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Developers unimpressed by the early returns of generativeAI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Gen AI tools are advancing quickly, he says. Some companies are already on the bandwagon.
2025 will be the “year of disruption” as organizations experience an increase in cyberattacks that halt business operations and impact end users. Additionally, the cost of cyber disruption will increase next year as businesses experience downtime due to cyberattacks and scramble to implement defenses fit for the AI-enabled attacker era.
Agentic AI, the more focused alternative to general-purpose generativeAI, is gaining momentum in the enterprise, with Forrester having named it a top emerging technology for 2025 in June. Vendors could also charge a small price per audio input or output.
Steve Ross, director of cybersecurity for the Americas at S-RM Intelligence and Risk Consulting, says gen AI can reduce a day’s worth of research to a single hour, but not without a catch. “It The AI can go deeper than a Google search.” After all, today’s generativeAI tools are general-purpose, and in their early stages.
As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. That said, 2025 is not just about repatriation. Cloud spending is going up and budgets are tightening, so theyre asking whats going on and how do we right this ship. Where are those workloads going?
Sam Altman, OpenAI CEO, forecasts that agentic AI will be in our daily lives by 2025. Kevin Weil, chief product officer at OpenAI, wants to make it possible to interact with AI in all the ways that you interact with another human being. Don’t let that scare you off.
GenerativeAI has been hyped so much over the past two years that observers see an inevitable course correction ahead — one that should prompt CIOs to rethink their gen AI strategies. Gartner also recently predicted that 30% of current gen AI projects will be abandoned after proof-of-concept by 2025.
With that in mind, we asked tech leaders in various roles and industries to list what technologies they think are overhyped and to put a more realistic spin on each one’s potential. GenerativeAI Perhaps not surprisingly, generativeAI tops the list of today’s overhyped tech. Here’s what they say on the topic.
Agentic AIs, a form of technology designed to run specific functions within an organization without human intervention, are gaining traction as enterprises look to automate business workflows, augment the output of human workers, and derive value from generativeAI. Kumar adds.
CIO packages often include stock options, relocation expenses, and hiring bonuses, says Victor Janulaitis, CEO of consulting firm Janco. The strategic importance of technology leadership has never been greater, especially as organizations attempt to tackle information security, artificial intelligence, cloud transformations, etc.,”
Furthermore, of the companies that plan to use AI agents, the biggest use case was in software development, to generate, evaluate, and rewrite code, and 75% said they plan to use AI agents this way. It makes sense that development is the top agentic AI use case, says Babak Hodjat, CTO of AI at Cognizant.
Microsoft CTO Kevin Scott compared the company’s Copilot stack to the LAMP stack of Linux, Apache, MySQL and PHP, enabling organizations to build at scale on the internet, and there’s clear enterprise interest in building solutions with these services. As in Q3 , demand for Microsoft’s AI services remains higher than available capacity.
GenerativeAI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either.
The 2024 Board of Directors Survey from Gartner , for example, found that 80% of non-executive directors believe their current board practices and structures are inadequate to effectively oversee AI. What are we trying to accomplish, and is AI truly a fit? Employees will find ways to drive incremental value, efficiency, and automation.
These issues mean many gen AI projects remain stuck at the prototyping stage. Consulting giant Deloitte says 70% of business leaders have moved 30% or fewer of their experiments into production. Meanwhile, Gartner predicts at least 30% of gen AI projects will be abandoned after the proof-of-concept stage by 2025.
Analyst estimates of IT and tech spend outside of the CIO/CTO budgets range from 40-45 -to 60%. With 2025 IT spend forecast to cross $6 trillion , there is much for both business and technology to plan for. Digital twins are getting built and born in the enterprise without any CIO facilitation.
Agentic AI is having a moment, as proponents see the benefits of using autonomous AI agents to automate manual tasks across organizations. Agentic AI, which Forrester named a top emerging technology for 2025 in June , takes generativeAI a step further by emphasizing operational decision-making rather than content generation.
Data Fabric Unlocking all of datas superpowers Sjoukje Zaal February 19, 2025 Facebook Linkedin Data fabric helps organizations overcome the challenge of managing overwhelming data by unifying and streamlining disparate sources. Find all previous Waves here. She is the regional head of the architecture community in the Netherlands.
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