Introduction

Today we answer a question, ”Should I buy Amazon stock now? ”. Find out how AI is being used in Amazon’s ventures including AWS, Alexa, Kiva robots, and Go stores. Analyze how innovation with Artificial Intelligence is reshaping Amazon’s operations and learn about Amazon’s role in the age of cloud computing.

Amazon is a world’s largest e-commerce company and largest cloud services provider which has always been proactive in enabling technologies. Over the course of the past few years, the company has engaged in the active use of artificial intelligence (AI) to augment its capacity in doing business as well as making customers’ experiences exciting, especially when trying to pioneer advancements across multiple industries. Alexa, first launched in 2014, an AI-based voice assistant, and the sophisticated machine learning services available through Amazon Web Services are all now considered to be IoT’s core. As the worlds demand concerning AI grows as an essential key, Amazons intelligent investment in innovative technologies defines today’s consumer-facing retail industry and the emerging cloud-computing services marketplace. [1]

Amazon in the AI Era

Amazon is investing in AI across most of its segments of businesses to improve its functioning, develop superior customer solutions, and inspire innovation. While AI increasingly firmly establishes itself in global technology infrastructure, the fully-fledged Amazon has unveiled it as the industry pioneer with AI-enhanced solutions and cloud services. [2]

Businesses of Amazon Related to AI

Amazon’s artificial intelligence services include both product distribution and services to other companies in various fields, ranging from retail to cloud computing, voice assistance, logistics and many others. Here are some of the key areas where Amazon is applying AI:

• Amazon Web Services (AWS): Currently, Amazon’s most significant AI-centered business. AWS has a wide menu of AI and machine learning services by which many firms can create smart applications. AWS AI services include a natural language understanding (NLU), computer vision, forecasting service, and custom-built models with the Amazon SageMaker.
• Amazon Alexa: This one is artificially intelligent and it suggests products, allows users to shop with their voice and manages home appliances. As of now, more than 100 million devices have been integrated with the Alexa voice assistant and the world has become reliant on voice assistance through ubiquitous presence.
• Amazon Robotics: AI and robotics are the obvious key advancements changing the shape of Amazon’s fulfillment centers. Robotic technology based on AI helps to sort, pack and move goods throughout the storage with great efficiency and accuracy, minimize human mistakes, increase the rate of order processing and organization of the warehouse space. These AI systems help Amazon to deliver millions of packages all efficiently.
• Amazon Go: The cashier-less store concept being employed by Amazon was powered mostly by artificial intelligence, computer vision and sensors to enable customers to make their purchases and leave without standing in a checkout line. The system identifies which of the products have been taken off the shelves, or replaced and puts them in a virtual trolley to charge the customer when they are exiting the store.
• Amazon Prime: It is also used in tailoring shopping experiences based on consumers’ habits, estimating buyer’s behavior and supplying Prime customers with optimal delivery options. [3]

Some AI-Driven Products of Amazon

Amazon’s product offerings powered by AI include:

• Amazon SageMaker: An integrated product in the AWS portfolio that enables developers and data scientists to design, train and scale up machine learning models.
• Amazon Recognition: This is an image and video analysis as a service that developers can integrate into their applications for vision computing.
• Alexa-powered Devices: Alexa is used in Amazon Echo, Echo Dot, and Fire TV. These devices allow voice control of home utilities, home entertainment, and home information search.
• Amazon Personalize: It is also a real-time recommendation engine that can be used to build custom user experiences for businesses all pertained with machine learning models of the customers.
• Amazon Comprehend: It is also defining a natural language processing, NLP, service based on machine learning to gain a better understanding of the text data to assist in customer services, analyzing the sentiment of these services, and in classification of documents. [4]

Amazon Web Services (AWS)

AWS is currently the leading cloud solution provider globally with a significant contribution of the total sales and earnings of Amazon. AI and machine learning services have become expansive and AWS offers what can be referred to as an extensive solution for various sectors. The suites allow companies to adapt state of the art AI tools into their operations without the need to rely on special skills from the employees. Find out about this AI: Giant Nvidia Stock Price Prediction 2030: Fair Value

Key AI services within AWS include

• Amazon SageMaker: As mentioned early, it is a fully managed service where developers could easily develop and train machine learning models. The primary use cases incorporate the following; billing and usage metrics, demand and forecasting, fraud and anomaly detection content recommendation, and many more.
• AWS Lambda: This type of infrastructure enables users to run code in response to events when no servers need to be provisioned and managed, with popularity in AI application use.
• Amazon Polly: A text-to-speech system based on artificial intelligence to transform typical text into natural speech, allowing the creation of audio versions of content items, for example, podcasts or assistive technologies.
• Amazon Translate: A premium service that is capable of translating different languages at the same level at which they are spoken for business parties that deal with different languages.
• Amazon Lex: An offering for adding conversaton capabilities in applications through speech and text, which underlies Amazon Alexa. Lex can be employed to build natural interfaces for carrying out the chores of customer support, messaging, among other related services which developers can work on.

Why AWS is Important

AWS has emerged as a vital component of Amazon’s thinking towards the coming age of AI. It further reveals that AWS offers efficient, reliable and cost effective AI and cloud solutions for internet-based enterprises ranging from new born firms to international giants popularly known as Fortune 500 firms. AWS makes up more than 60% of Amazon’s operating income and is set to grow even further as the world demands AI-based services and the cloud computing technology.

AWS is revolutionary in the field of AI because it puts AI adoption within affordable reach of all types of businesses. AWS provides simple to use tools and models for AI and machine learning that allow businesses to utilize AI solutions without having to develop the physical infrastructure or the expertise within the organization. That democratization of AI has made AWS the leader in the global cloud market.

Should I Buy Amazon Stock Now

Fair Value Estimate (AMZN)

The fair value estimate with different growth rates is as follows:

• 28% Growth Rate: $148 per share.
• 30% Growth Rate: $159 per share.
• 41% Growth Rate: $233 per share.

Since the current stock price of Amazon is greater than the depicted fair value at 28% growth and 30% growth rate estimates, the stock is most appropriate to be considered overvalued for the conservative investor? If you think Amazon will grow at a much higher price (41%) in the future then its current price is justified.

Stock Price Prediction (Amazon)

Metric	Value
P/E Ratio	79.6
P/B Ratio	8.1
Market Cap (USD)	1.65 Trillion
Fair Value (28% Growth)	$148
Fair Value (30% Growth)	$159
Fair Value (41% Growth)	$233
Free Cash Flow (3 Years)	Decreased (-6.9%)
Revenue Growth (2021-2024)	+12.6%
EPS Growth (3 Years)	+8.5%
EBITDA Growth (3 Years)	+4.7%

• Cost of Capital: 9%: This means that for a new investment to create these values, it must earn a return greater than this figure.
• Free Cash Flow: Amazon has registered rather volatile free cash flow in the past three years. In the light with the information presented in the report, the figure has slightly gone down, with the relative change of -6.9%.
• Revenue Increase (from 2021 to 2024): Macroeconomic factors appear to have been relatively challenging to Amazon; however, it has not significantly affected its revenues due to the diversification of e-commerce, cloud computing, and intelligent services.
• Earnings per Share (EPS): For the last three years, it is evident that the company has grown its EPS by a percentage of 8.5%. This shows that there is an enhancement in the issue of profitability and the control of the earnings.
• EBITDA Growth: This indicator has increased with a relative change of 4.7% in the financial years 2021, 2022, 2023 and 2024. This small rise can be attributed to operational excellence despite other problems like increasing cost and a disrupted supply chain. [5]

Conclusion

As is usual for most dot.com stocks, overvaluation is apparent at the current growth rates, especially if one uses a bearish view on Amazon’s growth rates based on the recent balance sheet data. However, long-term growth for higher risk investors may be found in ever advancing AI and cloud computing (AWS). Another factor that has to be taken into account is one’s risk taking ability or another word for this is risk tolerance and holding period.