Meta, TikTok, Snap, Pinterest, Roblox — and several other major platforms — have agreed to be rated on teen safety.

After years of scrutiny around mental health, harmful content, and data privacy, social media companies are now signing onto a framework that will score them on how well they protect minors.

But is this a real shift toward accountability — or just clever optics?

In 2026, tech companies are facing increasing pressure from governments and parents alike. Yet instead of structural reform, we’re getting ratings.

What this episode covers:

• What the teen safety rating framework actually evaluates

• Whether low scores will carry real consequences

• Why ratings may shift responsibility to parents

• The “nutrition label” comparison for social media

• What platforms may have negotiated behind the scenes

Why this matters:
If these ratings don’t come with enforcement, they may simply protect tech companies from deeper regulation — while leaving the core issues untouched.

Is this progress — or a strategic compromise to avoid real change?

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📺 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/⁠

Big Tech employees are pushing back — again.

Over 1,000 Google employees have signed an open letter demanding the company sever ties with ICE and CBP, arguing that Google’s cloud and AI tools may be supporting immigration enforcement in ways that contradict its stated values.

But here’s the harder question:
Do employees actually get to shape corporate strategy — or is quitting the only real leverage they have?

In 2026, tech companies aren’t just building products. They’re building infrastructure for governments, defense, and surveillance. And that reality is forcing uncomfortable conversations inside Silicon Valley.

What this episode covers:

• The open letter demanding transparency around DHS contracts

• Google’s history with Project Maven and employee activism

• Whether worker pressure has real strategic influence

• The tension between ethics, defense contracts, and shareholder duty

• Why this debate keeps resurfacing across Amazon, Microsoft, Meta, and Google

Why this matters:
As tech becomes embedded in national security, immigration enforcement, and data systems, the line between private company and public power continues to blur.

If employees can’t influence direction from within — and companies won’t self-regulate — who actually holds the power?

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📺 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/⁠

SWAT teams aren’t just operating behind closed doors anymore.

Dubai is hosting the world’s largest elite tactical competition, bringing together over 100 teams from 48 countries in a televised showdown of military-grade skill, prize money, and global bragging rights.

In this episode of Rethinking Tech, Aparna and Harinda unpack what happens when national security meets entertainment — and when elite forces become athletes on a global stage.

• Why Dubai is positioning itself as a global security hub

• The commercialization of military and tactical forces

• Government-sanctioned participation and soft power strategy

• Whether this is benchmarking… or global bragging rights

• The risks of exposing elite tactics in public

• How commerce offsets national security concerns

This isn’t just a competition.
It’s a shift in how we perceive military power.

When elite forces are televised, monetized, and turned into global sport, the line between defense, diplomacy, and entertainment begins to blur.

The real question:
Is this harmless spectacle — or the normalization of military power as global commerce?

What this episode covers is Why this matters.

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📺 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/⁠

Facial recognition isn’t just on your phone anymore — it’s going wearable.

Meta is pushing AI-powered identification into stylish smart glasses, raising urgent questions about privacy, surveillance, and consent in public spaces. After Harvard students went viral for hacking smart glasses to instantly identify strangers on campus, similar capabilities are now moving toward mainstream deployment.

In this episode of Rethinking Tech, Aparna and Harinda unpack what Meta’s facial recognition glasses really mean — not just for convenience, but for society.

• How hacked smart glasses exposed the future of real-time facial recognition

• Why Meta’s Ray-Ban collaboration makes wearable AI mainstream

• The privacy risks: doxing, scams, stalking, and social engineering

• How this tech could integrate with law enforcement systems

• Why regulators may be too slow to respond

• Whether GDPR and global privacy laws can actually stop this

This isn’t just about smart glasses.
It’s about whether anonymity in public still exists.

When AI can identify you on sight, pull your social data, and whisper it into someone’s ear, privacy doesn’t disappear overnight — it erodes quietly.

The real question isn’t whether this technology will work.
It’s whether governments — and society — will draw a line before wearable surveillance becomes normal.

What this episode covers is Why this matters.

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📺 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/⁠

Peter Steinberger, creator of OpenClaw — one of the fastest-growing consumer AI agent platforms — is joining OpenAI.

This isn’t just another talent acquisition. It’s a strategic shift in the AI agents race.

OpenClaw exploded because it let users deploy powerful AI agents locally and plug into models like Claude, ChatGPT, and Gemini. It lowered the barrier to entry. It made agents usable. And it quietly reshaped how non-technical users interact with AI.

Now, Sam Altman has won the recruiting battle.

The question is: what happens next?

• Why OpenClaw disrupted the B2C AI agent market

• Why OpenAI — not Meta — secured the deal

• Whether OpenClaw stays open source or becomes a funnel

• The credit and compute war between Claude and OpenAI

• How agents could become the next monetization battleground

• What this means for Gemini, Meta, and the broader AI ecosystem

AI agents are likely the next dominant interface layer. Whoever controls the agent layer controls the workflow. And whoever controls the workflow controls the revenue.

Is this a nonprofit-backed open ecosystem — or the beginning of platform consolidation?

Let’s rethink tech.

What this episode covers is Why this matters.

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📺 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/⁠

MrBeast just bought a fintech app.

Yes — that MrBeast.

Jimmy Donaldson, one of the largest creators in the world, has acquired Step, a Gen Z-focused banking app. And he’s not stopping there. His company is reportedly exploring a mobile virtual network as well.

This isn’t just another influencer brand deal.

This is attention moving into finance.

In this episode, we examine what happens when one of the most trusted digital creators in the world enters banking — an industry historically built on institutional authority, not personality.

Is this genuine financial empowerment for Gen Z?

Or simply the next evolution of influencer capitalism?

• Why MrBeast acquired Step, a Gen Z fintech app

• His stated mission around financial literacy

• Why Feastables — not YouTube — is his cash cow

• The power of trust in moving from content to banking

• Whether influencer-led finance is innovation or marketing

• Why traditional banking may be vulnerable to disruption

• The risks of mixing attention, trust, and financial services

For over a decade, MrBeast mastered attention.

Now he’s monetizing trust.

Banking has long struggled with credibility among younger generations. If Gen Z chooses a creator-led financial ecosystem over legacy institutions, it could reshape who controls financial relationships in the next decade.

The question isn’t whether MrBeast can sell chocolate.

It’s whether he can sell trust — at scale — in finance.

What this episode covers is Why this matters

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📺 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/⁠

The Super Bowl didn’t just sell products this year.
It sold narratives.

From AI ads dominating the broadcast to Bad Bunny’s halftime performance igniting a geopolitical debate, Super Bowl 2026 became less about football — and more about identity, monetization, and cultural power.

This wasn’t just a sporting event.
It was a live experiment in how tech companies shape public trust, how platforms amplify division, and how artists challenge national narratives.

In this episode, we unpack how the Super Bowl became a battlefield for AI branding, political symbolism, and the future of digital infrastructure.

• Why AI companies flooded the Super Bowl with ads

• The Claude vs ChatGPT feud and the battle over monetization models

• Are AI Super Bowl ads education — or propaganda?

• Amazon Ring, surveillance concerns, and public backlash

• Kalshi’s prediction market surge and regulatory scrutiny

• Tech infrastructure failures during peak cultural moments

• Bad Bunny’s halftime show and the debate over American identity

• The geopolitics of Puerto Rico, Latin America, and cultural belonging

• Should artists use their platform politically — or stay neutral?

• Why TikTok stayed out of the Super Bowl spotlight

The Super Bowl remains one of the last true monoculture moments — with over 125 million Americans tuning in simultaneously.

When tech companies choose that stage, they’re not just advertising products.
They’re attempting to reprogram society’s relationship with AI.

At the same time, a halftime show sparked debates about sovereignty, representation, censorship, and the global image of America.

This episode explores what happens when sports, tech, politics, and capitalism collide — and what it reveals about where society is heading next.

What this episode covers is Why this matters:

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📺 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/⁠

AI is “coming for your job.”

We’ve heard that before.

But this time, markets reacted.

India’s benchmark IT index dropped roughly 6% following the release of Anthropic’s Claude coworker plugin — a tool designed to automate the exact kind of repetitive, high-volume knowledge work that built India’s outsourcing model.

Is this hype?
Or is this the beginning of a structural shift?

In this episode, we examine what happens when AI threatens a $250B industry that accounts for nearly 10% of India’s GDP and employs millions.

This isn’t just about automation.

It’s about cost arbitrage, economic evolution, and whether entire growth models can survive intelligent software.

• Why India’s IT stocks fell after Claude’s release

• The man-hours billing model behind Indian outsourcing

• How AI pressures traditional cost arbitrage

• Whether markets are pricing future capability too early

• Predictions that up to 50% of outsourcing work could be impacted

• Why innovation — not pricing — may determine survival

• Lessons from global outsourcing shifts, including China’s manufacturing evolution

AI doesn’t just replace tasks.

It reshapes incentives.

For decades, outsourcing thrived because labor was cheaper elsewhere. Now, the “lower-cost alternative” isn’t another country — it’s software.

The question isn’t whether AI will disrupt outsourcing.

It’s whether economies built on it can adapt fast enough.

What this episode covers:Why this matters

🔗 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/⁠

U.S. TikTok users are reporting that they can’t search certain political terms — including “Epstein” — following changes to TikTok’s U.S. ownership structure.

Coincidence? Algorithm update? Or something more structural?

After ByteDance split U.S. users from global operations and a U.S.-based investor consortium took majority ownership of the American entity, questions are emerging about algorithmic bias, content suppression, and the First Amendment.

If you can technically post a video — but the algorithm ensures no one sees it — is that still free expression?

And if governments become stakeholders in platforms, where does the line between moderation and interference sit?

This episode examines ownership, incentives, speech, and whether algorithmic visibility is the new battleground for expression.

• Reports of suppressed search terms on U.S. TikTok

• TikTok’s U.S. ownership restructuring

• Algorithmic bias vs. platform moderation

• The First Amendment and digital platforms

• Whether visibility suppression equals censorship

• Comparisons with speech restrictions in other countries

Free speech isn’t just about what you can say.

It’s about whether your voice can be heard.

As governments, investors, and platforms intertwine, algorithmic control may become one of the most powerful tools shaping public discourse.

And that raises a fundamental question:

Who decides what gets seen?

What this episode covers is Why this matters.

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📺 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/⁠

Betting markets are evolving fast — and they’re no longer just about sports or the Oscars.

Platforms like Kalshi and Polymarket now allow users to wager millions on elections, geopolitical turmoil, military actions, and global instability. Some call it a “friendly wager.” But when 87% of accounts incur losses — and when real-world military events can trigger six-figure payoffs — the stakes look very different.

In this episode, we examine the rapid rise of prediction markets, the regulatory gray zone surrounding them, and the deeper concern: what happens when financial incentives intersect with geopolitics?

If insider information, speed advantages, or even manipulation can generate massive returns, are we creating a new form of geopolitical arbitrage?

And if governments attempt to shut it down, do black markets simply take its place?

• The growth of Kalshi and Polymarket

• Why prediction markets are expanding beyond traditional gambling

• The regulatory uncertainty around event-based betting

• Insider trading risks in geopolitical events

• Lessons from high-speed trading and market manipulation

• Why legislators may be underestimating this space

• The incentive problem at the core of global instability

  
  

Prediction markets blur the line between finance, gambling, and geopolitics.

If incentives shape behavior — and markets reward instability — we need to ask a harder question:

What happens when conflict itself becomes a trade?

This isn’t just about betting.

It’s about power, incentives, and how fast emerging financial systems can outpace regulation.

What this episode covers is Why this matters.

🔗 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/⁠