From lipid nanoparticles to patent laws, everything that can engage with digital is engaging with AI. 2024 saw great leaps in artificial intelligence and machine learning, with new technologies emerging and new use cases accommodating them. The Gartner Hype Cycle also describes various AI technologies, including AI supercomputing, AI-augmented software engineering, and Gen-AI-based virtual assistants, convening various levels of expectations in the market.
Therefore, as 2024 approaches its conclusion, we need to examine the various eddies around artificial intelligence and machine learning and envision the current flow in 2025.
Based on their continued prominence in 2024, we will discuss the likely trends that would stand out for AI and ML in 2025 in this blog post.
2. Making your AI responsible
While Responsible AI (RAI) has more of a preference so far, in 2025, it is likely to see it more standardized with industry-specific maturity models. Organizations like GSMA are helping with strategies for responsible AI maturity. Frameworks, like PRISM by the World Economic Forum, are being introduced for AI-readiness assessment and to reduce the risks associated with AI. By the course of this year, businesses are likely to perceive RAI as a critical and non-negotiable aspect of their AI strategies. This will affect their decision-making, customer engagement, and compliance management efforts.
2. Continued Fascination with generative AI
A survey by McKinsey suggests that around 65% of organizations regularly engage with Generative AI in one form or another. Throughout this, we saw examples of Gen AI being adapted across industries, including healthcare, e-commerce, supply chain management, etc. Moreover, the U.S. Department of Homeland Security (DHS) also announced the first test of its Generative AI pilots. Therefore, GenAI will likely be further accommodated into business across sectors. Tools powered by generative AI will likely offer businesses better problem-solving, personalization, and predictive monitoring, among other benefits.
3. AI in Cybersecurity
AI-powered vulnerability management, security testing, and threat detection tools are already popular in the market. AI-based threat intelligence is encouraged for security data analytics and other benefits. Therefore, cybersecurity tools that leverage AI for their primary benefits and features will likely be welcomed by businesses across industries in 2025. AI in cyber security will be an essential defense strategy for enterprises and their digital ecosystems.
4. Large language models are no small talk
Large language models (LLMs) are being integrated into digital solutions for retail, marketing, and fintech, among other industries. Despite the various concerns related to data hallucination, data leakage, cost-effectiveness, and more, LLMS will likely be leveraged for more high-value business tasks in 2025. We can see more specialized models for specific industrial use cases. Moreover, the encouragement for responsible and ethical AI might also be reflected in LLM usage.
5. AI agents bringing secret business benefits
Google launched its new AI agent, Mariner, which further strengthens the presence of Agentic AI in our digital landscape. In 2025, agentic AI will receive more acceptance for its benefits in personalization, financial services, automation, and more. AI agents will assist businesses with decision-making and problem-solving, offering a more transformative impact on use cases across industries. We can also see AI assistants combining with IoT systems to offer more sophisticated services in healthcare, supply chain management, and even transportation.
6. AI will enhance your jobs
While the debate of AI replacing jobs is still far from any practical conclusion, more concrete changes are being seen around AI’s role in workforce augmentation. The World Economic Forum also noted AI’s benefits in uplifting productivity and reshaping jobs. Tools like Microsoft Copilot can help boost the efficiency of different teams and empower employees with more informed decision-making on day-to-day tasks. This is why, by 2025, we will find more space in the workforce with a motivation to offer a symbiotic relationship with human employees and technology experts.
7. The rise of AI governance Tools
Forrester suggests that the global market for AI governance is set to reach beyond $15 billion by 2030. This reflects around 30% CAGR between 2024 and 2030. The reason for this is the active presence of government bodies across the globe in policy-making around AI. AI adoption is indispensable for modern digital ecosystems, and businesses require external help to ensure adherence to government policies like the recent California AI Law. 2025 is likely to see the emergence and adoption of sophisticated AI governance tools that will embed into the digital apparatus of businesses and enforce governance frameworks on different aspects. Engaging with AI governance tools will also enhance the credibility of a business as a more reliable partner in digital endeavors. The transparency and assurance these governance tools will offer for ethical AI use will likely become fundamental rules in AI strategies.
8. No uncertainties about quantum machine learning
2024 saw a lot of advancements in Quantum Machine learning. We saw the partnership between Deloitte Italy and Amazon Braket to develop a Quantum neural network-based payment fraud detection system. We also learned about the researchers who achieved more than 95% accuracy in continual learning by a quantum machine learning model. While there are still problems like noise management and qubits entanglement, remarkable work is likely to continue in Quantum machine learning in 2025. With quantum machine learning, businesses can expect better fault tolerance and scalability for their digital processes while ensuring intelligent automation.
Conclusion
Capturing these trends as early as 2025 will help businesses implement more competitive and ambitious AI and ML strategies for long-term benefits. Adherence to responsible AI, a boost in workforce productivity, and automation powered by AI agents will unfold numerous benefits and opportunities for organizations looking to offer more nuanced industry offerings. It is high time business leaders overcome their skepticism about AI and welcome it in all things digital for their organizations.