Experts and commentators are predicting the bubble around AI could burst in 2025, as obstacles impede the continuation of hype, particularly in the case of generative AI. After years of attracting enormous investments and stirrup up huge expectations, companies and investors will have to lower their expectations regarding what Gen AI and large language models (LLMs) can do, warned Adi Andrei, co-founder of Technosophics, and research fellow at University College London (UCL) Ali Chaudhry, both of whom are members of Oxylabs’ AI/ML Advisory Board; along with the company’s CEO Julius Černiauskas. According to Chaudhry, in some cases, technology is not as scalable as expected. “I think we will see diminishing returns in the capabilities of LLMs. Some AI labs are already hinting that scaling laws are not as effective anymore,” he said. Chaudhry names increasing regulation and general concerns regarding the dangers of AI as factors that will play into taming the Gen AI enthusiasm: “Generally, 2025 will be very important for AI safety, and we will see a lot of work (technical and non-technical) in this space.” Similarly, “responsible AI” and “green AI” will become bigger topics next year, Černiauskas concurred. “Servers that support AI development put a strain on the environment, and there are many risks flowing from a lack of transparency in how AI is developed and functions. AI companies must answer these concerns to earn and keep public trust in the benefits of this technology,” he continued. Andrei, who has more than 25 years of experience in AI/ML and data science, including at NASA, is perhaps the most skeptical of the three. “The Gen AI bubble will most likely burst in 2025,” he predicted. “I was talking about the hype going away last year, but the new influx of money pumped into it without any proof of ROI transformed the dying hype into a bubble about to burst big time.” Andrei points to a diverse and growing list of writers, artists, computer scientists, engineers and philosophers who found common ground against the Gen AI paradigm. “This has raised awareness within the general population of the irreconcilable issues posed by technology and the fact that it is being forced onto people by billionaires and their organizations,” concluded Andrei. Even so, the experts foresee some positive developments coming next year along with some interesting technologies. For Andrei, progress in decentralization technologies, rather than AI, will be fascinating to follow. “2025 will be a year of paradigm changes in the social system, and we will see the emergence of technologies – including information technologies – to facilitate a decentralized way of life and of building community, most likely decentralized social networks, local currencies, and so on.” Chaudhry foresees more AI contributions for scientific discovery. “I think 2025 will be a big year for multi-modal models, especially textto-video models, which will improve significantly in terms of the length of videos, their quality and their obedience to the laws of physics,” said Chaudhry. “We might get some interesting insights into the inner workings of deep neural networks in foundational models.” Černiauskas is hopeful for advancements in automated machine learning (AutoML), which opens this field for those without specialized ML expertise by delegating ML development to algorithms. “AutoML is a crucial step toward democratizing machine learning and AI. With more experts in diverse fields being able to create ML tools tailored to their needs, AI and ML adoption in business can accelerate and open new possibilities,” said Černiauskas. A new study by data collection experts SOAX has analyzed and determined the most popular AI tools for businesses, based on a range of user metrics spanning various categories that were tagged as “business” on AI tools directory, aixploria.com. After categorizing a list of websites that offer AI tools, SOAX gathered five different metrics to create its overall score. Here’s how the top 10 tool categories ranked in terms of use by business: AI Bubbles and Bursting Optimism The Most Popular AI Tools Transforming Businesses AI & AUTOMATION #1 Developer Tools #6 Education & Studies #2 Websites & Design #7 Presentation #3 Productivity #8 Transcriber #4 Automation #9 Data & Analytics #5 Chatbots #10 Sales & Conversion Source: SOAX 8 CHANNELVISION | JANUARY - FEBRUARY 2025
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