Hiring for AI Skills as an SME: Upskill, Partner or Pay Up?

Large Indian IT companies are bidding hard for AI talent. News reports earlier this year said HCLTech would offer up to ₹22 lakh a year to elite AI-ready freshers, and other reports mentioned packages of up to ₹55 lakh at some firms. Headlines in October also pointed to a tougher market for graduates in some countries and warnings about AI's effect on hiring. If you run a small or mid-sized business, you will not win a salary war. You do not need to.

What you probably need

Most SMEs do not need AI researchers. They need people who can:

• Pick sensible AI use cases
• Write clear instructions and test results
• Connect AI tools to existing systems
• Check outputs for errors and risk
• Train colleagues and manage change

Those skills can be grown inside a business or bought in as a service.

Four practical routes

1. Upskill your existing team Your staff already know your customers, products and processes, which is hard to hire. Give them time and structure to learn:

• Pick a small group of "AI champions" from operations, sales, finance and support
• Set weekly practice on real tasks
• Share prompts and results in a team library
• Reward saved time and better quality, not tool usage alone

2. Hire for fundamentals and curiosity Instead of chasing "AI specialist" labels, hire people with strong problem-solving, data handling, writing and software basics. Test them with a small real task, such as improving a workflow with AI tools.

3. Partner with an agency or specialist For build-heavy work such as chatbots, agents, ERP automation or integrations, working with a team that does this daily is often faster and cheaper than hiring one expensive person. Make sure the arrangement includes documentation and a handover so you are not dependent on one vendor.

4. Use freelancers or part-time experts Bring in an expert for a defined project, such as a data clean-up or a pilot, and keep the knowledge in-house.

Mix and match

A common pattern: an agency builds the first system, your AI champions run it day to day, and one technical hire grows into the owner role over time.

Build the foundations

AI tools do not fix messy data and unclear processes. Before investing in people, write down your key workflows, clean your data and set simple rules for AI use.

Retention matters too

• Offer growth paths, interesting problems and fair pay
• Give people time to learn
• Recognise results publicly
• Avoid overloading your one "AI person"

Measure the outcome

Track hours saved, errors reduced, response times, revenue influenced and employee confidence, not only the number of AI tools in use.

Beware of hype

Be sceptical of candidates or vendors who promise to "transform" everything. Look for specific examples, honest limits and references.

How KalzTech can help

We build AI integrations and train teams to use them safely. Talk to us about a pilot that grows your in-house skills while we handle the heavy lifting.