NLP UK Training Podcast
NLP UK Training Podcast

Eight Hours - What Could You Do With the Time Your Phone Steals?

08 June 2026 8:08 Quality Culture

Listen to episode

About this episode

“Eight hours of my time last week. What else could I be doing with that?”

Welcome back to the NLP UK Training podcast! Hosted by NLP Trainers Steve Kay and Kali Fraser from NLPUKTraining.com – a leading provider of NLP Practitioner and Master Practitioner certification in the UK.

In this episode, Steve and Kali pick up where the last one left off and turn the spotlight from connection back to the question we’d rather not answer: how much time is your phone actually taking from you? It starts with their podcast recordist Carl showing Kali the screen time setting on her iPhone that morning. Kali confidently guessed a couple of hours a week. The real number? Eight hours. In a single week. Steve, smugly, had his screen time tracking switched off – so he gets a free pass for now, but admits he probably wouldn’t fare much better.

From that one number, the conversation opens up into something bigger. How often do we tell ourselves we “haven’t got time” to learn something new, look for a different job, paint the spare room, do a course, get coaching – while a quiet eight hours a week disappears into scrolling we barely remember?

Steve and Kali run the maths (kind of) and the point lands: eight hours a week, every week, for a year, is not a small chunk of life. What could you write, walk, learn, finish, or simply enjoy with that time back?

The second half gets into the NLP of it. Because we are, as Kali puts it, a bunch of habits – strategies running on autopilot, including the morning grab-the-phone reflex that eats ten minutes before you’ve even stood up. NLP can’t fix that on its own. As Steve puts it, it’s like learning a musical instrument: there’s no point knowing the technique if you never pick it up and play.

They introduce the idea of a pattern interrupt – deliberately replacing one habit with another – and share a lovely tip Kali picked up somewhere: look at some sunshine before you look at your phone in the morning. Open the curtains, step outside, get the natural dopamine hit before the digital one. Steve, fairly, points out this is harder in Manchester in winter.

The point still stands: small interrupts, repeated, quietly change everything. If you’ve been telling yourself you don’t have time for the thing you actually want – check your screen time, and then decide what to do with what you find.

In this episode, Steve and Kali discuss:

  • Carl’s iPhone screen time suggestion – and Kali’s eight-hour shock
  • Why “I haven’t got time” usually isn’t true
  • The maths nobody wants to do: eight hours a week, multiplied across a year
  • Why NLP only works if you actually apply it (the musical instrument analogy)
  • The “pattern interrupt” – a simple NLP tool for breaking habits
  • A morning experiment: sunshine before scrolling
  • Why we are, fundamentally, a collection of habits – and the ones we choose

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 NLP UK Training Podcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.