By Vineet Arora, Chief Technology Officer,
WinWire
We've all had a front-row seat to the evolution of
artificial intelligence over the past several years. The pace of change has
been rapid and it shows no signs of slowing down. So what does 2025 have in
store? Here are my seven predictions for where AI will go in the year ahead, as
it continues to reshape our daily lives.
1: Security for GenAI will grow in importance
Security around generative AI solutions will continue to
be of paramount concern, particularly security around data and data sharing. This
will necessitate greater maturity in security tools built for generative AI.
Numerous small companies have emerged in the space,
offering solutions that range from bias mitigation to general guardrails. Platform
owners like ChatGPT and Anthropic are also integrating these types of features
into their platforms. However, when using their APIs to build custom solutions,
companies will need to ensure that their own risk mitigation measures are
effective.
2: At times, humans will have to stand aside
When generative AI solutions began to roll out, many worried
about the accuracy of the information they were producing. This led to calls
for "a human in the loop." It sounds good-but incorporating humans itself
introduces bias and may limit the freedom that AI needs to operate at its best.
While there are situations where human involvement is
necessary as AI evolves, it's important to recognize that, in some cases, it's
essential to remove humans from the loop in order to fully realize the value of
automation. If AI systems have to wait for human input before proceeding to the
next step, that can inhibit the operational efficiency that AI and automation
are striving to achieve.
3: AI development is hard but new tools will
make it easier
About 20 years ago, developing enterprise software was
incredibly complex. It required meticulous consideration of elements like
message routing, UI generation and many other processes. Today, AI development
faces similar challenges. Tools and development environments are still maturing
and to build an end-to-end solution often involves integrating many different
components.
One emerging technology that's going a long way to ease
the complexity is Microsoft's Prompt Flow, which simplifies the process of
prototyping, experimenting, iterating and deploying AI applications. Going
forward, tools like Prompt Flow will play a critical role in simplifying and
advancing AI development.
4: Agentic AI will transform the way we
interact with AI
The rise of agentic AI will bring a significant shift in the
way AI integrates into our daily lives. With it, AI becomes increasingly
invisible, operating autonomously behind the scenes and quickly adapting to
user preferences while minimizing disruption. At work, it enables enterprises to
create autonomous agents that can understand, build and perform complex
business processes.
This transformation is particularly evident in the
emergence of copilot-style interfaces, which are now revolutionizing the way users
interact with AI. As with the mobile revolution of 15 years ago, when people
began demanding enterprise applications on their mobile devices, we're now
seeing a similar demand for AI integration in the workplace. Microsoft, Adobe
and Salesforce are leading this change by embedding generative AI across their
product lines.
Looking ahead, we can expect both "invisible" and "visible"
AI to become standard features in virtually all software products. This
integration will go far beyond simple chatbots and will fundamentally change
how we interact with technology at work and in our daily lives.
5: AI will continue to reshape industries
In 2025, AI will radically transform many more industries.
How radically? My favorite example is the travel industry. Today, GenAI makes
it a snap for travelers to create detailed, customized itineraries by simply
describing their preferences in natural language. Users can specify constraints
like maximum driving times, hotel preferences, dietary requirements and
membership affiliations, then receive tailored travel plans.
This conversational and highly personalized approach
makes trip-planning more intuitive and flexible, and is structurally changing
how people plan and book their travel.
6: Knowing how to interact with AI will be a
vital new job skill
The spread of generative AI is now creating a number of new,
specialized roles across industries. Like AI strategy consultants, who help
organizations develop comprehensive AI implementation plans. Like AI change-management
consultants, who focus on managing workforce transitions and workplace
disruptions caused by AI adoption.
New leadership positions, like Chief AI Officer, will
emerge to oversee AI initiatives, while AI ethicists will ensure responsible AI
development and deployment. Also key will be AI concierges, who will drive
adoption and help users, particularly in blue-collar settings, effectively
utilize AI technologies in their daily work. There will also be a growing need
for professionals skilled in prompt engineering, which is the art of
effectively communicating with AI systems to achieve optimal results.
The tech workforce is now undergoing a broad shift, to an
environment in which understanding how to interact with AI tools is as
important as traditional technical skills.
7: Humans will still be needed in HR
Generative AI is already transforming the HR function and
employee performance-review systems by analyzing comprehensive feedback data
from multiple sources, including manager evaluations and employee
self-assessments. AI can even identify patterns and potential concerns, such as
employees at risk of underperforming or those who might be considering leaving
the organization.
However, while AI can effectively process and analyze
data to identify areas of concern, this is probably one place where it makes
sense to have a human in the loop. Given the sensitive nature of employment
decisions and their impact on people's lives, AI should serve as a tool to
support human decision-making rather than replace it entirely. This approach
combines AI's analytical capabilities with human judgment and empathy, ensuring
more balanced and fair personnel-management practices.
Final takeaway
Obviously, no one can predict the future. But one reality
is clear: AI will continue to dominate the conversation and have a profound
impact on how we live, work and play for years to come. The trends I've outlined
here represent just a glimpse of what's ahead for AI. We don't know where we'll
end up-but we do know it will be a very different place from where we are now.
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ABOUT THE AUTHOR
Vineet Arora, Co-founder and Chief Technology Officer, has over 29 years of experience in the IT Services Industry and is a Microsoft Azure certified architect. Vineet is responsible for technology consulting engagements focused mainly on the Microsoft platform but expanding horizons in the recent years. At WinWire he manages the technical solutions team, envisioning new solutions, key customer engagement management and also involved in architecting the solutions while trying to balance time to understand trends in the industry as well as in technology!
As a Microsoft’s Partner CSA (Cloud Solution Architect), Vineet helps Microsoft technical sales team as a part of the managed partner program. Prior to joining WinWire, Vineet worked in Microsoft Consulting Services for over 7 years as a consultant and a senior architect focused on delivering solutions on Microsoft’s enterprise app servers.