Industry executives and experts share their predictions for 2026. Read them in this 18th annual VMblog.com series exclusive.
By Bakul Banthia, co-founder of Tessell
Artificial intelligence is no longer a distant promise. It is here, quietly rewriting the rules of business, and most companies are pretending it is not. The AI-native era is not about flashy dashboards or smarter apps. It is about fundamentally shifting who controls data, how decisions are made, and whether traditional IT hierarchies survive. In 2026, AI will not just augment humans. It will increasingly replace them in roles once considered untouchable, and the companies clinging to old database paradigms may find themselves irrelevant before they even realize it.
These five AI-driven shifts will transform database systems. Executives who treat AI as optional will be left behind
1. Conversational Ops: Goodbye Coders, Hello AI Bosses
For decades, command-line interfaces and SQL scripts were the gatekeepers of database management. That era is over. Conversational Ops, also called Conversational Data Management, leverages AI and large language models to allow natural-language interaction with databases. Type a request, and the AI executes it. Simple.
But this is not just convenience. It is democratization, and that terrifies entrenched IT teams. Suddenly, someone without years of training can provision databases, detect anomalies, and manage compliance, all with natural-language prompts. AI copilots like Tessell’s chat-based interface are already guiding users to bypass traditional controls. In five years, the gatekeepers of data will be irrelevant if they do not adapt.
2. Multi-Cloud Databases: The Death of Vendor Loyalty
Cloud vendor lock-in has been the comfortable lie that allowed AWS, Azure, and Google Cloud to dominate enterprise budgets. In 2026, “one database, many clouds” will be the baseline expectation. Solutions like Tessell are already enabling databases, policies, and compliance rules to flow seamlessly across platforms, giving organizations the flexibility to run workloads wherever they make the most sense.
This is not incremental change. It is a paradigm shift. Companies will no longer feel obligated to stay loyal to a single vendor. Those that fail to adopt truly portable, multi-cloud databases will pay the price. Expect higher costs, security risks, and shrinking relevance if you ignore this trend.
3. FinOps Meets DataOps: Cost is the New Performance Metric
AI-driven self-tuning databases are blurring the line between operations and finance. Historically, organizations tolerated wasteful over-provisioning in exchange for reliability. No longer. AI will continuously right-size compute, storage, and workloads, automatically suspending idle processes and optimizing costs in real time.
This convergence of FinOps and DataOps is not just efficiency. It is existential. Companies unwilling to trust AI to balance cost and performance will hemorrhage money while competitors thrive on lean, autonomous systems.
4. Autonomous Compliance: The End of Human Oversight
Compliance is often seen as a bureaucratic chore. AI turns it into an omnipresent watchdog. Every database action, from schema changes to backups, is tracked, validated, and enforced automatically. Manual audits and policies are becoming quaint relics.
Humans are increasingly irrelevant in compliance workflows. Organizations resisting AI-driven enforcement risk falling behind or being caught unprepared when regulators demand proof that their data landscape is audit-ready.
5. Data Foundations: The Silent Bottleneck
Despite all the hype around large language models and GPUs, the real barrier to AI success is messy, fragmented data. Native AI databases require unified, accessible, real-time data streams, open table formats, and AI-ready metadata. Most companies are not even close. Tessell is helping organizations tackle this challenge by providing a platform that integrates data across systems, standardizes metadata, and ensures AI-ready pipelines that are clean, connected, and actionable.
Winning in the AI era won’t come from the fastest models. It will go to those who can organize their data into a clean, connected, and actionable foundation. Ignore this, and even the best AI will fail.
AI is no longer an add-on or a novelty. It is becoming the operating system of business itself. Autonomy, portability, continuous optimization, and built-in governance are not optional. They are survival traits. The choice for 2026 is clear. Modernize your data architecture now, or risk becoming a cautionary tale of legacy systems, squandered opportunities, and failed AI initiatives. Tessell, and platforms like it are giving organizations the tools to unify data, enforce compliance, and extract real value from AI. The time to act is now.
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ABOUT THE AUTHOR
Bakul Banthia is the Co-Founder at Tessell. Before Tessell, Bakul spent a decade at Oracle as a principal engineer and was instrumental in developing the Oracle Enterprise Manager Database and Oracle Fusion Middleware Private Cloud. He is an expert in product design, data infrastructure, and the creation of scalable, secure, and high-performing cloud-based solutions and holds more than five patents in data management.
