AI use cases are going to get even bigger in 2025

Over the past two years, generative AI has dominated tech conversations and media headlines. Tools like ChatGPT, Gemini, Midjourney, and Sora captured imaginations with their ability to create text, images, and videos, sparking both excitement and ethical debates.

However, artificial intelligence goes far beyond generative AI—which is just a subset of AI—and its associated models. AI’s real promise lies in its ability to address complex challenges across diverse industries, from military technology to cybersecurity, medicine, and even genome sequencing.

As we move into 2025 and beyond, the question isn’t whether AI use cases will expand—it’s how big and transformative they’ll get.

MILITARY TACTICS AND INTELLIGENCE

Few sectors stand to gain more from AI advancements than defense. “We are witnessing a surge in applications like autonomous drone swarms, electronic spectrum awareness, and real-time battlefield space management, where AI, edge computing, and sensor technologies are integrated to enable faster responses and enhanced precision,” says Meir Friedland, CEO at RF spectrum intelligence company Sensorz.

Friedland notes that recent conflicts, particularly in Ukraine and across the Middle East, have highlighted critical vulnerabilities in military operations, from tactical to strategic levels—a factor he says will drive the adoption of AI use cases in the military. While Axios said in April that AI hit trust hurdles with the U.S. military, Friedland notes that with the rise of global tensions and defense budgets at an all-time high, “we can expect significant investment in AI to maintain a combat edge.”

For Friedland, the defense sector’s growing embrace of innovation from startups like Palantir and Anduril reflects how AI is going to increasingly change things across the global defense sector.

CRACKING THE CODE OF LIFE

The healthcare sector is witnessing a sharp rise in AI-driven innovation, especially in precision medicine and genome sequencing, transforming how diseases are understood and treated. For many years, scientists and medical professionals have been trying to understand human DNA in an attempt to crack the code that powers life as we know it. Now, with new AI models like GROVER, they have a real chance at getting closer to that goal, Science Daily reports.

“AI is transforming genome sequencing, enabling faster and more accurate analyses of genetic data,” Khalfan Belhoul, CEO at the Dubai Future Foundation, tells Fast Company. “Already, the largest genome banks in the U.K. and the UAE each have over half a million samples, but soon, one genome bank will surpass this with a million samples.”

But what does this mean? “It means we are entering an era where healthcare can truly become personalized, where we can anticipate and prevent certain diseases before they even develop,” Belhoul says.

Genome banks, powered by AI, are facilitating the storage and retrieval of vast amounts of genetic data, which can be analyzed to identify patterns and predispositions to certain diseases. Beyond diagnostics, AI is playing a pivotal role in drug development, accelerating the discovery of therapies for complex diseases.

By analyzing genetic mutations and environmental factors, AI enables researchers to design treatments tailored to individual patients. “These tools are not only improving outcomes but also reducing costs and timelines associated with traditional medical research,” says Belhoul.

BUSINESS COMMUNICATION INTELLIGENCE

Today, businesses swim in a vast ocean of applications—spanning email, messaging apps like WhatsApp and iMessage, and collaboration platforms like Microsoft Teams—that eventually make communication fragmented and often get important details lost in silos. But AI agents like LeapXpert’s patented Maxen are solving this challenge by combining external messaging channels with enterprise platforms to deliver what Dima Gutzeit, founder and CEO at LeapXpert, describes as “communication intelligence.”

While Maxen is similar to Microsoft Copilot—which works only within the Microsoft product suite for now—it’s differentiated in its ability to integrate with multiple communications platforms, including WhatsApp, iMessage, and Microsoft Teams. Gutzeit explains that Maxen is an extension of the LeapXpert Communications Platform (which unifies and governs communication channels) and uses AI to provide relationship managers with real-time insights into client interactions. While that’s commendable, he notes that we haven’t even begun to scratch the surface of how AI will transform business communication.

“2025 will see the rise of AI assistants tailored for enterprise needs, focusing on unifying communication data and driving actionable insights. Compliance and security AI will evolve further, flagging suspicious activity in real time and reinforcing trust in digital interactions,” Gutzeit says.

AI’s role in business communication isn’t just about boosting efficiency. It’s also helping enterprises navigate the growing complexity of data governance and regulatory compliance. For Gutzeit, the future of AI in communication will combine privacy-first AI, compliance, and actionable insights, enabling businesses to thrive in a digitally interconnected world.

AI-POWERED CYBERSECURITY OPERATIONS

AI operates on both the offensive and defensive sides of the cybersecurity equation. One classic example is how cybercriminals used AI-generated deepfake technology to impersonate a company executive in Hong Kong, tricking him into transferring several millions of U.S. dollars. But in response to such threats, companies are deploying AI-driven anomaly detection tools like Darktrace and Vectra AI that monitor network traffic to detect and respond to irregular patterns.

Alex Yevtushenko, CEO at Salvador Technologies, highlights the dual nature of AI in this space: “On the one hand, AI enables expansive behavioral analysis and anomaly detection, improving efficiency and speeding up threat detection. On the other, cybercriminals are leveraging AI to launch more sophisticated attacks.”

A growing and worrisome trend is the use of AI for polymorphic malware—a type of malware that shapeshifts its codes, making it difficult to detect. Attackers are also deploying AI for large-scale phishing campaigns, voice cloning, and social engineering attacks. “National and other critical infrastructures, often reliant on legacy systems, are particularly vulnerable,” Yevtushenko warns. AI’s ability to automate malicious code generation and exploit vulnerabilities amplifies these risks.

Yevtushenko emphasizes the importance of resilience strategies to combat these threats, noting that organizations, especially critical infrastructure operators and industrial enterprises, must invest in robust recovery systems that enable rapid restoration of operations. Salvador Technologies, for example, offers a platform that ensures operational continuity and facilitates rapid recovery, bypassing traditional protocols to minimize downtime.

Speaking about major AI trends to expect in the coming year, Yevtushenko says that 2024 has illustrated that “AI, although not a technology that just emerged, is a hugely useful tool that can become a ‘game changer’ in many fields.” He says that in 2025 “we will see more and more AI-based systems and tools in everyday cybersecurity-based operations, empowering business decision-makers to make the right kind of decisions with the ultimate goal to increase overall security.”

WHAT LIES AHEAD?

The potential for AI extends far beyond the use cases dominating today’s headlines. As Friedland notes, “AI’s future lies in multi-domain coordination, edge computing, and autonomous systems.” These advancements are already reshaping industries like manufacturing, agriculture, and finance.

In manufacturing, for example, AI-powered robotics is enhancing productivity and reducing waste by optimizing workflows. Take Machina Labs, which uses the latest advances in robotics and AI to build the next generation of factories for the manufacturing industry.

Meanwhile, in the agricultural field, precision AI tools are helping farmers monitor crop health, predict yields, and conserve resources. A great example is CropX, which uses AI-powered algorithms to aggregate data from the soil and sky, then transform it into useful insights that help farmers monitor the health of their fields and crops.

In finance, AI is improving fraud detection, enabling smarter investment strategies, and automating routine tasks, with companies like CertifID, Hawk AI, Riskified, and others using AI to detect and mitigate fraud at scale.

As we move further into the decade, the consensus by many experts is that AI will increasingly take over routine tasks, freeing human experts to focus on complex challenges that require nuanced decision-making. Emerging technologies like quantum computing and hardware acceleration are also expected to supercharge AI’s capabilities, enabling more powerful models and faster decision-making processes.

“AI will become more useful for decision-making in the C-suite,” says Belhoul, who also predicts that “we may see the first AI board member of a Fortune 500 company next year.”