Enterprise technology spending is approaching a turning point as AI-native tools force organizations to rethink long-standing software relationships.
Once-indispensable platforms such as SAP, Oracle, and Salesforce are facing renewed scrutiny, with CIOs prioritizing flexibility, cost efficiency, and measurable outcomes over traditional vendor loyalty.
Generative AI is the key catalyst. Delivering three- to five-fold productivity gains in coding, analytics, and customer support, AI-driven startups now offer faster and cheaper alternatives to large enterprise suites.
As a result, executives are questioning multi-year licensing contracts when AI agents can automate core CRM and ERP functions at a fraction of the cost.
Enterprises are consolidating multiple SaaS tools into fewer AI-centric platforms, while pricing models shift from per-seat licenses to usage- and outcome-based billing. Modular, API-driven stacks are also replacing monolithic systems.
These changes expose weaknesses in legacy portfolios, as agentic commerce and AI-first HR platforms disrupt traditional revenue streams.
Hyperscalers and AI-enabled DevOps firms stand to gain.
In India, global AI demands are accelerating this shift, redefining enterprise software priorities.
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