Rethinking Tech

By Rethinking TechNews Tech News

Rethinking Tech episodes

April 13Walmart and OpenAI Broke Up - Because They Didn't Get It
When a company like Walmart makes a serious move with OpenAI, it is never just about experimentation.
It is about scale.
In this x10 episode of Rethinking Tech, Aparna and Harinda break down what Walmart’s OpenAI move could mean for the future of retail — from operational efficiency and automation to labor, decision-making, and competitive power.
This is not just a story about one company adopting a new tool.
It is a look at what happens when frontier AI enters one of the most complex business systems in the world.
What this episode covers
Why Walmart’s OpenAI move matters beyond a single partnership
How AI could reshape logistics, customer interaction, and internal operations
What this says about the future of large-scale retail decision-making
Why major companies are racing to embed AI into core business functions
What this shift could mean for labor, competition, and corporate power
Why this matters
This is not a generic AI adoption story.
It is about how one of the world’s biggest companies may be turning AI into a strategic operating layer.
Retail sits at the intersection of labor, data, logistics, and consumer behavior.
If AI starts to meaningfully shape that system, then the effects will go far beyond shopping.
It will affect how decisions are made, how workers are managed, how efficiency is defined, and which companies are positioned to dominate the next era of commerce.
That is why Walmart matters.
And that is why this move deserves much more attention than a typical product headline.
🎙️ About Rethinking Tech
Rethinking Tech explores the intersection of technology, geopolitics, business, and ethics — focusing on how systems actually work, not just how they’re talked about.
We analyze structure, incentives, and consequences — without hype.
🔗 Connect with Us
📺 YouTube: https://www.youtube.com/@RethinkingTech
🎧 Spotify: https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3
🍏 Apple Podcasts: https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530
📸 TikTok: @rethinking_tech
💼 LinkedIn: Rethinking Tech Podcast
👤 Aparna: https://www.linkedin.com/in/aparnabhushan/
👤 Harinda: https://www.linkedin.com/in/harindak/
5 min
April 10Instagram Is Killing Encryption — And The Story Is Bigger Than Privacy
Instagram dropping end-to-end encryption sounds like a privacy story.
It may be something much bigger.
In this x10 episode of Rethinking Tech, Aparna and Harinda break down why Instagram’s move away from encryption could reshape far more than private messaging — from AI training and advertising inference to compliance, moderation, and the future of digital privacy itself.
What this episode covers
Why Instagram’s encryption rollback matters beyond user privacy
How removing encryption opens the door to more AI training and advertising inference
Why private conversations are becoming increasingly valuable business infrastructure
How this shift could affect teens, targeting, and platform responsibility
Whether the broader industry is moving toward a world where encryption becomes the exception, not the norm
Why this matters
This isn’t just about one feature change.
It’s about whether platforms are quietly redesigning the internet around a simple assumption: your data will be accessible, readable, and monetizable.
If messaging loses meaningful privacy protections, then the platform gains far more than visibility.
It gains infrastructure for ad targeting, AI development, safety enforcement, and potentially far greater influence over what can be seen, inferred, and acted upon.
And if encryption itself becomes harder to sustain — whether because of business incentives or future technological shifts like quantum computing — then this may be less of an isolated decision and more of a preview.
🎙️ About Rethinking Tech
Rethinking Tech explores the intersection of technology, geopolitics, business, and ethics — focusing on how systems actually work, not just how they’re talked about.
We analyze structure, incentives, and consequences — without hype.
🔗 Connect with Us
📺 YouTube: https://www.youtube.com/@RethinkingTech
🎧 Spotify: https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3
🍏 Apple Podcasts: https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530
📸 TikTok: @rethinking_tech
💼 LinkedIn: Rethinking Tech Podcast
👤 Aparna: https://www.linkedin.com/in/aparnabhushan/
👤 Harinda: https://www.linkedin.com/in/harindak/
6 min
April 09Microsoft Just Had Its Worst Quarter Since 2008 — Is AI to Blame?
🧠 DESCRIPTION
Microsoft has long been treated like the safest stock in tech.
That’s why this moment matters.
In this x10 episode of Rethinking Tech, Aparna and Harinda break down Microsoft’s sharp stock decline, why Wall Street is suddenly nervous, and whether this is actually a Microsoft problem — or a sign that the market is starting to rethink the entire AI trade.
What this episode covers
Why Microsoft just posted its steepest quarterly stock decline since 2008
Whether Azure’s slowdown is a warning sign or an overreaction
Why analysts still overwhelmingly rate Microsoft a buy despite the drop
How AI narratives are distorting public market expectations
Why Microsoft may still be structurally stronger than most of its rivals even in a downturn
This isn’t just a stock-market story.
It’s a look at how one of the most deeply embedded software companies in the world is being judged in an AI market that increasingly treats anything short of dominance as failure.
Why this matters
Microsoft is not just another tech company.
It sits at the center of corporate software, cloud infrastructure, and enterprise dependence at global scale.
So if the market is suddenly questioning Microsoft, the bigger issue may not be Satya Nadella or one weak quarter — it may be that investors are starting to ask whether the AI infrastructure boom is being priced on narrative more than payoff.
🎙️ About Rethinking Tech
Rethinking Tech explores the intersection of technology, geopolitics, business, and ethics — focusing on how systems actually work, not just how they’re talked about.
We analyze structure, incentives, and consequences — without hype.
🔗 Connect with Us
📺 YouTube: https://www.youtube.com/@RethinkingTech
🎧 Spotify: https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3
🍏 Apple Podcasts: https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530
📸 TikTok: @rethinking_tech
💼 LinkedIn: Rethinking Tech Podcast
6 min
April 08Meta Built an AI Co-CEO - Is It Just About Efficiency?
🧠 DESCRIPTION
Meta isn’t just automating work.
It may be trying to automate responsibility too.
In this x10 episode of Rethinking Tech, Aparna and Harinda break down Meta’s reported move toward an AI “co-CEO” model — and why the bigger story is not novelty, but what it reveals about liability, labor cuts, teen safety, and the corporate push to outsource accountability.

What this episode covers
Why Meta’s AI co-CEO idea matters beyond leadership efficiency
How the company’s push for AI-generated code connects to broader workforce cuts
Whether AI agents could be used to blur or deflect executive responsibility
How Meta and other tech firms are trying to shift liability to parents, device makers, or other intermediaries
What happens when human oversight is reduced while AI systems gain more authority inside major companies
Why this matters
This isn’t just a story about one CEO experimenting with AI tools.
It’s a look at how one of the world’s most powerful tech companies may be redesigning itself around automation, deniability, and efficiency at scale.
If large tech firms can automate management layers, reduce human oversight, and distribute liability away from themselves, then AI stops being just a productivity tool.
It becomes part of the governance model of the company itself.
That has consequences not only for workers, but for ethics, safety, and who is ultimately accountable when platform decisions cause harm.
🎙️ About Rethinking Tech
Rethinking Tech explores the intersection of technology, geopolitics, business, and ethics — focusing on how systems actually work, not just how they’re talked about.
We analyze structure, incentives, and consequences — without hype.
🔗 Connect with Us
📺 YouTube: https://www.youtube.com/@RethinkingTech
🎧 Spotify: https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3
🍏 Apple Podcasts: https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530
📸 TikTok: @rethinking_tech
💼 LinkedIn: Rethinking Tech Podcast
👤 Aparna: https://www.linkedin.com/in/aparnabhushan/
👤 Harinda: https://www.linkedin.com/in/harindak/
8 min
April 06Iran Hacked the FBI Director - Is It Bigger Than It Sounds
The FBI Director’s personal email getting hacked should have been a major story.
Instead, it was mostly treated like a curiosity.
In this x10 episode of Rethinking Tech, Aparna and Harinda break down the Iran-linked hack of Kash Patel’s personal account — and why the real story may not be the contents of the leak, but the timing, the strategy, and the leverage behind it.
What this episode covers:
Why the breach of Kash Patel’s personal Gmail matters even if no classified files were exposed
How Iran appears to have held the material and released it strategically
Why cyber operations are often less about disclosure and more about signaling
How personal data can still build a powerful intelligence profile
What this reveals about state-backed hacking, leverage, and media framing
Why this matters
This isn’t just a story about one inbox.
It’s a look at how cyber intrusions are used as pressure, warning, and geopolitical messaging.
Even when the leaked material seems mundane, the access itself is the story.
Travel details, loyalty credentials, contacts, address history, and long-term personal data can all be used to build leverage — and in modern cyber conflict, that often matters more than a dramatic headline.
This episode also asks a harder question:
when major outlets downplay stories like this, what does that do to public understanding of cyber risk?

🎙️ About Rethinking Tech
Rethinking Tech explores the intersection of technology, geopolitics, business, and ethics — focusing on how systems actually work, not just how they’re talked about.
We analyze structure, incentives, and consequences — without hype.
🔗 Connect with Us
📺 YouTube: https://www.youtube.com/@RethinkingTech
🎧 Spotify: https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3
🍏 Apple Podcasts: https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530
📸 TikTok: @rethinking_tech
💼 LinkedIn: Rethinking Tech Podcast
👤 Aparna: https://www.linkedin.com/in/aparnabhushan/
👤 Harinda: https://www.linkedin.com/in/harindak/
6 min
April 05The U.S. Wants to Control AI… And Take Power From States
RT Updates

AI regulation just took a major turn.
The U.S. federal government is stepping in—
not just to regulate AI…
but to override state-level control.
And that changes everything.

🎙️ Episode Intro:
In this episode of Rethinking Tech, we break down the newly proposed National AI Legislative Framework—and what it really signals.
This isn’t just about AI.
It’s about who gets to control it.
States?
Or the federal government?

📌 What this episode covers:
The six pillars of the U.S. National AI Legislative Framework
Why the federal government wants uniform AI laws across all states
The controversial stance on IP and “fair use”
Why child safety is being shifted to parents
The tension between free speech and government-defined “truth”
How this could reshape AI regulation globally

💡 Why this matters:
This is bigger than policy.
👉 Power is shifting from states to federal control
👉 AI companies may get more freedom with data and IP
👉 Responsibility is moving from institutions… to individuals
And the bigger question:
If AI defines the future—
who gets to define AI?
Because once that decision is made…
Everything else follows.

🔗 Connect with Us
📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠⁠
9 min
April 04They Tried to Buy the Truth… Then Threatened Him When He Refused
RT Updates
A journalist reports a verified missile strike.
Facts are confirmed.
The story is accurate.
And suddenly—
strangers start asking him to change it.
Not for politics.
Not for ideology.
For money.

🎙️ Episode Intro:
In this episode of Rethinking Tech, we explore a disturbing intersection of prediction markets, journalism, and truth itself.
When people can bet on world events…
what happens when they try to change those events?
And more importantly—
what happens when truth becomes financially inconvenient?

📌 What this episode covers:
How prediction markets like Polymarket and Kalshi are evolving
The real incident where a journalist was pressured—and threatened
Why “betting on reality” creates incentives to manipulate it
The growing risk to journalistic integrity and personal safety
How this blurs the line between markets, media, and misinformation
Why regulation may already be too late

💡 Why this matters:
We’ve always questioned the news.
We’ve always questioned the markets.
Now—
they’re starting to influence each other.
👉 Truth can be pressured
👉 Narratives can be bought
👉 Outcomes can be manipulated
And when that happens…
It’s not just misinformation.
It’s a system where reality itself becomes negotiable.
🔗 Connect with Us
📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠⁠
7 min
April 03AI Can Identify You From Just 5 Comments… For $4
RT Updates

Your Reddit username.
A few comments.
A couple of dollars.
That’s all it takes for AI to figure out who you are.
Not your name.
Not your email.
Your writing style.
🎙️ Episode Intro:
In this episode of Rethinking Tech, we unpack a new reality of AI—where anonymity online may no longer exist.
Researchers are now using language patterns as fingerprints, allowing AI to re-identify individuals with alarming accuracy.
So the question is no longer what data you share…
It’s how you say it.
📌 What this episode covers:
How AI uses language patterns as a “fingerprint”
The ability to re-identify users from minimal data
Why anonymity on the internet is breaking down
The risks: workplace exposure, targeted attacks, loss of privacy
The upside: accountability for harmful online behavior
How this could reshape advertising and targeting
Why this might already be happening at scale
💡 Why this matters:
You don’t need to reveal your identity anymore.
👉 Your behavior reveals it
👉 Your writing reveals it
👉 Your patterns reveal it
And once that’s possible…
Privacy isn’t something you lose all at once.
It’s something that quietly disappears.
Because in the age of AI—
You are not anonymous.
🔗 Connect with Us
📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠⁠
4 min
April 02Millions Fooled by an AI Influencer… And That’s the Real Story
RT Updates
She was a soldier.
She was political.
She was profitable.
And she wasn’t even real.
An AI-generated influencer built a massive following, made money, and influenced opinions—without people realizing it.
But this isn’t just about one fake persona.
It’s about how the internet is designed to shape what you believe.

🎙️ Episode Intro:
In this episode of Rethinking Tech, we unpack the rise of AI influencers—and why they’re more powerful than they seem.
This isn’t about politics.
It’s about how influence is engineered in the digital age.
Because what looks like content…
might actually be behavior design.

📌 What this episode covers:
The rise of AI-generated influencers and digital personas
How one AI character built trust and monetized attention
Why people couldn’t tell it wasn’t real
The role of algorithms in shaping beliefs and behavior
How online content subtly “guides” users over time
The intersection of AI, influence, and political narratives
Why this isn’t about one group—it applies to everyone

💡 Why this matters:
You don’t need to be convinced all at once.
👉 The internet nudges you
👉 The algorithm learns you
👉 The content evolves with you
And before you realize it…
Your beliefs may not be entirely your own.
Because in the age of AI—
Influence isn’t loud.
It’s engineered.
🔗 Connect with Us
📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠⁠
5 min
April 01DoorDash Isn’t Delivering Food Anymore… It’s Training AI
RT Updates

Your food delivery app just got a lot more… strategic.
DoorDash is now paying drivers not just to deliver meals—
but to train AI and humanoid robots.
From filming everyday tasks to generating real-world data, millions of workers are quietly becoming part of the AI supply chain.

So what does that mean?
🎙️ Episode Intro:
In this episode of Rethinking Tech, we unpack DoorDash’s new “Tasks” app—and why it may signal one of the biggest business model pivots in the gig economy.
This isn’t just about side income.
It’s about turning human labor into training data for automation.
📌 What this episode covers:
DoorDash’s new Tasks platform and how it works
Why drivers are now collecting data instead of just delivering food
The rise of “physical world” data for AI and robotics
Why some US states are blocking this rollout
The shift from gig work → data labor
How this could eventually replace delivery jobs altogether
The hidden business model: selling data to AI companies

💡 Why this matters:
This is bigger than DoorDash.
👉 The gig economy is evolving into a data economy
👉 Workers may be training the systems that replace them
👉 Companies are shifting from services → infrastructure
And the uncomfortable truth:
The most valuable thing you produce…
might not be your labor.
It’s your data.

🔗 Connect with Us

📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠
7 min

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