Artificial Intelligence and the Future of Work
Recent AI advancements may reshape job markets by complementing or replacing human labor. The National Academies' report emphasizes the need for education, collaboration, and data collection to address associated risks.
Read original articleRecent advances in artificial intelligence (AI) have sparked renewed interest among policymakers and the public regarding its implications for jobs and the workforce. The National Academies' report highlights that AI technology is at a pivotal moment, with generative AI systems like ChatGPT rapidly evolving. These advancements could either complement or replace human labor in various tasks, significantly reshaping job markets. However, predicting the exact nature and timing of these changes remains challenging. The report emphasizes the importance of collecting and sharing information on AI's adoption and its impact on workforce demands, which can empower workers and decision-makers. Access to continuing education is crucial for workforce adaptation, as AI will likely alter the types of expertise required in various fields. While AI has the potential to enhance productivity and create new job opportunities, it also poses risks such as job displacement, wage disparities, and societal challenges like privacy concerns and bias. The report calls for intentional design of AI systems that align with societal values, improved data collection on AI's workforce impacts, and policies to ensure equitable distribution of AI's benefits. Overall, the report underscores the need for collaboration among various stakeholders to navigate the evolving landscape of AI and work.
- AI advancements could reshape job markets, complementing or replacing human labor.
- Access to continuing education is essential for workforce adaptation to changing job demands.
- There are risks associated with AI, including job displacement and increased inequality.
- Collaboration among policymakers, businesses, and educators is crucial for equitable AI deployment.
- Ongoing data collection and analysis are needed to understand AI's impact on the workforce.
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>Substantial and ongoing improvements in AI’s capabilities, along with its broad applicability to a large fraction of the cognitive tasks in the economy and its ability to spur complementary innovations, offer the promise of significant improvements to productivity and implications for workforce dynamics.
I keep waiting for the industry shifting changes to materialise, or at least begin to materialise. I see promise with the coding tools, and personally find Claude and Cursor like tools to warrant some of the general hype, but when I look around for similar changes in other tangentially related roles I draw a blank. Some of the Microsoft meeting minute summaries are good, while the transcripts are abysmal. These are helpful, but not necessarily game changing.
Hallucinations, or even the risk of hallucinations, seem like a fundamental show stopper for some domains where this could otherwise be useful. Is this likely to be overcome in the near future? I'd assume it's a core area of research, but I know nothing of this area, so any insights would be enlightening.
What other domains are currently being uplifted in the same way as coding?
These points made sense to me: it is impossible to predict what will actually happen, we need better pro-level tools for AI assistance (e.g. Copilot, writer autocomplete, ControlNet) rather than AI as a full replacement, and we need better and clearer paths to retraining and job mobility.
I disagreed with only one point in there: that research is needed for ways to compensate people for the use of their creative works, but that is solely because of my pro-free-cultural moral views. The rest of the article is still good.
This can go one of two ways:
1. Fewer jobs will be used to further suppress wages. What little wages people earn will be used for essentially subsistence living. The extreme end of this is like the brick kiln workers in Pakistan, India and Bangladesh. A lot of people, myself included, call this neofeudalism because you will be a modern day serf. The welath concentration here will be even more extreme than it is now. We're also starting to see this play out in South Korea; or
2. The created wealth will elevate the lowest among us so work becomes not required but a bonus if you want extra. The key element here is the removal of the coercive element of capitalism.
To put this in perspective, total US corporate profits are rapidly approaching $4T per quarter. That's roughly $60,000 per US adult. Some would call that the exploited surplus labor value.
Here's another number: we've spent something like $10T on the War on Terror since 9/11. What could $10T buy? Quite literally everything in the United States of America other than the land.
What's depressing is that roughly half the country is championing and celebrating our neofeudalist future even though virtually none of them will benefit from it.
Related
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AI is impacting computer science education and the job market, with studies showing mixed effects on learning. Curricula will adapt, emphasizing responsible AI, while new job roles will emerge alongside automation.
There's Just One Problem: AI Isn't Intelligent
AI mimics human intelligence without true understanding, posing systemic risks and undermining critical thinking. Economic benefits may lead to job quality reduction and increased inequality, failing to address global challenges.
"Bogey of Technological Unemployment"
Concerns about AI replacing jobs reflect historical anxieties about technological unemployment. While AI may transform roles, it is expected to create new opportunities, necessitating adaptation to balance job creation and displacement.
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Advancements in AI will enhance human capabilities and problem-solving, with deep learning playing a crucial role. Equitable access requires reduced computing costs, while the transition presents opportunities and challenges.
Ask HN: Let's assume AI does take developer jobs. What's the pivot?
The debate on AI's impact on employment reveals mixed opinions, with concerns about job loss contrasted by optimism. A proactive approach emphasizes adaptability and exploring alternative career paths.