A software engineer working at a top multinational company in Gurugram, earning around Rs 13 lakh per annum, recently turned to AI for advice on building a side income as uncertainty in the tech industry grows. With layoffs becoming more frequent and automation picking up pace, the concern is no longer hypothetical for many professionals in similar roles.
The techie shared a fairly typical monthly expense breakdown. Around Rs 18,000 goes into rent and electricity, Rs 3,000 on food-related expenses, Rs 4,500 on utilities including domestic help, Rs 25,000 towards EMIs, Rs 3,000 on monthly travel, and about Rs 8,000 on miscellaneous spending such as entertainment and shopping. After all this, he manages to save roughly Rs 25,000 to Rs 30,000 each month.
But savings alone, he felt, may not be enough if things go wrong. Watching colleagues being removed from projects and eventually let go has made him uneasy. With skills in Python, Golang, JavaScript and SQL, along with an interest in finance, content, and even cooking, he asked AI what kind of side hustle could realistically help him build an additional income stream within a year.
It also broke down his finances and pointed out that the goal should not be a hobby but something that can eventually generate Rs 30,000 to Rs 50,000 per month if needed.
The first and most immediate path was freelance tech work. It advised focusing on backend development, automation scripts, dashboards, and API integrations. Instead of selling coding as a skill, it recommended positioning services around outcomes, like automating repetitive tasks or improving backend performance. This, it said, could start generating Rs 10,000 to Rs 30,000 per month within a few months.
The second option was building AI and automation-based micro-services. The idea was to use tools like Python and APIs to create solutions for small businesses, such as chatbots or automated reporting systems. This could scale further and potentially reach Rs 50,000 to Rs 1 lakh per month over time if executed properly.
The third suggestion was content creation, which is slower but builds long-term stability. Topics could include real-life experiences in tech, layoffs, career advice, and finance. The AI noted that income here would take time, saying it may take several months before monetisation begins.
In the first week, it advised selecting only two service offerings and building small demo projects to showcase skills. These would act as proof of work rather than relying on resumes.
The second week focused heavily on outreach. The instruction was simple but demanding: send 10 to 15 proposals daily and actively reach out to startups and small businesses. It emphasised that most people fail at this stage because they don’t put in enough effort.
By the third week, the goal was to close the first small client, even if it meant taking up low-paying work initially. The AI suggested offering a small task at Rs 2,000 to reduce hesitation from clients.
The fourth week was about scaling. This included upselling existing clients, slightly increasing pricing, and continuing outreach to push total earnings beyond Rs 10,000.
The final takeaway was less about fear and more about positioning. The AI stated, “AI is not eliminating developers—it’s eliminating replaceable developers.” It added that those who survive layoffs typically have strong practical skills, visible work, and multiple income streams.
For this Gurugram-based engineer, the issue wasn’t lack of skill. It was the absence of income diversification. And that, according to the AI, is the real risk going forward.
The techie shared a fairly typical monthly expense breakdown. Around Rs 18,000 goes into rent and electricity, Rs 3,000 on food-related expenses, Rs 4,500 on utilities including domestic help, Rs 25,000 towards EMIs, Rs 3,000 on monthly travel, and about Rs 8,000 on miscellaneous spending such as entertainment and shopping. After all this, he manages to save roughly Rs 25,000 to Rs 30,000 each month.
But savings alone, he felt, may not be enough if things go wrong. Watching colleagues being removed from projects and eventually let go has made him uneasy. With skills in Python, Golang, JavaScript and SQL, along with an interest in finance, content, and even cooking, he asked AI what kind of side hustle could realistically help him build an additional income stream within a year.
'You need something that monetises fast'
In response, the AI made it clear that randomly picking a side hustle would not work. It said, “Your concern isn’t misplaced, but the solution isn’t to randomly ‘start something.’ You need a side hustle that is fast to start, aligned with your skills, and can realistically turn into income within 6–12 months.”It also broke down his finances and pointed out that the goal should not be a hobby but something that can eventually generate Rs 30,000 to Rs 50,000 per month if needed.
Three practical options that fit his profile
Based on his background, the AI suggested three main directions.The first and most immediate path was freelance tech work. It advised focusing on backend development, automation scripts, dashboards, and API integrations. Instead of selling coding as a skill, it recommended positioning services around outcomes, like automating repetitive tasks or improving backend performance. This, it said, could start generating Rs 10,000 to Rs 30,000 per month within a few months.
The second option was building AI and automation-based micro-services. The idea was to use tools like Python and APIs to create solutions for small businesses, such as chatbots or automated reporting systems. This could scale further and potentially reach Rs 50,000 to Rs 1 lakh per month over time if executed properly.
The third suggestion was content creation, which is slower but builds long-term stability. Topics could include real-life experiences in tech, layoffs, career advice, and finance. The AI noted that income here would take time, saying it may take several months before monetisation begins.
A clear 30-day execution plan
What stood out was the structured one-month plan the AI laid out.In the first week, it advised selecting only two service offerings and building small demo projects to showcase skills. These would act as proof of work rather than relying on resumes.
The second week focused heavily on outreach. The instruction was simple but demanding: send 10 to 15 proposals daily and actively reach out to startups and small businesses. It emphasised that most people fail at this stage because they don’t put in enough effort.
By the third week, the goal was to close the first small client, even if it meant taking up low-paying work initially. The AI suggested offering a small task at Rs 2,000 to reduce hesitation from clients.
The fourth week was about scaling. This included upselling existing clients, slightly increasing pricing, and continuing outreach to push total earnings beyond Rs 10,000.
The final takeaway was less about fear and more about positioning. The AI stated, “AI is not eliminating developers—it’s eliminating replaceable developers.” It added that those who survive layoffs typically have strong practical skills, visible work, and multiple income streams.
For this Gurugram-based engineer, the issue wasn’t lack of skill. It was the absence of income diversification. And that, according to the AI, is the real risk going forward.
