IIT Roorkee + ISB Graduate on AI, MBA Reality & Corporate Politics | Siddharth Maheshwari

Summary

Siddharth Maheshwari discusses how professionals can adapt to AI, make deliberate career and MBA choices, and build networks and startups. His central message is to focus on demonstrable value: learn tools that increase your output, understand the needs of a specific industry, and take initiative rather than waiting for opportunities.

AI, work, and productivity

• Treat AI as a tool to redesign work, not just a threat to jobs. Maheshwari compares AI with earlier technology shifts, arguing that roles change as new capabilities emerge. He also cautions that the transition may be disruptive and that people whose work remains unchanged could be at risk.
• Use AI on real tasks in your own role. Identify repetitive work and test how AI can automate or accelerate it—for example, spreadsheet workflows, marketing, content production, or product research.
• Pair automation with human oversight. His example of automating rental-property posts and lead collection illustrates how AI can handle execution while a person checks that the workflow works and makes decisions.
• Build AI skills before they become an urgent requirement. Maheshwari says he took AI-led marketing courses before their usefulness was clear, then applied what he learned to improve his output.
• Illustrative productivity examples: He describes a content writer using AI to increase output from roughly five articles to 50–100 per day, with validation rather than simple copy-pasting. He also says he can now complete some tasks in about an hour that previously took four. These are examples from the discussion, not general benchmarks.
• He expects roles to broaden as teams use AI. For instance, product managers may take on more work involving specifications, customer feedback, and automation. He sees AI-enabled product management as a growing career direction.

Career choices, job search, and networking

• Choose a sector and build relevant skills. Rather than trying to be prepared for every role, Maheshwari recommends selecting an industry of interest—such as D2C—and learning about its companies, customers, and problems.
• Make job applications specific. His suggested playbook:
  1. Research a target company and identify concrete problems in its product, marketing, or customer experience.
  2. Develop one or two practical solutions, such as a sample ad, revised web experience, or short proposal.
  3. Package the work as an MVP, deck, or PDF, and contact the founder or hiring team with evidence of the value you could provide.
  4. Treat the search as a funnel: expect many applications and outreach attempts to produce a smaller number of interviews and offers.
• Use numbers to set expectations. From his own job search, Maheshwari reports applying to around 300–350 companies, reaching out to roughly 50–70, interviewing with 25, and receiving four to five offers. He presents this as his experience, not a universal conversion rate.
• Network through useful participation. Attend relevant industry events, join communities, build small projects, and maintain professional relationships over time. He emphasizes that relationships can create access and provide support when opportunities arise.
• Consider non-coding pathways. He mentions product analyst, marketing associate, social media, influencer marketing, business analyst, and sales roles. For some analytical or product roles, he recommends learning SQL and being able to query data and produce reports.
• Show value, not just credentials. His advice to applicants is to avoid generic requests for a job and instead demonstrate that they understand a company’s needs and can contribute.

MBA decision-making

Mahesheshwari describes three common reasons to pursue an MBA:

1. Compensation or career progression
2. Intellectual stimulation or a change in direction
3. Access to a stronger professional network

• Evaluate the full cost and the specific benefit. His own one-year ISB program cost about ₹35 lakh, plus foregone salary. He estimates the overall opportunity cost at roughly ₹70–80 lakh or close to ₹1 crore, depending on how foregone earnings are counted.
• He chose ISB after working in industry and deciding he wanted to move toward marketing and brand-building. He says the network and opportunities were important to him, not just classroom learning or placement.
• He recommends judging an MBA by fit and return, rather than assuming any degree guarantees a career outcome. He also suggests comparing program fees with median salary outcomes, while noting that school rankings and “tier” labels are subjective.
• He advises people with family financial responsibilities to plan ahead before taking on the cost or leaving a job.

Product management and organizational leadership

• Maheshwari characterizes product management as stakeholder management: aligning developers, marketers, customer support, and other teams around what to build, for whom, and how to deliver it.
• As AI tools reduce or change some tasks, he expects product managers to be responsible for more end-to-end work and for ensuring that automated systems produce useful results.
• His management approach centers on work quality and output, rather than attendance rituals or performative deference. He also stresses that output must be achieved ethically.
• He argues that managers need to adapt how they lead newer employees: provide autonomy and space, build trust, and adjust communication to the team rather than relying on authority alone.
• He observes that younger employees may expect faster progress and can be less patient, while also describing them as adaptable and capable of learning quickly. These are his personal observations, not a universal rule about generations.

Startup validation and funding

• Start with customer research, not a funding target. Maheshwari recommends researching the market, identifying what makes the offering different, and evaluating the idea from the customer’s perspective.
• Validate with the target segment. In his example of a portable, convenient protein product, he suggests showing an early product concept to 400–500 potential customers, such as gym-goers and working professionals. Use feedback on issues like packaging, size, and usability to revise the product.
• Build an MVP and seek evidence of demand. Funding is more credible when a startup can show users, customer feedback, revenue, or early product-market fit than when it has only an idea.
• Think in terms of runway and milestones. He describes early angel or seed capital as funding that can help a business operate for roughly five to seven months or longer, depending on the amount and costs. Later rounds should follow evidence of traction and the startup’s maturity; he mentions having around 1.5–2 years of runway as a consideration for a Series A stage.
• Funding is not the finish line. Maheshwari warns founders against treating a raise as proof that the business is established. After raising, the focus remains on growing the company and using capital responsibly. Founders should also plan personal compensation around their financial needs and the company’s stage.

Metrics and timelines mentioned

• 13 years: Maheshwari’s reported corporate experience.
• ₹35 lakh: Approximate cost of his one-year ISB program at the time.
• ₹70–80 lakh, potentially close to ₹1 crore: His estimate of total MBA cost when including foregone earnings.
• 300–350 applications, 50–70 outreach attempts, 25 interviews, four to five offers: His personal job-search funnel from an earlier search.
• 400–500 potential customers: Suggested scale for early customer conversations in his product-validation example.
• Five to seven months: Example of the early operating runway seed or angel funding might provide.
• 1.5–2 years: Runway he cites as a possible consideration around Series A.
• Five to six years: Maheshwari’s personal forecast of a challenging period for workers who do not adapt to AI; this is his opinion, not a measured KPI.

The conversation also briefly turns to investing. Maheshwari’s high-level view is to think long term, avoid trying to time markets, and be cautious about short-term trading. This is personal opinion rather than investment advice.

Presenters and sources

• Presenter/host: Shailendra Yadav
• Guest/source: Siddharth Maheshwari