Predictions for Tech in 2025

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The tech world in 2024 was nothing short of a rollercoaster, from the relentless advancements in generative AI to surprising moments like the Crowdstrike outage , catching many off guard.

These moments show just how unpredictable the tech landscape can be.

With the arrival of 2025, the tech world is buzzing with potential breakthroughs that could reshape the way we think about modern technology.

Having spent decades in the industry, I wanted to share some of my thoughts on what lies ahead – like the even more explosive growth of generative AI and other developments poised to reshape how we think about technology.

The seismic shift is coming. The very foundations of modern technology are about to be rewritten.

And I’m not just talking about incremental tweaks – I’m talking about a full-blown revolution. Get ready for the most transformative year in tech history.

Here’s what I see on the horizon.

More of the cloud

Cloud computing experienced a successful streak in 2024, with 45% of companies already having “shifted at least half of their applications onto public clouds.”

As expected, the dominant three – AWS, Microsoft Azure and Google Cloud – retained their position as the public cloud providers of choice.

In 2025, however, we’ll look at the ultimate dominance of multicloud strategies. This approach gained popularity in 2024, according to Flexera researchers.

Many companies now see the cost savings and reliability of using multiple clouds. Hybrid cloud technology will also keep pace – especially with the renewed emphasis on cloud security.

An integrated approach will help businesses grow through the use of public clouds, which can provide greater security and control, along with faster response times.

We’ll also see the growth of decentralized cloud platforms next year. The need for affordable cloud services will mainly drive their adoption, as they can help companies avoid vendor lock-in.

DePIN platforms will be essential in many organizations’ cloud onboarding process and fill the infrastructural gap.

The rise of multimodal AI

The release of GPT-4o teased the capabilities of commercially available multimodal AI in 2024. This year, multimodal AI will be vital.

Users will shift from text-based content to richer and more interactive input and output options. In essence, relying solely on generative AI won’t suffice.

Multimodal learning unlocks new possibilities for AI technology, allowing it to draw parallels and associate related text, audio, photos or video.

Using different data sources allows models to train and understand results more accurately than ever.

Agentic AI will make a significant impact in 2025. However, data privacy and ethical issues will be major challenges to its popularity.

Generative AI has done well with text-based chatbots. However, we’ll see more improvements in multimodal AI across different sectors.

AI governance is coming

AI supervision will be vital in 2025. The EU AI Act will start in February 2025 . As open-source AI becomes more popular in the public sector, the focus on quality assurance will grow.

Data and AI governance will also become key to ensuring regulatory compliance while minimizing bias and security risk as the line between generative AI and reality becomes less clear.

Enterprise organizations aligning with AI governance platforms will reap more customer trust and regulatory compliance benefits.

Cybersecurity in the spotlight

Cybersecurity attacks have been on the increase in the past year . In 2025, the story will remain the same. We’ll see an escalation of cyberattacks now powered by AI.

Phishing attacks will become even more personalized as malicious actors leverage machine learning to identify and exploit weaknesses.

Deepfakes, voice spoofing (vishing) and other social engineering attacks will continue to bypass identity checks and traditional security measures.

Establishing a strong cyberattack defense mechanism powered by AI will be pivotal for organizations to quickly find and respond to threats in 2025 and beyond.

Edge AI for IoT

Traditionally, AI applications have relied on cloud-based central servers.

However, experts are seeing an increase in edge computing spending, implying that AI algorithms and models will more often run directly on edge devices in real-time. This helps reduce delays and improve data privacy.

This will be key for applications in industries like healthcare, allowing for faster and more accurate diagnoses.

It can also help with monitoring and improving production lines, finding defective products and spotting technical problems before they happen.

AI in IoT has already started with smart home devices. These include personalized automation for home appliances, lighting and entertainment.

AI-powered monitoring and surveillance help homeowners spot suspicious activities in real-time. They can also alert the proper authorities.

The broader, complex applications of edge AI in IoT will mature much later.

Many IoT companies will also adopt a hybrid approach. In this context, developers will use edge AI computing for models that handle sensitive data.

This also serves those who need real-time predictions and data processing.

At the same time, the cloud will manage more complex algorithms. A few extra seconds of delay may not greatly affect these algorithms.

Rounding up

The new year offers unique opportunities to reconsider the strategies of the past and brace for the challenges ahead.

As stakeholders, we’re responsible for learning from the mistakes of the past years and using them as building blocks for the future.

By embracing the lessons of 2024, we can forge a brighter 2025.

Daniel Keller is the CEO, president, and co-founder of InFlux Technologies Limited (Flux), the world’s leading decentralized Web 3.0 cloud infrastructure platform. A passionate advocate for disruptive technology, Daniel is known for his charismatic leadership and forward-thinking approach to world-changing innovations.