AI Skill Gaps: Palo Alto Networks CEO Warns of Shortage

The modern enterprise workforce is unequipped to navigate the ongoing AI revolution, according to Nikesh Arora, CTO and CEO of Palo Alto Networks. 

Speaking on an episode of the 20VC podcast, Nikesh says that 90% of enterprise employees ‘are not AI savvy’. He explains that the critical disconnect between technology and employee skills is due to a distinct lack of training courses.

Nikesh notes that his 21,000-employee workforce is responsible for its own development, adding that industries are experiencing a ‘Darwinian moment’ where companies must ‘figure out who's really good’. 

Many firms are opting for mass layoffs as opposed to addressing this AI skills gap. Nikesh directly addresses major companies like SoftBank, Coinbase and Block, which have previously cited AI as a reason for job cuts.

Selecting natural attrition over layoffs

Nikesh criticises the workforce management approach of Coinbase CEO, Brian Armstrong, and Block CEO, Jack Dorsey, as automation becomes commonplace.

He says companies like these have reduced headcount drastically ‘because they've figured out there’s no redemption’.

“They say, ‘I can’t train these people. I'm going to just find the people who are going to come in and help me do this stuff,’” Nikesh says.

Palo Alto Networks uses natural attrition to gradually replace workers over time instead of opting for mass layoffs. 

The firm has been hiring people for technical roles via hackathons. Nikesh estimates that within 12 months, the company will have transformed 20% to 25% of its entire team.

“Give me three years, I'll have hopefully enough AI savvy people working at Palo Alto,” Nikesh says.

Reflecting this optimism, the firm has seen considerable growth. The company added 5,423 total employees to its headcount from the end of fiscal 2025 to Q3 2026, according to its most recent 10-Q filing.

Marketing departments face automation under three-year rule

Despite championing workforce enhancement, Nikesh admits AI will likely determine the direction of workforce growth, even if it means reducing headcount.

He questions why a company needs hundreds of employees within certain departments, citing marketing as an example. 

Frontier models can already be used to train alongside marketing strategies to understand the voice of a company.

“My biggest problem in marketing is I have 600 people, but I'm not sure they all fully understand how to consistently deliver my tone of voice,” Nikesh says.

His rule of thumb dictates that within the next three years, companies will likely have 'half of the people' in roles like marketing, HR and finance. Advanced AI applications will automate the work of these departments.

Nikesh already has employees who want to use AI resources to enhance marketing and HR departments. 

He dismisses employment anxieties, explaining that workers are actively seeking more technical assets.

“I think there's this fallacy people believe we're going to have less people working because AI is going to take over our jobs,” Nikesh says. 

“I don't believe that. I think what's going to happen is you can't imagine the number of people on my team who want more technical resources, more AI-savvy resources because they want to do exactly these things.”