As the years go by, the intertwining of society with artificial intelligence seems to grow tighter, making professionals believe that the year 2025 will be monumental when it comes to advancements in AI technology.
AI will continue to expand at an unparalleled pace, which will impact industries, workflows, and raise new questions regarding its ethical and practical use norms.
To know what the future holds, AI News talked to a few prominent experts in the AI field.
Smaller, Specialized AI Models
While working at Red Hat, Grant Shipley noted how a shift in focus from AI model sizes to their effectiveness will take place.
“The number of parameters will no longer be the gold standard for evaluating AI models,” Shipley stated.
In contrast, AI will become more application specific. Developers will assemble multiple smaller models, like microservices in software engineering, instead of one large, monolithic model. This shift towards increased task abstraction will make AI models highly efficient and effective.
Open-Source AI Gains Traction
Bill Higgins from IBM anticipates open-source AI solutions to gain immense popularity in 2025.
“Even as companies invest in AI, many face obstacles such as proprietary model licensing. Open-source will fill this gap by offering resolve AI for less and customizing it to the business’ requirements,” Higgins clarified.
Open-source can assist in cost reduction, but also provide transparency and flexibility, making it an ideal choice for models use in the cloud. Within a couple of years the way proprietary models are developed and integrated, open-source models will be on par if not better than them, allowing companies to make greater use of AI.
This improves AI’s performance while augmenting sets of features available for its wider adoption in integrating open source infrastructure. Nick Burling, an Executive at Nasuni, “Artificial intelligence investment will drive in a lot of hype but over time, a significant portion of it will focus on concern.”
“With AI, companies will take a more strategic approach to initiatives where tangible value is not only promised, but guaranteed,” Burrus stressed.
Avoiding redundancy and effective resource mobilization will reign supreme, guaranteeing AI integrations will accomplish real value for the business.
A Human Touch Supported by AI
According to Jonathan Siddharth, CEO of Turing, the ability to train AI using human intelligence will be the most significant AI breakthrough by 2025.
“Teaching AI how people solve problems is going to be critical, not just assigning a set of tasks,” he states. Choosing language learning models as an operating environment is already a good step in this direction.
Finance and healthcare will be the industries which get to enjoy the collaborative approach between AI and human workers.
AI Systems and Human Behavior Analysis
According to Niklas Mortensen of Designit, he forecasts that AI will consider and integrate human behavior into its decision-making rationale.
“Algorithmic bias has done harm in various forms. AI will behavioral insights to assistance systems to make such systems more accurate and equitable,” explained Mortensen.
As a possible remedy, one example is researching the addition of appropriate “pause moments,” so humans can supervise critical choices AI has to make for issues like medicine and transport.
Also, it’s possible that personal AI services will finally come into their own by intuitively and automatically taking care of chores and calendars.
AI as a Link Between The Physical World And The Metaverse
While at Dropbox, Andy Wilson held a more futuristic view that AI will soon be part of every single household.
“AI has gone beyond simply being a tool. It will serve as a central component in our interaction, work, and even creativity,” Wilson said.
With mobile technology and wearables, this new frontier will be possible as people will be able to experience more in depth immersive AI activities.
But as one of the prime concerns Wilson points out, these advancements will fuel debates on how sensitive data and personal vs work information will be managed.
AI and Sustainability
Finally, as Kendra DeKeyrel of sustainability initiatives at IBM, focuses on the environmental side of the business, she believes AI has limitless potential in sustainability endeavors.
According to DeKeyrel, by optimizing how energy is used, enhancing asset performance, and cutting down on inaccuracies in data centers, AI could enable businesses to achieve their sustainability goals by 2030.
If businesses use analytics powered by AI, they will be able to make more environmentally friendly decisions that minimize waste and improve further.
Improving the Capabilities of AI
James Ingram, who works at Streetbees, thinks that AI will shift its computational focus towards decision making in real time.
Ingram said, “The focus will shift from pre-training to real-time inference which will allow AI to ingest information and act on it immediately.”
Such augmentations to AI’s ability to store and analyze context would push its efficiency beyond even human experts in highly specialized fields.
Agentic AI and Data Structures Under One Roof
Dominic Wellington of SnapLogic expects a surge of “agentic AI,” systems that operate independently and reorganize data in inventive ways, along with new approaches to data structures.
Wellington noted, “These AI models will bring new types of flexibility, but their performance is influenced by the classification and integration of data.”
To maintain the accuracy of AI systems and trust their judgment on complex tasks, more efficient data management approaches will be critical.
From Hype to Actual Usage
Cognite’s AI strategist, Jason Schern, believes that 2025 will be the first year when AI moves beyond expectations to more serious and functional decisions.
“Outrage about AI will die down, and the industry will market its practical and useful applications,” Schern predicted.
AI based processes will reduce the time needed to solve complex tasks in sectors such as manufacturing and engineering.
The Trust Issue with Deepfakes
Gen cybersecurity consultant Siggi Stefnisson raises alarms on the increasing severity of misinformation aided by generative AI.
Stefnisson remarked, “Deepfakes and AI content generation will mix truth and lies in the most complex way. Even professionals will find it difficult to tell apart what’s real and what’s fake.”
This problem requires more robust digital checks to guarantee authenticity because the AI’s capability to produce realistic foils of any form of media is unprecedented.
The Heart of AI Change: 2025
These experts paint a picture that suggests 2025 might be a tipping point for AI and its adoption across the globe.
As AI becomes smarter, more goal-oriented, and increasingly embedded in human activities, AI will change from help in decision making to the primary carrier out of the experimentation phase. The ethical concerns and security risks that arise will also need to be taken seriously.
A positive future for AI relies on its preparedness to counter ethical concerns while streamlining innovation.