After more than 30 years in cybersecurity, Keith Jones recently realized his role had transformed. He was no longer a single contributor but a manager of a fairly large team—except his team wasn't human. By accelerating his use of AI tools, he offloaded basic tasks and focused on bigger-picture work. "It really feels like I have a team behind the scenes, but what I have is Claude," says Jones, a cybersecurity researcher. "Now I can sit back and say, 'Give me three different ways to solve this problem.'"

Most tech workers, like Jones, have had to figure out how to work with AI. While it boosts productivity and takes over repetitive tasks, it also creates new stress and mental exhaustion. So what can you do about the heavier mental load and job security worries? AI users and analysts offer specific strategies.

## Combating the slop factor

AI-generated output can be low-quality, buzzword-heavy, and generic—known as "workslop"—or outright fabricated, called "hallucinations." Using this bad data leads to bugs and liabilities. "Don't believe the machine is infallible," warns Craig Shue, computer science professor at WPI. Here's how to fight back:

- **Make AI show its work:** Ask it to cite sources or explain reasoning. Example prompt: *Explain the logic and show the steps before writing the code.*
- **Give AI a source of truth:** Provide exact source material and instruct it to use *only* that information.
- **Validate. Validate. Validate:** Never let AI publish code directly without reviewing and running it locally. Every output needs review.
- **Don't be fooled by confidence:** Question the output, especially when you're busy or tired.

## Taking on AI-driven workload creep

AI's promise of saving time often backfires, creating new workloads. In an Upwork study, 77% of employees said AI increased their workload, and 88% of high-productivity workers felt burned out. To combat this:

- **Keep it short:** Always tell AI to be concise.
- **Build an anti-slop culture:** Don't pass on workslop to colleagues.
- **Filter the noise:** Prioritize radically when everyone's AI output floods Slack and memos.
- **Manage the transcript deluge:** Prompt for concise summaries focused on deliverables.
- **Reduce the AI blast radius:** Instruct AI to isolate changes to specific functions or files.

## Managing the AI mental tax

Juggling multiple AI tools causes decision fatigue and errors—a phenomenon called "AI brain fry." To protect your focus:

- **Work in batches:** Dedicate blocks of time to interact with AI, not continuously.
- **Create analog islands:** Take breaks from screens, like a 15-minute walk or reading a book.
- **Know when to step in:** Manually write or refactor the final 20% instead of endlessly tweaking prompts.
- **Create base prompts:** Build reusable system prompts for common tasks like refactoring code or drafting docs.

## Proving your human value in a new job market

With AI filtering resumes and shifting job requirements, your job search strategy must evolve. Leo Freitas, IDC analyst, says, "You need demonstrable achievements. It's good to show highly human skills."

### For your resume:
- **Mirror their language:** Use exact keywords from the job description.
- **Keep it simple:** Use standard headers like "Experience" and "Education."
- **Avoid AI writing:** Edit until it sounds authentically human.
- **Swap responsibilities for metrics:** Tie bullet points to business outcomes.

### For the interview:
- **So, how do you use AI?** Explain your judgment: what you automate and what you don't.
- **Show that you're a gatekeeper:** Demonstrate how you audit and verify AI output.
- **Focus on learning:** Emphasize adaptability over specific tool expertise.
- **What sets you apart from a machine:** Show creativity, collaboration, and problem-solving with metrics.
- **Demonstrate that you know the limits:** Know when not to use AI without heavy review.

## Future-proofing your career in a shifting tech market

Fear of AI-driven layoffs is real, but analysts say it's overblown. Still, self-assessment is key. Here's how to stay relevant:

- **Use this technology to your advantage:** Treat AI as a tool to make you better and faster.
- **Don't bury your head in the sand:** If your role is highly automatable, consider shifting to more advanced or human-in-the-loop roles.
- **Take ownership of your career:** Seek courses, certifications, and employer training.
- **Work with the business side:** Understand business goals and be the bridge between tech and business.
- **Highlight your in-house expertise:** Use your institutional knowledge openly.
- **Push the business forward:** Think about the next app or system that propels the company.
- **Continue to adapt:** Stay curious and keep learning.

## More on AI in the workplace

- [Burned out by bots: The rise of prompt fatigue](https://www.computerworld.com/article/4047909/burned-out-by-bots-prompt-fatigue-in-workplace.html)
- [The AI tech job slaughter gets real](https://www.computerworld.com/article/4175956/the-ai-tech-job-slaughter-gets-real.html)
- [Increased AI expectations without guidance leads to employee burnout](https://www.cio.com/article/4159631/increased-ai-expectations-without-guidance-leads-to-employee-burnout.html)
- [‘Botsitting’: The AI time-savings killer only governance can stop](https://www.cio.com/article/4188575/botsitting-the-ai-time-savings-killer-only-governance-can-stop.html)
- [Top AI certifications that will get you hired and promoted](https://www.computerworld.com/article/4049928/top-ai-certifications-that-will-get-you-hired-and-promoted.html)
- [How to curb hallucinations in Copilot (and other genAI tools)](https://www.computerworld.com/article/4067372/how-to-curb-hallucinations-in-copilot-and-other-genai-tools.html)

A tech professional's guide to protecting your job, beating burnout, and managing the machine.

Surviving the AI Revolution: A Tech Worker's Survival Guide

While much of the global technology industry continues to announce layoffs, two of the world's biggest winners from the artificial intelligence boom are still hiring aggressively in Israel.

Palo Alto Networks and Nvidia Israel continue to recruit hundreds of engineers and researchers even as thousands of technology workers lose their jobs elsewhere. But executives at both companies say the AI revolution is fundamentally changing the type of talent they seek, the skills engineers need, and even the definition of traditional technology roles.

Rather than reducing demand for engineers, they argue, AI is shifting where that demand lies. The companies are looking for developers who can work alongside AI systems, critically evaluate AI-generated output, and adapt continuously as new tools emerge.

![NVIDIA offices in Yokneam (right), Palo Alto offices in Santa Clara, California](https://pic1.calcalist.co.il/picserver3/crop_images/2026/07/30/S1Qgctdrfe/S1Qgctdrfe_0_0_1500_971_0_x-large.jpg)

## Palo Alto Networks: Adaptability is Key

"The problems we need to solve haven't disappeared, in fact, AI has created entirely new ones," says Galia Eckstein, Head of People at Palo Alto Networks in Israel.

"AI can replace certain standalone software capabilities, forcing companies to rethink their business models and become more efficient. But it is also creating entirely new cyber threats that require new approaches to security, monitoring, threat detection and real-time response."

Israel has become one of Palo Alto Networks' largest development hubs, a position strengthened further by its acquisition of CyberArk.

"We're in a period of significant growth," Eckstein says. "We're continuing to expand our engineering organization, and today we have more than 200 open positions across multiple disciplines."

Around 75% of those roles are in software development, with additional hiring across cyber research, product management and DevOps.

"The AI revolution is naturally changing our products," she says. "Like every technology company, we're going through this transformation ourselves. But we still have a tremendous amount to build, and we need outstanding people who can help us develop the next generation of security technologies while making intelligent use of AI."

The biggest change, Eckstein says, is not necessarily technical knowledge but **adaptability**.

"There are always early adopters, people who immediately embrace new technologies, and there are others who take longer," she says. "Today, that has become part of our hiring process. We want to understand not only what candidates know today, but how quickly they learn."

Employees are expected to use both commercial AI tools and internal systems developed by Palo Alto Networks.

"We're interested in people who are naturally curious and willing to experiment."

Are you looking for qualities that weren't required before the AI revolution?

"It's still too early to say there's a single playbook," Eckstein says. "We're all learning as the technology evolves.

"What hasn't changed is the need for deep engineering knowledge. Candidates still need to understand architecture, infrastructure and how products are built. But they also need to know how to work effectively with AI systems, how to write good prompts, evaluate AI-generated results and integrate these tools into their workflow.

"The emphasis has shifted. Technical depth is still essential, but now we also value people's ability to adapt to a rapidly changing technological environment."

![Galia Eckstein](https://pic1.calcalist.co.il/picserver3/crop_images/2026/07/30/SJmGUFuBMl/SJmGUFuBMl_0_0_1600_901_0_x-large.jpg)

Ori Kotler, Senior Vice President of Engineering at Palo Alto Networks, says AI literacy has quickly become a competitive advantage.

"Developers who treat AI as a natural part of the way they work already have an advantage," he says.

"Understanding AI isn't enough. You need the judgment to review what AI produces, identify mistakes and improve the output. Those critical thinking skills are becoming increasingly important."

Beyond hiring engineers, Palo Alto is also looking for what Kotler calls "technology influencers."

"We're looking for people who can drive change inside the organization, people with genuine passion for AI, deep technical understanding and the ability to spread knowledge and motivate others."

Are there roles you're no longer recruiting for?

"There are certainly tasks that AI can now perform almost entirely on its own," Eckstein says.

"That allows employees to focus on more strategic and complex work."

Quality assurance is one example.

"In the past, developers typically handed code over to dedicated QA teams. Today they're increasingly expected to take responsibility for testing their own software using AI-assisted tools and automated testing platforms.

"That doesn't necessarily eliminate QA, but it changes the role dramatically. QA professionals need broader technical skills, including software development and the ability to work with AI."

The transformation, she says, extends far beyond engineering.

"Everyone has to keep learning now."

"I've worked in human resources for 22 years, and I also have to learn how to build AI agents and rethink how I do my own job.

"If you're not learning continuously today, that's a problem."

![Ori Kotler](https://pic1.calcalist.co.il/picserver3/crop_images/2026/07/30/SyQd5tOBzg/SyQd5tOBzg_0_0_1600_901_0_x-large.jpg)

## "We're all under pressure"

The pace of change, however, is creating anxiety alongside excitement.

"It's our responsibility as employers to provide the tools and the environment that allow people to learn," Eckstein says.

"But that's not always easy. Everyone is busy delivering products while simultaneously trying to master an entirely new set of technologies.

"That naturally creates stress."

Do you actually see that stress among employees?

"We don't see elevated stress levels in our employee surveys," she says. "But we certainly hear very different reactions.

"Some people are anxious. Others are incredibly excited."

She recalls speaking with a software developer returning from maternity leave after six months away.

"I asked her what it was like to come back after everything had changed so quickly.

"She told me she was actually excited because writing code had never been her favorite part of the job. What she really enjoys is understanding the product, designing solutions and thinking strategically.

"For people like her, AI is fantastic because it automates some of the work they enjoyed least."

For others, the transition is more difficult.

"If someone's professional identity was built around being exceptionally good at writing code, and AI suddenly changes that equation, it's understandable that they'll experience uncertainty.

"Everyone now has to ask themselves a new question: What unique value do I bring?

"That's true not just for engineers, but for all professions."

AI is also creating entirely new positions inside Palo Alto Networks.

Among them are AI-focused data scientists, engineers specializing in AI systems, and employees working in the company's AI Transformation initiative, which develops internal AI tools and trains staff to use them effectively.

Despite the industry's focus on experienced AI talent, Palo Alto continues to invest heavily in university graduates.

"We've had a graduate hiring program for five years," Eckstein says.

"It's important to us to recruit talented people directly from academia, including those who didn't serve in elite military technology units."

The company hires between 30 and 60 graduates annually.

"This year alone we've recruited more than 40 junior engineers in Tel Aviv."

CyberArk's former Idaptive division, now part of Palo Alto Networks, hired another 35 junior developers for its Petah Tikva and Be'er Sheva sites, where recruits begin with an intensive boot camp before joining engineering teams.

"In Tel Aviv, graduates join teams immediately as full-time employees," Eckstein says.

"We provide training, mentoring and a strong community around them."

The approach appears to be paying off.

"Most are promoted within their first year, and our retention rate is around 90%. Some of those graduates are already leading engineering teams."

## Nvidia: "AI isn't reducing hiring, it's changing what we hire for"

Few companies have benefited more from the artificial intelligence boom than Nvidia. Its Israeli development center, built around the 2020 acquisition of Mellanox, has become one of the company's most important engineering hubs, employing more than 6,000 people across five sites.

Despite widespread layoffs across the technology sector, Nvidia Israel is continuing to expand aggressively.

"We currently have more than 430 open positions in Israel," says Yael Aviram Rosenfeld, Recruitment Director at Nvidia Israel.

"Our development center is based on the acquisition of Mellanox, whose high-speed networking technology became a critical component of modern AI infrastructure. Nvidia didn't just build the GPU that powers AI, it also built the networking technology that allows AI systems to communicate across entire data centers. That's one of the reasons we've reached where we are today."

Most of Nvidia's open roles are in engineering.

"The majority of our hiring is in hardware and software engineering," she says. "We're recruiting chip designers, architects, networking engineers, cybersecurity specialists, AI researchers and software developers."

The company is hiring across all levels, from students and recent graduates to senior engineers and managers.

Has the AI revolution changed the types of people you're looking for?

"Without question," Aviram Rosenfeld says.

"We're seeing entirely new specializations emerge around artificial intelligence."

These include AI researchers, engineers integrating AI into development processes, and cybersecurity researchers specializing in AI-related threats.

At the same time, AI's rapid growth is increasing demand for engineers who can bridge research and manufacturing.

"We're also seeing growing demand for Product Engineering roles, engineers who connect product development with the large-scale manufacturing of advanced chips and systems while ensuring quality and reliability."

The expectation, she says, extends beyond AI specialists.

"Anyone pursuing a career in engineering today should become deeply familiar with AI technologies.

"This field evolves at an extraordinary pace. New capabilities appear constantly, so continuous learning has become essential."

Are there roles that are no longer relevant?

"There hasn't been a fundamental change in the types of roles we recruit for," Aviram Rosenfeld says.

"We continue to expand our activities across many areas.

"What has changed is the nature of those roles. The skills required are evolving continuously, particularly as AI becomes integrated into more aspects of engineering work."

Rather than replacing employees, AI is becoming another engineering tool.

"We provide employees with access to the world's most advanced AI technologies and expect them to use them intelligently, responsibly and effectively.

"Ultimately, every engineer remains responsible for the products they build."

![Yael Aviram Rosenfeld](https://pic1.calcalist.co.il/picserver3/crop_images/2026/07/30/S1gmz8YuHfl/S1gmz8YuHfl_0_0_2000_1125_0_x-large.jpg)

Training has therefore become a core part of the company's strategy.

"We invest heavily in helping employees learn how to use AI effectively through dedicated training programs and learning resources."

Like Palo Alto Networks, Nvidia continues to recruit heavily from universities.

"Every year, hundreds of employees join us at the beginning of their careers," Aviram Rosenfeld says.

"They immediately become part of teams designing the technologies driving today's AI revolution."

Many remain at Nvidia after graduation.

"A large number of our managers actually began their careers here as students or junior engineers."

## Three pieces of advice for anyone looking for a tech job

After years of recruiting engineers, Aviram Rosenfeld believes the rules for succeeding in today's market are changing rapidly.

Her first recommendation is straightforward.

"Become familiar with the AI technologies available today and understand how they affect your profession."

That applies to both technical and non-technical roles.

"In every job, employers increasingly expect candidates to know these tools and demonstrate how they use them to improve productivity."

Her second recommendation is to prepare more carefully for interviews.

"Practice with friends or family members, or even record yourself.

"You should be able to explain your experience, achievements and technical skills clearly, concisely and in a way that's relevant to the position."

Finally, she emphasizes the importance of professional networks.

"It starts with maintaining an up-to-date LinkedIn profile, but it also includes participating in professional communities, WhatsApp groups, conferences and industry events."

Equally important, she says, is staying connected with former colleagues and classmates.

"A strong professional network is one of the most valuable assets you can build over the course of your career."

AI isn&#x27;t eliminating engineering jobs at two of the industry&#x27;s biggest winners, but it is fundamentally changing the skills they expect from candidates.

AI Boom Sparks Hiring Spree: Palo Alto Networks and Nvidia Expand in Israel

The European Union is facing a critical shortage of tech talent, with a new report from Eurofound revealing that the bloc is likely to miss its ambitious target of 20 million ICT specialists by 2030 by a staggering five million workers. This shortfall raises serious questions about the effectiveness of Brussels' strategies to address skills gaps, improve working conditions, and retain top talent.

Despite rapid growth in the ICT sector—expanding by 7-8% annually compared to just over 1% in the wider economy—the report highlights a fundamental mismatch: **education and vocational training systems are not producing enough skilled workers** to meet soaring demand. As a result, companies are increasingly relying on labor migration from outside the EU to fill critical roles.

Kevin Flynn, policy and communications adviser at Eurocadres, expressed frustration, stating, "The results are not surprising in the slightest." He criticized the Commission's approach, pointing out that **only one in five EU companies provided ICT-specific training for employees in 2023**. This lack of investment in upskilling leaves workers to fend for themselves, a burden Flynn deems unrealistic: "Expecting workers to find the time and money to train themselves is unrealistic."

The report also underscores a broader issue of **work-life balance**, with nearly 39.4 million European workers regularly contacted outside normal working hours. This persistent intrusion adds to the challenges of attracting and retaining talent in the tech industry.

Without urgent action to boost training, improve conditions, and foster a sustainable digital workforce, the EU risks deepening its dependence on migrant labor and falling behind in the global tech race.

As AI reshapes everything from call centres to coding, Europe’s failure to train, retain and fairly treat its native tech workers risks deepening dependence on migrant labour.

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