Meta Now Lets Candidates Use AI in Interviews — Is This the New Normal for Hiring?

Your last interview probably banned AI tools. Your next one might require them.

Meta is piloting a new interview format where candidates use AI assistants throughout the session. Not as a test to see if AI helps—as the new standard for evaluating talent. The evaluation shifted from "solve this alone" to "solve this with the tools you'll actually use on the job."

This isn't a tech experiment. It's happening across industries, and most candidates have no idea.

AI went from banned to required — in less than a year

The numbers tell the story: 99% of hiring managers now use AI in their hiring process. By end of 2025, 68% of companies will integrate AI directly into candidate evaluation—up from 51% just months ago. Google plans to roll out AI-enabled interviews "aggressively" for all engineering roles. Rippling already allows candidates to use ChatGPT and GitHub Copilot in coding interviews. 30% of technical interview loops now encourage AI usage.

The shift isn't "some companies are experimenting." The shift is "most companies are implementing."

Tech moved first, but finance, consulting, marketing, and healthcare are watching closely. If your job involves AI-assisted work, your interview will eventually test AI collaboration. The only question is when.

They're not testing if you can code — they're testing if you can work with AI

Traditional interviews tested whether you could perform tasks solo. That assumption is dead. Modern work involves constant AI collaboration—research, analysis, document generation, strategic planning. Companies adjusted what they test.

AI-enabled interviews now evaluate:

• Can you prompt effectively under pressure? Generic questions waste time. Targeted prompts get results.

• Can you spot AI errors quickly? AI output often contains subtle bugs you need to catch in real-time.

• Can you integrate AI suggestions strategically? Knowing what to use, modify, or discard matters.

• Can you explain solutions you didn't write from scratch? You need to articulate trade-offs and demonstrate understanding.

These skills are completely different from traditional interview prep. And they're exactly what the job requires.

The preparation gap is your opportunity

Here's what most candidates don't realize: having access to AI doesn't mean you're prepared to use it effectively under interview pressure. Companies changed their evaluation criteria, but most preparation strategies haven't caught up.

Traditional prep focused on memorizing frameworks and practicing problems solo. AI-enabled interviews require:

• Prompting effectively when stressed and timed

• Spotting errors in plausible-looking AI output quickly

• Integrating AI suggestions while maintaining clear thinking

• Explaining trade-offs in solutions you didn't write entirely yourself

30% of interview loops already allow AI—and that percentage grows weekly. The gap between "AI is allowed" and "I'm ready to use AI effectively" is where your opportunity lives. The advantage isn't better AI tools (everyone has access). The advantage is building fluency with AI collaboration under interview conditions before you need it.

Industry leaders are shifting now. When Meta and Google change their processes, everyone else follows. By the time AI-enabled interviews become standard at your target companies, you'll compete against candidates who've been practicing for months.

The optimal time to prepare was six months ago. The second-best time is now.

Why we built Verve AI for exactly this moment

We built Verve AI because we saw this shift coming. Companies would move from prohibiting AI to testing AI collaboration skills. Candidates needed practice in realistic conditions.

Verve AI provides:

• Automatic question detection — instantly recognizes interview questions as they’re being asked.

• Real-time support — structured frameworks, examples, and talking points delivered the moment you need them.

• Live coding assistance — one click to capture any coding prompt and generate accurate solutions during a live coding task.

• Flexible model options — choose from multiple AI models based on speed, accuracy, and depth.

Candidates who adopt these tools consistently perform better in AI-enabled interviews — not because they rely on the AI, but because they become more skilled, more structured, and more confident in high-pressure environments.

Start using with AI today or fall behind tomorrow

Assume your next interview will involve AI. Either companies explicitly allow it, or they've designed problems expecting you'll use it. The evaluation criteria changed. Your preparation needs to change too.

If you've been preparing the traditional way—practicing solo without AI—you're training for a disappearing format. Start practicing with AI under timed conditions. Build error detection instincts. Develop explanation fluency.

The problems get harder when companies assume you have AI help. The candidates who adapt first have the advantage. The candidates who wait will compete against people who've been preparing for months.

Your next interview might be the first where AI collaboration matters more than solo performance. The question is whether you'll be ready.

Sources

1. Meta AI-enabled interviews: Koebler, J. (2025). "Meta Is Going to Let Job Candidates Use AI During Coding Tests." Wired.

2. AI adoption statistics (43% in 2025, up from 26% in 2024): "AI Adoption in Recruiting: 2025 Year in Review." HeroHunt AI, November 2025.

3. Hiring manager AI usage (99%): "Insight Global's 2025 AI in Hiring Report." Insight Global partnered with Atomik Research, surveying 1,005 hiring managers, November 2024.

4. Company integration plans (68% by end of 2025): "Survey: Majority of Firms to Adopt AI in Their Hiring Processes in 2025." Resume Builder survey of 948 business leaders, October 2024.

5. Technical interview loops allowing AI (30%): Novati, S. (2025). "How Technical Interviews Are Evolving with AI." Formation.dev.

6. Google AI-enabled interview pilots: Lerner, A. (2025). "How is AI changing interview processes?" Interviewing.io.

7. Rippling's AI-allowed coding rounds: Novati, S. (2025). "How Technical Interviews Are Evolving with AI." Formation.dev.