The Influence of AI Business by 2025.
With the ongoing progress of AI this year, experts we spoke to believe that businesses will start to explore and apply this technology, leading to a return on their investments.
With tailored AI Business models suited for industries like retail and healthcare, and AI systems changing how employees work, here is what is expected for AI in workplaces by 2025.
The influence of AI on businesses and operations
Josh Pitman, Managing Director of Priory Direct
“A pivotal time in 2025 will be the beginning of the new financial year when various measures introduced in the budget will take effect. The budget was tough for businesses, and like many others, we have been calculating the effects that will begin next April to adjust our hiring strategies.
We need to determine what we can afford regarding pay increases and recruitment to support our ongoing growth, and we wish to achieve this sustainably while caring for our current teams. Many small to medium-sized enterprises across the nation will face a similar situation.
“The budget has made workforce investments riskier and more costly, raising the question of whether this could benefit AI and automation in various sectors and lead to a stronger shift towards robotics next year. As budgets tighten, this might encourage even smaller companies to invest in automation in 2025, helping to lower labor costs and ultimately increase profits. ”
Joel Carusone, Senior Vice President for Data and AI at NinjaOne
“By 2025, companies will ensure that at least one member of their executive board understands intricate AI concepts. Large language models and the advancements in generative AI are complex areas.
“It is necessary to have at least one expert present who has in-depth knowledge of the technology to respond to questions like, ‘What happens if AI fails?’ As AI regulations become clearer and more stringent, more organizations will likely adopt a Board structure that includes AI expertise, which is crucial for the longevity of businesses and the protection of their customers. ”
Ofir Bloch, Vice President of Strategic Positioning at WalkMe
“The way businesses utilize AI is evolving. Recently, we have seen the rise of more specialized and vertical models. These models offer higher reliability and precision for their specific applications, utilizing a specialized data set to make them more targeted than broader large language models.
We are beginning to see the influence of these smaller models across multiple sectors—such as Shopify Sensei for retail, BloombergGPT for finance, and MedPaLM 2 for healthcare. These models also support important departments such as HR with Paradox Olivia, customer service with the Ada Chatbot, and sales with Gong AI.
“Next year, we can expect an increasing number of companies to adopt these more specialized models. However, just like larger language models, organizations will still incur costs to use smaller models, and they must ensure that their spending is allocated wisely. ”
Samarth Keshava, CTO and CoFounder of Sparrow
HR departments that are trying out AI solutions for managing leaves must proceed with care. By 2025, we will probably witness the first major legal case related to AI-driven leave compliance. Companies that depend too much on generic AI tools for managing employee leave without adequate supervision are taking significant risks.
A single mistake might lead to serious legal, financial, and reputation issues, highlighting the necessity of using technology specifically designed for sensitive matters like leave management.
The development of AI and its use in workplaces
Karthik Suri, the chief product officer at Cornerstone OnDemand
“In the current surge of AI interest, it has become harder to separate what’s real from what is just hype, resulting in periods of disappointment mingled with enthusiasm. This year, we will observe a clear distinction between genuine innovators and those just copying others, as providers are forced to move beyond their promotional claims to offer actual solutions to real challenges.
AI is poised to transform the employee experience by enabling personalized learning, tailored coaching, and work guidance that fits seamlessly into day-to-day operations along with conversational HR systems. Moreover, AI is expected to create significant gains in productivity when setting up and managing these systems. “
“Companies will also encounter more demands to quantify the return on investment from their AI projects, while the use of ethical AI and maintaining data transparency will be essential for fostering employee trust and attracting new talent. “
Jill Goldstein, global managing partner of HR and talent transformation at IBM Consulting
“We are embarking on a new phase of how employees perform their tasks with the advent of AI agents. Unlike AI assistants, which help with specific tasks, AI agents can create plans from a prompt and execute tasks on their own.
They work best when concentrating on specialized jobs and collaborating with other agents to handle complicated, multistep requests. As these AI agents become more prevalent, businesses will need to reconsider their operations and form new types of teams where humans supervise groups of independent AI agents. “
Rodrigo Coutinho, cofounder and AI product manager at OutSystems
Over the past few years, businesses have attempted to apply GenAI to all their challenges. The outcome: GenAI is an excellent solution for many scenarios, but it isn’t suited for everything. As we enter the next phase of AI excitement, known as Agentic AI, it’s crucial to keep in mind that no single AI tool will solve every issue.
AI agents hold great promise in areas like customer service, data processing and analysis, and content generation. At OutSystems, we’ve developed some of our own AI agents. “
Steven Webb, the chief technology and innovation officer for the UK at Capgemini
“Gen AI will speed up career advancements for entry-level positions and encourage deeper expertise. Our latest research indicates that this technology will increase the autonomy of many entry-level jobs by automating routine repetitive tasks, thus speeding up the career development of junior workers.
“I believe that in a few years, we will also see a stronger emphasis on specialization among midlevel and senior management roles, propelled by AI and automation. More than half of leaders and managers. “.
This shift will require organizations to reevaluate existing roles and reorganize their systems to fully benefit from the teamwork of humans and AI. It is crucial for organizations to use AI in a responsible manner and offer training for employees to guarantee the effective evolution of the workforce in the new AI age.
Lucian Boldea, CEO, Honeywell Industrial Automation
“The US manufacturing sector might experience a skills gap resulting in as many as 2. 1 million jobs going unfilled by the year 2030. To counter this shortage, AI and automation will play a crucial role by improving decision-making, responding to issues, and boosting individual productivity.
We should anticipate a rise in the use of AI ‘digital advisors’ that assist technicians and operators by providing immediate access to data, guidance, and insights to improve their decisions. This will enable less experienced workers to achieve higher performance levels. ”
The role of AI in productivity and innovation
Lee Edwards, VP EMEA, Amplitude
“By 2025, as AI transitions away from just being talked about, companies will turn their attention from flashy new technologies to more subtle, valuable solutions that will improve customer interactions. ”
“The AI environment will shift from merely adding AI features to existing older tools, to actual applications that enhance the customer experience and facilitate better business results. The new norm for effective AI deployment will be ‘invisible AI’ operating in the background, distinguishing industry leaders from those still focused on merely showcasing AI without purpose. ”
Ofir Bloch, vice president of strategic positioning, WalkMe
“In 2024, there was significant growth in software applications featuring AI copilots, which aid workers in using the software more efficiently by providing real-time, context-aware suggestions. However, in 2025, companies may begin to encounter challenges related to copilot overload, as employees receive advice from various copilots across different platforms.
This could lead to inconsistent messaging or employees being pulled in opposing directions, resulting in confusion and misaligned strategies within organizations. To mitigate this risk, CIOs will need to increasingly direct employees on which tools are appropriate to use and when optimally ensuring that employees remain unaware of whether they are interacting with different copilots. ”
The changing landscape of AI Business regulation and oversight
Naren Narenden, chief scientist, Aerospike
“The encouraging news is that the chaotic phase—where corporate executives hurriedly integrated AI into their offerings—has now come to an end.
Leaders are now more thoughtful and practical about their AI initiatives. However, we can now expect a pressing demand for researchers and technologists who will focus on finding methods to lower the costs associated with large language models, both economically and environmentally.
At present, the processes needed for Generative AI are exceedingly costly and resource-demanding, especially concerning inference—the act of posing a specific question—which is done far more often than the actual training of models. ”
Eleanor Watson, IEEE member, and AI ethics engineer
Research conducted by the Institute of Electrical and Electronics Engineers (IEEE) indicates that by 2025, artificial intelligence (AI) will emerge as the most vital technology.
A significant 91% of business leaders are convinced that there will be a generative AI ‘reckoning’ as public interest and understanding will evolve, leading to heightened expectations of what this technology can achieve and ought to accomplish.
A primary area of attention will be its ‘self-governance,’ allowing AI to analyze situations on its own and generate actionable insights without needing human input.
Realizing genuine ROI in AI Business
Nick Burling, senior vice president, product, Nasuni
In 2025, a more thoughtful approach to AI Business funding will become prevalent, with companies increasingly prioritizing measurable ROI. Although AI offers great advantages, its substantial operating costs and resource requirements push organizations to be more careful with their AI endeavors.
Many companies will recognize that managing data-intensive applications—particularly at scale—necessitates not only investment but also meticulous cost management. Edge data management will play an essential role, aiding businesses in optimizing data flow and controlling costs tied to AI.
For organizations eager to innovate while staying within budget, cost-effectiveness will be crucial for AI integration. Businesses will concentrate on strategically employing AI, making sure that each AI project is supported by evident, quantifiable returns.
In 2025, companies will adopt AI not just for its ability to bring about change but also for its capacity to provide ongoing, demonstrable value in an era where budgets are under close examination.
