The AI trends tech race is on, and tech giants are spearheading its advancement in the marketing and education sectors.
While the rest of the world tries to keep pace with this new tech rookie, the revolution is rapidly evolving!
The AI worldwide market is forecast to reach $190.61 billion by 2025, up from a mere $21.46 billion in 2018!
With the widespread popularity of trends and powerful artificial intelligence tools, the anticipation of how they’ll shape and transform the tech trajectory is also increasing.
Here are some AI trends in marketing and education forecasts in 2025 with real-time examples.
AI in marketing and sales
Digital and traditional marketing channels can harness AI trends in marketing to streamline processes and tasks. Statista predicts that AI use in marketing revenue will surpass $107.5 billion by 2028!
More marketers are adopting and leveraging software programs and tools to maximize their marketing outreach, and the numbers are rising rapidly. Let’s discuss some AI marketing trends for the year.
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1. Use of voice-based assistants
Voice assistants, or digital assistants, use computer programs that execute voice commands on devices such as desktops, tablets, TVs, and smartphones. They include Apple’s Siri, Google Assistant, Amazon Alexa, and Microsoft’s Cortana.
As AI programs become more competent, their speech recognition algorithms become more powerful and refined.
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Marketing companies can leverage AI to execute shopping commands seamlessly, enhancing buying experiences.
Marketers can create customized voice-based search experiences and content, enhancing sales and maximizing revenue.
They can craft elaborate personalized keyword content that a target customer may ask a voice-based shopping assistant.
For example, cold-pressed extra virgin Mediterranean olive oil is more personalized than Extra virgin olive oil.
The future of AI in marketing: How AI is changing the game
By the end of the decade, AI marketing automation tools will be intuitive enough to execute at least 25% of all purchasing decisions and transactions on behalf of humans.
2. AI-driven online search
An AI-driven online search may negatively impact search engine results pages (SERPs), potentially hindering and decreasing organic result visibility and traffic.
AI-generated results, summaries, and snippets appear at the top of a results page. Sometimes, a user may get an answer to their query without clicking on any site, resulting in a zero-click search.
Why AI might wreck your personal touch in marketing
With AI-driven online search taking a large portion of search engine results pages, zero-click searches are soaring.
A Semrush Zero-click study 2022 report on user behavior action patterns on Google search highlights that 25.6% of desktop and 17.6% of mobile searches were zero-click.
This may also imply that the meta descriptions didn’t feature the user’s query, making them leave or refine their keyword search.
Is AI driving customers away instead of bringing them in?
AI summaries and search-generated results may alert users to conduct further research or fact-check results. Yet, some users rarely countercheck the results.
Search engines may seek to reevaluate and tighten their grip on AI-generated site content. This aims to increase and maintain quality control.
Consequently, the demand for AI detection tools increases, too.
3. Ad optimization and targeting
Ad targeting entails directing advertisements or promotional content to online users with distinct traits.
Targeting is based on diverse datasets such as browsing history, interests, age, gender, location, and website interactions.
How AI can help you target customers better
With AI advancements, marketers can augment and offer personalized promotional ads to customers.
AI’s capability to scan, tweak, and analyze vast sets of audience data within shorter timeframes may help advertisers tailor high-quality ads to target customers with precision.
This may help marketers increase and maximize ROI. Also, customers’ expectations are high as they expect marketers to offer better, fully personalized experiences, necessitating top-tier ad savviness.
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4. Marketing personalization, segmentation, and automation
With predictive analytics, marketers can gather insights on user preferences, interactions, pain points, and behavior to develop and deliver customer-centric experiences.
For example, if you’ve been watching K-dramas on Netflix, it may offer similar recommendations based on your preferences.
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Small marketing businesses can now also utilize predictive analytics to conduct market research and make decisions to promote conversion rates.
Automating product recommendations and emailing customers based on their preferences may increase sales and revenue.
It can also decrease costs, optimize customer engagement and loyalty, and spread brand awareness.
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Since most AI tools rely on cognitive bias to make decisions, marketers may need regular audits and assessments to diminish prejudice.
5. Powerful chatbots and language tools
Some marketers and creators have adopted AI writing tools to generate brand content. While this is the advent of Large Language Models (LLMs), they may sometimes be prone to errors.
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Tech companies are upscaling chatbot and language tool development and improvement. Soon, they’ll be much more intelligent and powerful and make minimal or no errors.
For example, AI companies may involve human subject-matter experts to train AI models to be more innovative through techniques such as intentional hallucination. They can then correct the results for factuality, which may improve AI models’ reasoning capabilities.
A hallucination occurs when a chatbot or language model presents inaccurate, irrelevant, incorrect, or contradicting information as factual.
How to use AI for better customer engagement
Conversational language tools can help marketers perform simple, repetitive tasks such as interacting with users and acting as intermediaries.
Deploying chatbots may be crucial to optimizing marketing and customer service delivery.
AI trends in education
Forecasters project education to significantly improve by integrating AI tools and software products for learners and tutors. Here are some changes we can expect in the education sector:
1. Automation of repetitive tasks
Since AI tools are primarily data-powered, they perform more repetitive tasks, such as grading assessment tests.
This is quite transformative, and tutors can focus on other tasks as it boosts their overall productivity.
With time, the education sector can also boast advanced tools to perform other administrative tasks, such as grading and assessing written answers.
How can AI help teachers manage their workload?
As AI tools get more intelligent, they can adapt and apprehend the methodologies used in different subjects or tutors and assist them in evaluation.
Education-centric tools can simplify tutor-learner work by recognizing patterns and improving natural language processing.
Educators and learners can focus on improving other learning areas and experiences that require human handling.
Unlike manual evaluation, evaluation tools can also help eliminate inconsistencies and bias and enhance efficiency and accuracy.
2. AI-teacher/tutor collaboration
AI tech can also help tutors streamline other learning processes to offer personalized learning experiences. For instance, it can help new language learners improve their grammar and correct their mistakes.
Educators can use the feedback to promote the learners’ experiences by focusing on areas that require improvement or practice to enhance comprehension.
How does AI personalize learning for each Student?
Natural language processing software can assist self-learners in enhancing their reading and writing skills, suggest areas and topics for improvement, or teach them books, exercises, or aids to use.
By providing positive feedback, individual instructions, and tasks for every learner, tutors can tackle, distinguish, and regroup learners with similar issues to offer in-depth help and guidance while monitoring their progress.
How is AI changing homework assignments?
For example, a foreign language tutor can regroup and differentiate learners with tense issues from those with verb usage issues. They can then schedule follow-up classes for the learners and track their improvement.
3. Personalization of learner-centric approaches and experiences
Most conventional learning approaches are a cut-cross for all learners, often designed with similar objectives and intent, regardless of the individual learners’ pace or comprehension capabilities.
Despite being tailored to suit a significant portion of learners, they may not maximize the full potential of the top and bottom learners.
How can AI help to improve learner test scores?
Integrating AI tools in education to deliver personalized learner-centric approaches can help learners maximize their potential through individual custom-made assessments.
For example, a foreign language tutor can use an AI tutoring tool to create individual tests to assess unique learning capabilities, vocabulary, and grammatical comprehension.
How does AI personalize learning for each student?
Individual assessments can help evaluate learner capabilities by offering unique, personalized feedback while monitoring learner progress.
This can assist tutors in propelling their learners to achieve maximum potential, improving overall learning experiences.
4. Digital curricula and dynamic content creation
While prominent online courses integrate and adopt bots to deliver digital curricula courses to millions of global learners, AI algorithms can revolutionize content and curricula through personalized learning interfaces.
Can AI tools improve student engagement?
AI software programs can interpret user-learning data and behavior through predictive analytics and enhance user-centric experiences. This may foster engagement and overall motivation.
Suggesting content that appeals to learners’ interests and curiosity can inspire them to delve deeper into similar content or niches.
How AI is personalizing learning for kids
For example, suppose you’re interested in the historical facts of ancient civilizations A. Artificial intelligence algorithms can recommend content about ancient civilizations B or C. Engaging learners with stimulating content can be more effective than suggesting unrelated content, like cooking recipes or sports.
5. Virtual learning and global accessibility
Language barriers are still a significant hindrance to education and content access.
Nevertheless, regardless of the language of the teaching, global learners and intellectually curious people may soon access, join, and participate in virtual learning courses.
How is AI transforming the classroom experience?
While virtual learning isn’t relatively new, AI is set to simplify and diversify learning experiences for learners and tutors.
Tutors may be able to translate their tutorials on the go using mighty AI tools, expanding their audiences to several language speakers.
How can AI make virtual learning easier for global learners?
For example, suppose you’re interested in different culture’s live updates but don’t understand the tutor’s language.
In that case, you can attend and follow what they’re saying through AI translation tools, which can translate the speech into your language of choice.
The takeaway
As with any new phenomenon, there’s always a degree of skepticism toward new trends or tools.
Regardless, AI is here to stay, and embracing and harnessing its positive side while considering and addressing ethical concerns such as transparency is crucial to fostering customer trust.
Still, these are the initial stages, and with time, tech giants and other key stakeholders can implement more improvements and recommendations on AI trends in marketing and education.
These may streamline AI-human use while prioritizing and addressing overall safety and ethical concerns.
Ready to tap into the limitless, ever-changing AI revolution? Tell us what trend you love or anticipate and why you love it. Have any feedback on the article? Contact us, and we’ll respond shortly. First Timer Help looks forward to interacting with its readers.
