Artificial intelligence is poised to revolutionize enterprise applications, transforming everything from customer service to supply chain management. Businesses can expect significant efficiency gains with AI’s ability to streamline processes, enhance decision-making and personalize user experiences.
However, the rapid integration of this evolving technology also brings concerns about workforce displacement, data security and ethical challenges. Below, the members of Forbes Technology Council discuss the ongoing impact they expect AI to have on enterprises across industries, as well as the long-term implications for the workforce.
1. AI Superapps Will Be Introduced
AI will change the user interface. This is big—we adopted UI features like buttons, menus and commands because computers could not understand our natural language at all. AI will fix this. Most enterprise applications are just views of data. AI has the potential to unify that, and that leads to the emergence of AI enterprise superapps that can incorporate multiple use cases. – Rohit Kapoor, Tekmonks
2. Apps Will Become Agents
AI is great at gathering and making sense of data. In the long run, applications will move to becoming agents, and then agents that interact with other agents. For now, there is a need for a “human in the loop.” – Nimesh Mehta, National Life Group
Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
3. AI-Driven Decision-Making Will Increase Efficiency And Innovation
AI is transforming enterprise applications by enabling real-time, AI-driven decision-making at scale. Businesses will analyze data dynamically, automate workflows and optimize operations with speed and accuracy. This shift will enhance efficiency, reduce costs and drive innovation. Companies that embrace AI-powered infrastructure will gain a competitive edge in intelligence. – Sven Oehme, DataDirect Networks
4. Complex, Data-Heavy Tasks Will Be Automated
AI will streamline enterprise applications by automating complex, data-heavy tasks like lease accounting compliance. In the long term, this will reduce human error, improve audit readiness and shift employees’ focus from manual data management to strategic decision-making. However, organizations must balance efficiency with oversight to ensure AI-driven processes remain accurate and transparent. – Mark McDonald, CoStar Real Estate Manager
5. AI Will Be Used With Proprietary Datasets
As AI continues to develop, one of the clear bottlenecks is access to unique data. Enterprise applications can add significant value by securely applying AI to proprietary datasets to deliver original insights directly where needed. In legal work, for example, AI can extract deal points from past agreements, building a rich experience database to inform future engagements. – Dan Hauck, NetDocuments
6. AI Will Continuously Assess Risk
Risk intelligence is one area where AI will be significantly used in enterprise applications; specifically, vendor risk assessment. Periodic assessments are a thing of the past. AI-driven models can continuously analyze vast datasets—financial records, cybersecurity posture and compliance trends—to predict potential failures before they even happen. – Srinivasan Ramalingam, Highbrow Technology Inc
7. Enterprise Platforms Will Become Proactive Partners
Enterprise platforms will stop being tools and become thinking partners. Apps won’t just execute commands; they will anticipate needs, adapt workflows in real time and negotiate outcomes with the human operator. This shift will force businesses to decide: Will they harness AI’s force multiplier or fall behind in an economy shaped by autonomous intelligence? – Derek Hoyt, GovSignals
8. The Business Landscape Could Become More Adaptive
AI is increasingly used in enterprise applications for predictive analytics, enhancing decision-making and resource allocation. This integration allows businesses to anticipate market trends and customer behaviors accurately. In the long term, this could lead to a more adaptive business landscape, improving efficiency and competitive edge through real-time responsiveness to market shifts. – Roshan Mahant, LaunchIT Corp.
9. AI Bots And Virtual Assistants Will Handle More Than Basic Q&A
AI-driven customer service involves AI chatbots and virtual assistants that are evolving beyond basic Q&A tools. With enhanced natural language processing and sentiment analysis, they can understand complex human emotions and respond in a way that mimics human interaction. – Sam Sammane, TheoSym
10. AI Will Help Improve Health Outcomes
In healthcare, AI-powered diagnostics have the power to transform areas like radiology by detecting anomalies in medical imaging faster than humans. The upside is early disease detection and quicker intervention. The FDA has approved over 720 AI-enabled medical devices in radiology—more than any other specialty. This is great for patient care and outcomes, but in the long term, AI may require more oversight. – David Talby, John Snow Labs
11. Additional Protection For Sensitive Information Will Be Needed
A new attack vector is about to be unlocked. Enterprises are now implementing enterprise AI at the core of their businesses, exposing their core intellectual property, as well as employees’ and clients’ sensitive information, to entirely new vulnerabilities. The enterprises that will continue gaining value from enterprise AI will only be those that implement security guardrails from the very beginning. – Keren Katz, Apex Security AI
12. AI Will Enable Adaptive Applications
AI is transforming enterprise apps, with agentic AI enabling adaptive applications that redefine the user experience and backend. Apps will self-optimize, automate workflows and enhance security. Imagine Amazon.com as a dynamic, AI-driven prompt, anticipating needs in real time. AI-native platforms power real-time analytics, hyper-personalization and decision-making, reshaping digital experiences. – Gaurav Aggarwal, Onix Networks
13. ‘Realistic Hyper-Automation’ Will Enhance Data Processing And Productivity
Widespread agentic adoption is still premature, but the impacts of “realistic hyper-automation” are set to scale across enterprises. It will enable enhanced decision-making, unstructured data processing and analytics, operational efficiency and productivity, and widespread job transformation in historically laborious areas such as coding, engineering and support. – Ricardo Madan, TEKsystems
14. AI Will Detect And Remedy Compromised Accounts
There is a growing use case for AI-powered security across everyday cloud applications. By analyzing risky events against a baseline of known user behavior and then correlating suspicious behaviors across other applications accessed by the user, AI can detect and automatically remediate compromised accounts. – Mike Britton, Abnormal Security
15. AI Will Be Integrated Across Applications And IT Systems
AI agents will soon be integrated across enterprise applications like CRM, ERP and IT systems, automating workflows and decision-making. Sales, finance and IT teams will leverage AI for predictions, anomaly detection and system monitoring. In the long term, this will drive hyper-automation, real-time insights, AI-driven collaboration, cost efficiency and the need for strong governance and security. – Motasem El Bawab, N3XT Sports
16. AI Will Customize And Personalize Enterprise Applications
AI will take enterprise application customization to the next level by learning user preferences, work patterns and needs in real time. This will create highly personalized experiences, improving productivity and streamlining workflows. In the long term, AI-driven adaptability will make enterprise software more intuitive and efficient, driving higher user engagement. – Karthik Subramanian, Mozilla Corporation
17. Software Systems May Be Able To Detect Users’ Stress Levels
AI in enterprise applications might soon detect and categorize stress and frustration. Consequently, the system can either report problems with the software to the developer or suggest actions for the user, such as taking a break, trying different actions to get the same results or finding coaching. – Kevin Korte, Univention
18. Tokenization Will Shift Power To Individuals
Tokenization is rewriting the global economy by transforming assets and value into tokens. It eliminates gatekeepers, unlocking fractional ownership, AI-driven economies and decentralized wealth creation. From finance to media, real estate to governance, power shifts from institutions to individuals. The question is not if tokenization will transform everything; it is who will lead the revolution. – Charles Morey, MobilEyes Inc.
19. AI Will Democratize Data
AI will democratize data access, allowing managers to generate insights without relying on traditional data gatekeepers. This shift is expected to reduce the influence of specialized departments and operational managers, transferring decision-making power to executives and AI teams and ultimately reshaping corporate power dynamics. – Vitaliy Goncharuk, 12New.AI
20. There Will Be Personalized Training For Employees Based On Performance And Skills
AI-driven employee training and upskilling will personalize learning, adapting courses to individual needs based on performance and skill gaps. This will improve workforce development, enhance productivity and keep employees competitive. In the long term, it may reduce reliance on traditional training methods while ensuring continuous learning in an evolving job market. – Gaurav Bansal, Uber Technologies, Inc.
