Imagine the power to create compelling content in minutes – blog posts, marketing copy, videos, and even entire ad campaigns – all at your fingertips. And that’s the reality of generative AI today.
Generative AI tech isn’t just for tech-savvy professionals or large enterprises. It’s for anyone looking to do more with less time and effort. The global genAI market size is estimated to grow from nearly $21 billion in 2024 to $136+ billion by 2030, at a growth rate of 36.7%. This growth is fueled by the increasing demand for generative AI tools in various industries.
In this guide, I’ll explore how you can make the most of genAI, starting with the best tools, industry use cases, and actionable tips to boost your business.
Key Takeaways
- Generative AI tools generate various content based on specific user input.
- Journalist AI, ChatGPT, Gemini, Jasper AI, and GitHub Copilot are some of the best generative AI tools used today.
- The use of genAI tools is prominent across various industries like healthcare, education, marketing, fashion, and more.
- Though the tech has its benefits, it comes with its own drawbacks – but its transformative potential in businesses cannot be ignored.
First – a Quick Brief on Generative AI
Generative AI, or genAI, is reshaping how we approach content creation. It’s like having a creative assistant who never sleeps and is always ready to help you brainstorm, refine, and generate ideas or content. It operates on complex AI models and algorithms that are trained on large unlabeled data sets, which require very high computing power. These data sets train the AI to respond intelligently to user prompts by mimicking human intelligence.
Today, companies and businesses are exploring ways that generative AI can improve workflows, risk analysis, and marketing.
According to one of McKinsey‘s reports, genAI applications add nearly $4+ trillion to the global economy annually.
Some of the potential benefits are:
- It streamlines the manual process of content creation
- It minimizes the effort required to draft and respond to emails
- It improves the quality of responses to technical queries
- It summarizes complex information into clear, concise details
- It simplifies the process of content writing, focusing on a particular style or tone.
Now that we’ve covered the basics, let us discuss generative AI tools in detail and applications of genAI across various industries.
The Best Generative AI Tools To Use
Let us take you through some of the best generative AI tools used today:
Journalist AI
It is one of the best AI tools for SEO content writing out there. If you’re exploring new ways to generate content for your business, Journalist AI can be very handy. It is tailored for writers and marketers who want to produce high-quality SEO content quickly.
Here’s why you’ll love it:
- It allows you to generate three free articles.
- It automatically adds a call-to-action section in articles.
- It suggests internal and external links to improve its SEO value and credibility.
- With its knowledge base integration, it generates content that reflects your brand voice.
- The automation feature manages all blog posting, indexing, and social media syndication for a strong online presence.
- It can generate blogs and articles in about 150 languages.
- There are different price plans to choose from with unique benefits.
Try it out today and simplify your writing process.
ChatGPT
Open AI’s ChatGPT is the most popular generative AI tool among all others. According to a study, ChatGPT contributed to 82.5% of total web traffic among 40 other tools that were analyzed.
In July 2024, ChatGPT was the only tool that recorded nearly 2.5 billion site visits and had around 200 million weekly active users globally. The US has the highest number of users (14.1%), followed by India (10.6%).
You probably didn’t know this, but ChatGPT is trained using reinforcement learning from human feedback. The previous version, the GPT3 model, is trained on 175 billion parameters, while the GPT4 model uses over one trillion parameters during training to provide better output.
When and how to use ChatGPT:
If you have writer’s block and cannot create content, ChatGPT is your go-to for:
- Creating ad copies
- Video scripts
- Blog titles and outlines
- Brainstorming ideas
- Coding and solving problems
- Rewrite old content
- Draw tables and charts
- Keyword research for SEO content, and more.
If you are still using the free version, you can upgrade to ChatGPT Plus and get access to new features, data analysis, and image generation.
Gemini
Google’s Gemini, previously known as BARD, was designed to compete with other top generative AI tools (like ChatGPT). It combines language understanding and image generation, indicating multi-modal capabilities. It is still undergoing many changes and might be a professional game-changer.
Why Gemini stands out:
- Better performance and output in understanding complex instructions
- Generates texts and relevant images for business needs
- Helps with featured snippets
- Checks schema markup
- Perfect for keyword SEO and clustering.
ChatGPT vs Gemini: Which is Better? Find out which tool fits your needs best.
Jasper AI
We’ve all been through a phase where we felt stuck staring at a laptop screen and wished words would just write themselves. That’s where Jasper AI (previously known as Jarvis) steps in, like your personal writing genie. This generative AI tool is perfect for marketers, bloggers, or business owners who want to optimize their content with ease.
Why Jasper AI is reliable:
- Content templates are available for email, blogs, social media copies, and ad copy generation.
- It provides SEO content to rank on top of various search engines.
- Jasper AI generates creative ideas, making it easier to brainstorm and develop engaging content.
- The built-in plagiarism checker helps you maintain the originality of your work.
- The platform is easy to navigate and use due to its user-friendly interface.
By using genAI tools for marketing, you can consistently create a lot of high-quality content while managing your time efficiently and focusing on business scalability.
GitHub Copilot
GitHub Copilot is one of the most preferred AI developer tools today. It was created in collaboration between GitHub, Microsoft, and OpenAI in October 2021. From building boilerplate code to fixing pesky bugs, Copilot transforms how developers work.
Why developers swear by it:
- It generates code in JavaScript, TypeScript, Python, and Ruby.
- It offers real-time code suggestions, enhancing your workflow.
- It helps in efficient debugging and error correction by providing potential solutions.
- GitHub Copilot automates test cases to ensure your code runs smoothly.
- The tool can autocomplete the documentation for your code.
- It streamlines coding by optimizing, refactoring, and reorganizing code for better efficiency and readability.
GitHub is buzzing with activity today as AI takes center stage in the global developer community. According to Octoverse 2024 report, the platform recorded 518+ million projects. Developers from tech-dominating countries like India, Germany, Japan, and Singapore are fueling this growth, highlighting how AI is reshaping coding across countries.
Though the benefits and popularity of these best generative AI tools are profound, they also come with a high environmental cost. Since AI tools require high energy resources and hardware, the carbon footprint of generative AI is quite high and leads to drastic environmental impacts.
Use Cases of Generative AI
We’ll now discuss some of the use cases of generative AI tools and how they positively impact the growth of various industries.
- Content creation
Generative AI tools have redefined content creation, making it possible to generate blogs, videos, ad copies, newsletters, social media posts, and even songs – all at lightning speed.
For instance, tools like Journalist AI and ChatGPT can draft an entire article while you sip your morning coffee. Businesses can use various generative AI tools to ideate faster and create highly optimized content quickly.
- Healthcare
Generative AI tools in healthcare are turning unstructured data sets into actionable insights and simplifying documentation. For example, clinics or hospitals can use genAI to convert patient interactions into structured clinical data and analyze past details for quicker decision-making. While the potential for digitizing healthcare systems is immense, data security and safety are critical for the tech’s effective adoption.
Some of the best generative AI tools in healthcare include Paige, Insilico Medicine, and Iambic, which help streamline clinical operations, produce synthetic medical data, and speed up the process of drug discovery.
- Marketing
In marketing, generative AI takes personalization to a whole new level. One famous example here is Netflix’s AI-driven approach to content recommendation. If you love watching thriller movies and have rated some of them based on your liking, the algorithm studies this watch pattern and ratings to recommend more such thriller content for you. The real-time analysis of such user data helps to align with the viewer’s interests.
According to a study, Netflix generates almost 75% of its revenue, i.e., $1 billion every year, from personalized content suggestions.
- Manufacturing
The use of genAI tools in manufacturing has several advantages. It helps to streamline processes, elevate product design, optimize the supply chain, and boost operational efficiency. Proper integration of genAI tools can help keep product quality in check, predict equipment features and improve how manufacturers approach production and maintenance. Some of the popular generative AI tools in manufacturing are Altair, Autodesk, and Pecan AI.
- Education
Education is another major sector where generative AI tools are being used prominently. It is transforming education by creating personalized learning experiences for students.
Platforms like Khan Academy now use AI tutors – Khanmigo – to help students understand difficult concepts. Teachers also use AI to generate lesson plans, quizzes, essay topics, questionnaires, etc., which reduces a lot of workload.
- Fashion
GenAI is making significant strides in the fashion industry, redefining customer engagement, production, and design aspects. Various genAI algorithms can analyze vast data sets of fabric types, textures, and patterns, optimize supply chains, aid in sustainable design solutions, and enhance the overall shopping experience.
The renowned fashion giant Zara, is leveraging AI to optimize its supply chain, from production to product distribution.
- Automotive
Generative AI tools in the automotive industry help in design optimization and predictive maintenance of vehicles. It can also simulate various driving conditions, which allows engineers to analyze and improve vehicle performance and safety features.
Globally leading brands like Tesla, BMW, Ford, and Toyota have integrated genAI tools for data analytics, inventory management, and customer engagement.
- Finance
The use of genAI in the finance and banking industry has enhanced consumers’ confidence in decision-making and their experiences. The genAI tools detect fraud in real-time by identifying patterns in the investment market and offer tailored solutions, optimize investment portfolios, and mitigate risks.
Today, many organizations and banks, such as Swift, ING Bank, and Goldman Sachs, are using some of the best generative AI tools to improve the finance sector.
- Real estate
The use of genAI in the real estate domain unlocks opportunities for accurate property valuations, personalized recommendations, price optimization and predicts maintenance needs. It can also suggest renovations, floor plans, and other customized options. Generative AI tools can enhance your property buying experience, unlike traditional processes.
According to McKinsey, generative AI has the potential to fully transform the real estate industry and could generate nearly $110 to $180+ billion in value in the next few years.
- Customer support
AI-powered chatbots like those in HubSpot, Amazon, Sephora, and many others handle customer inquiries across live chats, emails, and website pages, often mimicking human-like conversations. These tools can perform sentiment analysis, provide accurate solutions, and streamline support operations.
Imagine if Amazon doesn’t respond to your product delivery query on time – you might think twice before ordering anything next time due to lack of an issue resolution. Therefore, addressing consumer queries improves the satisfaction rate and maintains the reputation of the brand for good customer service.
Tips While Using Generative AI Tools for Business
We’ve seen how genAI is making its way into major industries and top brands. Today, more than 92% of Fortune 500 companies are using generative AI tools for marketing and branding. It indicates how these tools are essential for modern business growth and success.
If you are thinking of using generative AI tools, here are some quick tips on where to focus on:
- Branding: Use AI to generate consistent, on-brand SEO content across all social media platforms with a clear brand message and intent.
- Marketing: Leverage genAI to draft campaign ideas based on your customer data and create highly targeted marketing strategies.
- Advertisements: Create optimized ad copies and visuals and check which performs the best in the market.
- Videos: Enhance your marketing strategy with AI-driven videos made of avatars to create engaging promotional videos for your brand.
- Business plans: Seek help from generative AI tools to draft business plans and strategies by analyzing market trends and risks.
Challenges of Generative AI
AI tech has its own risks. Even the best generative AI tools are associated with a lot of challenges related to:
- Ethical: The ethical regulations related to AI are still unclear. AI can unintentionally create bias or sensitive output that can hurt society’s sentiments.
- Environmental: Training large language models (LLMs) requires immense resources, contributing to environmental degradation and high carbon emissions.
- Accuracy: Generative AI tools can produce incorrect outputs with factual errors.
- Hallucinations: The genAI tools can sometimes generate entirely false or misleading information.
- Deepfakes: The AI tech can be misused to create fake videos or audio, which raises concerns about its safety and usage.
It’s always better to cross-verify the information generated by AI tools and rewrite the content as humanly as possible.
The Future of Generative AI
The future of generative AI is indeed promising. With trends like hyper-personalization, real-time collaboration, and AI-based creativity, generative AI tools have caught all the attention. In the highly competitive business landscape, using generative AI tools for marketing can prove fruitful. From dynamic marketing strategies to customer experiences, genAI has an impact everywhere across industries.
Today, AI adoption is driving innovation globally. It won’t be surprising that if, within the next couple of years, companies and industries are not leveraging AI, they may be considered obsolete.
The use of genAI has already reshaped how we ideate and create content. Research is still ongoing to make these tools safer and more secure to use while being considerate towards the environment. This growth is just the beginning – genAI tech is here to thrive!
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