I’ve Reinvented Myself 6 Times. You Might Need to Do It Sooner Than You Think.

“Learn AI or I will fire you.”

Seriously?

Heck yes.

Accenture’s bullying ultimatum to its employees might be just the usual AI noise. And if you ask me, I think it is.

I had to deal with Accenture at several different points in my career. I echo what many Redditors commented in this fun exchange of opinions on the news. Have fun reading it all, but the best humorous comment gets the highlight here:

“I’m not surprised AI is a problem for them; they have a long history of failure with all manner of Intelligence.”

However, there still seems to be a seismic shift occurring in the very foundations of work. What to do? It’s a time where our ability to absorb, apply, and lead with new learnings is becoming the most critical asset.

‘There is no spoon’ scene from The Matrix (1999)

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SIGNAL

Every week I track the pressure points in AI, labor, and strategy. I’m reluctant to categorize this as “signal,” but bear with me. It’s a signal for something else”

Accenture is now telling employees: learn AI or get out. The company cut 11,000+ roles this quarter and warned it will “exit” people whose skills can’t be retrained for AI‑driven work. (Financial Times)

At the same time, Accenture says it has upskilled 500,000 of its workforce in generative AI capabilities. (Moneycontrol)

The alleged implication: in 2025, your employability or your firm’s competitiveness will hinge less on seniority or pedigree, and more on your ability to absorb, apply, and even lead with AI fluency. I get it, using AI tools is becoming like learning MS Excel or MS Word (remember when you had to put these skills on your CV?).

But there is something I’d add: the real story is to find the ability to reinvent and transform yourself. Learning more and new things now must happen faster than ever.

This is what I’d call a signal. It’s the tip of a structural shift in assumptions about what companies need from people. The old bargain (“you bring domain expertise, loyalty, years of experience”) is being renegotiated. Those who don’t engage with it risk being left behind.

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STORY

If there’s one thing I’ve always been proud of in my life, it’s the capacity to reinvent. Yes, I’ve done it in practice, multiple times.

I started in physics: the mindset of first principles, modeling the invisible. From there, I detoured into actuarial work — insurance, pricing, capital, risk — using statistics and probability as tools. But then I saw the machine learning revolution coming.

I immersed myself, teaching myself data science and tackling early Coursera courses (fellow geeks might recall the thrill of programming logistic regression in Octave!). I built machine learning systems for enterprise clients, becoming a pro in the field.

The expertise in ML and insurance birthed a chatbot startup verticalized in insurance, a venture I embarked on with absolutely no prior NLP knowledge (for those wondering, that’s Natural Language Processing, the branch of machine learning that gave us large language models like GPT and applications like ChatGPT). There I had to pivot constantly: one month I was engineering, the next operations, then sales & marketing, then product, back to data science, back to finance.

After that, I returned to academia doing a PhD in computer science, researching and building more complex dialogue systems. I even wrote a book! I’m not a pro at writing (yet!) but it forced me to start learning.

Today I work with nonprofits, mission-driven orgs, founders — and in each role I get to choose what I want to do next.

Why do I tell this? Because this moment, the technocivic shift we are in, demands that flexibility. The old assumption of a single linear “career ladder” is eroding. Roles will blur, skills will overlap, and the next job may require you to step into unfamiliar terrain.

When I look at professionals across generations and founders at various stages, the one trait I see in those who survive and thrive is a willingness to learn something outside of their comfort zone, fast. Not perfectly, not fully, but just enough to bootstrap themselves forward.

That mindset, the courage to approach the unknown, is how you build optionality in a shifting world.

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THE HUMAN OVERRIDE

How do you become someone who reinvents, learns at speed, and rides disruption instead of being crushed by it? Below is a pragmatic framework and concrete actions. (Yes, I’ll share deeper “learning hacks” in future drops if you say yes.)

1. Mindset: you can learn anything

• Reject the identity bound to your current role. You are not just “the finance person” or “the marketing person,” you’re a learner, a thinker, a doer.

• Cultivate curiosity and energy as your baseline fuel. When you see something new, treat it like a personal invitation to explore.

2. Deep focus + ruthless prioritization

• Learning while busy is about selecting the highest signal projects that push your frontier.

• Use time blocks where you isolate for deep work. Protect those hours.

• Say “no” often: every new commitment is an opportunity cost.

3. Always learn from conversations (treat people as masterclasses)

• In every meeting, call, or casual chat, pick one micro‑lesson. Ask: “What did I not know before this conversation?”

• Keep a “conversation journal”. Three lines per encounter, what you learned or what question it sparked.

4. Dual-track exposure: breadth + depth

• Don’t just specialize further. Sample wildly as well

  • Depth track: become stronger at one skill that can anchor you (e.g. AI tools, domain knowledge, domain + AI).

  • Breadth track: pick one “adjacent unknown” field every few quarters (e.g. if you’re in health, peek into economics, or if you’re in AI, peek into policy).

• The magic happens when different fields contaminate each other.

5. Iterate early, iterate often

• Don’t perfect before trying. Build minimum viable experiments (mini projects, prototypes, small bets).

• Fail fast, learn, course correct. The cost of error at small scale is your teacher.

6. Meta‑learning: beat the learning curve itself

• Learn how you learn best (reading, video, hands-on, spaced recall).

• Use techniques like retrieval practice, interleaving, spaced repetition.

• Teach others: explaining a concept is one of the fastest ways to solidify it.

7. Anchor it in mission and values

• Reinvention is stressful; the load is lighter if it’s tethered to purpose.

• Every learning stretch should align to something you deeply care about, otherwise it quickly drains you.

8. Community & accountability

• Find peers, learning partners, mentors.

• Public commitment helps: blog, share, teach.

• Accept that you’ll be “outsider” sometimes: you’re ahead, not behind.

Concrete actions you can take this week:

1. Pick one skill or domain just outside your comfort. Spend 3 hours this week diving into it (tutorial, reading, mini-build).

2. In every meeting, jot one question or one new idea. At day’s end, review and pick the most provocative.

3. Block 2 × 90 minutes of deep learning time on your calendar and guard it.

4. Share publicly–in your network, in a newsletter, with peers–what you’re exploring, what you failed, what surprised you.

5. Ask me: reply to this email or comment “I want your learning playbooks.” I’ll get back to you in a reasonable time.

This is how you build antifragility in your career. You don’t wait for the world to bend, but you learn to bend with it, draw new maps, and move forward.

“Do not try and bend the spoon. That’s impossible. Instead, only try to realize the truth: there is no spoon. Then you’ll see, that it is not the spoon that bends, it is only yourself.” (I hope this quote doesn’t need attribution!)

SPARK

The urgent question I leave you with this week:

If everything, career, roles, companies, is becoming fluid, what are you choosing to become?

Your identity, your learning portfolio, your network. All of these are up for redesign. The old definitions will not hold.

If you’re curious to go deeper, I have a trove of frameworks, accelerators, and learning designs I’m ready to give. Reply to this email, or comment, and tell me whether you want me to unpack:

• A “learning sprint bootcamp” template

• Domain-agnostic learning toolkits (AI, product, sales, systems thinking)

• Community and accountability frameworks

Let me know. I’ll dedicate upcoming newsletters to those.