• bitcoinBitcoin (BTC) $ 42,977.00 0.18%
  • ethereumEthereum (ETH) $ 2,365.53 1.12%
  • tetherTether (USDT) $ 1.00 0.2%
  • bnbBNB (BNB) $ 302.66 0.19%
  • solanaSolana (SOL) $ 95.44 1.28%
  • xrpXRP (XRP) $ 0.501444 0.1%
  • usd-coinUSDC (USDC) $ 0.996294 0.34%
  • staked-etherLido Staked Ether (STETH) $ 2,367.26 1.4%
  • cardanoCardano (ADA) $ 0.481226 2.68%
  • avalanche-2Avalanche (AVAX) $ 34.37 1.19%
  • bitcoinBitcoin (BTC) $ 42,977.00 0.18%
    ethereumEthereum (ETH) $ 2,365.53 1.12%
    tetherTether (USDT) $ 1.00 0.2%
    bnbBNB (BNB) $ 302.66 0.19%
    solanaSolana (SOL) $ 95.44 1.28%
    xrpXRP (XRP) $ 0.501444 0.1%
    usd-coinUSDC (USDC) $ 0.996294 0.34%
    staked-etherLido Staked Ether (STETH) $ 2,367.26 1.4%
    cardanoCardano (ADA) $ 0.481226 2.68%
    avalanche-2Avalanche (AVAX) $ 34.37 1.19%
  • bitcoinBitcoin (BTC) $ 42,977.00 0.18%
  • ethereumEthereum (ETH) $ 2,365.53 1.12%
  • tetherTether (USDT) $ 1.00 0.2%
  • bnbBNB (BNB) $ 302.66 0.19%
  • solanaSolana (SOL) $ 95.44 1.28%
  • xrpXRP (XRP) $ 0.501444 0.1%
  • usd-coinUSDC (USDC) $ 0.996294 0.34%
  • staked-etherLido Staked Ether (STETH) $ 2,367.26 1.4%
  • cardanoCardano (ADA) $ 0.481226 2.68%
  • avalanche-2Avalanche (AVAX) $ 34.37 1.19%
  • bitcoinBitcoin (BTC) $ 42,977.00 0.18%
    ethereumEthereum (ETH) $ 2,365.53 1.12%
    tetherTether (USDT) $ 1.00 0.2%
    bnbBNB (BNB) $ 302.66 0.19%
    solanaSolana (SOL) $ 95.44 1.28%
    xrpXRP (XRP) $ 0.501444 0.1%
    usd-coinUSDC (USDC) $ 0.996294 0.34%
    staked-etherLido Staked Ether (STETH) $ 2,367.26 1.4%
    cardanoCardano (ADA) $ 0.481226 2.68%
    avalanche-2Avalanche (AVAX) $ 34.37 1.19%
  • bitcoinBitcoin (BTC) $ 42,977.00 0.18%
  • ethereumEthereum (ETH) $ 2,365.53 1.12%
  • tetherTether (USDT) $ 1.00 0.2%
  • bnbBNB (BNB) $ 302.66 0.19%
  • solanaSolana (SOL) $ 95.44 1.28%
  • xrpXRP (XRP) $ 0.501444 0.1%
  • usd-coinUSDC (USDC) $ 0.996294 0.34%
  • staked-etherLido Staked Ether (STETH) $ 2,367.26 1.4%
  • cardanoCardano (ADA) $ 0.481226 2.68%
  • avalanche-2Avalanche (AVAX) $ 34.37 1.19%
  • bitcoinBitcoin (BTC) $ 42,977.00 0.18%
    ethereumEthereum (ETH) $ 2,365.53 1.12%
    tetherTether (USDT) $ 1.00 0.2%
    bnbBNB (BNB) $ 302.66 0.19%
    solanaSolana (SOL) $ 95.44 1.28%
    xrpXRP (XRP) $ 0.501444 0.1%
    usd-coinUSDC (USDC) $ 0.996294 0.34%
    staked-etherLido Staked Ether (STETH) $ 2,367.26 1.4%
    cardanoCardano (ADA) $ 0.481226 2.68%
    avalanche-2Avalanche (AVAX) $ 34.37 1.19%
image-alt-1BTC Dominance: 58.93%
image-alt-2 ETH Dominance: 12.89%
image-alt-3 BTC/ETH Ratio: 26.62%
image-alt-4 Total Market Cap 24h: $2.51T
image-alt-5Volume 24h: $144.96B
image-alt-6 ETH Gas Price: 16 Gwei

MORE FROM SPONSORED

LIVE Web3 News

ARTICLE INFORMATION

AI impact on employment

AI impact on employment sparks global concern as automation gains momentum

Khaled Darwish Khaled Darwish

AI impact on employment is becoming one of the most pressing global issues as automation advances rapidly.

A new report from the United Nations Conference on Trade and Development (UNCTAD) highlights a potential disruption to the job market on a massive scale. According to the findings, over 40 percent of jobs globally are at risk due to the rise of generative AI technologies.

The report emphasizes that advanced economies may experience more immediate disruptions. Jobs that rely heavily on cognitive tasks and digital tools are especially vulnerable. While automation can enhance productivity, it also threatens millions of workers across different sectors. Industries like finance, education, and customer service are likely to face the largest shifts.

AI impact on employment is not entirely negative. UNCTAD suggests that AIClick here for more Details can also create new opportunities, especially in emerging sectors. Roles related to AI management, maintenance, and oversight will likely see increased demand. However, the transition period could be rocky. Countries with less digital infrastructure might struggle to adapt quickly.

Advanced economies face greater short-term job displacement risks

One of the striking insights from the report is the uneven distribution of impact. In wealthier nations, workers are more exposed to AI tools that can replicate human tasks. These regions, however, may be better equipped to implement protective labor policies and reskilling programs.

On the other hand, developing countries may initially face fewer job losses. However, in the long term, they risk falling further behind in economic competitiveness. The report calls for proactive strategies to support workers and bridge the digital divide.

Investments in education and digital access are essential. Countries that equip their workforce with digital skills will fare better. Governments are urged to create safety nets and training pathways to soften the blow of workforce automation.

AI impact on employment depends on policy readiness and digital access

The global AI market is projected to grow from $200 billion in 2023 to $4.8 trillion by 2033. This surge reflects how integral AI will be to future industries. But without adequate preparation, the social cost could be steep.

UNCTAD warns that regulatory frameworks must keep pace. If unchecked, AI could exacerbate income inequalities and deepen geopolitical divides. It is no longer just a tech issue but a societal one that needs global cooperation.

Balancing innovation with inclusivity will define the future of work. AI impact on employment is a challenge we must tackle through thoughtful planning and inclusive policies.

ANOTHER MUST-READ ON ICN.LIVE

What does the AI impact on employment really mean for workers?

AI impact on employment means many jobs could become automated or obsolete due to advancing AI technology. While repetitive and routine tasks are the most vulnerable, even knowledge-based roles might face disruption. At the same time, new roles in tech, AI oversight, and human-machine collaboration are expected to emerge. The key for workers is adaptability—those who upskill and pivot into emerging fields will be better positioned for the future.

Is AI going to cause mass unemployment globally?

AI may cause short-term job displacement, especially in developed economies, but mass unemployment is not guaranteed. Historical tech shifts show that while some roles disappear, others emerge. The real issue is the transition period. Without proper support systems, millions could face economic hardship. Governments and companies need to invest in workforce retraining and education to help mitigate the negative effects.

How can developing countries respond to the AI employment threat?

Developing countries can minimize the risks by focusing on digital inclusion and education. While immediate automation threats may be lower due to less exposure, long-term competitiveness is at stake. These countries should invest in internet access, digital literacy, and vocational training. International cooperation and funding can also support fair AI implementation, helping bridge the global digital divide.

Which jobs are most at risk from AI?

Jobs involving routine cognitive tasks—like data entry, customer service, and basic finance—are highly at risk. AI can now replicate many of these functions efficiently. Creative and physical labor roles are slightly more protected, although AI is expanding into content generation and robotics. The safest jobs will likely be those requiring human judgment, emotional intelligence, and complex decision-making.

FEATURED

EVENTS

Days
Hr
Min
Sec
 

ICN TALKS EPISODES