQ:SPT) designs, develops, and operates a web-based social media management platform. The combination of lackluster first quarter results and lower forward guidance disappointed investors. We decided to liquidate the position which suffered a -53% decline while held during the quarter.”

Overall SPT ranks 5th on our list of the worst AI stocks to buy under $50. While we acknowledge the potential of SPT as an investment, our conviction lies in the belief that some deeply undervalued AI stocks hold greater promise for delivering higher returns, and doing so within a shorter timeframe. If you are looking for a deeply undervalued AI stock that is more promising than SPT but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.

 

READ NEXT: $30 Trillion Opportunity: 15 Best Humanoid Robot Stocks to Buy According to Morgan Stanley and Jim Cramer Says NVIDIA ‘Has Become A Wasteland’

 

Disclosure: None. This article is originally published at Insider Monkey.

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