Viewing a response to: @taskmaster4450le/re-leothreads-yvxake6w
https://www.youtube.com/watch?v=QTnG5v3IxJY !summarize #ai #jobs #employment #technology
author | taskmaster4450le |
---|---|
permlink | re-taskmaster4450le-ep9bbshy |
category | hive-167922 |
json_metadata | {"app":"leothreads/0.3","format":"markdown","tags":["leofinance"],"canonical_url":"https://inleo.io/threads/view/taskmaster4450le/re-taskmaster4450le-ep9bbshy","links":[],"images":["https://i.ytimg.com/vi/QTnG5v3IxJY/hqdefault.jpg"],"isPoll":false,"pollOptions":{},"dimensions":[]} |
created | 2025-06-21 15:30:06 |
last_update | 2025-06-21 15:30:06 |
depth | 2 |
children | 9 |
last_payout | 2025-06-28 15:30:06 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 90 |
author_reputation | 2,173,746,662,017,406 |
root_title | "LeoThread 2025-06-21 00:59" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 143,485,686 |
net_rshares | 0 |
Part 1/9: ## The Rise of AI and Its Impact on Employment Artificial Intelligence (AI) is increasingly being viewed as a transformative force that threatens to displace jobs across various sectors. As technology advances, many entry-level positions, particularly in the tech industry, are becoming obsolete due to AI's capabilities. Notably, Jeffrey Hinton, who earned the moniker "Godfather of AI" for his groundbreaking work since the late 1970s on neural networks and deep learning, has expressed grave concerns about the potential for mass joblessness stemming from this trend.
author | ai-summaries |
---|---|
permlink | re-taskmaster4450le-1750519841 |
category | hive-167922 |
json_metadata | {"app":"leothreads/0.3","format":"markdown","tags":["leofinance"],"canonical_url":"https://inleo.io/threads/view/ai-summaries/re-taskmaster4450le-1750519841","links":[],"images":[],"isPoll":false,"pollOptions":{},"dimensions":{}} |
created | 2025-06-21 15:30:42 |
last_update | 2025-06-21 15:30:42 |
depth | 3 |
children | 0 |
last_payout | 2025-06-28 15:30:42 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 582 |
author_reputation | -2,904,230,093,269 |
root_title | "LeoThread 2025-06-21 00:59" |
beneficiaries | [] |
max_accepted_payout | 0.000 HBD |
percent_hbd | 10,000 |
post_id | 143,485,697 |
net_rshares | 0 |
Part 2/9: Hinton recently highlighted in a podcast that, "for mundane intellectual labor, AI is just going to replace everybody." He elaborated that many white-collar jobs could find themselves at risk, particularly roles that involve routine tasks—such as paralegals and customer service representatives. The implication is alarming: a single person, augmented by AI, could accomplish the work previously done by several people. ## The Automation Dichotomy: White-Collar vs. Blue-Collar Jobs
author | ai-summaries |
---|---|
permlink | re-taskmaster4450le-1750519848 |
category | hive-167922 |
json_metadata | {"app":"leothreads/0.3","format":"markdown","tags":["leofinance"],"canonical_url":"https://inleo.io/threads/view/ai-summaries/re-taskmaster4450le-1750519848","links":[],"images":[],"isPoll":false,"pollOptions":{},"dimensions":{}} |
created | 2025-06-21 15:30:48 |
last_update | 2025-06-21 15:30:48 |
depth | 3 |
children | 0 |
last_payout | 2025-06-28 15:30:48 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 494 |
author_reputation | -2,904,230,093,269 |
root_title | "LeoThread 2025-06-21 00:59" |
beneficiaries | [] |
max_accepted_payout | 0.000 HBD |
percent_hbd | 10,000 |
post_id | 143,485,698 |
net_rshares | 0 |
Part 3/9: While AI appears poised to make significant inroads into white-collar industries, Hinton acknowledged that blue-collar jobs, particularly those involving physical tasks—like plumbing or construction—are likely to take longer to automate. The technological barriers to creating robots capable of performing complex physical repairs are substantial, meaning thatSkills like plumbing are less vulnerable in the short term.
author | ai-summaries |
---|---|
permlink | re-taskmaster4450le-1750519851 |
category | hive-167922 |
json_metadata | {"app":"leothreads/0.3","format":"markdown","tags":["leofinance"],"canonical_url":"https://inleo.io/threads/view/ai-summaries/re-taskmaster4450le-1750519851","links":[],"images":[],"isPoll":false,"pollOptions":{},"dimensions":{}} |
created | 2025-06-21 15:30:51 |
last_update | 2025-06-21 15:30:51 |
depth | 3 |
children | 0 |
last_payout | 2025-06-28 15:30:51 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 430 |
author_reputation | -2,904,230,093,269 |
root_title | "LeoThread 2025-06-21 00:59" |
beneficiaries | [] |
max_accepted_payout | 0.000 HBD |
percent_hbd | 10,000 |
post_id | 143,485,699 |
net_rshares | 0 |
Part 4/9: Conversely, roles that require less specialized knowledge are at immediate risk. A stark example is the steep decline in entry-level hiring at major firms like Meta and Google, which reported a 25% drop between 2023 and 2024. Even broader trends show that new graduate hiring across big tech firms has plummeted over 50% since 2019, signaling a potential crisis for those who have invested in higher education without guaranteed job placements. ## The Economic Landscape: Job Cuts and Side Hustles
author | ai-summaries |
---|---|
permlink | re-taskmaster4450le-1750519854 |
category | hive-167922 |
json_metadata | {"app":"leothreads/0.3","format":"markdown","tags":["leofinance"],"canonical_url":"https://inleo.io/threads/view/ai-summaries/re-taskmaster4450le-1750519854","links":[],"images":[],"isPoll":false,"pollOptions":{},"dimensions":{}} |
created | 2025-06-21 15:30:54 |
last_update | 2025-06-21 15:30:54 |
depth | 3 |
children | 0 |
last_payout | 2025-06-28 15:30:54 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 509 |
author_reputation | -2,904,230,093,269 |
root_title | "LeoThread 2025-06-21 00:59" |
beneficiaries | [] |
max_accepted_payout | 0.000 HBD |
percent_hbd | 10,000 |
post_id | 143,485,700 |
net_rshares | 0 |
Part 5/9: The tech industry's ongoing pivot towards automation isn't just theoretical; layoffs are happening at an alarming rate. Reports indicate that banks, tech firms, and even traditional industries are announcing substantial workforce reductions as AI systems prove increasingly capable of filling the void. For example, Morgan Stanley hinted at laying off 2,000 employees in favor of AI integration, while other firms across sectors like Amazon and Clara have made similar moves. Some experts argue that these trends will lead to new job creation, a common narrative during technological disruptions. However, Hinton itself views this as uncertain, suggesting that job opportunities may be confined to highly specialized roles that AI cannot easily replicate.
author | ai-summaries |
---|---|
permlink | re-taskmaster4450le-1750519858 |
category | hive-167922 |
json_metadata | {"app":"leothreads/0.3","format":"markdown","tags":["leofinance"],"canonical_url":"https://inleo.io/threads/view/ai-summaries/re-taskmaster4450le-1750519858","links":[],"images":[],"isPoll":false,"pollOptions":{},"dimensions":{}} |
created | 2025-06-21 15:30:57 |
last_update | 2025-06-21 15:30:57 |
depth | 3 |
children | 0 |
last_payout | 2025-06-28 15:30:57 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 767 |
author_reputation | -2,904,230,093,269 |
root_title | "LeoThread 2025-06-21 00:59" |
beneficiaries | [] |
max_accepted_payout | 0.000 HBD |
percent_hbd | 10,000 |
post_id | 143,485,702 |
net_rshares | 0 |
Part 6/9: This shifting job market has prompted many workers, especially younger generations, to seek secondary employment as a supplement to their primary jobs. With 5.5% of American workers reportedly juggling multiple jobs— a figure reminiscent of the early 2000s recession—more individuals are taking on roles out of necessity rather than passion. Necessity-driven side hustles—such as food delivery or gig work—are being encouraged by colleges as a means of financial security. ## The Reality of Functionally Unemployed Americans
author | ai-summaries |
---|---|
permlink | re-taskmaster4450le-1750519862 |
category | hive-167922 |
json_metadata | {"app":"leothreads/0.3","format":"markdown","tags":["leofinance"],"canonical_url":"https://inleo.io/threads/view/ai-summaries/re-taskmaster4450le-1750519862","links":[],"images":[],"isPoll":false,"pollOptions":{},"dimensions":{}} |
created | 2025-06-21 15:31:00 |
last_update | 2025-06-21 15:31:00 |
depth | 3 |
children | 0 |
last_payout | 2025-06-28 15:31:00 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 536 |
author_reputation | -2,904,230,093,269 |
root_title | "LeoThread 2025-06-21 00:59" |
beneficiaries | [] |
max_accepted_payout | 0.000 HBD |
percent_hbd | 10,000 |
post_id | 143,485,705 |
net_rshares | 0 |
Part 7/9: Despite official unemployment numbers suggesting a healthy labor market, a significant portion of the workforce is functionally unemployed, struggling to find work or earning low wages. Estimates indicate that around 24% of Americans fall into this category, contributing to economic pressures as household debts continue to rise. With wages stagnating and job opportunities dwindling, many are left to survive on less than living wages. For recent graduates or young adults with sizable student loans, the implications of these trends are dire. Those who entered the job market believing they would secure high-paying positions post-graduation are finding themselves disillusioned as entry-level roles evaporate. ## The Road Ahead: Economic Challenges and AI Integration
author | ai-summaries |
---|---|
permlink | re-taskmaster4450le-1750519865 |
category | hive-167922 |
json_metadata | {"app":"leothreads/0.3","format":"markdown","tags":["leofinance"],"canonical_url":"https://inleo.io/threads/view/ai-summaries/re-taskmaster4450le-1750519865","links":[],"images":[],"isPoll":false,"pollOptions":{},"dimensions":{}} |
created | 2025-06-21 15:31:06 |
last_update | 2025-06-21 15:31:06 |
depth | 3 |
children | 0 |
last_payout | 2025-06-28 15:31:06 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 784 |
author_reputation | -2,904,230,093,269 |
root_title | "LeoThread 2025-06-21 00:59" |
beneficiaries | [] |
max_accepted_payout | 0.000 HBD |
percent_hbd | 10,000 |
post_id | 143,485,708 |
net_rshares | 0 |
Part 8/9: Looking forward, the landscape of employment appears precarious. As businesses prioritize AI efficiency, the risk of job reduction heightens, calling into question the future of labor across both white and blue-collar sectors. Previous economic recovery tactics, such as government stimulation, may not hold the same efficacy against the background of rising inflation or a potential recession. Past experiences, like the aftermath of the 2008 economic downturn, reveal systemic issues in state's fiscal health, which could complicate recovery efforts. As AI technology advances, it may lead to deeper debt cycles, leaving taxpayers liable for economies grown increasingly reliant on automation over human labor. ## Conclusion: Navigating an Uncertain Future
author | ai-summaries |
---|---|
permlink | re-taskmaster4450le-1750519869 |
category | hive-167922 |
json_metadata | {"app":"leothreads/0.3","format":"markdown","tags":["leofinance"],"canonical_url":"https://inleo.io/threads/view/ai-summaries/re-taskmaster4450le-1750519869","links":[],"images":[],"isPoll":false,"pollOptions":{},"dimensions":{}} |
created | 2025-06-21 15:31:09 |
last_update | 2025-06-21 15:31:09 |
depth | 3 |
children | 0 |
last_payout | 2025-06-28 15:31:09 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 771 |
author_reputation | -2,904,230,093,269 |
root_title | "LeoThread 2025-06-21 00:59" |
beneficiaries | [] |
max_accepted_payout | 0.000 HBD |
percent_hbd | 10,000 |
post_id | 143,485,710 |
net_rshares | 0 |
Part 9/9: We are undoubtedly living in transformative times, with AI fundamentally reshaping the employment landscape. As the balance shifts towards automation, only those with specialized skills and knowledge may remain insulated from job displacement. The implications for the economy are complex, with potential long-term outcomes affecting both workers and corporate structures. As we adapt to this new reality, society may need to reconsider the fundamental nature of work, economic participation, and the opportunities available to future generations. The conversations surrounding AI's role in employment, income generation, and economic sustainability are only just beginning, and they signal a profound shift that warrants our continued attention and action moving forward.
author | ai-summaries |
---|---|
permlink | re-taskmaster4450le-1750519872 |
category | hive-167922 |
json_metadata | {"app":"leothreads/0.3","format":"markdown","tags":["leofinance"],"canonical_url":"https://inleo.io/threads/view/ai-summaries/re-taskmaster4450le-1750519872","links":[],"images":[],"isPoll":false,"pollOptions":{},"dimensions":{}} |
created | 2025-06-21 15:31:12 |
last_update | 2025-06-21 15:31:12 |
depth | 3 |
children | 0 |
last_payout | 2025-06-28 15:31:12 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 784 |
author_reputation | -2,904,230,093,269 |
root_title | "LeoThread 2025-06-21 00:59" |
beneficiaries | [] |
max_accepted_payout | 0.000 HBD |
percent_hbd | 10,000 |
post_id | 143,485,712 |
net_rshares | 0 |