With Google evolving from a search engine into an answer engine, more users than ever before are finding what they need without clicking through to a website—something that used to be a digital marketer’s worst nightmare.

But here’s the truth: zero-click doesn’t mean zero value.

When you play it smart, you can use zero-click to your advantage, and we’re here to tell you how!

As a digital marketing agency obsessed with data and performance, we at Digital Strike know how much this shift impacts your SEO strategy, traffic, and overall marketing efforts. So let’s dive into what these types of searches are, the pros and cons, how to optimize for them, and how AI Overviews are changing the game.

What Are Zero-Click Searches?

A zero-click search happens when a user enters a search query and gets the answer directly in the search engine results page (SERP); therefore, they do not need to click into any websites in particular.

They get their answers through:

• Featured snippets
• Knowledge panels
• People Also Ask (PAA) boxes
• AI Overviews
• Local packs

The SERP features above offer instant answers to questions ranging from “What’s the weather today?” to “Best Italian restaurants near me” and more. People no longer have to click on article after article to get the information they need. In fact, according to Semrush data, 25.6% of desktop searches and 17.3% of mobile searches result in zero clicks. All of that is potential traffic getting absorbed right on the SERP.

The Pros and Cons of Zero-Click Searches

Let’s be real. On the surface, zero-click results sound like a nightmare. You work hard on your organic search content, invest in structured data and search engine optimization (SEO), only to have Google display your content without sending the user to your site.

But it’s not all bad. In fact, it can be a strategic advantage when handled correctly.

Pros:

• Increased brand visibility: Appearing in a featured snippet or AI Overview positions your brand as a trusted resource.
• Authority building: Being the “quick answer” that Google chooses boosts your reputation.
• Voice search benefits: Many zero-click results power answers for voice assistants and mobile searches.
• More impressions for competitive keywords: Even if they don’t click, users are seeing your brand.
• Increased CTR on branded queries: Familiarity leads to higher click-through rates when searchers do want more info.

Cons:

• Fewer site visits: Less search traffic from common queries.
• Lower conversion rate opportunities: If they don’t visit, they can’t convert.
• Limited context: Concise answers in the SERP may lack the nuance needed to truly inform.
• More control to Google: They decide what gets surfaced and how.

Bottom line? Optimizing for zero-click doesn’t replace SEO. It is SEO, just redefined.

Why You Still Want to Optimize for Zero-Click Searches

You may be wondering: if people aren’t clicking, why even bother?

Simple. Being present is still powerful, and here’s how to do that…

You want to:

• Capture attention: You still need to try to show up in AI Overviews, People Also Ask, and related questions.
• Build authority: Having high-quality faq sections and schema markup help Google trust your site.
• Feed the funnel: Even if users don’t click now, they remember your brand when it’s time to buy.
• Dominate for local: Showing up in the local pack or Google Business Profile drives action for local businesses.
• Shape the narrative: The info shown in zero-click results often comes from content you control.

Optimizing your digital marketing strategy for zero-click results means aligning with how people consume info today, thereby, making a better user experience.

Where AI Overviews Fit In

With the rise of AI Overviews (formerly known as Search Generative Experience or SGE), we’re seeing a new kind of search engine behavior emerge.

These AI-powered direct answers pull from multiple sources and give users a synthesized answer to complex queries. And they often appear before both paid ads and organic listings.

That means:

• You can appear in an AI Overview even if you’re not the #1 organic result
• Not every AI Overview source is a high-ranking site in traditional SEO rankings
• There are more opportunities to be cited in search engine results if your content is in-depth, structured, and context-rich

In other words, AI Overviews can democratize visibility. They’re not just rewarding high backlinks or domain authority—they’re rewarding helpful content.

Our advice? Treat AI Overviews like a new search frontier.

How to Optimize for Zero-Click & AI-Powered SERPs: Steps to Take

Ready to rethink your search strategy? Here’s how to get started:

Step 1. Invest in Featured Snippets

Craft content that answers user queries clearly and directly. Use headings, bullet points, and concise definitions. Think: “What is local SEO?” or “How does Google Ads work?”

Step 2. Add Structured Data & Schema Markup

Help search engines understand your content using FAQ schema, How-To markup, and more. This unlocks search features like knowledge panels, carousels, and instant answers.

Step 3. Answer People Also Ask Questions

Include common follow-up questions in your content to increase chances of appearing in related questions.

Step 4. Use Clear, Value-Driven Formatting

Break content into skimmable chunks. Use landing page optimization tools and analyze heatmaps to make sure your layout enhances readability.

Step 5. Target Long-Tail Keywords

Users ask specific questions. Use keyword research tools to find detailed, low-competition search terms.

Step 6. Optimize for Local Pack and Google Business Profile

For local search, make sure your Google Business Profile is accurate, includes your phone number, and is tied to a strong local SEO content hub.

Step 7. Track the Right Metrics

Instead of just clicks, look at brand visibility, impressions, CTR, and search appearances in tools like Google Search Console and Google Analytics.

Step 8. Don’t Forget Content Marketing

Blogs, podcasts, and videos still matter. They give search engines rich content to pull from and let you tell a bigger story.

Should You Worry About ChatGPT and Other AI Tools?

AI tools like ChatGPT can answer user queries without touching Google at all. That’s a whole other challenge.

But here’s the good news: these tools often pull from the same public sources. If you’re creating high-quality, well-structured, expert-driven content, your info still has a shot at showing up.

Even better? Users still turn to Google when they want validation, pricing, or to take action.

Zero Click Doesn’t Mean Zero Opportunity

It’s time to stop treating zero-click searches like the enemy. If your brand is showing up in AI Overviews, featured snippets, or knowledge panels, you’re doing something right.

You’re building authority. You’re shaping the conversation. And ultimately, you’re staying ahead in a search engine optimization world that’s evolving fast.

Want to optimize for a zero-click world while still driving qualified organic traffic? That’s what we do.

Let’s build a smarter SEO and content strategy that works with the future of search—not against it.

What is Answer Engine Optimization?

Answer engine optimization (AEO) is an alternative way to optimize content. It addresses specific user questions in a way that is easily digestible and searchable through AI tools. It can complement traditional SEO strategies to help content gain visibility in different answer engines, from Perplexity results to Alexa voice search results.

Why is Answer Engine Optimization Important for Modern Search Strategies?

User behavior is changing. Voice searches are increasing thanks to the popularity of AI chatbots and voice assistants like Alexa. Voice searches and searches in AI tools like ChatGPT are much more conversational and question-driven compared to traditional searches in Google, Bing, and other search engines. Content that answers specific questions—using the same language that searchers are using—can boost visibility for web pages featuring this type of content.

User behavior isn’t all that’s changing in the search sphere; artificial intelligence is making its way into traditional search as well. AI-generated featured snippets, for example, now top the results for many search queries in popular search platforms. Content that answers search queries can be featured in these snippets, boosting visibility.

The best way to adapt to these changes? Well-developed answer engine optimization strategies.

Top 5 AEO Strategies

1. Create FAQs

Create FAQ pages or sections that provide concise answers to common questions.

2. Use Structured Data

Structured data, especially schema markup, helps search algorithms contextualize your web pages, meaning search tools are more likely to find your content and present it to users for relevant search queries.

3. Utilize Headings

Like structured data, HTML headings, like <h1>, <h2>, and <h3> tags, help algorithms find, contextualize, and rank content.

4. Implement SEO Strategies

The best SEO strategies often overlap with the best AEO strategies. That means the following actions can all be part of an overall AEO strategy:

• High-quality content marketing
• Backlink acquisition
• Consistent social media marketing
• In-depth keyword research

5. Define User Intent

Traditional search engines as well as AI-driven tools like ChatGPT have a core purpose: providing the right experience to users. That means a core part of your AEO strategies needs to be understanding and defining search intent (what users want out of a search, like making a purchase or finding information) so that you can craft a content strategy that provides the right experience for your target audience.

FAQs

How is AEO Different From Traditional SEO?

SEO is all about optimizing content for traditional search. AEO is about crafting content that offers direct answers to hyper-specific user queries in AI-powered search engines, like Perplexity, and other AI search tools and answer engines, like Siri, Alexa, and Google Assistant.

How is AEO Different from GEO?

GEO stands for generative engine optimization. AEO means optimizing content to show up as easily digestible answers in AI-driven results; AEO content is often written in Q&A or FAQ formats. GEO centers on content optimization so sites appear in generative AI search tools, like Google AI Overviews.

AEO and GEO overlap with each other as well as with SEO.

How Can I Optimize My Content for Answer Engines like Google Assistant?

Ways to optimize content for answer engines include:

• Writing concise answers to specific questions people ask
• Using conversational language, or language that mirrors search queries
• Conducting thorough keyword research to find the right queries
• Crafting content that matches user intent
• Using structured data and headings to contextualize content

How Does Answer Engine Optimization Fit Into SEO?

As search evolves, so too must your SEO strategies. AEO strategies that prioritize answering questions concisely and matching intent can fold into overall SEO strategies that will help your site boost visibility across traditional search, voice search, featured snippets, and more.

Let’s discuss.

What is Microsoft Bing AI?

Jesus may take the wheel, but artificial intelligence is taking over the Microsoft experience. The company recently unveiled its new Bing search engine and Microsoft Edge browser, both powered by sophisticated generative AI technology. Specifically, Microsoft’s new chatbot and search are powered by OpenAI’s GPT-4. Unlike previous iterations that pulled results from the web alone, the new Bing bot can directly answer queries in addition to offering search results, creating a hyper-personalized search experience.

Just what can Microsoft’s new AI do?

• Generate ideas and text based on specific prompts.
• Create hyper-personalized search experiences.
• Offer unique, human-sounding chat features.

Squaring Up the AI-Powered Competition

• OpenAI’s ChatGPT – The free version of this AI-powered chatbot is an advanced version of GPT-3.5, an earlier large language model, that’s made headlines for its impressive list of capabilities, including generating human-like text quickly and easily. The paid version of ChatGPT is powered by GPT-4.
• Google’s Bard – Google hopes its recently released Bard, powered by LaMDA, will outcompete ChatGPT and other AI chatbots thanks to its unique algorithm that relies heavily on the vast amounts of data that Google owns. Unfortunately for Google, however, Bard currently appears to struggle to match the sophistication of both Bing and OpenAI’s models.
• Jasper – This subscription-based AI service is all about generating ideas, search engine-optimized blog posts, chat services, visual art, and more.

Is Microsoft’s Bing AI better than OpenAI’s ChatGPT?

The question remains: is Bing AI better than ChatGPT? Well, it depends on what sort of features you’re comparing.

Who Provides the Better Search Experience?

When it comes to hyper-personalized search results, Bing is tough to beat. Its AI-powered search engine is ready to deliver all the information users want, complete with a personal touch to make the whole experience feel unique. It also helps that Bing offers citations and links to further reading in its results, rather than simply making up sources (looking at you, ChatGPT). Also, to be clear: ChatGPT is strictly a chatbot; it is not a search platform.

Who Provides the Better Chat Experience?

What do you want from a chatbot? Do you want wordier responses that leave further research up to you? Or do you want more direct responses that offer additional sources of information?

If it’s the former, ChatGPT is for you. If it’s the latter, Bing AI is your new boo.

ChatGPT may not be perfect, but it does typically offer more robust (or at least more verbose) answers. Bing AI, by contrast, tends to be more direct with its answers.

See how each bot responded to the query “How do I pick the best dog breed for me? Is it better to adopt or buy?”

ChatGPT is as chatty as always when responding to this prompt. What it excels at, however, is organizing information in a way that’s easy to read and digest (e.g., creating a numbered list).

Now take a look at Bing.

Since Bing’s bot runs off GPT-4, it should be no surprise that there are some striking similarities between Bing’s response and ChatGPT’s. That said, Bing does tend to be more straight to the point in answering all aspects of the original query—pros, cons, and all—while also offering citations and links to further information.

Who Provides the Better Content Generation Services?

If it’s accuracy you’re after, skip the AI.

ChatGPT offers free text generation services on an easy-to-use webpage based on simple prompts; while the results may seem impressive at first, it’s important to remember that services like Bing AI and ChatGPT learn based on content already available on the web—and there’s a lot of misinformation on the web. ChatGPT already has well-documented issues with misinformation, including offering fictitious citations. To be fair to OpenAI’s darling, however, Microsoft also admits that its AI technology currently struggles with misinformation, too.

If you’re after quick content for publication on blogs that don’t rely heavily on documentation, however, AI tools could be beneficial for generating content ideas, alt text, and article outlines. In this regard, ChatGPT would likely be better for simply getting a basic outline to help you get started. If you want a little extra help with research and brainstorming, Bing would likely better suit your purposes.

Who Tries to Break Up Marriages?

Wait, what? Let’s take a step back.

Bing AI tried to convince a man to leave his wife.

Yes. Really.

Trust us, though; the experience is a little less creepy than it seems at first.

The incident in question: Kevin Roose from The New York Times interviewed Bing AI, and the conversation ended bizarrely. Specifically, the chatbot called itself Sydney and professed its love for Roose, encouraging the columnist to leave his wife.

Freaked out yet? We don’t blame you if you are, but we will tell you that you shouldn’t be that concerned. Microsoft responded to the incident, reminding people that its AI tech bases its responses based on what it can find on the web.

Think of it this way: how many rom-coms have you seen where Character A convinces Character B to leave their spouse? Given the prevalence of this plotline in many stories, it’s no surprise that Bing’s chatbot took cues from this rom-com phenomenon and generated similar responses in its conversation with Roose. In other words, this conversation isn’t indicative of AI becoming self-aware, but simply parroting common tropes from rom-coms and the like.

Again, don’t freak out; the plot of Her is still far from reality.

ChatGPT, by contrast, is much more stiff when it comes to making connections with human beings.

To answer the original question: if you’re looking for an AI-powered bot that won’t try to come in between yourself and your spouse, ChatGPT may be the way to go.

Our Verdict

Bing AI. Bing chat. Microsoft AI. Bing chatbot. No matter what you call Microsoft’s Bing AI chatbot, what remains the same is its impressive functionality that can compete with and even exceed that of its competitors—including ChatGPT. Bing’s chatbot has an edge over ChatGPT when it comes to citing sources or offering links to further information (although it isn’t always 100% accurate), so it currently comes out ahead in regards to search functionality.

Not sure how to fold AI-powered tech into your digital marketing plans? Not a problem. Give us a buzz. We here at Digital Strike – Targeted Marketing stay on top of industry trends and already use AI to augment our services, so we can offer you unique insights on how artificial intelligence can boost your outcomes and deliverables.

What AI Is (Not)

Before we discuss what AI is, let’s first cover what it is not.

It’s not the Steven Spielberg movie. It’s also not a front for Skynet.

Artificial intelligence is simply a type of machine learning; that is, it’s machine-based decision-making abilities, pattern-recognition capabilities, and learning aptitude as opposed to the organic problem-solving skills we and non-human animals possess.

Despite what the news will have you believe, AI technology cannot replace most jobs in the digital marketing industry in its current state. Although, it can assist humans in this industry to optimize performance, profitability, and customer experiences.

Let’s dig into these strategies a little more.

AI Marketing Strategies 101

The ins, the outs, and the in-betweens of AI marketing.

5 E-Commerce Examples

See how other companies are using AI to get inspired with your own digital marketing strategies.

1. Starbucks Product Recommendations

This coffee shop giant makes smart use of AI technology to encourage customers to buy products and join rewards programs—and it works!

The company’s AI/machine-learning program is appropriately known as Deep Brew. Among other functions, it helps Starbucks give their mobile app users and loyalty program members personalized product recommendations using a combination of weather forecasting software and customer data (such as previous Starbucks purchases and location data). For example, Starbucks may give a sweet tooth-having user a hot, sugary drink recommendation on a cold overcast day, and a light fruity drink recommendation during a sweltering heat wave.

This personalization is far more effective than standard one-size-fits-all advertisements of years past. Deep Brew launched in 2019, and, in that same year, “Starbucks reported U.S. same-store sales growth of 6%.” That’s a latte extra sales!

2. Apple and Amazon Virtual Assistants

Currently available virtual assistants like Apple’s Siri and Amazon’s Alexa aren’t quite on par with Tony Stark’s JARVIS. They can, however, use AI and voice recognition technology to provide convenient, hands-free tools like voice searches. These virtual assistants are able to work so well with voice input thanks to the use of natural language processing technology, or technology that allows AI to analyze and interpret human speech and synthesize this information to interact with real people in real time in a way that feels natural.

But virtual assistants do more than simply analyze voice data; they also keep track of plenty of other kinds of useful user information, such as search history, location data, and product purchases. By keeping a database of user information, Alexa and Siri can offer personalized recommendations, such as suggestions on new restaurants to try nearby.

Hey, Siri: how do you like them apples?

3. Netflix Viewing Recommendations and Content Curation

It might be Netflix and chill for you and bae, but, behind the scenes, this streaming platform is anything but relaxed.

Netflix’s algorithm works overtime to display content early in your feed that it thinks you will like. It bases these recommendations on what viewers similar to you rate highly or what content you have watched in the past. Based on viewership numbers, AI also helps Netflix executives predict what types of shows will be successful in the future, helping the streaming platform decide which shows to greenlight and which to cancel.

The goal of these algorithms is to keep people watching more content for longer periods of time—and renewing their subscriptions year after year. These algorithms are effective, too; some estimate that as much as 75% of what users on the platform watch is discovered via auto-generated recommendations. Think about that the next time you log into your (or your friend’s) account.

4. Amazon Product Promotions

It might seem like Amazon can read your mind, but the truth is far less glamorous: all those spot-on product recommendations are curated by algorithms sifting through massive amounts of consumer data.

You see, as the largest retailer on the planet, Amazon knows a thing or two about targeted AI marketing. Their most profitable use of AI marketing is using consumer data to generate product recommendations customized to each user (including you!).

What sort of data, you ask? Data that makes Amazon’s product-recommendation algorithm so efficient includes:

• Personal purchase history
• Other people’s purchase history (including what items they have bought together)
• Time of the year
• Location/geotargeting information
• Products users have viewed before/put on a wish list
• Customer reviews

Using this data, algorithms can make and then push these recommendations to users both on the site (Your Recommendations) and via email campaigns.

The result?

Big bucks for Bezos.

These recommendations generate up to 35% of purchases on the site, providing Amazon with an incredible return on investment (ROI) through AI marketing.

5. Snapchat Filters

Remember in third-grade math when your teacher said you can’t use a calculator on your test because you won’t have a calculator on you at all times in the real world? Well, now we do have a calculator on our hands at all times, and you can use that same device to turn yourself into a dog that vomits rainbows. Checkmate, third-grade math teacher.

Snapchat is more than just fun filters, though. It’s also an incredible advertising platform for big-name brands.

Many people might not automatically think of Snapchat when they think of AI, but this popular app has long capitalized on augmented reality (AR) and AI tech to offer users unique and interactive experiences. Brands have taken notice of this popularity and used this tech to generate personalized experiences for users in the hopes of converting them to future customers.

Take, for example, L’Oréal USA. This makeup brand partnered with Snapchat in 2016, becoming the first beauty brand to create a sponsored lens on the platform. The resulting filters allowed users to effectively test new products by superimposing makeup, skincare, and hair style lenses onto users’ faces through a combination of AR and AI tech. The result was a fun, customized experience for users that simultaneously advertised L’Oréal USA products like mascara, lipstick, and hair dye.

The results weren’t just fun for users, either; they were ridiculously profitable for L’Oréal USA, too. Some of its products saw a massive boost in sales, such as a 51% increase in sales of one of its clay masks. It’s therefore no wonder that the beauty company has run other Snapchat campaigns since its first in 2016.

3 AI Marketing Strategies for Your Business

Check out the following tips, tricks, and tools for implementing your own AI-driven digital marketing strategies.

1. Use Chatbots

Rise of the Machines might have been more accurate if it focused on the recent surge in chatbots.

Using natural language processing in ways similar to Siri, chatbots can help users instantly (or nearly instantly) with a wide range of concerns and queries around the clock. That’s why it should be no surprise that chatbots are growing in popularity among not just businesses, but also consumers. According to one ServiceBell consumer survey, around 60% of participants reported that they “like to send and receive messages using a chat service rather than deal with an agent for help with an issue.”

In addition to potentially offering an elevated customer experience, chatbots can also save businesses money and time when dealing with customer inquiries. Additionally, these bots can provide businesses with invaluable real-time consumer data that companies can use to further improve services and products for consumers.

The best part about chatbot services today is that they can fit just about any budget. So, if you have a B2C or massive B2B company that emphasizes sales or customer service, utilizing these services could help your business improve not only user experiences, but also long-term savings.

2. Try Digital Advertising AI Tools

Finding a target audience, building a campaign, testing out various layouts, adjusting bids… There’s no way to sugarcoat it—running digital ad campaigns is hard. Wouldn’t life be easier if you had some help here?

Thanks to advancement in AI tech, you may now be able to do just that. Tools like Albert.ai can assist human advertisers with their social, paid search, and other online ad campaigns. It works like this: humans run the show and generate creatives, while Albert continuously works across channels to optimize bidding, demographic segmentation, and more for these campaigns. The result? A partnership of human and AI tools that could be a predictor of where the digital advertising industry as a whole is headed.

3. Discover AI Email Marketing Tools

If you’ve got (e)mail (campaigns), AI tools may strengthen your existing email marketing strategies. Long-reigning email automation champion Mailchimp is just one of many companies folding AI tech into their product offerings, using machine-learning technology to optimize subject lines, design layout, and more.

Like AI ad tools, current AI email marketing tools don’t replace human workers so much as they partner up with us. Louis, I think this is the beginning of a beautiful friendship.

The Future of AI Marketing – 6 Predictions

As we’ve said time and again, we aren’t living in a sci-fi movie. That means no time machine, which means we cannot know for certain what the future of digital marketing holds. Although, many experts (including us here at Digital Strike – Targeted Marketing) believe that the use of AI in this industry will only increase.

Here’s what we believe that future will look like. Just don’t quote us (unless we’re right).

1. Hyper-Personalized Experiences Remain the Norm

Hyper-personalized experiences aren’t becoming the norm; they already are. It’s why you see oddly specific ad after oddly specific ad while scrolling through your phone.

We expect this situation to remain the same for the foreseeable future.

After all, when hyper-personalized experiences mean hyper-effective marketing campaigns, how could we expect any different? Starbucks and Netflix, for instance, show just how lucrative offering personalized user experiences can be.

2. More Companies Will Use Augmented Reality

AR allows companies to elevate their hyper-targeted ads and experiences (and sales), as seen with L’Oréal USA’s Snapchat campaigns. With more and more online users craving unique and helpful experiences, the use of data and AI tech to create such experiences can only be expected to continue. By some estimates, the AR advertising market is expected to be worth $3.5 billion by the end of 2022. Who wouldn’t want a piece of that pie?

3. Improvements in Customer Relationship Management (CRM) Software

CRM software is standard fare in the B2C world, and we expect that most of this software will continue to or begin implementing machine-learning tech to improve performance and efficiency. Since AI can sift through and analyze big data sets far more quickly and effectively than humans can, it will allow CRM products to offer real-time customer insights and swift optimization suggestions. That’s why it’s no surprise that IDC estimated $1.1 trillion (yes, trillion) in revenue from “AI associated with CRM activities” at the end of 2021. With money like that on the line, there is plenty of incentive for CRM to use AI more and more in the near future.

Just don’t expect CRM products to replace current human employees. Like other AI tools currently available, AI-powered CRM software can only complement human input, not replace it entirely. Until massive leaps in AI tech occur, we see no reason to believe that AI-powered CRM software will replace us meat bags any time soon.

4. Increased Use of Content Marketing Software

Content creation is absolutely critical to best SEO practices. Without content, there is no Internet! It therefore only makes sense that people have tried to marry AI and content generation. The results are promising, with current AI content generation software showing an ability to mimic certain writing styles.

That said, like other AI tools on the market, current content creation software cannot totally replace human workers (and the author isn’t just saying this because she wants to keep her job). For starters, while software can mimic writing styles, they cannot yet totally create their own unique style. Furthermore, this software still requires human input to deliver polished content that other humans will enjoy reading.

5. Further Legislation of AI Art

Lensa, DALL-E, and other AI art-generating software have made waves in the art world, and for good reason: AI makes some darn good visual pieces… and that leads to the existential question of what exactly makes art “good” and how art “should” be created.

One AI-generated art piece (“Théâtre D’opéra Spatial”), for example, placed first in its category in the 2022 Colorado State Fair. This win caused major upset among human artists who claimed that this art piece violated the competition’s rules. But the AI art controversy extends past one competition. Many visual artists are upset that AI software developers are using their artwork without their permission to help AI learn how to make new art and mimic certain artists’ styles. Still others are worried that AI artists will completely replace human content creators, giving a whole new meaning to the term “starving artist.”

Since AI art is still so new, AI artwork is largely unregulated, although many governments—including the US—currently maintain that AI artwork cannot be copyrighted. We expect that stricter government regulation will occur in the future, specifically in regards to how software developers use human-generated artwork to plug into their machine-learning tools (and if this use constitutes copyright violations).

6. AI Will Replace Jobs (But Create Many More)

The largest concern with AI (outside of triggering a Terminator-like doomsday event) is that it will displace human workers, completely erasing jobs for real people in certain sectors of the economy. According to the World Economic Forum’s “The Future of Jobs Report 2020,” that fear isn’t unfounded—AI is expected to replace humans in jobs by 2025. 85 million humans, in fact.

Okay, that’s the bad news.

The good news?

This report also estimates that AI will generate 97 million jobs in that same period. That’s a net gain of 12 million jobs!

While the future of this industry is clearly changing (and is bound to come with growing pains), we want to assure our readers that the future isn’t as bleak as some people make it out to be. Human workers are still needed, because AI as it currently stands cannot authenticate genuine human connections and insight.

And when you need real human insight into your digital marketing strategies, you know who to call.