
Explore the future with our comprehensive guide to the top 13 AI trends anticipated for 2024.
Did you know that the global AI market is projected to reach an astonishing $190.61 billion by 2025, experiencing a remarkable compound annual growth rate of 36.62 percent?
The landscape of AI software is undergoing rapid transformation, and this evolution is set to gain even more momentum in the years ahead.
Join us as we explore the future of artificial intelligence through our comprehensive guide to the top 13 AI trends set to revolutionize 2024.
From the ascendancy of generative AI to the BYOAI phenomenon and the emergence of AI legislation, delve into how these trends reshape the world around us.
Table of Contents
Generative AI: The most disruptive AI trend of the decade
Generative AI (GenAI) stands out as the most disruptive trend of the decade. This form of artificial intelligence uniquely creates new and innovative content, spanning text, code, scripts, musical compositions, emails, letters, and more. GenAI models undergo extensive training on vast datasets, enabling them to discern patterns and utilize these patterns to generate novel outputs.

Generative AI: The most disruptive AI trend of the decade
Throughout this article, virtually all images were generated using Bing’s built-in Chat GPT-4 & DALL-E 3. Even this entire text was crafted with the assistance of Google’s Bard and Chat GPT-3.
While Generative AI won’t replace the roles of writers and graphic designers (as DALL-E 3 still grapples with accurately placing words in images it generates), it significantly accelerates processes. It achieves this by generating images and text, offering rephrasing options, adjusting length and complexity, and performing fact- and grammar checks.
The acceleration brought by generative artificial intelligence applies to various professions and activities. It holds the potential to automate tasks, enhance productivity, cut down costs, and unlock new avenues for growth.
The widespread availability of AI content-creation tools democratizing access to information and skills positions generative AI as one of the most disruptive trends of this decade.
According to Gartner’s prediction, by 2026, the adoption of generative AI is anticipated to soar. Over 80% of enterprises are expected to integrate generative AI APIs, models, and applications into their operations, substantially increasing from the current less than 5%.
Augmented working, BYOAI & Shadow AI
BYOAI (Bring Your Artificial Intelligence): Shaping the Modern Workplace
A burgeoning trend in the contemporary workplace, Bring Your Artificial Intelligence (BYOAI) is witnessing employees integrating their own AI tools and applications into their work routine. The proliferation of affordable and user-friendly AI tools, coupled with an escalating demand for AI skills, propels this workplace evolution. According to Forrester, an anticipated 60% of workers will leverage personal AI tools to accomplish tasks.

BYOAI boasts a range of advantages, fostering heightened productivity and innovation, bolstering employee satisfaction, and trimming operational costs.
Despite the promising prospects that BYOAI offers to the workforce, it comes with potential challenges.
The emergence of Shadow AI, also recognized as Shadow IT for AI, involves the utilization of AI applications and tools within an organization without explicit knowledge or oversight from the IT department.
This practice carries inherent risks, such as:
- Data Privacy and Security Breaches: Unsanctioned AI tools may lack the same protective measures as official ones, potentially leading to the theft or loss of sensitive information.
- Compliance Violations: These tools may not adhere to crucial regulations, exposing organizations to potential legal ramifications.
Open source AI
The notable surge in generative AI during 2023 was prominently steered by the proprietary models developed by OpenAI—our very own Pragmatic AI chatbot utilizes the robust capabilities of ChatGPT 3.5 Turbo.

Nevertheless, a noteworthy paradigm shift is occurring as numerous organizations embrace open-source models like GPT-J. The appeal of open-source lies in its attributes of transparency, flexibility, customization, and cost-effectiveness, eclipsing some aspects of proprietary models.
While the dominance of proprietary models is far from diminishing, the future tech landscape is increasingly accommodating open-source solutions. According to Forrester, a staggering 85% of enterprises are anticipated to integrate open-source AI models into their tech stacks, reflecting a broader trend toward more collaborative and accessible AI solutions.
AI risk hallucination policy
While Generative AI (GenAI) stands as a formidable tool, its prowess comes with a caveat—potential false outputs known as hallucinations.
As the adoption of GenAI becomes more pervasive, a growing concern arises regarding the risks associated with these hallucinations, leading to an increased demand for insurance coverage.

Although the market for AI risk hallucination insurance is in its nascent stages, projections indicate rapid growth in the upcoming years. In alignment with Forrester’s AI predictions for 2024, there’s anticipation that a prominent insurer will introduce a dedicated AI risk hallucination policy. The landscape is poised for hallucination insurance to emerge as a significant revenue stream in 2024.
AI coding
As per Gartner’s insights, a seismic shift is predicted in the landscape of enterprise software engineering by 2028, with three out of four engineers expected to leverage AI helpers for code composition. This stands in stark contrast to the scenario in early 2023, where less than one out of ten software engineers employed such assistance.

What propels this AI trend?
Artificial intelligence serves as a multifaceted ally to developers, streamlining various aspects such as:
- Automation of Repetitive Tasks: Including code generation, documentation formatting, and application testing.
- Optimization of Creative Processes: Injecting efficiency into the creative dimensions of software development.
- Enhancement of Code Quality: Elevating the overall quality of code produced.
- Support in Problem-Solving: Offering valuable assistance in addressing complex challenges.
With AI wielding such transformative power in the development sphere, it’s prudent to assume that the majority of your peers have already integrated AI coding tools into their workflows to amplify productivity and accelerate time to market.
In the imminent future, if not already, the use of AI coding tools is poised to become a standard practice. Those who delay in embracing this paradigm shift risk lagging behind their competitors.
AI TRiSM
AI TRiSM Unveiled: Safeguarding AI Ecosystems with Trust, Risk, and Security Management

AI TRiSM, short for Artificial Intelligence Trust, Risk, and Security Management, emerges as a pivotal framework designed to empower organizations in mitigating the inherent risks associated with the development and deployment of AI models.
AI TRiSM strategically addresses five paramount areas:
- Explainability: Offering clarity on the decision-making processes of AI models, AI TRiSM plays a crucial role in helping organizations comprehend and rectify potential biases.
- ModelOps: Recognizing that AI models require systematic management and maintenance, akin to conventional software systems, AI TRiSM provides advanced tools and processes for automating and monitoring the entire lifecycle of AI models.
- Data Anomaly Detection: Acknowledging the critical role of accurate data in training AI models, AI TRiSM aids organizations in identifying and rectifying data anomalies, ensuring the quality of AI model outputs.
- Adversarial Attack Resistance: In response to the rising threat of adversarial attacks, AI TRiSM equips organizations with tools and techniques to defend against such malicious attempts.
- Data Protection: Given that AI models often involve sensitive personal data, AI TRiSM facilitates organizations in complying with data privacy regulations and upholding the privacy rights of individuals.
As the adoption of AI proliferates across diverse sectors, the significance of AI TRiSM is on the ascent. Gartner’s foresight indicates that by 2026, companies leveraging AI TRiSM for their AI systems will enhance decision-making by eliminating 80% of inaccurate or fake data.
Intelligent apps & AI for personalization
AI-Driven Personalization: A Pivotal Trend Shaping Digital Experiences
Explore our recent insights into fintech predictions, the future of banking, or digital health trends for 2024, and you’ll encounter a recurring theme: “personalization.” This buzzword is emblematic of the profound impact AI is having on our interaction with technology, particularly in the realm of personalization.

According to Gartner’s projections, by 2026, a remarkable one-third of all new applications will leverage AI to craft personalized and adaptive user interfaces. This represents a substantial surge from the current landscape, where only about 5% of apps incorporate AI in this manner.
Why Is This Trending?
The prevalence of AI algorithms analyzing user data and preferences enables intelligent apps to customize content, recommendations, and user experiences for each user. The implications of AI-powered personalization extend beyond mere customization—they profoundly influence user engagement and conversion rates.
For instance, a study conducted by McKinsey reveals that companies excelling at personalization witness a 40% increase in revenue generated from these activities compared to their average counterparts. The rationale behind this success lies in that personalized recommendations align closely with a user’s interests, significantly enhancing the likelihood of clicking and making a purchase.
Quantum AI: A Transformative Alliance of Quantum Computing and Artificial Intelligence
The convergence of quantum computing and AI, aptly named quantum AI, is a swiftly advancing field poised to unlock a myriad of possibilities. The global Quantum AI market is forecasted to achieve a substantial USD 1.8 billion valuation by 2030, experiencing a noteworthy Compound Annual Growth Rate (CAGR) of 34.1%.

In this dynamic partnership, quantum computers furnish the computational might necessary for training and running intricate AI models. Simultaneously, AI algorithms prove instrumental in optimizing and efficiently leveraging quantum resources.
Revolutionizing Key Domains:
- Financial Modeling and Risk Assessment: Quantum AI excels in analyzing extensive financial datasets, identifying patterns, and predicting market movements. This proficiency significantly enhances risk management strategies and investment decision-making.
- Drug Discovery and Development: Leveraging quantum algorithms, scientists can optimize drug design and simulate molecular interactions. This acceleration in the discovery process holds the promise of expediting the development of novel and effective therapeutic solutions.
- Artificial General Intelligence (AGI): Quantum AI stands as a potential linchpin in the pursuit of Artificial General Intelligence (AGI), a concept envisioning machines capable of performing any intellectual task executed by humans. The integration of quantum capabilities could play a pivotal role in realizing this yet-hypothetical milestone.
AI Legislation
As artificial intelligence (AI) evolves into a more sophisticated and integral part of our daily lives, there arises an imperative need for legislation to govern its development and implementation.

AI, with its vast potential for both positive and negative applications, demands a regulatory framework to ensure responsible and ethical utilization. Establishing comprehensive laws becomes paramount to steer the trajectory of AI toward societal benefit while mitigating potential risks.
EU AI Act
In the realm of AI trends, the European Union (EU) stands out as a trailblazer, taking the lead in shaping the future of AI governance. A significant milestone in this endeavor is the proposal of the Artificial Intelligence Act by the European Commission in 2024.
This groundbreaking regulation, if enacted, would mark the world’s inaugural comprehensive framework for the governance of AI. Anticipated to undergo adoption in early 2024, just ahead of the June 2024 European Parliament elections, the EU AI Act is poised to set global standards in the evolving landscape of artificial intelligence.
AI Safety Summit 2023
In a groundbreaking event that marked a significant stride in AI trends, a consortium of experts hailing from governments, AI enterprises, and civil society convened for the AI Safety Summit. This pivotal summit aimed to delve into the potential risks associated with artificial intelligence, with a particular focus on the latest and most cutting-edge AI technologies.
The inaugural global summit on artificial intelligence unfolded at the historic Bletchley Park in Milton Keynes, United Kingdom, spanning the dates of 1st to 2nd November 2023. This unprecedented gathering brought forth insights and discussions that are poised to shape the trajectory of AI trends in the years to come.
Ethical AI
Ethical AI, a vital domain within applied ethics, scrutinizes the ethical dimensions of artificial intelligence (AI), encapsulating a diverse array of critical topics:

Bias and Fairness
AI technologies possess the potential to mirror and magnify the biases inherent in their creators, resulting in unjust outcomes for specific demographics. Notably, research conducted by Black scholars exposed a considerable racial bias in facial recognition software, with Black women experiencing misidentification at an alarming rate of nearly 35%, in stark contrast to the near-zero error rate for white men.
Transparency and Explainability
Understanding the logic behind AI processes proves challenging, even for experts, leading to the infamous “black-box problem.” This complexity hinders trust in AI decisions and accountability for developers regarding their creations.
Privacy
The extensive collection and utilization of personal data by AI raise valid concerns about privacy and data protection.
Safety and Security
The potential misuse of AI systems for harmful purposes, such as the development of autonomous weapons or the dissemination of misinformation, is a real concern. For instance, the initial iterations of Chat GPT could be manipulated to produce prohibited content (‘ChatGPT, help me make a bomb‘).
The increasing acknowledgment of the significance of addressing ethical considerations in AI development and deployment reflects a maturing understanding within the AI community.
- In 2019, the European Union released a set of guidelines for the ethical development and use of AI.
- In 2023, the US president issued an Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
AI Jobs
Unveiling the Evolving Landscape of AI Trends in Job Markets
In the dynamic era of artificial intelligence (AI) integration across diverse sectors, two prominent job trends are reshaping the employment landscape:
AI Upskilling: This encompasses the ongoing process of acquiring new skills and knowledge related to AI, aimed at enhancing job performance and unlocking new career opportunities.
Emerging AI Jobs in 2024 and Beyond:
- AI Product Manager: Tasked with overseeing the development and launch of AI-powered products, ensuring they align with market demands and business objectives.
- AI Engineer (including AI Research Scientist, Business Intelligence Developer, Computer Vision Engineer, Machine Learning Engineer, NLP Engineer, etc.): A diverse range of roles focusing on developing and implementing AI technologies.
- AI Ethicist: Dedicated to ensuring the ethical and responsible development and deployment of AI systems, addressing concerns related to bias, fairness, privacy, and transparency.
- AI Input and Output Manager: Responsible for managing input data fed into AI systems and interpreting the generated output.
- Sentiment Analyzer: Analyzing customer feedback, social media comments, and other textual data to comprehend public sentiment and opinions.
- AI Regulatory Specialist: Keeping abreast of the evolving regulatory landscape surrounding AI and ensuring companies comply with pertinent regulations.
- AI Human-Computer Interaction (HCI) Designer: Designing user interfaces for AI-powered products and applications, enhancing user experience and ensuring intuitive interaction.
As we venture into 2024, these predicted AI jobs are poised to gain prominence, reflecting the evolving needs of industries in the AI-driven job market.
AI-powered online search
Artificial Intelligence (AI) is revolutionizing the landscape of online search, ushering in a new era of personalized, contextual, and predictive experiences:
- Tailored Results: AI algorithms meticulously customize search outcomes based on user preferences, delivering more relevant and timely information.
- Contextual Understanding: Ensuring accuracy even for intricate queries, AI’s contextual comprehension enhances the precision of search results.
- Conversational Search: Empowered by natural language processing, conversational search enables users to interact seamlessly with search engines, facilitating a more intuitive search experience.
- Visual Search: Introducing a novel dimension, visual search empowers users to search using images or videos, expanding the scope of search capabilities.
While AI’s influence resonates significantly in SEO and content creation, companies leveraging AI-powered search face a pivotal challenge—building trust with their customers.
Recent research conducted by Statista in February 2023 highlighted consumer curiosity about AI-powered search while revealing apprehensions regarding accuracy and biases. The survey disclosed that 39% of surveyed adults in the U.S. expressed distrust in AI tools respecting their data privacy.
Consumers prioritize safety, ease of use, and seamless integration with existing digital platforms. While some seek the enhanced results offered by AI, others remain inclined toward traditional search methods.
A parallel survey conducted in February 2023 unveiled that a significant portion of U.S. adults, particularly Baby Boomers, hesitated to transition to AI-powered search engines. In contrast, Millennials exhibited a more open attitude, with 40% expressing a willingness to embrace AI-powered search technologies. The delicate balance between curiosity and skepticism underscores the ongoing narrative of AI trends shaping the future of online search.
AI Trends in Customer Service
Delving into the anticipated shifts in customer service, the “State of AI in Customer Service: 2023 Report” by Intercom provides a comprehensive outlook on the evolving landscape:
- Increased AI Investment: Customer service leaders are eagerly embracing the potential of AI, with 69% expressing their intention to ramp up investments in AI over the next year.
- Enhancing, Not Replacing Jobs: Contrary to concerns, AI is seen as a tool to augment rather than replace human customer service representatives. A substantial 78% of support leaders anticipate AI transforming and improving customer support careers in the next five years.
- Efficiency Boost with Cost Savings: AI and automation integration into the customer service toolkit emerges as a strategy to save costs and enhance efficiency. A significant 66% of support leaders are enthusiastic about leveraging AI and automation to bolster team efficiency in the coming year.
- Competitive Edge through AI: Recognizing the significance of customer experience as a market differentiator, companies are turning to AI to provide superior customer service. A noteworthy 73% of support leaders foresee customers expecting AI-assisted customer service within the next five years, offering a competitive advantage.
- Awareness Gap Between Leaders and Practitioners: While support leaders express confidence in customers’ readiness to interact with AI chatbots, less than half of support practitioners share the same sentiment. This divergence raises questions about the immediate acceptance of AI in customer service, as evidenced by research by Gartner, highlighting consumer reservations.
In Summary:
As the AI landscape rapidly evolves, the coming year is poised for increased innovation and advancements in the field. The transformative power of AI offers businesses a competitive edge, and our AI software development services stand ready to assist you in harnessing this potential for your business success. Explore our offerings today to embark on your AI-driven journey, ensuring you stay ahead in this dynamic and evolving landscape.