Inside AsembleAI: DeepTech, AI & Science

Mac & Sam

AsembleAI brings you thought-provoking conversations at the nexus of artificial intelligence, innovation, and leadership. In each episode, hosts Mac and Sam, veterans in data and tech world, sit down with AI researchers, fast‑scaling founders, Fortune 500 executives, and pioneering technologists to reveal how AI is reshaping business strategy, sparking breakthrough product development, and guiding executive decisions. Tune in for actionable insights, compelling case studies, and forward‑looking perspectives on the promises and pitfalls of AI‑driven innovation.

  1. EP 48: AI Transforms Soccer: Premier League Analytics Revolution

    APR 30

    EP 48: AI Transforms Soccer: Premier League Analytics Revolution

    68.5 billion euros in EPL betting annually. 1.4 million data points per match. Soccer sits at the absolute center of the AI revolution, and it's transforming the world's most popular sport from officiating to tactical analysis. In Episode 2 of our "AI in Sports Analytics" series, hosts Sam Dave and Mac Goswami explore how AI fundamentally changed soccer from 2020-2025. Revolutionary Technology: Semi-Automated Offside Detection (EPL 2024-25): Calibrated cameras + AI algorithms measure player positions with centimeter-level precision. Pioneered at 2022 Qatar World Cup, now standard across elite leagues. Processes data faster than humans, eliminating decades of controversial calls. Player Tracking: Optical systems track each player 25x/second, detecting invisible tactical patterns. Game-changer: Standard TV footage now generates tracking data previously requiring expensive dedicated cameras. Smaller-budget teams access insights once reserved for Barcelona, Manchester City, Bayern Munich. Match Prediction: 69-78% accuracy with ensemble models. Challenge: Soccer is harder to predict than basketball/baseball due to lower scoring and higher randomness. One lucky deflection can decide a match despite dominating possession. Real-World Impact: Tactical Analysis (March 2025 study): Real-time computer vision tracks all players, ball, formations simultaneously. Coaches see which tactical adjustments opponents made in the 67th minute three weeks ago and how they affected passing networks. Large Events Model (2024): Deep learning framework simulates games from any state. Test tactical approaches against AI-simulated opponents before stepping onto the pitch. Economic Impact: Sports analytics market: $1.03B (2024) → $2.61B (2030). AI-powered betting analytics provide sophisticated predictions. The Reality: AI reveals tactical sophistication fans never saw. That perfect through ball required reading three defenders' positioning, understanding striker's running profile, executing with millimeter precision. AI helps us see genius, not replace it. Subscribe: Spotify | Apple Podcasts | Amazon Music | iHeart Radio | YouTube Next: Baseball AI revolution #SoccerAnalytics #AIFootball #EPL #SportsAnalytics #AsembleAI

    15 min
  2. EP 47: AI Revolutionizes Basketball: NBA Analytics 2020-2025

    APR 29

    EP 47: AI Revolutionizes Basketball: NBA Analytics 2020-2025

    1.4 million data points per game. NBA teams now track every player movement, defensive rotation, and shot attempt with AI-powered analytics—and it's transforming professional basketball in real-time. In this first episode of our "AI in Sports Analytics" series, hosts Sam Dey and Mac Goswami explore how the NBA and WNBA embraced AI more aggressively than any other league. Game-Changing Technology: SportVU Tracking System captures 29 data points per player, tracking all 22 players 10x/second and the ball 25x/second. Second Spectrum uses computer vision to extract data directly from broadcast video—no specialized cameras needed. NBA-AWS Partnership (Oct 2025): "Inside the Game" platform turns billions of data points into compelling insights, introducing AI-powered stats measuring performance never quantified before. Game Prediction: 87% accuracy with ensemble machine learning models (up from 65-70% five years ago). Models now weight three-point efficiency and spacing metrics heavily since the game evolved post-2015. Real-World Impact: Boston Celtics (2024-25): AI models refined defensive schemes using spatiotemporal data, contributing directly to playoff success. Golden State Warriors: Physical AI robots assist practice—rebounding, passing drills, simulating defensive plays. Steph Curry: "Robots provide consistent data-driven feedback humans can't match." Philadelphia 76ers: Large language models now participate as "a vote in any decision"—draft picks to game strategies. Broadcast Revolution: AWS Play Finder analyzes thousands of games, retrieving similar plays in milliseconds. Expected Field Goal models account for defender positioning, pressure, fatigue—not just distance. The Reality: AI predicts trends exceptionally well, but human elements—leadership, clutch performance, chemistry—resist quantification. 87% accuracy doesn't eliminate competitive balance when base-level data is universally available. Subscribe: Spotify | Apple Podcasts | Amazon Music | iHeart Radio | YouTube Next: Soccer/Football AI revolution #NBAnalytics #AIBasketball #SportsAnalytics #NBAtech #AsembleAI

    17 min
  3. EP 46: New Collar Jobs: Emerging Roles That Only Exist Because of AI

    APR 28

    EP 46: New Collar Jobs: Emerging Roles That Only Exist Because of AI

    143% growth for AI Engineers. 136% for Prompt Engineers. 135% for AI Content Creators. These aren't niches—they're fundamental new careers that couldn't exist before AI. In this final "Who Survives the AI Shift" episode, Sam Dey and Mac Goswami reveal 16 brand-new job titles from 2025: Knowledge Architect, Orchestration Engineer, Conversation Designer, Human-AI Collaboration Leader. Top Emerging Roles: Prompt Engineer ($123K avg, top $200K+) - Building systematic AI outputs at scale. 40% fewer hallucinations, 60% better brand alignment. AI Model Trainer - Fine-tune algorithms. Requires technical skills + deep industry knowledge. AI Ethics Officer & Safety Analyst - Critical for governance in regulated industries. Assess biases, develop risk protocols. Data Curator - Most accessible entry point. Domain expertise matters more than degrees. Conversation Designer/NLP Engineer - Build chatbots, virtual assistants, translation systems. AI Product Manager - Bridge technology and business with deep AI understanding. AI Program/Project Manager - Handle AI implementation, operations, budgets. Huge growth projected. Where Jobs Are: Big Tech (Google, Microsoft, Amazon), AI-Native (OpenAI, Anthropic), Traditional Enterprises (JPMorgan, hospitals, retail) The Reality: New collar jobs exist at AI capability + human necessity intersection. Better AI needs MORE human oversight, not less. Consulting and freelancing booming—work that took days now takes hours. The future belongs to those treating AI as collaborative tool, not competitive threat. Subscribe: Spotify | Apple Podcasts | Amazon Music | iHeart Radio | YouTube | Podbean #AIJobs #PromptEngineer #FutureOfWork #AsembleAI

    20 min
  4. EP 45: Reskill or Perish? How to Future-Proof Your Career Against AI | Inside AsembleAI

    APR 22

    EP 45: Reskill or Perish? How to Future-Proof Your Career Against AI | Inside AsembleAI

    50% of employees need reskilling by 2026-RIGHT NOW. Are you ready, or already falling behind? In this critical episode of "Who Survives the AI Shift," hosts Sam Dave and Mac Goswami expose the brutal reality: only 49% of employees feel equipped for their roles (down from 59% in 2024). Gen Z confidence crashed 20 points to 39%. The gap between awareness and action is where careers die. Key Takeaways: The Training Disconnect: 37% of employers claim they offer reskilling programs Only 28% of employees confirm these exist Companies check boxes without ensuring actual completion Skills That Matter for 2030: AI & big data, cybersecurity, technological literacy Creative thinking, resilience, curiosity Winning combo: Technical fluency + human capabilities AI can't replicate Subscribe: Spotify | Apple Podcasts | Amazon Music | iHeart Radio | YouTube | Podbean #Reskilling #AICareer #FutureProof #Upskilling #DataLiteracy #LifelongLearning #AsembleAI

    20 min
  5. EP 44: How AI Is Transforming Filmmaking - From Fear to Creative Amplification

    APR 12

    EP 44: How AI Is Transforming Filmmaking - From Fear to Creative Amplification

    Can AI amplify filmmaking creativity without killing the craft? Season 4 guest Sam Joos—20-year filmmaker, founder of AI Ad Studio and AI Film Society - shows how generative AI is transforming commercial production from $500K budgets to bedroom studios. Key Insights: The Breakthrough Moment: "Once I started prompting AI like I'd talk to a crew member on set, the cheat code unlocked." Sam went from AI skeptic to teaching 50+ filmmakers how to adapt. The Economics Shift: Traditional commercials: $30K-$500K, 2-6 month turnarounds AI-powered: Shoot "London scenes" from home, deliver in 1-2 weeks Reality check: "It's not an easy button—taste and expertise still determine quality" Quality vs. "AI Slop": What separates great AI work? Traditional filmmaking fundamentals-lighting, framing, camera movement, lens choice. "Hand a cinema camera to someone untrained—it'll look horrible. Same with AI tools." Democratizing Film: Breaking Hollywood's gatekeeping: Midwest creators can now visualize ideas without industry connections, red carpets, or million-dollar budgets. Your First Steps: Study films/commercials you love—analyze what moves you Learn cinematic vocabulary: shallow depth of field, steadicam, dolly shots Research lighting, camera work, color grading techniques Apply filmmaking knowledge to AI tools (MidJourney, Runway, Pika) Build taste before prompts Connect with Sam Joos: 🎬 AI Ad Studio 🎥 AI Film Society - Free resources, job boards, global community 📸 Instagram: @samjoosai The Verdict: AI doesn't replace filmmakers, it creates AI-enhanced creators who blend craft with technology. Subscribe: Spotify | Apple Podcasts | Amazon Music | iHeart Radio | YouTube

    45 min
  6. EP 43: On the Chopping Block - Roles Most Vulnerable to AI Automation Right Now

    APR 4

    EP 43: On the Chopping Block - Roles Most Vulnerable to AI Automation Right Now

    Which jobs are AI eliminating right now—not in five years, but today? In this hard-hitting episode of Inside AsembleAI, hosts Sam Dave and Mac Goswami examine the roles facing immediate AI displacement, backed by 2025 data showing actual job losses happening across industries. This is the episode nobody wants to hear but everyone needs to understand. What You'll Discover: Customer Service: The First Major Casualty 80% automation potential by 2025 (up from 60% recently) 2.8 million US customer service jobs at risk; 2.24 million likely displaced by 2025 Real examples: Dukaan replaced 27 agents with ChatGPT bot, cut costs 99%, maintained 85% satisfaction IBM's AskHR handles 11.5M interactions annually with 5% human oversight, resolves 78% without escalation Why customers now prefer bots: 62% choose chatbots over waiting, 74% prefer bots for simple questions $8 billion in annual business savings driving rapid adoption Data Entry: 7.5 Million Jobs on the Line Companies using AI form processing saw 56% reduction in data entry hiring rates Why it's vulnerable: quintessentially routine work—pattern matching, structured rules, accuracy-measured tasks AI eliminates human data quality issues while working faster and more consistently Entry-Level White Collar Jobs: The Vanishing Career Ladder Anthropic CEO Dario Amodei's prediction: AI could eliminate half of entry-level white collar jobs within 5 years Entry-level marketing assistant roles dropped 31% since 2022 Big Tech new graduate hiring down 25% (2024 vs 2023) Why entry-level specifically? Junior work = grunt work that AI now handles instantly The pipeline problem: eliminating training grounds that created pathways to senior positions The Timeline Is NOW—Not Later: Salesforce cut 4,000 customer support roles (9,000 → 5,000) Sky Telecom eliminated 2,000 customer service jobs Microsoft laid off software engineers while CEO Satya Nadella revealed 30% of company code is now AI-written Displacement accelerating through 2027-2028 Critical Risk Factors for Your Job: ✓ Routine, predictable tasks ✓ Primarily data processing or pattern recognition ✓ Structured environments with consistent rules ✓ Cost savings dramatically outweigh human value-add Who Bears the Biggest Risk: Southeast Asia: 52% increase in logistics/warehousing displacement since 2023 Women: 9.6% at highest automation risk vs 3.2% for men (concentration in admin/customer service) Urban vs rural divide: 38% urban job postings include AI vs 14% rural What You Should Do RIGHT NOW: Mac and Sam's urgent action plan: Upskill toward AI-adjacent positions - learn to supervise, quality-check, and improve AI outputs Transition to roles requiring human judgment - physical work, emotional intelligence, regulatory oversight Pursue structural barriers - healthcare, skilled trades, positions AI can't easily automate Don't wait - executives already rewarding employees who smartly implement AI into workflows The Brutal Truth: If your tasks can be described in a detailed manual that someone could follow without judgment calls, AI can and likely will replace you. This isn't about being good at your job—it's about whether your job's fundamental nature aligns with AI's strengths. Subscribe for the complete AI jobs series: YouTube, Spotify, Apple Podcasts, and Substack for in-depth articles.

    17 min
  7. EP 42: Safe Zones - Jobs AI Will Augment, Not Replace (And Why)

    APR 4

    EP 42: Safe Zones - Jobs AI Will Augment, Not Replace (And Why)

    Not all jobs are at risk from AI automation. In this episode of Inside AsembleAI, hosts Sam Dey and Mac Goswami reveal the safe zones—careers where AI enhances human work rather than eliminating it-and explain the crucial "why" behind these patterns so you can evaluate your own role's resilience. What You'll Learn: Healthcare: The Clearest Example of AI Augmentation 34 million new healthcare roles emerging by 2030 globally Nurse practitioners projected to grow 52% from 2023-2033 AI healthcare spending rising from $15.1B to $19.8B, but it's augmenting, not replacing clinicians Why patients will always demand human faces for life-altering decisions—the trust factor AI can't overcome AI handles 15% (imaging, scheduling, protocols) while humans retain 85% (emotional support, complex diagnosis, ethical decisions) The Four Traits of Automation-Resistant Careers: Non-routine physical tasks in unstructured environments Real-time sensory perception and 3D motor skills Contextual problem-solving that can't be reduced to data Human judgment under uncertainty and emotional complexity Industries Where Humans Remain Essential: Skilled Trades & Technical Work: Electricians, plumbers, construction workers face minimal AI threat Why troubleshooting a 100-year-old building requires detective work AI can't replicate 95% of skilled trade work demands hands-on human expertise navigating messy real-world constraints Creative Leadership & Strategy: Brand directors, creative directors, strategic planners operating at psychology-culture-business intersection AI can draft content and analyze data (25% augmentation), but humans set vision and cultural direction Risk-taking, ethical accountability, and counter-cultural choices require human judgment Why AI struggles to navigate demographic sensitivities and cultural nuances in creative work Education & Mentorship: Teachers won't be replaced because learning is fundamentally social AI tutors handle 20% (grading, practice, supplemental content) Humans retain 80% (inspiration, mentorship, emotional vs. intellectual struggle recognition) Special needs students, artistic children, and classroom dynamics demand emotional intelligence AI lacks Your Career Action Plan: Sam and Mac provide practical guidance to audit your role: Identify automation risks: routine data processing, predictable patterns, structured environments Identify augmentation opportunities: human judgment, physical work, creative problem-solving, emotional intelligence Position yourself toward augmentation and embrace AI tools for routine tasks The Bottom Line: Safe zones aren't static—they're determined by current AI capabilities and economic feasibility. As technology advances, new tasks requiring uniquely human skills will emerge. The jobs that remain safe provide value that's either technically impossible or economically impractical for AI to replicate. Subscribe for More: Don't miss the next episode covering roles most vulnerable to AI automation. Subscribe on YouTube, Spotify, Apple Podcasts, and join our Substack for in-depth AI analysis.

    15 min
  8. EP 41: The AI Job Apocalypse - Myth vs Reality | What the Data Actually Shows

    APR 4

    EP 41: The AI Job Apocalypse - Myth vs Reality | What the Data Actually Shows

    Is AI really coming for your job? Or is the "AI apocalypse" just another tech scare story? In this episode of Inside AsembleAI, hosts Sam Dave and Mac Goswami cut through the fear-mongering headlines to examine what's actually happening in the AI job market right now - backed by hard data from the World Economic Forum, SHRM, Goldman Sachs, and Microsoft research. What You'll Discover: The Real Numbers Behind AI Displacement: 85 million jobs displaced by 2025—but 97 million NEW roles created (net gain of 12 million jobs globally) 23.2 million US jobs already 50%+ automated, yet 63.3% have barriers preventing complete replacement Why Microsoft's 200,000-user study shows AI is augmenting work, not eliminating it wholesale Who's Actually at Risk: 58.87 million women vs. 48.62 million men in high-exposure roles—the demographic disparity nobody's discussing Why workers aged 18-24 are 129% more likely to fear job loss than those over 65 How 49% of Gen Z believes AI has devalued their college education The Historical Context: Why 85% of employment growth since 1940 came from tech-driven job creation, not destruction The pattern repeats: World Wide Web, cloud transition, and now AI—lessons from past transformations Goldman Sachs research: 0.3-point unemployment bumps are temporary, fading within two years The New Jobs AI Is Creating: 350,000 emerging positions: Prompt engineers, AI ethics officers, human-AI collaboration specialists The catch: 77% require master's degrees—creating accessibility challenges for displaced workers Real examples from Microsoft, Cisco, Intel, and Meta layoffs vs. new AI role hiring What This Means for YOU: Sam and Mac break down the transition vs. devastation reality—why this moment mirrors the World Wide Web revolution and cloud computing shift. You'll learn why pretending everything's fine OR catastrophizing about mass unemployment both miss the mark. Subscribe for More AI Insights: Don't miss our next episode covering jobs AI will augment (not replace) and why those safe zones exist. Hit subscribe on YouTube, Spotify, or Apple Podcasts, and sign up for our Inside AsembleAI newsletter for weekly AI industry analysis. Perfect for: Tech professionals, business leaders, career changers, students planning their future, and anyone wondering how AI will reshape work in the next five years.

    13 min
See All (48)

About

AsembleAI brings you thought-provoking conversations at the nexus of artificial intelligence, innovation, and leadership. In each episode, hosts Mac and Sam, veterans in data and tech world, sit down with AI researchers, fast‑scaling founders, Fortune 500 executives, and pioneering technologists to reveal how AI is reshaping business strategy, sparking breakthrough product development, and guiding executive decisions. Tune in for actionable insights, compelling case studies, and forward‑looking perspectives on the promises and pitfalls of AI‑driven innovation.

Information

You Might Also Like