GPTs Pose Significant Impact on the US Labor Market

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📰 GPTs Pose Significant Impact on the US Labor Market

♟️ User-Centric Solution to AI Job Losses

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GPTs Pose Significant Impact on the US Labor Market

Recent strides in the field of artificial intelligence (AI) have engendered apprehension and incited debate regarding their potential impact on the labor market of the United States. A joint research study entitled "The Impact of Generative Pre-trained Transformers on the U.S. Labor Market," undertaken in partnership between OpenAI and the University of Pennsylvania, probes the conceivable implications of AI-powered Generative Pre-trained Transformers (GPTs) on diverse occupations.

The investigation discloses that roughly 80% of the labor force in the United States could have at least 10% of their work tasks affected by the incorporation of GPTs. Moreover, around 19% of workers may confront at least 50% of their tasks influenced. GPTs' influence stretches across all salary levels, with more high-income occupations conceivably experiencing more significant exposure.

The inquiry accentuates that some professions are more prone to GPT capabilities than others. The occupations that are most affected include Search Marketing Strategists, Graphic Designers, Investment Fund Managers, Financial Managers, and Insurance Appraisers (Auto Damage).

To tackle the possible obstacles posed by GPTs, the authors recommend that employers and policymakers allocate resources toward instructional and educational programs that assist workers in acquiring skills that complement GPT capabilities. They also suggest exploring ways to redesign job roles and work processes to better harness the strengths of both humans and GPTs. Policymakers should also consider enacting policies that support workers who are displaced by GPTs.

Although GPTs can bring about significant improvements in efficiency and productivity, it is essential for employers and policymakers to weigh the potential advantages and disadvantages of integrating them into the labor force. Formulating strategies to mitigate any adverse effects on workers is crucial for a successful transition to a future where AI plays a more significant role in the economy.

In conclusion, the research paper underscores the significance of proactive measures by employers and policymakers in preparing for the transformations brought about by AI technologies like GPTs. By investing in instructional programs, revamping job roles, and enacting supportive policies for displaced workers, we can facilitate a seamless transition to a future where AI and GPTs contribute to the growth of our economy while minimizing negative repercussions on the labor market.

Read the research paper here.

Popn's Permission-Based Data Collection Offers a User-Centric Solution to AI Job Losses

Yesterday I was asked what Popn has to do with AI. The answer is simple after reading the article above, we need to be thinking of innovative solutions to soften the blow of job and work displacement caused by AI that is already happening. In an era of declining trust in large technology companies such as Google, YouTube, TikTok, and Meta, a new platform named Popn strives to disrupt the social media landscape by championing transparency, user control, and a more equitable distribution of advertisement revenue. Popn, which is an acronym for People Over Profits Network, seeks to redistribute 100% of net advertisement revenue to influencers, creators, and users while embracing the concept of permission-based data aggregation.

According to a 2019 survey conducted by Pew Research Center, 81% of Americans believe they have little to no control over the data that corporations collect about them, and 79% are apprehensive about how their data is being utilized. This mounting dissatisfaction with the status quo has driven the development of alternative platforms such as Popn, which provide users with greater control over their data while also providing advertisers with more targeted marketing opportunities.

Popn's approach to permission-based data collection enables users to choose what information they share, establishing a more transparent and trustworthy environment. This contrasts starkly with the traditional practices of large technology companies, which frequently collect and monetize users' data without giving them any control or compensation. By empowering users to determine who has access to their data, Popn fosters trust and increases the likelihood that users will willingly share their information.

In addition to benefiting users, permission-based data collection also holds huge benefits for advertisers. According to a study conducted by the Network Advertising Initiative, ads tailored to users' interests are more than twice as effective at generating revenue as non-targeted ads. By leveraging data that users willingly provide, advertisers on Popn can create more effective marketing campaigns, resulting in better outcomes and a higher return on investment.

As the discourse around data privacy and user control intensifies, platforms such as Popn may signify a significant shift in the digital landscape. The recent implementation of the European Union's General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) in the United States have already begun to force technology companies to reassess their data collection practices. Popn's emphasis on user control and permission-based data collection aligns with these emerging legal frameworks and may pave the way for similar platforms to gain traction.

By emphasizing transparency, user control, and equitable advertisement revenue distribution, Popn is positioned to challenge the dominance of large technology companies and reshape the future of social media, data privacy, and digital marketing. Although it remains to be seen whether Popn and comparable platforms can achieve widespread adoption, their emergence serves as a testament to the growing demand for a more equitable and user-centric digital experience.

Join the way-to-early waitlist here.

📼 Video Of The Day 📼

OpenAI CEO, CTO on risks and how AI will reshape society

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