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AI job fears linked to lower trust in democracy

“Artificial intelligence is a so-called general-purpose technology that will fundamentally change our economic and social system,” said Andreas Raff.

How can fears about AI replacing jobs impact trust in democracy? This is what a recent study published in the Proceedings of the National Academy of Sciences hopes to address as a team of researchers from Germany and Austria investigated how the perception of AI replacing jobs could erode trust in political attitudes. This study has the potential to help scientists, legislators, and the public better understand the impact of AI beyond professional and personal markets, and how it could impact political societies.

For the study, the researchers conducted two separate surveys designed to obtain public perception regarding AI’s impact on the job market and how this could influence political attitudes. The first survey was comprised of 37,079 respondents with an average age of 48 years with 48 percent men and 52 percent women from 38 European countries and conducted from April to May 2021. The goal of this first survey was to ascertain perceptions of whether AI was considered as job-replacing or job-creating and how this impacts trust in political establishments. The second survey was comprised of 1,202 respondents from the United Kingdom with an average age of 47 years, and the goal of this second survey was to ascertain perceptions regarding identify causes for this relationship.

In the end, the researchers found that respondents who viewed AI more as job-replacing than job-creating also carried a perception of a lack of trust in political establishments. The researchers also found that respondents who were informed that AI will replace jobs caused them to have a distrust in political establishments.

Sami Tellatin — Kilimo — Leading The Way To A Water-Positive Future

Leading The Way To A Water-Positive Future — Sami Tellatin — Head of Water & Climate Solutions, [Kilimo](https://www.facebook.com/agrokilimo?__cft__[0]=AZYVjPpsA2hiLM5-TRnxJRoTmkVIP8k9Hro7mpHQd6HkG9roy2B0jBJyWOF7RxuqTpjcE0BjwYcznt__ZsPQBKTYGtf5mRXVr0xUT7RzlbzkSECEuWuYt0aFqjGwwCAKMCXdjJofqt5U9mF08TfSYqYpa8pmedmmVDH3rTrwH4QaMQKi6UK55095pUIWFEwu4DM&__tn__=-]K-R)

Sami Tellatin is Head of Water & Climate Solutions at Kilimo (https://kilimo.com/en/), an organization that connects companies with farmers in the same watershed to implement water-positive practices, generate measurable water savings, and secure resources for both communities and companies.

Kilimo’s operations already span 7 countries, helping steward water resources across more than 500,000 acres of land and partnering with global leaders like Microsoft, Google, Amazon, and major CPGs.

In her role, Sami leads the design and deployment of scalable water-positive solutions that help companies, farmers, and communities address water scarcity through more efficient and sustainable irrigation practices.

Prior to this role, Sami co-founded FarmRaise, an enterprise that unlocks funding for farmers and ranchers seeking to invest in their profitability and sustainability, allowing farmers to learn which public and private funding opportunities they’re eligible for and streamlines the application process, moving the industry toward one common application that unlocks funding to drive conservation practice adoption.

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‘Largest Infrastructure Buildout in Human History’: Jensen Huang on AI’s ‘Five-Layer Cake’ at Davos

From skilled trades to startups, AI’s rapid expansion is the beginning of the next massive computing platform shift, and for the world’s workforce, a move from tasks to purpose.

At a packed mainstage session at the annual meeting of the World Economic Forum in Davos, Switzerland, NVIDIA founder and CEO Jensen Huang described artificial intelligence as the foundation of what he called “the largest infrastructure buildout in human history,” driving job creation across the global economy.

Speaking with BlackRock CEO Larry Fink, Huang framed AI not as a single technology but as a “a five-layer cake,” spanning energy, chips and computing infrastructure, cloud data centers, AI models and, ultimately, the application layer.

Ben & Marc: Why Everything Is About to Get 10x Bigger

The media and tech landscape is undergoing a significant transformation driven by advancements in AI, technology, and new structures, enabling entrepreneurs and companies to achieve exponential growth and innovation ## ## Questions to inspire discussion.

Building Your Own Platform.

🚀 Q: How can writers escape traditional media constraints? A: Launch on decentralized platforms like Substack where you build your own brand and business as a “non-fungible writer”, potentially creating organizations 10x larger than traditional media companies you’d work for.

💰 Q: What makes writer-led platforms attractive investments? A: Platforms become cornerstone franchises when writers only succeed by making the platform successful, creating aligned incentives that generate significant returns while enabling top talent to build independent businesses.

📊 Q: What content opportunity exists in decentralized media? A: A barbell market is emerging with mainstream filler content on one end and massive untapped demand for high-quality niche content on the other, creating opportunities across various specialized domains.

Leveraging AI for Business.

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Sam Altman Cornered by Discovery: Intent & Emails in Elon’s OpenAI Lawsuit

Elon Musk’s lawsuit against OpenAI and his own ambitious plans for AI and tech innovations, including new devices and massive growth for his companies, are positioning him for a major impact on the tech industry, but also come with significant challenges and risks ## Questions to inspire discussion.

Legal Risk Management.

🔍 Q: How does the discovery process threaten OpenAI regardless of lawsuit outcome?

A: Discovery forces exposure of sensitive internal information including Greg Brockman’s 2017 diary entries revealing intent to become for-profit and violating prior agreements with Elon Musk, creating reputational damage and investor uncertainty even if OpenAI wins the case.

⏱️ Q: Why is lawsuit timing particularly damaging to OpenAI’s competitive position?

A: The lawsuit hits during OpenAI’s massive capital raise preparation, forcing delays in fundraising and implementation that allow competitors like Google and Anthropic to advance while OpenAI falls behind, similar to how Meta became less relevant in the AI race.

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Tesla Robotaxis, AGI Myths, and the Real Economics of the Musk Economy

Elon Musk’s ventures, particularly Tesla’s robotaxis and advancements in AI, are poised to revolutionize the economy and society, with significant potential for growth, discovery, and profound implications for the future ##

## Questions to inspire discussion.

Robotaxi Economics & Business Model.

🚖 Q: What determines robotaxi success beyond achieving autonomy? A: Success depends on unit economics, fleet scalability, and supply elasticity during peak demand, not who reaches autonomy first, with the ability to integrate privately owned vehicles into a single economic system being critical.

💰 Q: What margin advantage does Tesla’s robotaxi model have over competitors? A: Tesla projects 35% margins by 2030, significantly higher than Uber’s 7.9% and Waymo’s break-even margins, enabling rapid revenue growth.

📈 Q: What revenue growth is expected for Tesla’s robotaxi business? A: Tesla expects 4.4-5x growth in robotaxi revenue over the next 5 years, potentially greater due to untapped use cases like long road trips.

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How AI and Quantum, And Space Are Redefining Cybersecurity

Sharing my latest Forbes article: by Chuck Brooks.

Thanks for reading and sharing!

#cybersecurity #tech #ai #quantum #space Forbes

Artificial intelligence and quantum computing are no longer speculative technologies. They are reshaping cybersecurity, economic viability, and managing risk in real time.

New research reveals a psychological shift triggered by the 2008 Great Recession

New research suggests the 2008 Great Recession fundamentally altered how Americans perceive their social standing. An analysis of over 160,000 people indicates the economic shock caused a widespread decline in class identity that persisted long after the market recovered.

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