How Many AI Tools Are There?

The AI market is exploding, with thousands of AI tools being added to platforms like Product Hunt daily. That makes it hard to distinguish exactly how many AI tools exist at any given moment, but the total number is probably in the hundreds of thousands.

As of March 2023, there are 14,700 artificial intelligence startups in the United States alone. These businesses are centered around AI-based tools, software, and services for diverse functions like health management, payment processing, deep learning, customer management, content creation, productivity, data analytics, and more.

Source: Tracxn Technologies

The global AI hardware market is expected to grow from a mere $19.63 billion back in 2018 to a whopping $234.6 billion by 2025. The AI-driven hardware market includes categories such as CPU, GPU network products, and storage devices. The leading vendors are Nvidia, AMD, and Intel.

Source: Tractica

More than 4 billion devices already have AI-powered assistants, and this number is set to reach 8.4 billion by 2024.

Source: Statista

Nearly half of Americans are using digital assistants — 42% on their smartphones, 14% on a computer or tablet, and 8% on a standalone device such as Amazon Echo or Google Home.

Source: Pew Research

The chatbot market is predicted to grow from $190.8 million in 2016 to $1.25 billion by 2025,

Source: Statista

By 2022, 90% of all customer interactions will be handled by a bot — saving businesses around $8 billion per year.

Source: Juniper Research

Who Are the Major Players in the AI Market?

Along with asking how many AI tools are there, we should also consider what companies make the top of the list for AI products and services.

Google Inc. (US)
Microsoft Corporation (US)
NVIDIA Corporation (US)
Intel Corporation (US)
Samsung Electronics Co., Ltd. (South Korea)
IBM Corporation (US)
Amazon Web Services, Inc. (US)
Oracle (US)
Meta (US)
Salesforce (US)
Cisco (US)
Siemens (US)
Huawei (China)
SAP SE (Germany)
SAS Institute (US)
Baidu, Inc. (China)
Alibaba Cloud (China)
iFLYTEK (China)
Hewlett Packard Enterprise Development LP (US)

Source: Markets and Markets

How Many AI Systems Are There?

Based on how they learn and how they apply that knowledge, AI systems can be categorized into three types:

Artificial Narrow Intelligence (ANI): Also called Weak AI, these AI tools are trained to carry out very specific commands and cannot independently learn skills beyond their purpose. Examples are virtual assistants, image recognition software, and self-driving cars.
Artificial General Intelligence (AGI): Also called Deep AI, these AI tools are able to learn and think almost like humans. Examples are supercomputers and generative AI models like ChatGPT.
Artificial Super Intelligence (ASI): The highest level of AI, this is the stuff that science fiction is made of. These AI tools are theoretically smarter than humans.

Source: BuiltIn

What is the Most Powerful AI?

GPT-3 (OpenAI): Designed to generate human-like responses, GPT-3 has 175 billion parameters and shows impressive abilities in various language tasks.

GPT-4 (OpenAI): The latest iteration of the GPT series, GPT-4 has 100 trillion parameters and can process up to 25,000 words at once — 8x the capability of GPT-3.

Watson (IBM): This advanced AI software can interpret text documents and identify patterns that are almost impossible for humans to detect. Watson is also capable of reasoning, making hypotheses, and learning feedback. It particularly excels in the healthcare industry with its ability to predict skin cancers just from an image of a patient and detect diseases like cardiovascular disease and cancers with impressive accuracy.

Sophia (Hanson Robotics): Sophia is a humanoid robot designed to interact with humans using facial expressions, gestures, speech synthesis, emotional stimulation, and natural language processing. She made history in 2017 when Saudi Arabia granted her citizenship — the first of her kind.

AlphaGo (Google DeepMind): Designed to play the Chinese board game Go, this technology landed in magazines when it beat Lee Sedol, the reigning world champion. AlphaGo is trained on a large corpus of human Go games and fine-tuned with Deep Reinforcement Learning.

Tesla Autopilot (Tesla): The technology behind Tesla’s self-driving cars, Tesla Autopilot is a smart AI system that uses cameras, radar, ultrasonic sensors, and GPS to drive and park a vehicle without human intervention. It can also detect road accidents with 90-95% accuracy.

Source: Litslink

What is the Most Used AI Language?

According to the University of California, Berkeley, the most widely used and desired programming languages for artificial intelligence are:

Python
Java
C++
JavaScript
Julia
LISP

Source: Berkeley Coding Boot Camp

What Are the Biggest AI Models?

Large language models (LLM) are computer programs that are trained to analyze vast amounts of textual data in order to predict word sequences, which enhances their ability to generate text. Language models serve as the basis for numerous natural language processing (NLP) applications, including speech-to-text conversion and sentiment analysis.

Some of the biggest AI models are:

OpenAI

GPT-3
GPT-4

Google

LaMDA
Bard
BERT
PaLM
mT5

DeepMind

Gopher
AlphaFold
Gato
Chinchilla
Sparrow

Meta

LLaMa
ESMFold
OPT-IML
BlenderBot-3

AI21 Labs

Jurassic-1

Microsoft/Nvidia

Megatron-Turing NLG

LG AI Research

Exaone

Anthropic

Claude

Hugging Face

BLOOM

Baidu

Ernie 3.0 Titan
Ernie Bot

Huawei

PanGu-Alpha

Sources: MarkTechPost, AI Business

What is the Smartest AI Robot?

Humanoid robots resemble the human body. They are designed to interact with human tools and customer service. The most advanced robots are able to talk like humans, walk like humans, and even express emotions.

Applications of humanoid robots include education, personal assistance, manufacturing, search and rescue, healthcare, entertainment, and more.

Here are 5 of the smartest AI robots in the world.

Sophia by Hanson Robotics
Asimo by Honda
Atlas by Boston Dynamics
Ameca by Engineered Arts
Nadine by Kokoro

Sources: Forbes, ResearchGate, Honda, Boston Dynamics, Engineered Arts

How Are Businesses Adopting AI Tools?

Close to 80% of businesses are using or exploring AI. Among them, 35% have already adopted AI into their operations while 42% are planning to implement it in the future.

Let’s look at how companies from different industries are adopting AI tools.

58% of B2B companies and 42% of B2C companies use chatbots.
IDC analysts predict that financial services companies will spend $11 billion on AI tools to prevent fraud, streamline underwriting, and improve overall customer experience.
66% of leading global financial firms have adopted a chatbot to help customers with online transactions.
AI in retail is expected to grow from $4.84 billion in 2021 to $31.18 billion by 2028.
73% of retailers plan to use AI to determine prices based on rising costs and seasonal demand.
75% of retailers plan to adopt AI tools to reduce credit card fraud.
Amazon reduced its click-to-ship time by 225% — down from 75 minutes to just 15 minutes — thanks to robots automating its packing process.
Netflix saved $1 billion in canceled subscriptions by using machine learning.
The chatbot market in the healthcare industry is forecast to surpass $543 million by 2027.
Heliograf wrote more than 850 stories on the Rio Olympics for The Washington Post.
70% of light-duty vehicles and trucks will be connected to the Internet by 2023.
AI will take over 10% of nursing duties by 2030.
In the travel and hospitality sector, 25% of businesses are already using chatbots to handle general inquiries and bookings, while 46% are planning to adopt the technology in the future.

Sources: IBM, Fortune Business Insights, EMB, AIIOT, McKinsey, Forbes, The Washington Post, Statista, EIT Health, Statista, OvationCXM, Forrester, Market Research Future

How Will AI Tools Impact Business?

Businesses are excited about the enormous potential of AI to reduce their labor costs and increase productivity. But along with these benefits are concerns over technology dependence and the learning curve that comes with AI adoption.

97% of business owners believe ChatGPT will benefit their business.
In 2022, businesses saved a total of $11 billion just by adopting chatbots.
Businesses can save up to 30% on customer support costs alone by using chatbots.
55% of businesses that use chatbots generate more high-quality leads.
Chatbots can increase website conversions by up to 100%.
Upselling chatbots have a 20% conversion rate.
30% plan to use ChatGPT to write website content.
44% plan to generate content in multiple languages.
64% believe AI will enhance customer relationships.
64% believe AI will increase business productivity
42% believe AI will streamline job processes.
43% are concerned about technology dependence
35% worry about not having the technical skills to use AI effectively.
27% of business executives plan to invest in AI cybersecurity safeguards to defend against cyber attacks.

Sources: Forbes, PwC, IBM, Drift, Leadoo, Tidio

How Will AI Tools Impact Consumers?

With the explosion of AI tools like ChatGPT and Dall-E, there is a growing inclination among consumers to use AI instead of traditional means for interacting with information online.

88% of consumers have had at least one conversation with a chatbot.
Around 1.5 billion people worldwide are using chatbots, and most of them are in the United States, India, Germany, the United Kingdom, and Brazil.
67% of consumers would rather ask questions and find information through ChatGPT than Google.
67% of consumers expect to talk to a business through live chat.
62% of consumers would rather talk to a chatbot than wait for a human agent.
90% of customer queries are resolved by a chatbot in 10 or fewer messages.
54% believe AI can improve website content.
46% of Americans use digital voice assistants.
53% believe chatbots have improved customer experience.
75% are concerned about misinformation from AI tools.

How are they using AI tools for everyday tasks?

45% use AI to respond via text or email.
43% use AI to answer financial questions.
38% use AI to plan a travel itinerary.
31% use AI to write an email.
30% use AI to prepare for a job interview.
25% use AI to write social media posts.
19% use AI to summarize long-form, complex text.
71% talk to a chatbot to check the status of their orders
67% use a chatbot to search for products
62% use a chatbot to search for deals and discounts
59% talk to a chatbot to order food
58% talk to a chatbot to book a meeting
54% use AI to make a payment
46% talk to a chatbot to return a product
40% talk to a chatbot for troubleshooting
28% talk to a chatbot to complain about a product or service

Sources: Forbes, Pew Research Center, Chatbots Magazine, Tidio

What Are the Top Barriers to Adopting AI Tools?

Businesses can face a myriad of challenges when considering the adoption of new technology. Here are some of the top barriers to implementing artificial technology in the workplace:

56% lack of personnel skills
42% inability to understand AI benefits and uses
34% data scope or quality
26% integration complexity
26% finding use cases
25% defining a strategy
20% security or privacy concerns
13% governance concerns
12% lack of funding
10% confusion over vendor capabilities

Source: Gartner

What Industries Will Survive AI?

Artificial intelligence will continue to radically transform the workforce.

Robots, artificial intelligence (AI), machine learning, and automation will replace 7% of US jobs by 2025.
The biggest disruptions will happen in the area of office and administrative support.
At the same time, AI will create new jobs such as data scientists, content curators, and robot monitoring professionals — which could mean 8.9 million new hires by 2025.
93% of automation technologists feel unprepared or only partially prepared to tackle the challenges associated with smart machine technologies.

Source: Forrester

All is not gloom and doom once AI sweeps through the job market. Forbes tech experts predict that these industries will survive the AI onslaught:

Logistics
Healthcare
Education
Agriculture
Financial Services
Marketing and Advertising
Human Resources
Energy
Construction
Public Transportation
Media and Entertainment