This is the second article in our series for graduates starting a technology career in a slower hiring market. The series is for people heading into software, hardware, and computing roles, whatever engineering branch you studied. It does not cover the core non-computing streams such as mechanical, civil, or chemical engineering, which sit outside the area TECH VEDA works in and can advise on honestly. The aim throughout is to help you decide where to invest your limited time on skills likely to stay valuable over the coming years.
The first article, Where to Begin, explained what changed in entry-level hiring and named the durable domains worth focusing on. This article takes the next step. It explains the new entry bar: what it means to be useful from day one, and how that bar differs across those domains.
The bar has moved from trainable to useful from day one
For two decades the standard fresher deal in Indian technology was simple. A company hired in bulk, trained graduates for a few months, and slowly handed them real work. That deal is changing, because the simple early tasks it relied on are the tasks AI now does.
The scale is measurable. A June 2026 study by Cognizant and Pearson, surveying 750 HR leaders across the United States, United Kingdom, and India, found that AI already performs about 37 percent of entry-level tasks in India, ahead of the 33 percent global average. Around 18 percent of those leaders said AI now handles half or more of entry-level work. The routine bottom rung of the ladder is the part that automation reached first.
This is not the same as freshers being unwanted. The same study found 94 percent of HR leaders expect AI to create new entry-level roles within five years, and Cognizant itself hired 20,000 fresh graduates in 2025 and expects to exceed that in 2026. Companies still hire freshers; they have changed what a fresher is hired to do. The work that remains needs judgment, verification, and an understanding of the system underneath, not routine task execution at volume.
There is an encouraging side to this. The ETS and Wheebox India Skills Report 2026 found that overall graduate employability in India rose to 56.35 percent, up from 54.81 percent the year before. Graduates who build genuine, demonstrable skill are crossing the bar. The bar is higher, but it is being cleared by people who prepare for it deliberately.
What “useful from day one” actually means
Being useful early is not about knowing everything. It means you can be handed a small, real piece of work and make honest progress without constant supervision. In practice it rests on four capabilities.
Working fundamentals. You can read existing code or a hardware datasheet, set up your own environment, and find your way around a system you did not build. Most real work begins by understanding something that already exists, not by writing from a blank page.
Judgment about AI output. The Cognizant and Pearson study found that 97 percent of HR leaders now say human skills such as problem solving and judgment matter more than ever, precisely because someone has to check what AI produces. A fresher who can spot when a generated answer is wrong is worth more than one who passes it along untested.
The habit of verifying your own work. Testing a change, reproducing a result, and confirming a fix instead of assuming it. Verification is the skill that separates someone who finished a task from someone who only thinks they did.
Plain communication. The ability to explain what you did, what you found, and where you are stuck. A junior engineer who can describe a problem clearly is far easier to help and to trust with the next task. The same study links this to the rising value employers place on broad, interdisciplinary backgrounds.
One number frames why these matter more than any single tool you might learn. The World Economic Forum’s Future of Jobs Report 2025 found that employers expect 39 percent of workers’ core skills to change by 2030. Specific tools will keep shifting; the ability to learn a system, judge output, verify, and communicate is what stays useful through that change.
The bar looks different across the durable domains
“Useful from day one” is not one fixed checklist; it means something specific in each field. The durable domains the series recommends all reward depth, which is exactly the thing that is hard to automate. Here is what early usefulness concretely looks like in each.
- Embedded systems, Linux, and firmware. You can cross-compile a kernel, bring up a board, read a device tree, and use basic tools such as
dmesg,gdb, and a logic analyser to find why something does not boot. The work depends on specific hardware behaviour and real debugging, which is why it resists automation. This is TECH VEDA’s own field, offered as one option among several, not the only one. - Semiconductor and VLSI. Comfort with a hardware description language, running a simulation, and reading a timing report, rather than only passing a digital-design exam. Early value here is being able to verify a block, not just describe one.
- Cloud, DevOps, and SRE. You can containerise a small service, write a basic deployment pipeline, and read logs and metrics to explain a failure. Every product company has to operate its systems, so hands-on operability is the skill that gets noticed.
- Data engineering and applied AI/ML. Building and operating data and model pipelines, validating outputs, and handling messy real data. Using a model as a user is common and not a job by itself; building and checking the system around it is the durable skill.
- Cybersecurity. Understanding how a system can fail and being able to reason about and reproduce a vulnerability safely. Useful early means you can investigate a weakness methodically, not just name attack types.
- Networking and telecom. You can trace how packets move, capture and read traffic, and reason about why a link behaves the way it does. It is specialised, steady, and frequently overlooked by graduates, which can make it less crowded.
The shared point across all six is that each rewards understanding the layer below the surface. That depth is what makes a junior person useful from day one, and it is the part AI tools assist with but do not replace.
Use AI as a tool you supervise, not a substitute for understanding
Employers are not asking freshers to avoid AI. The Cognizant and Pearson study found that 96 percent of HR leaders expect entry-level roles to evolve into positions where a junior person supervises and checks AI output within five years, and that 91 percent of organisations in India now value AI skills even for non-technical roles. The skill employers want is using these tools well while still knowing whether the result is correct.
The line to hold is simple. If you let a tool produce something you cannot read or explain, you have not become useful; you have only hidden the gap in your understanding. Use a tool to move faster on work you understand and can verify, and learn your domain deeply enough that you remain the person who decides whether the output is right. That is exactly what being useful from day one now asks for.
Key takeaways
- The fresher bar has shifted from “trainable later” to useful from day one, because AI now performs roughly 37 percent of entry-level tasks in India.
- Companies still hire freshers, but for judgment, verification, and supervision of AI output rather than routine task execution.
- Early usefulness rests on four capabilities: working fundamentals, judgment about AI output, the habit of verifying your own work, and plain communication.
- These capabilities outlast specific tools: employers expect 39 percent of core skills to change by 2030, while graduate employability in India has still risen to 56.35 percent for those who prepare.
- What “useful” looks like differs by domain, but every durable domain rewards understanding the layer below the surface, and AI is a tool you supervise rather than a substitute for that understanding.
Further reading
- 37% of Entry-Level Tasks in India Already Done by AI — Cognizant and Pearson (June 2026)
- Skills Outlook: 39% of core skills expected to change by 2030 — WEF Future of Jobs Report 2025
- India’s employability rises to 56.35% — India Skills Report 2026 (ETS & Wheebox), via The Times of India
- Your Tech Career After College: Where to Begin — the first article in this series
- TECH VEDA: Linux Systems Engineering training, if the embedded and systems domain is the one you choose.
The next article looks at how to show your work: building visible proof of skill that gets a fresher noticed, rather than relying on marks alone.
