Tech In 2025 : Staying on top of emerging tools and trends is all in a day’s work for tech leaders across industries. Tasked with preparing their organizations to be ready for new developments and regulations, as well as with driving the evolution of their companies’ tech stacks, it’s vital for tech leaders to always have one eye on the present and another on what’s coming down the road. As they look ahead to 2025, many tech leaders see a continued focus on the optimal and ethical use of artificial intelligence, but AI is far from the only topic of conversation. Below, members of Forbes Technology Council detail the specific challenges they expect to be tackling in 2025 as well as what they, and their organizations, are doing to prepare.
1. Driving Engineering Productivity
Driving engineering productivity amid a complex tech landscape will be a challenge. We’re tackling this by leveraging generative AI for intelligent automation, building accelerators for speed and scalability and fostering a people-first culture. By igniting passion, upskilling talent and aligning goals, we ensure innovation thrives. Data-driven optimization keeps processes agile and impactful. – Thushera Kawdawatta, Axiata Digital Labs
2. Ensuring The Safety And Reliability Of AI Systems+
As AI advances in reasoning, autonomy and domain expertise, 2025 will see it tackling complex tasks and driving automation. The challenge will be ensuring safety and reliability as systems grow more complex. My team is dedicated to providing large language model developers with top-quality data to support the safe, responsible and impactful advancement of these technologies. – Olga Megorskaya, Toloka AI
3. Dealing With Funding Challenges
Monthly recurring revenue value is changing, with investors looking for long-term evidence of MRR to indicate a business’s viability in an increasingly competitive market. This change will lead to tech leaders facing funding challenges in the coming years. For us, value-based pricing models and integrations are now integral to showcasing long-term customer value as we adapt to this evolving culture. – Matthew Sole, Zeal
4. Leveraging AI For Compliance And Reporting
In 2025, AI tools could potentially support treasury and finance teams in ensuring compliance with regulations and reporting requirements by analyzing transactions and identifying potential compliance breaches. However, we must all keep in mind that human intelligence cannot be replaced by machines, and AI is best viewed as a tool to drive greater productivity and free time for higher-order work. – Naveed Anwar, Citi
5. Building Flexible Architectures
One of the biggest challenges for leaders and teams in enterprises will be building architectures that are flexible and can adapt to newer models, prompting strategies, guardrails and tools. My organization is focusing on building platforms that enable architectural flexibility and extensibility, easy deployments, and thorough end-to-end evaluations while incorporating evolving patterns of GenAI. – Meghana Puvvadi, NVIDIA
6. Turning AI Into A Revenue Engine
Every company has to become AI-first—AI has to become their revenue engine. It is not enough to just automate processes, such as customer support, with AI. This is the bare minimum. Companies have to get AI into their core. – Daniel Khachab, Choco
7. Protecting An Ever-Expanding Attack Surface
Cybersecurity and data privacy are highly interconnected. As organizations increasingly rely on AI and machine learning for decision making and operations, the attack surface for cyberthreats will expand, making it more difficult to secure sensitive data. Moreover, growing demand for cross-border data flows will create complex regulatory challenges, especially with varying privacy laws across regions. – Kalyan Gottipati, Citizens Financial Group, Inc.
8. Balancing Rapid Innovation With Legacy Systems Management
Tech leaders in 2025 will face the challenge of balancing rapid innovation with managing legacy systems. Our focus will be on adopting hybrid solutions that modernize core operations incrementally while integrating scalable, future-ready technologies. This ensures continuity without disrupting workflows or overwhelming budgets. – Mohit Gupta, Damco Solutions
9. Integrating Advanced AI With A Containerized Infrastructure
In 2025, tech leaders will face the dual challenge of integrating advanced AI systems while optimizing containerized infrastructure for these AI workloads. Success will hinge on embracing this container-centric, AI-powered approach by creating flexible, container-based infrastructures that can seamlessly integrate emerging AI technologies with high security, scalability and performance. – Ben Ghazi, Codiac
10. Defining New AI-Powered Software Development Processes
2025 will be a transformative year for tech as AI reshapes how we work. AI-driven software development promises huge benefits, but achieving them requires evolving team roles and workflows. At our company, we’re already designing a new development process, redefining roles and embracing innovation to lead the future of AI-powered collaboration. It’s an exciting journey ahead! – Darko Pavic, Fiscal Solutions
Tech In 2025
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