We are living in a world where your day starts with a screen… and your thoughts might not even be fully your own anymore.

In this episode of 101 Talks, host Sachin Menon sits down with social scientist and digital wellbeing expert Dr. Bailey Parnell to explore a question that matters more than ever:

👉 Are we building technology that serves humans… or training humans to serve technology?

From social media addiction to AI shaping cognition, this conversation goes beyond tools and dives into what it means to stay human in a digital-first world.

⏱️ Timestamps

00:00 – What does it mean to be human in the age of AI?
00:23 – Is GenAI weakening our thinking and communication skills?
01:13 – The real problem: digital influence before your day even begins
02:11 – Dr. Bailey’s journey into digital wellbeing
06:15 – Why soft skills became her mission
08:36 – “Soft skills = future advantage” (before AI made it obvious)
10:46 – Why we ignore social media’s impact on mental health
13:43 – Social media amplifies your emotions (the hidden rule)
14:58 – The “digital layer of life” explained
18:36 – The purpose of the cake (powerful leadership analogy)
19:26 – Social comparison: why it’s natural but now broken
21:47 – Highlight reels vs real life
23:24 – Social currency: your attention is the product
25:50 – Online stress and normalized toxicity
28:08 – AI shaping cognition: what humans must protect
30:14 – Embodied intelligence: what AI cannot replicate
32:43 – Skills that will matter most in the AI era
33:09 – Will AI make us less capable?
35:55 – Rethinking education and skill-building
36:07 – How GenAI is changing human development
37:26 – Why children weren’t protected enough
39:44 – This is not a tech shift… it’s human evolution
40:13 – What responsible leadership looks like today
43:32 – What power really means
45:08 – Concerns vs hope for the next 3–5 years
48:19 – One practical shift for better digital wellbeing
49:24 – Rapid fire
50:43 – Final message: staying human in a digital world

🔑 Key Takeaways
+Your attention is currency. Where you spend it shapes your reality.
+Social media doesn’t just distract you. It amplifies your existing emotional state.
+We are comparing our full life to others’ highlight reels. That comparison is fundamentally broken.
+AI should augment judgment, not replace it.
+The future belongs to people strong in:
+Emotional intelligence
+The most important shift: lead yourself before trying to lead the world

📖 Glossary (Simple Terms)

Digital Wellbeing
How technology impacts your mental, emotional, and social health

Social Currency
The value of your attention online (likes, shares, watch time)

Attention Economy
A system where platforms compete to capture your time and focus

Embodied Intelligence
Human understanding that comes from physical experience and presence, not just data

Upward Comparison
Comparing yourself to someone you perceive as “better”

Digital Culture
A workplace or life experience primarily shaped through screens and online interactions

🤝 Connect with Guest
Guest – Dr. Bailey Parnell
Social Scientist | Digital Wellbeing Advocate
Linkedin - https://www.linkedin.com/in/baileyparnell/

💭 Final Thought

“Good people use any tool in good ways.”

Technology is not the problem.
Unconscious use is.

🎯 About 101 Talks
101 Talks is where bold ideas meet real conversations.

If you think AI today is impressive… 2026 is going to make today look like a prototype.

In this episode, we go beyond hype and break down the real data trends shaping the future of enterprises — from agentic AI to decision intelligence systems.

I’m joined by Divya Krishna, Co-founder & CEO of DataStride Analytics, who’s building at the intersection of data, AI, and real-world decision systems.

This is not just a conversation about AI.
This is about how companies will move from dashboards → decision engines.

And the uncomfortable truth?

Most companies are still stuck building reports…
while the world is moving toward systems that act.

🚀 What You’ll Learn

• Why agentic AI is shifting from insights → action
• What decision intelligence actually means in business
• Why enterprises are moving toward smaller, faster AI models
• The rise of action pipelines (decision engines)
• What AI will replace… and what stays deeply human
• How students & professionals should rethink learning in the AI era

🧠 Why This Matters

We are entering a world where:

→ Decisions are no longer made in meetings
→ They are made inside systems
→ Powered by data, validated by AI, and guided by humans

The companies that understand this shift… will move faster.
The ones that don’t… will fall behind.

⏱ Chapters

00:00 Sneak Peek
02:00 Divya’s Journey: From Engineering → AI
08:00 Trend #1: Agentic AI
11:30 Trust & Risk in Autonomous Systems
13:30 Trend #2: Decision Intelligence
14:50 Trend #3: Small Language Models
15:50 Trend #4: Action Pipelines
16:30 Will AI Replace Data Scientists?
18:00 Human-Centered Data Science
20:00 The Future of AI Native Companies
22:00 What Students Should Focus On
25:00 Rapid Fire
26:00 Final Thoughts

🔥 Closing Thought

We’re not moving from data → insights anymore.
We’re moving from data → decisions → actions.

And that changes everything.

⚡ Key Takeaways

• AI is shifting from analysis to execution
• Dashboards are dying — decision engines are rising
• Trust in AI will define enterprise adoption
• Smaller, task-specific models will dominate enterprise AI
• The “how” is automated — the “why” stays human
• Future talent = systems thinking + domain knowledge
• AI-native companies will outperform traditional ones

CONNECT WITH THE GUEST
Divya Krishna
LinkedIn: https://www.linkedin.com/in/divya-krishna-ramakrishna-08816518/
Website / Company: https://datastride.ai/

CONNECT WITH THE HOST
Sachin Menon, Founder and CEO, Techsigma Global
LinkedIn:https://www.linkedin.com/in/sachin-menon-techsigma-technology/
Techsigma Global: https://techsigmaglobal.com

ABOUT 101 TALKS
101 Talks is a podcast where founders, operators, and business leaders share the real story behind building companies. Hosted by Sachin Menon, Founder and CEO of Techsigma Global, Bangalore.

If this conversation gave you one new idea, hit subscribe and share it with someone building something. It helps more than you think.

A loan officer submits a file. It comes back reviewed in 12 seconds. He submits another. Then another. By lunch, his entire month's backlog is cleared. His manager calls to check why he is not working. He says he is supervising the AI. The manager promotes the AI.

That story sets up everything Ankur Patel is building at Multimodal, and this conversation goes deep into why agentic AI in financial services is harder, more regulated, and far more defensible than anything a general-purpose tool can offer.

ABOUT THE GUEST
Ankur Patel is the Founder and CEO of Multimodal, a company building agentic AI for the most complex workflows in financial services including loan underwriting, insurance claims, and KYC. Before Multimodal, he worked at JP Morgan and Bridgewater, built and sold two startups, wrote two books published through O'Reilly, and hosts his own podcast covering AI in financial services. He is a Princeton graduate based in New York with over 15 years at the intersection of finance, data, and machine learning.

REFERENCES AND RESOURCES MENTIONED

Crossing the Chasm by Geoffrey Moore — https://www.goodreads.com/book/show/61329.Crossing_the_Chasm

GLOSSARY
#kyc : Stands for Know Your Customer. A regulatory process that banks and financial institutions must follow to verify the identity of their clients. It typically involves collecting and reviewing documents to prevent fraud and money laundering.
#underwriting : The process by which a financial institution evaluates the risk of offering a loan or insurance policy. It involves reviewing financial documents, applying decision criteria, and deciding whether to approve an application.
#agenticai : AI systems that can plan and execute multi-step tasks with minimal human input. Unlike a chatbot that answers a single question, an AI agent can read a document, extract data, run calculations, flag issues, and generate a report all in sequence.
Mid-market banking: A segment of the banking industry that includes community banks, credit unions, and smaller regional lenders. These institutions are too large for consumer-only solutions but often lack the engineering teams of major enterprise banks.

CONNECT WITH THE GUEST
Ankur Patel
LinkedIn: https://www.linkedin.com/in/ankurpatel9/
Website / Company: https://www.multimodal.dev/

CONNECT WITH THE HOST
Sachin Menon, Founder and CEO, Techsigma Global
Youtube: :https://www.youtube.com/@thatbluecoatguy

LinkedIn:https://www.linkedin.com/in/sachin-menon-techsigma-technology/
Techsigma Global: https://techsigmaglobal.com

ABOUT 101 TALKS
101 Talks is a podcast where founders, operators, and business leaders share the real story behind building companies. Hosted by Sachin Menon, Founder and CEO of Techsigma Global, Bangalore.

If this conversation gave you one new idea, hit subscribe and share it with someone building something. It helps more than you think.

#AnkurPatel, #MultimodalAI, #agenticai #financialservices, #loanunderwritingAI, #insuranceclaimsautomation

And hey, if your Monday morning sounds dreadfully dull and paperwork-heavy, now you know who to call. The future of finance is AI-mazing, and Ankur’s here to lead the charge!