Deep Intellica is a forward-thinking AI consultancy and solutions provider dedicated to helping organizations harness the transformative power of artificial intelligence. Founded by Thorsten Meyer, a Munich-based futurist, author, and commentator, Deep Intellica specializes in delivering tailored AI solutions that drive innovation and efficiency across various industries.
Deep Intellica is an independent, research‑driven publication devoted to helping readers make sense of a world where intelligent machines reshape work, wealth and daily life faster than policies, skills and social norms can keep up. From data‑rich explainers on post‑labor economics to field reports on warehouse robots, our journalism sits at the intersection of technology, markets and society—grounded in evidence and allergic to hype.
Our Mission
The World Economic Forum estimates that 23 % of today’s roles will change materially or disappear by 2030 as companies accelerate AI, cloud and robotics adoption. At the same time, OECD modelling suggests that fully diffused AI could lift global total‑factor productivity by up to 0.6 percentage points a year, even as the International Labour Organization warns of flat real‑wage growth for millions of workers.
Deep Intellica exists to map this tension—between unprecedented efficiency gains and profound labour‑market upheaval—and to equip readers with the context, numbers and vocabulary to shape better outcomes.
What We Cover
Post‑Labor Economics
We track the macro forces behind a future where paid work becomes a smaller share of human activity. From universal basic income pilots to robot‑tax proposals, our analysis highlights both bold experiments and sober modelling. The IMF’s latest simulations show higher‑income workers are no longer immune to displacement risk when AI rivals cognitive skills once deemed scarce.
Automation & Jobs
Whether an autonomous forklift in Ohio or a generative‑AI coding tool in Bangalore, we investigate how tasks move from humans to machines, who gains, who loses and what reskilling really costs. Harvard Business Review field tests, for instance, find that generative‑AI assistants can cut white‑collar task time by roughly 40 %, but Brookings research shows a parallel drop in workers’ sense of job meaningfulness when robots enter the workflow.
Reality Check
Alarmist headlines can obscure nuance. We compare the data behind doomsday forecasts—like projections that automation could eliminate 300 million jobs globally—with counter‑evidence on job creation, new industries and policy buffers, ensuring readers see the full picture.
Why Trust Us
- Evidence first. Every claim links to primary research, from Pew surveys showing 52 % of U.S. workers worry AI will harm their prospects to Stanford’s AI Index charting a record $109 billion in U.S. private AI investment in 2024.
- Independence. Deep Intellica accepts no payment for coverage and maintains a strict wall between editorial and any future commercial activities.
- Transparency. We disclose data sources, methods and potential conflicts on every article page—because clarity builds credibility.
Deep Intellica’s mission is to translate cutting-edge AI research into real-world applications that empower businesses to adapt and thrive in an increasingly digital landscape.
Our Editorial Principles
- Rigor over rhetoric – We synthesize peer‑reviewed studies, regulatory filings and on‑the‑ground reporting before drawing conclusions.
- Human impact lens – Technology stories matter to us only insofar as they touch livelihoods, dignity and shared prosperity.
- Global perspective – From the EU’s Platform‑Work Directive—poised to reclassify millions of gig workers as employees—to automation surges in emerging markets, we follow the evidence wherever it leads.
- Constructive scepticism – We challenge both techno‑utopian promises and collapse narratives, spotlighting policies that actually work.
How We Work
- Data pipelines blend public datasets, proprietary scraping and expert interviews.
- Open notebooks accompany many investigations, enabling readers to replicate charts or run alternative scenarios.
- Iterative publishing means articles update as fresh evidence—such as new Brookings analysis of generative‑AI labour impacts—emerges.
Join the Conversation
Nearly half of workers say they feel overwhelmed by AI’s workplace future. Deep Intellica hosts livestreams where readers quiz economists, ethicists and technologists on the latest findings, and our open Slack channel welcomes debate, critique and story tips.
If you share our conviction that societies should shape automation—rather than be shaped by it—subscribe to our weekly briefing and be part of an evidence‑based community charting the road beyond traditional labour. For more information or to explore collaboration opportunities, please contact Thorsten Meyer at contact@deepintellica.com.
