Everything comes at a cost, and AI is no different. While ChatGPT and Gemini may be free to use, they require a staggering amount of computational power to operate. And if that wasn’t enough, Big Tech is currently engaged in an arms race to build bigger and better models like GPT-5. Critics argue that this growing demand for powerful — and energy-intensive — hardware will have a devastating impact on climate change. So just how much energy does AI like ChatGPT use and what does this electricity use mean from an environmental perspective? Let’s break it down.

ChatGPT energy consumption: How much electricity does AI need?

Two years have passed since the Pixel Buds Pro first hit store shelves. Launched at Google I/O 2022, they were the first in Google’s buds lineup to offer high-end features like active noise canceling. But with a launch price of $199, the Pixel Buds Pro didn’t outshine the competition and lacked some features that were almost considered industry standard by 2022.

Fast forward to today, however, and the Pixel Buds Pro have become some of the most well-rounded true wireless earbuds on the market. And I’m not referring to the fact that you can often find them on sale for less than $140. No, I’m referring to the many, many firmware updates that have completely transformed them since their release.

Just as smartphone hardware and processing power reached maturity, tech giants have found a new way to sell you an upgrade: AI. Even Apple has jumped on the bandwagon as it gears up to launch a revamped Siri and Apple Intelligence via an iOS 18 update later in 2024. Google, meanwhile, has pushed Android brands to adopt its Gemini family of language models for everything from image editing to translation since last year. But while Apple Intelligence and Google Gemini may look similar on paper, the two couldn’t be more different in reality.

Even though Apple tends to take a more conservative approach when adopting new technologies, its AI push has been swift and comprehensive. With that in mind, let’s break down how Apple Intelligence differs vs Google Gemini and why it matters.

Apple Intelligence vs Google Gemini: Overview

The biggest difference between Apple Intelligence and Gemini is that Apple Intelligence is not anchored to any single app or function. Instead, it refers to a wide variety of features available across the iPhone, iPad, and Mac. In other words, Apple has made AI as invisible as possible — you may not even realize its presence outside of certain obvious instances like Siri.

On the other hand, Gemini started its life as a chatbot to compete with the likes of ChatGPT and has gone on to replace the Google Assistant. Even though Gemini’s capabilities extend beyond chat, features like text summarization and translation can vary depending on your smartphone of choice. For example, Samsung’s Galaxy AI offers a different set of AI features than those found on Google Pixel devices, even though both companies use (and advertise) Gemini Nano.

Gemini's feature set differs from one device to another, while Apple Intelligence is standard.

While introducing Apple Intelligence, the Cupertino giant also made a big deal about its commitment to privacy. Cloud-based AI tasks will be performed strictly on Apple’s servers on the company’s own hardware. More importantly, human-AI interactions will not be visible to anyone besides the user, not even to Apple.

However, the platform isn’t entirely closed off either; Apple has announced a ChatGPT integration for complex Siri queries. Rumors also indicated that the company may offer responses from Gemini as an alternative to ChatGPT. This willingness to include third-party integrations marks a significant shift for Apple, which traditionally prefers to keep its ecosystem tightly controlled. However, it offers Apple a way to offload blame if the AI model responds with unsafe or misleading information.

Are Apple Intelligence and Gemini free?

Yes, both Apple Intelligence and Gemini are free to use. However, Google offers an optional paid tier called Gemini Advanced that unlocks higher quality responses, thanks to a larger language model. While Apple doesn’t directly charge for its AI features, you can link a ChatGPT Plus account to access paid features like access to the latest GPT-4o model.

Apple Intelligence vs Google Gemini: Features compared

Both Apple Intelligence and Gemini power a slew of AI features, but they differ slightly in terms of their implementation and availability. Here’s a quick rundown:

1. Assistant: Using the power of large language models, Apple’s Siri and Google’s Gemini can both act as capable digital assistants and answer any question under the sun. Based on Apple’s demos, the new Siri has a clear advantage as it can coordinate actions across apps. For example, you can ask it to send photos from a specific location to your contact without opening either the Photos or Messages app. Gemini cannot perform this kind of functionality yet.
2. Screen context and personalization: Apple Intelligence can access information on your screen before responding. It can also access texts, reminders, and other data across Apple apps in the background. With Gemini, you have to manually tap “Add this screen” each time to let the AI read it.
3. Photo editing: Google uses Imagen 2 instead of Gemini for image-related tasks but it’s still surprisingly capable — Magic Editor in Google Photos can remove objects, replace the sky, and more. Samsung also uses the same model for its Photo Edit feature. Apple Intelligence adds an object cleanup tool to the Photos app but it does not offer as many AI editing options as Magic Editor.
4. AI image generator: Apple’s Image Playground is a new app that creates AI-generated images and emoji, either based on your contacts or custom descriptions. These can be easily dropped into chat apps. Gemini can generate images too, but only via typed prompts.
5. Mail and productivity: While you can find Gemini in many Google apps these days, the majority of features are unfortunately locked behind Gemini Advanced. Help Me Write in Gmail and Google Docs, for example, won’t appear without the subscription. Apple’s Mail app, on the other hand, will summarize your emails using an on-device model. A feature called Smart Reply will also generate a reply on your behalf after asking relevant questions based on the incoming email.
6. Writing tools: Apple leads in this area as you can select any piece of text across the operating system and perform AI language tasks like proofreading, summarization, and paraphrasing. Galaxy AI offers similar tools via Samsung Keyboard’s Gemini Nano integration but you won’t find it on every Android phone. In fact, it’s even missing on Google’s Pixel devices and Gboard.

Apple Intelligence and Gemini: Supported devices and availability

Since many Apple Intelligence features utilize an on-device large language model, we knew that Apple would only bring it to relatively modern devices. However, the company has gone further than many expected and locked the entire suite to the iPhone 15 Pro series. That’s right — the regular iPhone 15 series (and earlier models) will not support Apple Intelligence, even the parts that rely entirely on the cloud.

Google, meanwhile, has done a commendable job of bringing Gemini to as many Android devices as possible. The chatbot is available on every single Android smartphone, for instance, and even features powered by the on-device Gemini Nano model is available on more devices like the Pixel 8a.

Apple Intelligence won't be available to the vast majority of users for the foreseeable future.

Over on the computing side, Apple is more generous as it will deliver AI features to all macOS devices dating back to the M1 chip from 2020. Meanwhile, Google offers limited Gemini features in ChromeOS and you can only use it on newer Chromebook Plus machines. That said, the Gemini chatbot is accessible via a web browser on any computer.

Availability is another sore spot for Apple Intelligence. It will not launch in the UK, European Union, and China. You will also need to set your device to the “US English” locale. While these restrictions may be relaxed at some point, Gemini is far ahead of the curve as it supports all major languages and regions.

Apple Intelligence vs Google Gemini: Privacy

Adding AI to anything is risky — the technology is prone to hallucinating and generating misleading information that could ruin a brand’s reputation. Just ask Google; the company faced backlash over its AI Overviews feature in search and has since walked it back. Another risk is data privacy — nobody wants to share sensitive data only to have it leaked or used to train future AI.

Apple has countered this problem by using a model small enough to power many AI features entirely on-device. It also employs a strategy called Private Cloud Compute, which works as follows:

When a user makes a request, Apple Intelligence analyzes whether it can be processed on device. If it needs greater computational capacity, it can draw on Private Cloud Compute, which will send only the data that is relevant to the task to be processed on Apple silicon servers. When requests are routed to Private Cloud Compute, data is not stored or made accessible to Apple, and is only used to fulfill the user’s requests.

Gemini, meanwhile, also comes in multiple variations. The smallest language model, Gemini Nano, runs on your device even and is the most private option. We have a list of every Gemini Nano-powered feature on Pixel devices, and Galaxy AI has a similar feature set too.

For more complex tasks, however, you will need to use Google’s cloud-based Gemini models. And unsurprisingly, the search giant’s privacy policies aren’t as user-friendly — Gemini interactions are not only stored on Google’s servers, but they are also used to train and improve future language models. In other words, it’s the complete opposite of what Apple offers and you may want to avoid sharing sensitive information with Google’s chatbot. You can opt out of AI model training on Gemini but that comes at the cost of losing access to chat history and Extensions that allow the chatbot to access data from Gmail and other Google apps.

---

Overall, both AI platforms trade blows in terms of features, at least on paper. However, Apple Intelligence’s deep OS-level integration makes it far more useful day-to-day than Gemini. The only downside is that you will need the latest iPhone — and the Pro model at that. Google and Samsung may not offer the same depth, but they have done a remarkable job of bringing AI to older or less expensive devices.

---

Over the past year, we’ve seen how tools like Midjourney can create misleading imagery and potentially sway public opinion. To address these concerns, YouTube is taking a stand with new measures to safeguard user privacy. The platform will now allow users to flag and request the removal of AI-generated content that mimics their face or voice. This policy covers fully synthetic recreations or partially altered content that could be mistaken for the real deal.

If you come across content that convincingly fakes your voice or face, YouTube has added a third option to its privacy complaint form that covers this scenario. Before this, you could only report videos that included your full name or sensitive information, like a residential address, without your consent.

It’s worth noting that YouTube will review each request carefully before taking action. A key factor will be the level of realism and the potential for misuse or manipulation.

The announcement also specifies that YouTube will consider whether the reported content contains “parody or satire when it involves well-known figures.” The platform could make an exception for high-profile individuals who are already in public discourse. This seems like a reasonable trade-off as long as the AI-generated content falls under the purview of social commentary and free speech. However, it’ll be interesting to see YouTube balance that aspect against a person’s reputational risk.

In March, YouTube began enforcing the use of disclosure labels for AI-generated content. When the label is applied, viewers see a small message that reads “Altered or synthetic content” along the bottom of the video, similar to a sponsorship disclosure. This only applies when videos contain a significant amount of artificially generated content, like if an AI voice generator is used for narration.

The latest announcement is yet another step to weed out potential misuse of AI on YouTube, which may become more rampant as video generators become more capable. OpenAI’s video demos of Sora earlier this year were exceptionally lifelike and its upcoming GPT-5 model will likely support video as an additional modality on top of text, images, and audio. Google also announced its competing Veo video generator last month and plans to integrate it into YouTube Shorts.

---

Anthropic has released Claude 3.5 Sonnet, the first of three models in the AI startup’s next-generation Claude 3.5 large language model family. According to Anthropic’s official announcement, the new model “sets new industry benchmarks” across various AI benchmarks. Specifically, the company claims that Claude 3.5 Sonnet delivers more accurate responses than both GPT-4o and Gemini 1.5 Pro.

Similar to ChatGPT, Anthropic is making Claude 3.5 Sonnet available for free — albeit in a limited capacity. We ran into the rate limit after just a handful of responses, beyond which you’ll be prompted to pay $20 per month for a Pro plan or wait a few hours for the counter to reset.

Still, Claude 3.5 Sonnet boasts impressive results across various benchmarks like coding, math, and graduate-level understanding — at least according to figures shared directly by Anthropic. While self-reported benchmarks aren’t necessarily reliable, Anthropic’s previous best model keeps up with most of the competition in crowdsourced LLM leaderboards.

The new model also brings improved vision capabilities, which is most noticeable in reasoning tasks like reading and interpreting graphs. Anthropic says Claude 3.5 Sonnet can accurately transcribe text from images, once again with accuracy that rivals GPT-4o and Gemini 1.5 Pro.

Claude 3.5 Sonnet resembles Google’s latest LLM in that the middle-sized model surpasses the largest variant of its predecessor. Gemini 1.5 Pro is currently the search giant’s best model and surpasses Gemini 1.0 Ultra. Similarly, Claude 3.5 Sonnet takes the top spot for now and replaces Claude 3 Opus at a fraction of the cost. However, a larger “Opus” variant of Claude 3.5 will also be released later this year, alongside a smaller and faster “Haiku” model.

For now, Anthropic has also announced a new Artifacts feature that allows Claude to generate code snippets, documents, and even small games in a new window, separate from the chat interface. While this feature is experimental for now, the company says it’s the foundation of a “collaborative work environment.” Anthropic envisions a future where teams can work on design or code projects together in a shared space, similar to Google Docs’ real-time collaboration.

Anthropic received a whopping $2.75 billion from Amazon in its latest funding round this March. The company has also received a funding commitment of $2 billion from Google, with at least $500 million already disbursed so far. So even though Claude hasn’t become a household name like ChatGPT yet, Anthropic is one of OpenAI’s biggest rivals. However, neither Amazon nor Google has yet moved to integrate Claude into their products.

---

At its WWDC 2024, Apple announced macOS Sequoia and a significant expansion to Continuity, dubbed iPhone Mirroring. As the label suggests, the feature will let you remotely control your smartphone directly from a Mac. To access this feature, Apple is adding a new iPhone Mirroring icon that will permanently live in the Mac dock. Clicking on it will launch a new window with the iPhone’s home screen streamed wirelessly.

You can launch and interact with any iPhone app using the Mac’s trackpad and keyboard and the phone will even pass along audio to the computer. Moreover, since this feature is part of Apple’s broader Continuity suite, it extends beyond screen mirroring. For starters, iPhone notifications will now show up alongside your Mac notifications and you can simply click on one to launch screen mirroring.

---

After months of anticipation and leaks, Apple has finally announced that it’s teaming up with AI startup OpenAI. The partnership is set to bring ChatGPT-esque smarts to Siri on iPhone, iPad, and Mac. Notably, this ChatGPT integration was only one of several new AI features launched under the banner of Apple Intelligence at the company’s WWDC event today.

When iOS 18 launches later in 2024, you’ll be able to converse with Siri via natural language prompts similar to Google’s Gemini chatbot on Android. This marks a major leap forward for Siri, transforming it from a rigidly structured assistant into a conversational AI chatbot. However, Siri will not rely on OpenAI’s models for most of its responses. Instead, Apple says that it will only pass on select questions to ChatGPT.

---

Windows on Arm has been around for over half a decade at this point, but we’ve only seen a handful of devices launch in that time. However, this year is increasingly looking like an inflection point. Over the past few days at Computex 2024, we saw Qualcomm and Microsoft join hands with hardware partners like Dell and Asus to launch a flurry of new Snapdragon X-powered PCs. While that’s already a significant uptick over previous years, the industry may have even more in store for the remainder of 2024.

According to WinFuture, Microsoft and Qualcomm are busy gearing up for a significant expansion in the Windows on Arm device portfolio. A Qualcomm representative has suggested that OEMs are planning a second wave of launches for August and September of this year. Like the Surface Pro 11 and other devices announced so far, these upcoming PCs will be powered by Qualcomm’s Snapdragon X Elite and Snapdragon X Plus SoCs.

If you’re a long-time Android user like me, chances are that you haven’t considered an Apple Music subscription. For over a decade, Spotify and YouTube Music (formerly Google Play Music) have reigned supreme as the de facto music streaming apps.

Spotify, in particular, has amassed a loyal following even though its Premium tier is a standalone subscription service. On the other hand, the Apple One subscription bundles 50GB of iCloud storage with the company’s music and TV streaming services — all of which can be useful even if you’re an Android user. This makes it an excellent deal compared to Spotify’s Individual Premium plan, which costs 60% as much for music alone.

ChatGPT has become an indispensable creative tool for many of us. Cutting-edge as it is, however, ChatGPT still suffers from occasional slowdowns that can leave you waiting for seconds or even upwards of a minute between responses. Switching to the paid ChatGPT-4 model won’t necessarily speed things up either. All of this begs two important questions: why is ChatGPT so slow and what can we do to improve it?

Why is ChatGPT so slow? A technical overview

ChatGPT is an example of generative AI, or artificial intelligence that can generate new content. It’s a process that requires significant amounts of computational power. Each time you send the chatbot a message, it needs to decode it and generate a new response. Internally, ChatGPT’s underlying language model processes text as tokens instead of words. You can think of a ChatGPT token as the most fundamental unit of the chatbot’s message.

Language models like the one powering ChatGPT have been trained on hundreds of gigabytes of text, meaning they’ve learned the patterns of human language and dialogue. Given large volumes of text, it can also learn context and how words and sentences relate to each other. Using this training, we can then ask the model to generate entirely brand-new text that it has never seen before.

ChatGPT's underlying tech requires large amounts of (limited) computing power.

So each time you ask ChatGPT something, the underlying model leans on its training to predict the next word or token in its response. The model can sequence these probability calculations to form entire sentences and paragraphs of text.

Each token prediction requires some amount of computational power, just like how our brains can sometimes pause to make decisions. The only difference is that AI models running on powerful servers can typically predict hundreds of tokens every second.

As for what makes ChatGPT so slow, it’s simply a matter of excessive demand for the limited amount of computational power available. The language model you pick has an impact too — more advanced models are generally slower. While OpenAI hasn’t released exact numbers, it’s safe to assume that GPT-4 Turbo will not respond as quickly as the standard GPT-3.5 model.

How to improve ChatGPT’s response speed

With the explanation of how ChatGPT’s responses work out of the way, you might be wondering if there’s a way to speed up its responses. Luckily, there are a few things you can try to improve the situation.

1. Try a different browser, connection, and device

Before assigning the blame squarely on ChatGPT, we should try and rule out any potential reasons for the slowdown on our end. A misconfigured browser or internet connection could just as easily be the reason behind slow ChatGPT responses, so it’s worth starting there.

Before proceeding, we’d recommend clearing your browser’s saved cookies and cache files. To do this, head into your browser’s settings page and look for a reset or clear browsing data button. In Chrome, for example, it’s under Settings > Reset > Restore settings to their original defaults > Reset settings. After resetting your browser, you’ll have to log into your ChatGPT account again.

2. Is ChatGPT slow today? Check OpenAI’s status page

OpenAI maintains an official status page that can tell you if ChatGPT is not working or experiencing slowdowns at the moment. It’s the quickest way to know whether the service is affected by a major outage or has difficulty keeping up with increased user demand.

If the status page indicates an issue with ChatGPT, there’s unfortunately nothing you can do to fix it. Most issues are resolved within a few hours, so you may not have to wait very long.

3. Check for an active VPN connection

While a VPN on its own doesn’t necessarily translate to slower ChatGPT responses, corporate or public ones may affect the chatbot in subtle ways. Corporate VPNs, in particular, may block or interfere with the connection to ChatGPT’s servers.

Likewise, if you use a popular VPN service and connect to a busy server, ChatGPT’s servers may detect a flood of requests from a single IP address. This could trigger anti-spam measures or rate limiting, which throttles the speed at which you can send and receive messages.

The best course of action would be to try using the chatbot without a VPN connection if you currently have one enabled. We already know that ChatGPT saves your data at the account level, so there’s no privacy benefit to using a VPN here.

4. Upgrade to ChatGPT Plus

If none of the previous solutions worked for you, it may be because you tend to use ChatGPT when it’s at its busiest. And if you use the chatbot for free, you’ll be lower on the priority list compared to a paying customer. If response speed truly matters to you, a ChatGPT Plus subscription might be your last resort, although you should consider reading the next section first.

A ChatGPT Plus subscription will set you back $20 monthly but it does offer faster responses. You also get priority access to the chatbot during periods of heavy demand, which should help with any slowdowns you may face.

5. Use an alternative chatbot with faster response times

While ChatGPT was once the only AI language tool on the market, that’s no longer the case. Take Microsoft Copilot, for example. Even though it relies on the same GPT family of language models, it may have a speed advantage depending on ChatGPT’s server load. But in my experience, Google’s Gemini typically delivers faster responses than either GPT-based chatbot.

Likewise, a handful of other generative AI-based tools like Perplexity offer faster responses than ChatGPT. This is likely because conventional chatbots need to remember previous messages for context, which can increase the complexity of token predictions. Smaller language models will also deliver faster responses but at the expense of response quality.

Although imperfect, generative AI tools like ChatGPT and Google’s Gemini are improving faster than many of us can keep up. However, this progress stands to threaten some of the most skilled jobs out there, including many tech industry-adjacent roles. Some would argue this transition has already kicked in, given the persistent rounds of layoffs that have resonated throughout 2023 and 2024. So on that somber note, let’s take a clear-eyed look at the specific tech jobs most likely to be disrupted by AI, and what skills will be essential in this evolving landscape.

Will AI replace tech jobs and which ones are at risk?

Contrary to popular belief, artificial intelligence isn’t going to replace all of us or our jobs overnight. History has proven that automation tends to create new opportunities rather than causing mass unemployment. More importantly, though, the AI of today often requires human intervention to correct obvious mistakes. All of this suggests that generative AI is more likely to augment existing jobs than replace them altogether.

The world of generative AI has moved quickly over the past year, but most of the hype has centered around chatbots and AI image generators. And while ChatGPT and Gemini serve creatives, they don’t do much in the way of improving team coordination or productivity. Enter Jasper, an AI platform that makes generative AI simpler to use for creative professionals in the marketing industry.

Jasper hopes to streamline the creation and management of marketing campaigns, emails, blog posts, and even social media accounts. It may seem similar to existing AI tools like ChatGPT on the surface, but Jasper does offer a handful of features you won’t find elsewhere.

What is Jasper AI and how does it work?

Jasper is an AI software suite that assists with common productivity tasks such as creating marketing content and summarizing meeting notes. If you’ve ever used a chatbot like ChatGPT, you already know what to expect from the conversational side of Jasper. You can ask questions, generate captions for social media posts, or summarize long pieces of text.

However, Jasper also offers much more than a simple chat interface. It can also host company-wide resources like style guides and offer a single dashboard from where you can create various marketing assets. Anyone in the company can access these tools to create content that fits within the brand’s voice.

Jasper makes it easier for large marketing teams to generate content for various platforms.

For example, you can specify a communication tone relevant to your brand and specific terms like product names and company-specific terms. Jasper will then use this information to create content that’s the perfect mix of humorous, informative, and professional. On higher-end plans, Jasper can also monitor the performance of your blog or social media accounts and offer suggestions on improving future content.

Jasper can generate both text and images, allowing you to create social media posts without using two different services. It also offers a host of templates across multiple categories, including blog posts, listicles, video scripts, Twitter threads, Google Ads headlines, and entire marketing campaigns. Selecting any one of these options will yield additional customization options too. For example, you can change the length or specify the text’s tone with a couple of clicks.

Under the hood, Jasper uses a proprietary AI large language model. That said, the company also relies on the GPT family of language models, including GPT-4.

Who is Jasper AI for?

Jasper AI caters to businesses and creative professionals, particularly in the marketing, media, and similar industries. It’s similar to AI productivity suites like Microsoft 365 Copilot and Gemini for Workspace in that it tries to automate the time-consuming process of content creation, reviewing, and editing. Individual users won’t get as much value out of the platform, but Jasper does try to cater to them as well.

At its core then, Jasper is a writing assistant that promises to deliver content that aligns with a company’s brand and image. This is an area where regular chatbots like ChatGPT struggle since they don’t have much of a memory between sessions. And even if you use advanced features like OpenAI’s custom GPTs, they won’t integrate as well as Jasper with your company’s workflow.

Jasper helps create content that fits in line with your brand's identity and image, without typing lengthy prompts every time.

For example, you can upload a single marketing brief and have Jasper generate multiple forms of content based on it. With most other AI platforms, you’d have to manually request each asset and even provide instructions for the content to align with your brand’s identity. Jasper automates this whole process.

Even if you don’t need full automation, Jasper offers integrations for Google Docs, Chrome, Microsoft Word, and other productivity apps. This will allow you to access Jasper’s chatbot in a sidebar, where you can ask it to revise an existing document or generate additional paragraphs as you write.

Jasper AI vs ChatGPT: How do they compare?

While Jasper and ChatGPT are both examples of generative AI, they aren’t competing services. This is because Jasper’s main value comes from its dashboard which allows you to generate text, monitor content performance, and more. Meanwhile, ChatGPT serves as a chatbot that can answer factual questions and generate content.

With ChatGPT, every new chat is like a blank canvas — it doesn’t offer much in the way of copywriting features or templates. It also cannot be taught much about the company’s brand or preferred writing style. This makes it an excellent general-purpose AI tool but you’ll need to master the art of prompt engineering to extract the best results from it.

Jasper offers a dashboard with templates and customization options, while ChatGPT offers a simpler text-based interface.

Jasper tries to serve creative professionals more directly, offering a dashboard with sliders and dropdown menus that allow you to customize your content without instructing the AI directly. So all in all, neither ChatGPT nor Jasper is better because they cater to different needs and don’t always overlap in terms of their features. For example, ChatGPT is a much more valuable tool for programmers since Jasper doesn’t offer any coding-specific tools.

Jasper AI plans and pricing

Credit: Jasper AI

Since Jasper caters mainly to businesses and professionals, it doesn’t offer a free tier.
Jasper offers three pricing tiers, namely Creator, Pro, and Business. The price goes up between tiers but you also get more features, especially in the Business tier that adds collaborative workflows and team management tools.

	Creator	Pro	Business
Monthly price	$39 per user	$59 per user	Per-case basis
Intended user	Individuals	Small businesses	Large companies, enterprises
Restrictions	Single user only, no art generation	Up to five users, three brand voices, 10 knowledge assets	None, unlimited use

Jasper AI trial: Here’s how to use it for free!

Many AI tools can be used for free, so you might be disappointed to hear that you’ll have to pay a monthly fee for Jasper. However, this isn’t actually out of the ordinary; rival productivity services like Microsoft 365 Copilot and Gemini for Workspace will cost you monthly as well.

Luckily, Jasper offers a one-month trial for its Creator and Pro plans that allows you to use all of the platform’s AI features for free. You’ll need a credit card to sign up but that’s about the only downside.

---

FAQs