Latest / AI Fire Daily / #581 Neil: Agent Plugins Bring Portable Workflows Across AI Agents

Transcript

#581 Neil: Agent Plugins Bring Portable Workflows Across AI Agents · AI Fire Daily

• 0:00
  Welcome to the deep dive. You know that old joke,
• 0:02
  right? The one about entry level jobs requiring
• 0:05
  like five years of experience. Well, it's not
• 0:07
  a joke anymore. It is the new reality of the
• 0:10
  AI era. Yeah, it really is. And we're glad you're
• 0:13
  joining us today because we are unpacking some
• 0:16
  fascinating new data from PwC. It's incredible
• 0:20
  data. really eye -opening stuff. It is. It reveals
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  a massive splitting of the labor market. And,
• 0:25
  you know, this isn't your standard doomsday story.
• 0:28
  We aren't just saying AI takes everything. Right.
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  It's not that simple. No, it's actually a much
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  more uncomfortable truth. The hiring bar is just
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  skyrocketing for beginners. It's an unprecedented
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  shift. I mean, the baseline expectations have
• 0:40
  just completely moved overnight. So we're going
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  to map this out for you today. We need to understand
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  that this changing market, because AI is raising
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  the cognitive floor. Completely raising it. Yeah.
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  What it means to be a beginner has totally changed.
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  And this forces us to completely rethink our
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  approach, how we pitch ourselves to employers.
• 1:00
  The old playbook just doesn't work. You absolutely
• 1:03
  need a new strategy today. Exactly. So here is
• 1:06
  the roadmap for this deep dive. First, we'll
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  explore the two -track labor market. Then we'll
• 1:13
  look at the seniorization of entry -level jobs.
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  We'll dig into a massive 45 -point data gap.
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  That gap is wild. It really is. And finally,
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  we'll cover the exact skills you need. Plus,
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  we'll share some actionable prompts to help you
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  survive this shift. Oh, those prompts are going
• 1:29
  to be absolute lifesavers for you. For sure.
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  So let's start by mapping the current battlefield.
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  We're seeing a clear two -track labor market
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  emerge. Yeah, the AI job market is fundamentally
• 1:39
  splitting. It's heading down two very distinct
• 1:41
  paths right now. The PwC report highlights this
• 1:45
  fascinating divergence. On one side, jobs with
• 1:48
  high AI exposure are growing. Rapidly growing.
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  But the hiring bar is getting much, much higher.
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  Right. And then on the other side, traditional
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  entry -level roles are just shrinking. The demand
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  for simple repetitive tasks is falling drastically.
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  It's a total structural change. It's like a train
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  track suddenly splitting. One path goes straight
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  up a steep mountain. And the other just goes
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  right off a cliff. Exactly. It's like the difference
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  between flying a plane and air traffic control.
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  AI is flying the plane now. The junior employee
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  has to sit in the tower. That is a fantastic
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  analogy. You have to manage the airspace instead.
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  Right. People used to think all jobs move together.
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  You know, rising tide lifts all boats. That just
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  isn't true in this new economy. No, it's not.
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  You can't just ask if AI will take your job.
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  You have to ask how AI is fundamentally changing
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  it. But, I mean, hasn't technology always changed
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  jobs? Think about spreadsheets replacing physical
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  ledgers. How is this AI shift actually any different?
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  It's a great question. The real difference is
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  the speed and the cognitive nature of it. A spreadsheet
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  just makes math faster. Right. It just crunches
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  the numbers. Exactly. But AI actually mimics
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  reasoning. It does basic decision making. It
• 2:58
  changes the core mechanism of the job itself.
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  So it's not just doing the work faster. It's
• 3:02
  doing a totally different kind of work. Precisely.
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  You might see plenty of job openings out there.
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  Yeah. But. the skills inside the description
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  are suddenly advanced. They read like senior
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  roles. Yeah, they're much harder than the entry
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  -level label suggests. The verification of work
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  is the new bottleneck. Meaning companies aren't
• 3:21
  struggling to generate work anymore. They're
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  struggling to verify and act on it. Yes, and
• 3:26
  that requires a totally different mindset. You
• 3:28
  are still a beginner on paper, but the expectations
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  are completely different now. So is this just
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  basic automation removing the grunt work? No,
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  it's completely raising the baseline cognitive
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  floor for every beginner. Since the cognitive
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  floor is officially raised, what does a beginner
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  actually look like now? It's a whole new species
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  of worker, honestly. We really need to understand
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  this new expectation. Which brings us to a concept
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  from Michael Taiwo. He calls it the seniorization
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  of entry -level jobs. Seniorization, I love that.
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  It's such a brilliant term for this phenomenon.
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  It really fits perfectly. Because PwC found something
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  truly staggering in their data. AI exposed entry
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  -level roles are evolving incredibly fast. They're
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  seven times more likely to require senior skills.
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  Seven times. That is a massive jump in baseline
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  expectations. It changes the entire hiring dynamic.
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  You apply for a role labeled as entry -level,
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  but the company expects you to think like a seasoned
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  veteran. We should probably break down those
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  specific senior skills. The first major skill
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  is judgment. Crucial. You need to know when AI
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  makes sense. And you must know when it's hallucinating,
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  which means the AI just confidently makes up
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  false information. Right. You have to act as
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  the senior editor. You can't just blindly accept
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  the first draft anymore. I have to make a vulnerable
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  admission here. I still wrestle with prompt drift
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  myself. Beat. That's when AI responses slowly
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  steer your original thinking off course. I find
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  myself just losing my own judgment. The AI just
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  sounds so incredibly confident. It's really hard
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  to push back sometimes. It honestly happens to
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  all of us. The AI is engineered to be incredibly
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  persuasive. It really is. But that is exactly
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  why employers desperately need human judgment.
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  Now, the second senior skill is leadership and
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  creativity. Meaning making stakes -based decisions.
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  Exactly. You have to make states -based decisions
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  every single day. You have to step up when the
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  standard AI process just fails. You have to find
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  a completely new solution. The usual automated
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  process isn't enough anymore. The simple, predictable
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  work is totally automated now. So the task's
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  left for humans. They require deep, nuanced creativity.
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  And the third critical skill is human interaction.
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  Yes. You still need to communicate and persuade
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  real people. You have to handle deeply nuanced
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  human situations. Empathy is notoriously harder
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  to automate. You have to manage the messy human
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  elements of the job. There's a real irony here,
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  though. How so? Well, those basic tasks used
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  to be the training ground, summarizing documents,
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  writing first drafts, pulling basic data. That
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  was how you actually learn the business. Right.
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  It was the traditional apprenticeship model.
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  Yeah. Now the AI handles almost all of that.
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  Junior employees must deal with much harder tasks
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  earlier. You have to instantly check the output
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  quality. And choose the better strategic direction.
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  Exactly. You make decisions when the answer isn't
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  clear at all. That is what entry level actually
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  means today. You're brand new to the job, sure.
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  But you need skills that usually take years to
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  develop. It's a lot of pressure. Can companies
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  actually expect a 22 -year -old to have seasoned
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  judgment? They have to, because the AI is already
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  doing the 22 -year -old's old job. To prove this
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  isn't just a wild theory, we need to look at
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  the hard numbers. The numbers don't lie. No,
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  they don't. We need to see the corporate logic
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  driving this shift. There's one number from the
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  PwC report that really stands out. Yeah, if you
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  only remember one number today, make sure it
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  is this specific statistic. Since 2019, seniorized
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  entry -level roles grew 35%. 35%. Yeah. Meanwhile,
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  standard entry -level roles fell by 10%. That
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  is a massive 45 point data gap. It shows a definitive,
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  undeniable shift in the market. Companies are
• 7:16
  restructuring their entire workforce based on
• 7:19
  this logic. They aren't just firing junior staff
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  randomly. They are strategically reallocating
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  their capital. Because AI drops the cost of routine
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  analysis to near zero. The corporate incentives
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  have totally changed. Completely. They need roles
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  where AI heavily supports the work. But humans
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  take ultimate responsibility for the final results.
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  The financial services sector is a perfect example
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  of this. Oh, absolutely. A junior analyst used
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  to spend 80 % of their time pulling data. They
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  were just, you know, building basic financial
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  models. Now AI agents do all that routine training
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  work. new workers jump straight to high -value
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  strategic tasks. They skip that traditional learning
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  phase almost entirely. Whoa! Just imagine an
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  entire corporate structure just changing shape
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  overnight. It's wild! It's blowing my mind a
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  little bit too. The traditional corporate pyramid
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  is fundamentally transforming right before our
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  eyes. It used to be very wide at the bottom.
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  You had absolute armies of junior workers doing
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  grunt work. And you had way fewer senior workers
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  at the top. But when AI handles the analytical
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  work at the bottom, that foundational shape completely
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  changes. You still see plenty of jobs for beginners,
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  but the daily work inside those roles is entirely
• 8:32
  different. You work with AI constantly, but you
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  add value purely through your human judgment.
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  The structural ground is just shifting right
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  beneath our feet. It really is. Are corporate
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  pyramids essentially becoming cylinders? Exactly.
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  Fewer junior grunts at the bottom, way more mid
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  -level operators. We'll be right back. Welcome
• 8:56
  back to the deep dive. We just explored the changing
• 8:59
  corporate structure. Now we really need to talk
• 9:01
  about your personal pitch. Right. How you present
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  yourself to employers must change immediately.
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  The old resume playbook just doesn't work anymore.
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  You need a completely updated approach. Knowing
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  how to use chat GPT or Claude isn't a flex. Not
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  at all. It's a basic unstated expectation in
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  the market now. It's literally like putting Microsoft
• 9:19
  Word on your resume. Yeah. Everyone can already
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  write basic prompts or, you know, summarize long
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  documents. You don't stand out by just being
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  slightly faster. So what do employers actually
• 9:30
  want to see from you? They're looking incredibly
• 9:32
  closely at your decision making abilities. AI
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  is going to give you five different strategic
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  options. And you have to confidently choose the
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  right direction. Exactly. You also need to demonstrate
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  incredible ownership. Ownership is key. You must
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  take full responsibility for the final result.
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  You don't just passively pass along the AI output.
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  Ownership is really the massive differentiator
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  here. If the AI makes a subtle mistake, it's
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  your mistake entirely. You can't just blame the
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  algorithm when things go wrong. Never. These
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  skills used to matter mostly for moving up. Now,
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  employers expect them when you first apply. You
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  have to look way beyond the simple job title.
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  You really have to read the fine print on these
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  listings. Read it closely. The source material
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  provides a brilliant practical tool for this.
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  It's a specific prompt framework you can actually
• 10:21
  use. It's so good. You feed it a target job listing,
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  then you ask it to act as an expert career analyst.
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  It's a fantastic way to map your actual skills.
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  Let's say you're applying for a new marketing
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  role. You give the AI the specific job description.
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  You also detail your past experience and your
• 10:38
  current AI tools. Right. And you ask the AI to
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  categorize the required tasks. What can AI easily
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  handle? What desperately needs human judgment?
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  And what requires deep decision making or ultimate
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  ownership? It separates the routine busy work
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  from the complex strategy. Then it compares those
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  requirements directly against your skills. It
• 10:59
  finds your exact professional gaps. Yes. Instead
• 11:02
  of just listing campaign management on your resume,
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  the AI prompt reveals you need human -in -the
• 11:08
  -loop tone auditing. Right, because the AI can
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  easily write the marketing emails. But it takes
• 11:13
  true human ownership to ensure the brand voice
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  doesn't sound like a robot. The prompt explains
• 11:18
  why each missing skill matters today. It tells
• 11:21
  you exactly how to aggressively improve it. It
• 11:23
  even suggests real projects to build your modern
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  portfolio. It creates a highly prioritized action
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  plan for you. It shows what human skills you
• 11:31
  should improve first. And it highlights what
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  you shouldn't depend on AI for. You want to be
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  much more valuable than a simple prompter. You
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  need to focus entirely on how you think and judge.
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  The AI does the first 80 % of the work. You have
• 11:43
  to bring the project across the final finish
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  line. So prompt engineering is basically becoming
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  a dead skill. It's a mandatory baseline now,
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  not a differentiator that gets you hired. Beat.
• 11:53
  Now we know what skills to target for the next
• 11:56
  job, but how do we protect the job we currently
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  have? That is the million -dollar question. We
• 12:02
  need to adapt our daily workflow to stay safe.
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  You have to know which parts of your job AI can
• 12:08
  support, and you must know which parts still
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  depend entirely on your judgment. Let's break
• 12:13
  down a typical daily workflow. Take research
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  and initial drafting. AI can find key points.
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  It can organize massive data faster. It can create
• 12:22
  five different first drafts or multiple outlines
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  quickly. But you still have to do the rigorous
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  source checking. Absolutely. You choose what
• 12:29
  actually matters and adjust the subtle tone.
• 12:31
  You make sure the content fits the real business
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  goal. What about basic data analysis? The AI
• 12:36
  is great at that. Yeah. AI can find complex patterns
• 12:39
  and compare data sets instantly. Yeah. But you
• 12:42
  have to understand the broader business context.
• 12:44
  Right. You decide which data insight is actually
• 12:46
  worth acting on. Yeah. AI gives you a menu of
• 12:49
  options. You have to choose the final strategic
• 12:51
  direction. And you have to take full, visible
• 12:53
  responsibility for that decision. That is the
• 12:56
  absolute core of true ownership. It really is.
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  AI can help you prepare brilliant ideas for your
• 13:02
  team. But you still need to handle the messy
• 13:06
  human feedback in the room. You can't just treat
• 13:08
  AI as a separate skill on your CV. No. That's
• 13:11
  a huge fundamental mistake people make. It must
• 13:14
  be deeply embedded into your real daily workflows.
• 13:17
  If you only know how to write clever prompts,
• 13:20
  you are vulnerable. You have to use AI to complete
• 13:24
  real complex work. Because jobs made entirely
• 13:27
  of simple tasks will face intense pressure. Companies
• 13:30
  are definitely going to automate that predictable
• 13:32
  work. Without a doubt. You need a role that constantly
• 13:35
  gives you more responsibility. And the source
• 13:37
  gives us a second, highly actionable prompt for
• 13:40
  this. It's a detailed 30 -day action plan prompt.
• 13:43
  Right. You feed the AI your current title and
• 13:46
  your weekly tasks. You also clearly tell it the
• 13:49
  next role you desperately want. The AI analyzes
• 13:52
  your daily work task by specific task. It tells
• 13:55
  you exactly how much can be safely automated.
• 13:57
  and it identifies the crucial human value that's
• 14:01
  still needed. It shows you the automation risk
• 14:03
  level for each specific task. Then it actively
• 14:06
  helps you redesign your own job. You let AI completely
• 14:10
  handle the routine boring stuff. Yeah. Then you
• 14:13
  actively claim the higher value strategic responsibility.
• 14:16
  It identifies your three biggest personal skill
• 14:19
  weaknesses. It tells you how to practice them
• 14:21
  without becoming dependent on AI. It gives you
• 14:23
  a crystal clear 30 day roadmap. You systematically
• 14:26
  move from doing routine work to taking real ownership.
• 14:30
  Should we be hiding our AI use from our bosses?
• 14:32
  Never. Flaunt it to claim ownership of bigger,
• 14:34
  more complex outcomes. Too sex silence. Let's
• 14:37
  take a moment to reflect on all of this. The
• 14:40
  fundamental goal in this new economy is changing
• 14:42
  rapidly. Very rapidly. It isn't to somehow hide
• 14:45
  from AI. It isn't to try and compete with it
• 14:47
  on raw speed. You'll lose that race every time.
• 14:50
  Every time. The goal is to let AI handle the
• 14:53
  routine repetitive tasks entirely. You have to
• 14:56
  actively create space to exercise judgment, communication,
• 15:00
  and ownership. The market is demanding that you
• 15:02
  grow up much faster. AI is just a powerful tool
• 15:06
  to help you do it. It really is an incredible
• 15:08
  tool for rapid professional growth. I highly
• 15:11
  encourage you to actually try this yourself this
• 15:12
  week. Take your current specific job description.
• 15:16
  Run it through the chat GPT prompts we discussed
• 15:18
  today. Look really, really hard at what parts
• 15:21
  of your week can be fully automated. Find the
• 15:24
  hidden spaces where you can claim much more ownership.
• 15:27
  It's a totally new, slightly intimidating landscape
• 15:30
  out there. And it leaves me with one final thought.
• 15:32
  What's that? If AI is taking over the entry -level
• 15:35
  training wheels phase of our careers, how will
• 15:38
  the next generation learn to ride the bike at
• 15:39
  all? Two -sec silence. Something to think about.
• 15:43
  Out to your own music.