Top Artificial Intelligence Trends in 2025: “2024 was a year of great progress, with AI cementing its role as the defining technology of the decade. Many predictions came true, but some The speed and depth of change, particularly in responsible AI and greener technologies, has highlighted both the promise and challenges of this transformational year.”
This is how ChatGPT responded when asked whether the technology predictions made in these columns last year (The Indian Express, December 29, 2023) came true.
Our prediction for 2024 was for artificial intelligence (AI) to become fully ubiquitous and to move towards responsible AI. See more high-tech products made in India; greener technology. A more private internet. And virtual reality (VR) adds a virtual layer on top of reality.
We largely got it right, even though we overestimated the impact of a cookie-free world and it looks like we’ve largely postponed it. And as augmented reality becomes more popular, India seems to have held off for now, even though the technology is gaining traction in other parts of the world.
AI is certainly making its way into our lives, raising existential questions for both the technology and its users. Everyone is implementing AI, but reaping the benefits of these large investments is not easy.
In 2025, there will be a realignment of real-world use cases for AI. We expect many large companies to reduce the scale of their deployments and limit their technology to areas where it has a measurable impact. Early adopters recognize that while there is no future without AI, it is not the only solution to every problem, at least for now.
It is becoming increasingly clear to users that this new technology is more of a co-pilot than a replacement. As more and more of the edge stuff can be handed over to AI for processing and even decision-making, humans will need to work on top-of-the-line specialties that are different from computers. Focusing on higher-level thinking helps develop game-changing ideas and gives those who can do this a competitive advantage.
Today’s rapidly advancing technology demands our due diligence, and here we predict what will happen in the tech world in 2025.
Takeover by AI agent
Deploying AI agents that can perform specific tasks without guidance, learn from mistakes, and even make decisions about these tasks is a common way to deploy AI for consumers as well as enterprises. That would be a great way to do it.
It’s easy to create AI agents for a variety of use cases and train them to handle routine processes that don’t require human intervention, but also to alert humans when something needs attention. Masu. As of December 2024, users have created over 3 million custom GPTs on ChatGPT, but only about 5% of them are publicly accessible through the GPT Store.
Soon, many tasks related to the internet, apps, and software will be performed by these personalized agents, but businesses will also want to create consumer-facing agents to solve specific problems users may have. Still waiting for it to be released. One of the implications of this is a shift beyond the chat-driven paradigm that GenAI processes currently rely on. These agents are preprogrammed and do not require any prompting to begin their intended behavior.
This also raises ethical issues. For example, an agent might expect a reply to an email sent by a human contact. Banks may already be using certain AI agents to evaluate loan applications based on certain criteria before they reach a manager’s desk. Hospitals may also use agents to highlight important points on blood reports before doctors make their rounds.
death of the dashboard
AI is making data more accessible and starting to remove the skill hurdles behind analyzing large datasets. Over time, dashboards will be replaced by GenAI tools that answer specific data questions with visualizations, trend lines, and even visibility-based predictions.
The cost of processing these queries will likely limit conversational data analytics to enterprise products for some time, but products that display analytics may migrate to this format by the end of 2025. .
At the same time, the data itself must also be migrated to a format that supports the requirements of these new tools. Because user queries are no longer limited by spreadsheet headers, data collection must become more complex and detailed to capture all the metrics that might be called upon.
The rise of not-so-social media
Social media platforms are in the midst of a crisis. Despite its huge popularity in the U.S. and other markets, TikTok faces an uncertain future. X users who are dissatisfied with Elon Musk’s use of the platform are migrating to Bluesky en masse. Facebook is having a hard time finding younger users and isn’t considering taking it seriously. But Instagram continues to grow. It also helps moderate dangerous and even questionable content.
All of this can create a whole new platform to engage your audience. However, such attempts have not been successful in the past. Interestingly, many localized platforms in India have realized that the engagement caused by the lockdown due to the COVID-19 pandemic is not sustainable when users have other things to do. It disappeared in about a year.
To make matters worse, younger users are finding ways to interact on less social platforms, where closed groups make more sense than the message board formats of outdated platforms from the desktop era.
Unparalleled computing power
There’s a lot going on in the world of computing. Google Willow quantum chips show potential to take users to a whole new level, and NVIDIA’s new GPUs can power AI to solve the biggest problems of our time much faster than we imagine . All of this is happening as the new Apple M4 processor brings professional processing power to portable PCs like the Mini.
A wave of new devices is expected soon, which could reduce processing times like never before and open up new possibilities for what you can do with your computer. However, even with increased computational power, questions will be raised about whether the data models are good and complex enough to make good use of computers. The “data wall” of maximizing computing power can begin to push AI models to their limits, triggering a shift toward new trajectories of inference.
AI meets hardware
The first few AI-driven hardware products, such as the Humane AI Pin and Rabbit r1, were huge failures. Here, companies are reminded that being a first mover is not always an advantage, especially when the technology is in its early stages.
In the new year, we can expect a new wave of products with AI at their core, potentially solving more specific problems rather than trying to be the equivalent of a smartphone. It’s difficult to predict what these devices will look like. Some of them may be announced at CES in early January.
Expect to see experiments where AI platforms take the lead on smartphones and laptops. What about OpenAI smartphones full of agents that replace apps, or Perplexity laptops that replace the OS with AI chat?
The possibilities are endless. Expect to tread every possible path.
Nandagopal Rajan is Chief Operating Officer at The Indian Express Digital
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