Sridhar Vembu on AI and the Future of Software: What Businesses Need to Know in 2026.

AI is changing software development faster than most businesses expected. But the bigger question may not be whether AI can write software — it is how humans and businesses will create value when it can.

Artificial intelligence is moving from being a productivity tool to becoming an active participant in software development. That shift has important implications not only for developers and technology companies, but also for every business that depends on software to operate, sell, communicate and grow.

A recent statement by Zoho founder Sridhar Vembu has brought this question into sharp focus.

In comments reported by The Times of India on September 6, 2026, Vembu suggested that AI could eventually produce a very large portion of software code competently and correctly. He argued that the important question is not simply whether AI will "do it all", but how many humans will still be required as AI takes on more software-related work.

For businesses, this is much more than a conversation about programmers.

It is a conversation about the future of business software itself.

Sridhar Vembu on AI and the Future of Software: What Businesses Need to Know in 2026.

The Real Question: What Happens When AI Can Write Software?

For decades, software development depended heavily on human programmers translating business requirements into code.

That model is changing.

Generative AI and AI-powered development tools can increasingly convert natural-language instructions into functional software. Developers can describe what they want, generate code, troubleshoot problems and accelerate application development using AI.

Zoho itself has been moving in this direction. Its recently launched Catalyst 3.0 focuses on the gap between AI-generated code and production-ready applications, bringing development, deployment and AI-assisted workflows into a more integrated environment.

This creates an important distinction:

Writing code may become easier. Building the right solution will not necessarily become easier.

A business still has to know what problem it is solving.

It still needs to understand customers.

It still needs to define processes.

It still needs to protect data.

It still needs to verify results.

And, most importantly, it needs to determine whether the resulting software actually creates business value.

AI May Write More Code — But Who Defines What Should Be Built?

This is where Vembu's comments become particularly relevant.

If AI becomes capable of producing a large percentage of software code, the competitive advantage may gradually move away from simply knowing how to write code.

The advantage could increasingly come from understanding:

• Business processes

• Industry requirements

• Customer behaviour

• Data

• Compliance

• Security

• Integration

• Automation

• User experience

• Strategic decision-making

In other words, domain expertise may become more valuable, not less.

This is consistent with another point Vembu has made earlier in 2026: software professionals should develop deep domain expertise rather than focusing only on programming speed.

That distinction is important for business leaders.

AI can help produce technology.

But humans still need to determine what technology should accomplish.

Verification Could Become as Important as Creation

One of the most interesting aspects of Vembu's latest comments is his focus on verification.

If AI generates software quickly, businesses need reliable ways to determine whether that software is correct, secure and fit for purpose.

Vembu pointed to formal verification and systems such as Lean, which are used in mathematical theorem proving, as examples of approaches that could potentially help verify AI-generated software.

This could become a major part of the next phase of AI-powered software development.

The traditional workflow has largely been:

Human → writes code → tests code → deploys software

The emerging workflow could increasingly become:

Human defines objective → AI generates solution → automated systems verify → humans validate business outcome → software is deployed

That is a very different model.

What Does This Mean for Businesses?

For business owners and decision-makers, the conversation should not be limited to:

"Will AI replace developers?"

A better question is:

"How can our organisation use AI to accomplish more with the same resources?"

This changes the conversation from job replacement to organisational productivity.

Imagine a business where AI assists with:

• Lead qualification

• Customer communication

• Sales forecasting

• Invoice processing

• Expense management

• Employee workflows

• Customer support

• Marketing content

• Data analysis

• Reporting

• Application development

• Process automation

The value isn't simply in replacing a person performing a task.

The value is in creating an organisation where people spend more time on judgement, relationships, strategy and innovation, while software and AI handle increasingly repetitive or computational work.

The Future May Belong to AI-Augmented Businesses

Businesses that treat AI purely as a replacement technology may miss the larger opportunity.

The more powerful approach is to think in terms of AI augmentation.

A sales professional equipped with AI can potentially research prospects faster.

A finance team equipped with automation can spend less time on repetitive transaction processing.

A marketing team can analyse campaigns faster.

A customer service team can automate routine conversations while concentrating human attention on complex cases.

A developer can use AI to accelerate development while concentrating on architecture, security, integration and business requirements.

This creates a new operating model:

Human expertise + AI capability + business automation = organisational leverage

Why This Matters for Zoho Users

This discussion is particularly relevant to organisations already using Zoho or considering a Zoho ecosystem.

Modern business software is no longer simply about maintaining separate applications for CRM, accounting, HR, marketing and operations.

The opportunity is to connect these systems and automate the flow of information between them.

For example:

Marketing → Lead → Sales → CRM → Finance → Invoice → Customer Support → Analytics

AI can increasingly participate at different points in this workflow.

But the technology only becomes valuable when the underlying business processes are designed correctly.

This is why implementation, integration, process consulting and user adoption remain important even as AI becomes more capable.

A poorly designed process automated by AI can simply become a faster poorly designed process.

What Should Software Professionals Do Now?

Vembu's message that software professionals need to figure out how to remain relevant should not necessarily be interpreted as a prediction that software jobs will disappear.

Instead, it can be viewed as a warning against standing still.

The skills that become increasingly valuable may include:

1. Domain expertise

Understand the industry, not just the technology.

2. Problem-solving

Learn to identify the real business problem before attempting to build a solution.

3. AI literacy

Know how to work effectively with AI systems and AI-powered development tools.

4. System thinking

Understand how applications, data, people and business processes interact.

5. Verification and quality

Know how to test, validate and govern AI-generated outputs.

6. Communication

The ability to translate business requirements into technology solutions becomes even more important when AI handles more of the implementation.

7. Continuous learning

The half-life of technical skills is becoming shorter. Staying relevant increasingly requires continuous adaptation.

What Should Business Leaders Do?

Business leaders should also adapt.

The answer is not to immediately replace existing systems or employees with AI.

Instead, organisations should identify where AI and automation can produce measurable improvements.

A practical starting point is to examine five areas:

1. Repetitive work

Which activities consume employee time without requiring significant human judgement?

2. Data entry

Where are employees repeatedly moving information between systems?

3. Decision support

Where could better data analysis help managers make faster decisions?

4. Customer interaction

Which customer enquiries can be handled automatically while preserving human escalation?

5. Business processes

Which workflows involve unnecessary manual approvals, duplication or delays?

These areas can provide a practical roadmap for AI adoption.

The Bigger Shift: From Software Ownership to Business Intelligence

Perhaps the most important lesson from the current AI revolution is that businesses should stop thinking about software merely as a collection of applications.

Software is becoming an increasingly intelligent operating layer for the organisation.

The competitive advantage will increasingly depend on how well a company can combine:

People + Processes + Data + Automation + AI

Companies that successfully integrate these elements could operate faster, respond to customers more effectively and make better decisions.

The technology itself may become increasingly accessible.

The differentiation will come from how intelligently the organisation applies it.

Magistrum's Perspective

At Magistrum, we believe the future of business technology is not about choosing between humans and AI.

It is about designing businesses where both can perform the work they are best suited to do.

AI can accelerate execution.

Automation can eliminate repetitive work.

Integrated business applications can connect information.

Analytics can improve visibility.

But people remain responsible for strategy, relationships, judgement, accountability and the decisions that shape an organisation.

That is why AI adoption should be approached as a business transformation initiative, rather than simply a technology upgrade.

For organisations across India, the UAE, the Middle East and global markets, the opportunity is particularly significant.

The question is no longer simply:

"Should our business adopt AI?"

The better question is:

"Where can AI, automation and integrated business software create the greatest measurable advantage for our organisation?"

The Future of Software Is Already Arriving

Sridhar Vembu's latest comments provide an important perspective on where the software industry could be heading.

AI may write substantially more software.

AI may automate increasingly complex technical tasks.

Verification systems may become more important.

And organisations may require fewer people to accomplish certain categories of work.

But that does not mean human relevance disappears.

It means human relevance evolves.

The professionals and businesses that remain competitive will likely be those that learn how to work effectively with increasingly capable AI systems — while bringing the domain knowledge, judgement and strategic thinking that turn technology into meaningful business outcomes.

The AI era isn't simply asking us to work faster.

It is asking us to rethink what valuable work actually is.

And, as Vembu put it, everyone in software now has a reason to think seriously about how to remain relevant.

Original Source

This article is an independent analysis inspired by recent comments from Zoho founder Sridhar Vembu, as reported by The Times of India on September 6, 2026.

Read the original report: The Times of India — "Zoho founder Sridhar Vembu: All of us in software need to figure out how to stay relevant..."

Editorial note: This article does not reproduce the original news report. It provides independent commentary and business analysis based on publicly reported statements.