Latest news with #AnushreeVerma
Entrepreneur
4 hours ago
- Business
- Entrepreneur
The Agentic AI Dilemma: Promise, Pitfalls, and Practicality
At this early stage, agentic AI can only be pursued where it delivers clear value or ROI Opinions expressed by Entrepreneur contributors are their own. You're reading Entrepreneur India, an international franchise of Entrepreneur Media. "A lot is happening in terms of Agentic AI." This headline is everywhere but is it truly happening, or is it just another misleading hype in the tech world? Gartner has termed this trend as "agent washing"—the rebranding of existing tools such as AI assistants, robotic process automation (RPA), and chatbots, without any substantial agentic capabilities. According to Gartner's latest report, more than 40 per cent of agentic AI projects will be cancelled by the end of 2027 due to escalating costs, unclear business value, or inadequate risk controls. Of the thousands of vendors claiming to offer agentic AI solutions, Gartner estimates only around 130 are legitimate. "Most agentic AI projects right now are early-stage experiments or proof-of-concepts driven largely by hype and often misapplied," said Anushree Verma, Senior Director Analyst at Gartner. "This can blind organisations to the real cost and complexity of deploying AI agents at scale, stalling projects before they move into production. They need to cut through the hype to make careful, strategic decisions about where and how they apply this emerging technology." The high cost of agentic AI One of the major barriers to meaningful adoption is cost. So how much does it actually take to build agentic AI? "For enterprises starting from scratch, developing Agentic AI internally could cost anywhere between INR 50 crore to INR 200 crore (approx. USD 6 million to USD 24 million) over 3–5 years, depending on scale, vertical, and use case," said Apurv Agrawal, Co-founder and CEO, SquadStack. "And even then, you're not guaranteed deployment success unless your systems are robust, your data flywheels are strong, and your change management is bulletproof." So, what will it take? Despite these early-stage challenges, the potential of agentic AI is immense. Gartner predicts that by 2028, at least 15 per cent of day-to-day work decisions will be made autonomously by agentic AI up from zero in 2024. Additionally, 33 per cent of enterprise software applications are expected to include agentic AI by 2028, compared to less than one per cent in 2024. To prepare for this transformation, organisations must adopt significant mindset and infrastructure shifts. The voices in the Indian AI space weighed in: Ganesh Gopalan, Co-founder & CEO, Gnani AI explained, "To effectively integrate Agentic AI into their operations, organisations must cultivate a mindset that embraces autonomy, continuous learning, and cross-functional collaboration. We often say that automation isn't AI and while many companies stop at basic task automation, what's truly needed is AI that works, understands, reasons, and adapts in real-time to deliver business outcomes." "To support this, companies need to leverage API-first, modular system designs, which enable flexibility, allow for rapid development, and orchestrate AI workflows seamlessly across business areas while maintaining an engaging, human-like experience. Ultimately, businesses must understand that AI is not just a tool for automated responses but a way to improve and personalise customer engagement," added Beerud Sheth, Co-founder & CEO, Gupshup. However, at this early stage, agentic AI can only be pursued where it delivers clear value or ROI. "To get real value from agentic AI, organisations must focus on enterprise productivity, rather than just individual task augmentation," Verma said. "They can start by using AI agents for decision-making, automation for routine workflows, and assistants for simple retrieval. It's about driving business value through cost, quality, speed, and scale."
CNA
8 hours ago
- Business
- CNA
Over 40% of agentic AI projects will be scrapped by 2027, Gartner says
More than 40 per cent of agentic artificial intelligence projects will be canceled by the end of 2027 due to escalating costs and unclear business value, according to a report by Gartner. WHY IT'S IMPORTANT Tech giants such as Salesforce and Oracle have embraced AI agents, systems that can autonomously complete goals and take action, pouring billions into the technology in the hopes of boosting margins and optimizing costs. Many vendors are engaging in "agent washing" - the rebranding of products such as AI assistants and chatbots without significant agentic capabilities, Gartner says, estimating that only about 130 of the thousands of agentic AI vendors are real. KEY QUOTES "Most agentic AI projects right now are early stage experiments or proofs of concept that are mostly driven by hype and are often misapplied," said Anushree Verma, Senior Director Analyst at Gartner. "Most agentic AI propositions lack significant value or return on investment, as current models do not have the maturity and agency to autonomously achieve complex business goals or follow nuanced instructions over time," Verma said. BY THE NUMBERS Gartner predicts at least 15 per cent of day-to-day work decisions will be made autonomously through agentic AI by 2028, up from 0 per cent in 2024.
Reuters
8 hours ago
- Business
- Reuters
Over 40% of agentic AI projects will be scrapped by 2027, Gartner says
June 25 (Reuters) - More than 40% of agentic artificial intelligence projects will be canceled by the end of 2027 due to escalating costs and unclear business value, according to a report by Gartner. Tech giants such as Salesforce (CRM.N), opens new tab and Oracle (ORCL.N), opens new tab have embraced AI agents, systems that can autonomously complete goals and take action, pouring billions into the technology in the hopes of boosting margins and optimizing costs. Many vendors are engaging in "agent washing" - the rebranding of products such as AI assistants and chatbots without significant agentic capabilities, Gartner says, estimating that only about 130 of the thousands of agentic AI vendors are real. "Most agentic AI projects right now are early stage experiments or proofs of concept that are mostly driven by hype and are often misapplied," said Anushree Verma, Senior Director Analyst at Gartner. "Most agentic AI propositions lack significant value or return on investment, as current models do not have the maturity and agency to autonomously achieve complex business goals or follow nuanced instructions over time," Verma said. Gartner predicts at least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028, up from 0% in 2024. Additionally, 33% of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024.
Yahoo
8 hours ago
- Business
- Yahoo
Over 40% of agentic AI projects will be scrapped by 2027, Gartner says
(Reuters) -More than 40% of agentic artificial intelligence projects will be canceled by the end of 2027 due to escalating costs and unclear business value, according to a report by Gartner. WHY IT'S IMPORTANT Tech giants such as Salesforce and Oracle have embraced AI agents, systems that can autonomously complete goals and take action, pouring billions into the technology in the hopes of boosting margins and optimizing costs. Many vendors are engaging in "agent washing" - the rebranding of products such as AI assistants and chatbots without significant agentic capabilities, Gartner says, estimating that only about 130 of the thousands of agentic AI vendors are real. KEY QUOTES "Most agentic AI projects right now are early stage experiments or proofs of concept that are mostly driven by hype and are often misapplied," said Anushree Verma, Senior Director Analyst at Gartner. "Most agentic AI propositions lack significant value or return on investment, as current models do not have the maturity and agency to autonomously achieve complex business goals or follow nuanced instructions over time," Verma said. BY THE NUMBERS Gartner predicts at least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028, up from 0% in 2024. Additionally, 33% of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Al Bawaba
10 hours ago
- Business
- Al Bawaba
Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled By End of 2027
Over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls, according to Gartner, Inc.'Most agentic AI projects right now are early stage experiments or proofs of concept that are mostly driven by hype and are often misapplied,' said Anushree Verma, Senior Director Analyst, Gartner. 'This can blind organizations to the real cost and complexity of deploying AI agents at scale, stalling projects from moving into production. They need to cut through the hype to make careful, strategic decisions about where and how they apply this emerging technology.'According to a January 2025 Gartner poll of 3,412 webinar attendees, 19% said their organization had made significant investments in agentic AI, 42% had made conservative investments, 8% no investments, with the remaining 31% taking a wait and see approach or are vendors are contributing to the hype by engaging in 'agent washing' – the rebranding of existing products, such as AI assistants, robotic process automation (RPA) and chatbots, without substantial agentic capabilities. Gartner estimates only about 130 of the thousands of agentic AI vendors are real.'Most agentic AI propositions lack significant value or return on investment (ROI), as current models don't have the maturity and agency to autonomously achieve complex business goals or follow nuanced instructions over time,' said Verma. 'Many use cases positioned as agentic today don't require agentic implementations.'Realizing Business ValueDespite these initial challenges, the trend toward agentic AI represents a leap forward in AI capabilities and market opportunity. Agentic AI will provide new means to enhance resource efficiency, automate complex tasks and introduce new business innovations, beyond the capabilities of scripted automation bots and virtual predicts at least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028, up from 0% in 2024. In addition, 33% of enterprise software applications will include agentic AI by 2028, up from less than 1% in this early stage, Gartner recommends agentic AI only be pursued where it delivers clear value or ROI. Integrating agents into legacy systems can be technically complex, often disrupting workflows and requiring costly modifications. In many cases, rethinking workflows with agentic AI from the ground up is the ideal path to successful implementation. 'To get real value from agentic AI, organizations must focus on enterprise productivity, rather than just individual task augmentation,' said Verma. 'They can start by using AI agents when decisions are needed, automation for routine workflows and assistants for simple retrieval. It's about driving business value through cost, quality, speed and scale.'
