While coined in 1956, artificial intelligence has become popular due to the increase in data, advanced algorithms and improvements to computing and storage. With the tools within AI, individuals and businesses alike can sift through copious amounts of data in a fraction of the time and identify patterns and trends to help them make informed decisions.
AI exploded in 2023. Let’s look at the 18 Artificial Intelligence predictions industry professionals have for 2024.
1. An Increased Awareness of AI Safety
From my experience, I believe that in 2024, there will be a significant increase in awareness about AI safety. This means people will start talking more about how to tell if a video is made using Deep Fake technology or if it’s a real video, and whether content is written by a human or by AI. So, in 2024, there will be more discussions about AI safety, and various tools will be developed to identify fake videos and texts. – Nazmul Hasan, Founder & CIO at AI Buster
Undoubtedly, 2023 was a rollercoaster of a year for generative AI services, and there were some hitches along the way. One notable problem has been the data privacy, compliance and copyright infringement issues that call into question the data sets being used to train the algorithms of LLMs like ChatGPT and Bard. As a result, some companies have worried about the legal implications of integrating the technology into their solutions. Tighter processes and regulations were called for to ensure artists, customers and others had given valid consent regarding data.
However, concerns about adopting generative AI may be lesser next year as AI companies take full accountability for the data used by their LLMs. Microsoft recently reassured users that it will take responsibility for content Microsoft Copilot – its AI assistant – will generate by extending the company’s IP indemnity. Many other providers will follow suit in 2024 with similar commitments. This will ensure that liability isn’t placed on the end-user, but with the provider – a move that will drive greater adoption, especially among larger enterprises that will look to reduce the risk of liabilities. – Adonis Celestine, Senior Director of Automation at Applause
2. AI Tools Will Make it Easy for Cybercriminals to Glean Details
AI will enable threat actors to swiftly locate personal details required for convincing phishing emails and to mine databases of stolen credentials to launch effective password-based attacks. To reduce risk, organizations must require strong, unique passwords, tightly control privileged access, and invest in identity threat detection and response (ITDR) solutions. – Dirk Schrader, VP of Security Research, and Ilia Sotnikov, Security Strategist at Netwrix
3. Generative AI Embedded in Vertical Applications
Embedding generative AI into vertical applications is a trend for 2024 especially with platforms that are directly used by consumers. A great example is consumer homeowners who are constantly managing, maintaining, protecting and improving their largest financial asset and biggest expense, their home. HomeZada is a pioneer in this area by combining AI technology with its core digital home management features of home inventory, maintenance, project and finances. – John Bodrozic, Co-founder at HomeZada
2024’s theme will be ‘AI integration.’ This year we will see companies integrating generative AI into a broad range of business functions, unlocking advanced access to deep data insights with AI-enabled technologies supporting data discovery, contextualization, and predictive analysis. –Sharad Varshney, CEO of OvalEdge
Generative AI is set to revolutionize online shopping experiences. By analyzing consumer data, including browsing patterns and purchase history, AI will offer a new level of personalization. We expect to see AI-driven tailor-made product recommendations, personalized marketing messages, and even custom-designed products. – Brian Prince, CEO of Top AI Tools
Generative AI adoption in 2024 will drive enterprise efficiencies and new capabilities that will grow massively in 2025+. The impact of Generative AI is absolutely NOT overhyped. We’re in the early stages of generative AI’s transformation of science and technology, society, and the economy. The analysis and management of global supply chains is such a complex task that AI is a huge improvement over the previous state of play. The advancements in Generative AI open tremendous new possibilities for supply chain and we expect similar results in other important, complex domains such as medicine, scientific research, and more. – Peter Swartz, co-founder and chief science officer at supply chain AI startup Altana
4. More Sophisticated AI-powered Virtual Assistants
One prediction is that AI-powered virtual assistants will become even more sophisticated, seamlessly integrating into our daily lives to handle tasks like scheduling appointments and managing emails efficiently. –Finn Wheatley, Executive Consultant – Data & Technology at Xtrium
One of the most exciting developments is the advent of autonomous AI agents. These AI-driven applications can independently execute workflows, such as generating comprehensive monthly marketing reports. This capability, previously the domain of specialist teams, is set to redefine efficiency in marketing departments. – Yomi Tejumola, Founder and CEO, Algomarketing
AI will move beyond chatbots into workflow tools. One of the biggest AI advancements for the tech industry in 2024 will be moving beyond AI simple chat interfaces like ChatGPT or Bard into specialized workflow tools that help specific functions or types of companies. These AI workflow tools will integrate into users existing workflows to help them work faster, create more content, and produce higher-quality outputs. For example, there will be specialized AI tools to assist sales executives, create professional presentations, and write code. – Daniel Li, CEO at Plus Docs
5. Human-AI Partnerships
As AI becomes integral to core workflows, certain industries will undergo transformative changes. Customer service representatives may need to retrain as AI orchestration specialists, while graphic designers may engage in collaborative efforts with AI co-creators. This transformation, far from a dystopian future, represents a culture of reskilling and talent evolution, necessitating collaborative human-AI partnerships. –Wilson Chan, Founder & CEO at Permutable AI
The conversation around automation and AI has focused heavily on how these technologies will threaten or harm workers. But the reality is that they will do far more good for employees than harm. By leveraging automation and AI, workers can become more efficient, eliminate cumbersome, manual tasks, and free themselves to take on higher-value projects. According to a new survey, 82% of IT decision-makers found that automation has improved employee productivity and 74% said it has improved employee satisfaction. – Akhilesh Tripathi, CEO at Digitate
Roles like AI ethicist will increase in number in 2024, as businesses realize they need specialists to help their AI projects remain responsible and deliver value. It won’t be long until we see robot teaming coordinators, smart home designers, and autonomous vehicle advertisers enter our workplaces. With emerging roles like these, proving you have a skill becomes a lot harder since there are no past roles for employers to refer to. Relying on skill validation techniques like testing, skill challenges, and hands-on learning, can help to bridge this gap. –Corey Hynes, Executive Chairman and Cofounder at Skillable
AI had quite the year in 2023, dominating the headlines with major analyst firms predicting its significant impact over the years to come. But to be successful in 2024 and beyond, AI will be forced to rely on the very sources many fear the technology will replace: people and data. Retail data is highly complex and dynamic with siloed information that is constantly in flux, whether it’s consumer buying behaviors, delayed shipments, product shortages or labor demands. Teams equipped with retail order and inventory data management systems, will play a major role next year to help produce and maintain clean, accurate and accessible data needed for businesses to take full advantage of AI – Nicola Kinsella, SVP of global marketing at Fluent Commerce
In the coming year, the industry will continue to instill the fear of AI replacing employees. However, when it comes to the frontline workforce, I see the opposite and endorse a ‘people first’ AI strategy. I believe that AI will enhance frontline workers’ day to day by optimizing shift coordination, language translations, direct communication with management and streamlining safety procedures. The results will improve frontline workers’ lives by automating many of their mundane tasks and allowing them to focus on their key human-centric work. Overall this will help companies boost productivity and, in effect, help increase their bottom lines. – Cris Grossmann, CEO and founder, Beekeeper
Now is the prime time for L&D leaders to build an AI-forward culture. Inaction on responding to the proliferation of AI is simply untenable—its impacts on the state of work will be massive. Generative AI will impact virtually every business function and is poised to significantly reinvent the operations for many.
A recent IBM report underscores the need for reskilling, estimating that 40% of the global workforce will need to adapt to AI and automation within three years. – Chris Duchesne, General Manager for Springboard for Business
6. Early Days of AI Growth Will Pop
We are in the early days of this next AI growth wave. That means most companies and technologies will be on the radar, for a while. Next, when investors start looking for real growth, many will drop off the radar.
Think of this like the Internet in the 1990’s. There were countless companies and they all showed strength and growth. Then around the year 2000, the bubble burst and many companies and technologies simply disappeared.
The ones who made it continue to show strong growth today. – Jeff Kagan, Technology Industry Analyst
Much like what we saw with networking, cloud computing and mobile apps, the early market begins with euphoria, followed by a period of diffusion, before becoming mainstream. AI will go through a similar adoption curve through 2024. When it comes to enterprise software specifically, I expect to see major advancements in the augmented workforce as AI accelerates and improves human capabilities. Although there is early concern about AI replacing the human worker, I see augmentation as a bigger near-term change as AI starts to drive hyper-automation. We see this in software development, marketing content generation, document editing and even movie production. – John Pritchard, Chief Product Officer at Radiant Logic
The venture capital climate has been tough as of late and will be even more so in 2024. I believe we will begin to see a shift in the industry when it comes to the survival of AI startups, as AI startups start to get acqui-hired by the big tech companies for their talent. This has already started to happen and in the last few months we’ve seen higher than normal venture-funded companies big and small either shut down or quietly get acquired by bigger players.
I think there will be an evolutionary cycle for the companies that can survive the next 18 months or so. It has been said before that some of the best and most valuable companies are usually created in difficult times, like during the 2008 recession and in 2000 when the dot-com bubble burst, as they usually tend to have better products and more disciplined companies. Companies that can run efficiently, be agile, and can adapt quickly to tough situations will be better positioned. At the end of the day, companies that have a strong product, and a demonstrated value proposition, will be in a better position to outrun the competition. – Molham Aref, founder and CEO of RelationalAI
7. The Creation of the Chief AI Officer
There is much discussion around the need for the creation of Chief AI Officers. AI is arguably the top priority for Fortune 500s at the moment. Many are looking to harness the power of AI fairly immediately, and having a CAIO is one rock-solid approach to streamlining its implementation. –Sarah Mawji, Founder and CEO of Final Edit PR
8. High-quality, Orginal Content Will Become Scarce
Another looming challenge is the impending data scarcity. As we march into 2024, “Data is the new oil” shifts from a slogan to reality. Platforms such as X and Reddit, capitalizing on their data reservoirs, hint at the future scarcity and commodification of high-quality data. Despite the daily influx of media, high-quality, original content remains scarce. We’re approaching a “data famine,” with premium text data possibly being exhausted by 2026 and high-quality image and video data by the 2040s. The main problem is the “infinite loop” of content creation. AI will not only create new materials but also use these creations as training data, forming a self-sustaining cycle akin to a vinyl record on repeat. This phenomenon could lead to AI-generated content saturating the market, reminiscent of how factory-produced goods overshadowed artisanal crafts. Meanwhile this will present a new opportunity to shine for those who truly think outside of the box, as their creativity will be able to shine against the AI’s backdrop. – Ilia Badeev, Head of Data Science, Trevolution Group
9. Domain-specific AI Applications
2023 was a landmark year for generative AI, with platforms like OpenAI’s ChatGPT making headlines. However, their use in mission-critical applications revealed limitations, notably in producing authoritative but false information. As we enter 2024, the focus is shifting toward specialized large language models (LLMs) trained in specific domains. These models promise greater accuracy and cost efficiency, particularly in fields like cybersecurity, where we already see significant advancements with security-specific LLMs. The coming year is poised to be a transformative period for domain-specific AI applications. – Adam Geller, CEO at Exabeam
10. Generative AI Will Bring Advancements to the Geospatial World
I’m excited about the innovations and advancements that generative AI is bringing to the geospatial world. We are going to see an enormous number of use cases emerge by bringing together traditional imagery and vector data with predictive transformers. There is a tremendous amount of information trapped within large scale visual datasets just waiting to be interrogated and exploited in novel, interesting ways. I recognize these emerging technologies will greatly benefit the world at large. – Tripp Cox, CTO of leading aerial insights company EagleView
11. AI-powered Code Generation
Developers will benefit from Microsoft Copilot’s advanced AI capabilities. It will become an indispensable tool for coding, assisting developers in writing high-quality, efficient code across programming languages. This will significantly accelerate software development cycles.– Ashu Goel, CEO at WinWire
12. Outsourced AI Will Replace Internal IT Infrastructure and Management
More CIOs will see the wisdom in outsourcing IT infrastructure and management. Instead of asking their internal teams to buy, implement, monitor, protect, manage and troubleshoot increasingly sophisticated IT systems themselves, they will hand over those responsibilities to a managed service provider for 24/7 connectivity, support, collaboration, and security. Under a single vendor, these functions will be a reliable extension of their IT teams, especially important as IT talent will remain scarce. – Mike Flannery, president, Windstream Enterprise
13. Application and Updated LLM Models
Right now, we are seeing a technological breakthrough in the application and updating of LLM models. Companies have either already created and presented their LLM model or are planning to do so in 2024. At the same time, the areas of LLM implementation are already quite numerous. Companies are trying to implement LLM in support chatbots, there are cases of implementation for generating answers to legal requests. A very good context search engine can be organized on the basis of LLM. Actually, most of the solutions, such as writing documentation, writing simple front-end solutions based on prototypes in Figma will allow developers to spend more time on correcting texts rather than composing them from scratch. – Ilya Smirnov, Head of AI / ML Department at Usetech
In 2024, the development and application of specialized agent chains and frameworks are poised to outpace large language models (LLMs). This trend is driven by the increasing demand for highly tailored and efficient AI solutions. Specialized agent chains, characterized by their ability to perform a sequence of targeted tasks, offer greater precision and adaptability than the broader, general-purpose LLMs.
The frameworks supporting these agents will emphasize modularity, allowing for the seamless integration and coordination of different AI components. This evolution in AI development highlights a shift towards more dynamic, context-specific solutions, meeting the complex demands of various industries with greater agility and effectiveness. – Nick King, CEO and Founder, Data Kinetic
14. AI Use of Intellectual Property and Copyrighted Materials Will Come to a Head
With multiple court cases beginning to work their way through the system (for example, Getty Images suing over image consumption, esteemed authors suing over their copyrighted works, and the GitHub Copilot code license case) we will start to see judgements that will better define how intellectual property can and can not be protected and that will shape the meaning of copyright in a world where AI can accurately reproduce other people’s work.
It is highly unlikely that these issues will be resolved in such a short time, and the visibility of the cases and any traction they begin to make will likely only encourage more people to follow suit — including class action lawsuits. The questions around “who owns what AI generates” will only grow in volume, and we can likely expect a lot more confusion well before we find clarity. – Peter Guagenti, President and Chief Marketing Officer at Tabnine
15. Rise of Machines Powered by Real-time Data and AI Intelligence
In 2024, the rise of the machines will be far greater than in the past as data is becoming more and more “real-time” and the trajectory of AI continues to skyrocket. The combination of real-time data and AI make machines come to life as machines start to process data in real-time and make automatic decisions! – Dhruba Borthakur, Co-Founder and CTO of Rockset
Workflows will be autonomous. For anyone who’s ever thought “thanks for doing that, but I wish I didn’t even have to ask,” the newest AI applications will remove the already redundant prompting process by carrying out fully autonomous workflows. Instead of leaning on AI for enablement, AIs will truly multiply their human users by intelligently automating multiple points with a single prompt. Where you used to ask your AI to lookup a company’s revenue, it will now look that up, make sure it fits within your ideal customer profile, find a decision-maker, prospect that company, and return it to you as a revenue-ready opportunity. Think of 2023 as a courtship between humans and their bots. With every prompt and answer, the human-to-machine trust battery was recharged. Like with any relationship, time leads to trust and in 2024 AI will be trusted with complex workflows. – Nick Smith, Founder & CEO of Sailes
16. AI Will Transform the Customer Experience
I think generative AI will enter areas of customer experience in unprecedented ways by recognizing images, utilizing voice automation and automated messaging or chats, as well as the fact that it will be embedded into many of the conversational channels, which is just going to speed up the adoption.
You’ll also see much more growth in the messaging space. A large percentage of customer interactions, between 30% and 50%, will move from being managed by humans to being managed by bots in these different channels through omnichannel experiences. You will have multimodal generative AI that can kind of talk or create videos or create tax to consumers, and all of that data will be flowing back into the kind of a CDP or clouds data around the customers to create the history and summary of all the interactions, which could have a dramatic impact on on the customer experience. – Ivan Ostojic, Chief Business Officer of Infobip
17. AI-Centric Surveillance Systems: Safety and Security
In the case of a security incident, traditional video surveillance systems require someone to review many hours of footage to find key incidents, a time-consuming process which can delay response. The video surveillance industry is poised to transform to AI-driven security systems. Traditional video surveillance systems are evolving into comprehensive AI security solutions.
These systems will record video footage, but will also do a lot more to enhance safety and security. This shift reflects the fact that customers are less interested in video and more concerned about preventing and addressing security issues.
Leveraging machine learning, algorithms, and computer vision, AI safety and security systems will efficiently process and interpret video content, enabling real-time threat detection.
These AI-driven security systems are set to become the norm, delivering intelligent, proactive solutions that minimize problems and enhance overall security across various types of environments, including homes, businesses and government agencies. – Dean Drako, CEO of CEO of Eagle Eye Networks
AI could personalize security measures to individual users and devices, taking into account their behavior, risk profile, and access needs. This could lead to more secure AND more user-friendly experiences. – Denny LeCompte, CEO at Portnox
18. A surge in Advanced Deepfake Technology
As we progress into 2024, I think deepfake technology is poised to increase, posing challenges in discernibility. The potential consequences include political impacts and interference (which will be significant as more than 50 countries will be voting in 2024), disproportionate effects on women and girls (who already make up the majority of victims to deepfakes), and increased difficulty for the average user in recognising manipulated content. – Elle Farrell-Kingsley, AI Curator
