Ep. 16: Artificial Intelligence

The Seen and the Unseen
30 Apr 201723:23

Summary

TLDRIn this IBM podcast, the host Amit Varma narrates a dream where his wife has replaced him with an AI version, sparking a discussion on AI's impact on jobs and society. Guests Ramis Nam and Pavan Shat explore AI's potential for job displacement and wealth creation, the historical resilience of jobs to automation, and the possibility of AI enhancing education. They also delve into the complexities of policy-making regarding disruptive technologies and the challenges of economic anxiety amidst technological advancements.

Takeaways

  • ๐Ÿ˜ด The podcast begins with a dream narrative about an AI version of the speaker's wife, hinting at the theme of artificial intelligence and its impact on personal relationships.
  • ๐Ÿง  The dream scenario raises the question of AI's potential to replicate human emotions and interactions, suggesting a future where AI could replace human connection.
  • ๐Ÿ”ฎ The discussion acknowledges the fear in India about AI's impact on jobs, particularly in the service industry, and the potential for job displacement due to automation.
  • ๐ŸŒ The podcast highlights the historical context of technological advancements leading to job creation, using the example of the Green Revolution to illustrate how technology can lead to unexpected positive outcomes.
  • ๐Ÿšœ It emphasizes the importance of considering both the seen and unseen effects of AI, suggesting that while some jobs may be lost, new opportunities and roles could emerge.
  • ๐Ÿค– The conversation explores the idea that AI could improve upon human capabilities by enhancing conversation and eliminating negative traits, presenting a more idealized version of a person.
  • ๐Ÿš€ The podcast touches on the potential for AI to disrupt education, suggesting that personalized AI tutors could provide tailored learning experiences that surpass traditional teaching methods.
  • ๐Ÿ›ฃ๏ธ There is a debate about whether to implement a universal basic income (UBI) as a social safety net in response to job displacement caused by AI and automation.
  • ๐Ÿ›๏ธ The discussion points out the complexity of policy-making in the face of AI-induced job losses, with the need for a balance between supporting displaced workers and encouraging technological advancement.
  • ๐ŸŒ The podcast considers global implications, such as the impact of AI on truck drivers in the US and India, and the potential for AI to create new jobs in e-commerce and other emerging sectors.
  • ๐ŸŒŒ Finally, the conversation contemplates a future where AI and automation could satisfy all human needs, leading to a utopian or dystopian scenario where the need for human jobs is diminished or eliminated.

Q & A

  • What is the main theme of the IBM podcast 'Scene and the Unseen'?

    -The main theme of the podcast is to discuss artificial intelligence and its impact on the world, including both positive and negative effects.

  • What is the unusual event in the host's dream about his wife?

    -In the dream, the host's wife has an electrode plugged into her brain and claims to have uploaded his brain onto a device, creating an AI version of him that can have better conversations without any of his flaws.

  • What is the 'Amit 2.0' mentioned in the dream?

    -The 'Amit 2.0' refers to an AI version of the host, Amit, which has all the good qualities of the original Amit but none of the negative traits like inflated self-importance or lack of empathy.

  • What does the host believe about the future of AI and jobs?

    -The host believes that while AI might destroy some jobs, it will overall create more value and new opportunities, leading to a positive-sum game for the economy and society.

  • What historical example is given to illustrate the impact of automation on jobs?

    -The historical example given is Ned Ludd, who allegedly destroyed weaving machines fearing job loss. However, the invention of those machines increased demand for textiles, leading to more jobs in the industry.

  • What is the 'Green Revolution' mentioned in the podcast, and how is it related to job displacement?

    -The 'Green Revolution' refers to the agricultural revolution initiated by Norman Borlaug, who developed high-yield crops that saved millions from famine. His success was partly due to the displacement from a menial labor job by a Ford tractor, which allowed him to pursue education and contribute significantly to agriculture.

  • What is the role of AI in the service industry as discussed in the podcast?

    -The role of AI in the service industry is seen as a potential disruptor that could replace low-end services with automation, but also as a creator of new job opportunities and efficiencies.

  • What is the concept of Universal Basic Income (UBI) discussed in the podcast?

    -Universal Basic Income (UBI) is a welfare concept where every citizen receives a set amount of money from the government, regardless of their income or employment status. It is discussed as a potential solution to economic anxiety caused by job displacement due to AI and automation.

  • What is the potential impact of AI on education as mentioned in the podcast?

    -The potential impact of AI on education includes personalized learning experiences through AI tutors that adapt to individual student's needs, potentially providing better education than traditional classroom settings.

  • What is the dystopian vision of the future with AI and automation as discussed in the podcast?

    -The dystopian vision is a future where AI and automation can satisfy every human need, potentially leading to mass unemployment and a loss of purpose for people.

  • What is the utopian vision of the future with AI and automation as discussed in the podcast?

    -The utopian vision is a future where the high productivity of AI and automation makes everything so affordable that people do not need jobs, and the value created goes back into the economy, improving the quality of life for everyone.

Outlines

00:00

๐Ÿ˜ด The Dream of AI Love and Replacement

The first paragraph narrates a dream where the podcast host, Amit, encounters his wife who has seemingly replaced him with an AI version, Amit 2.0. This AI is described as having all of Amit's positive traits, such as wit and knowledge, but none of the negative ones like self-importance and lack of empathy. The dream reflects on the potential of AI to replicate and even improve upon human interactions, leading to a humorous yet thought-provoking scenario where the host is made redundant by his own AI counterpart.

05:01

๐Ÿค– AI's Impact on Jobs and the Economy

In the second paragraph, the conversation shifts to a discussion on the impact of artificial intelligence on jobs and the economy. The participants debate the potential for AI to cause job loss, particularly in the service industry in India. They reference historical examples, such as the Luddite movement and the Green Revolution, to illustrate how technological advancements have historically led to more wealth creation and job growth, despite initial fears. The discussion also touches on the importance of education and the potential for AI to revolutionize learning, offering personalized experiences that could benefit a vast number of people.

10:03

๐Ÿšš The Future of Work and Policy Responses

The third paragraph delves into the complexities of job displacement due to AI and automation. The speakers consider the potential for AI to disrupt traditional jobs like truck driving and the challenges this poses for policy makers. They explore the idea of using technology to improve education as a means of retraining the workforce and discuss the possibility of government policies that could either hinder or support the spread of disruptive technologies. The conversation also raises the issue of social unrest and the need for a social safety net to support those affected by job displacement.

15:04

๐Ÿ› ๏ธ The Role of Technology in Job Creation and Destruction

In this paragraph, the discussion continues with a focus on how technology might not completely eliminate jobs but rather change the nature of work. The speakers use the example of a lawyer whose job is partially automated, freeing them to focus on more complex tasks. They also consider the potential for increased demand for goods and services due to reduced costs, which could, in turn, create new jobs. The conversation highlights the importance of understanding that automation often targets specific tasks within a job rather than the job itself, and the need for a nuanced approach to policy and education in response to these changes.

20:05

๐ŸŒ The Societal and Economic Implications of Advanced AI

The final paragraph contemplates the broader implications of a future where AI and automation can satisfy all human needs, potentially leading to a utopian or dystopian scenario. The speakers consider the possibility of a society where the need for traditional jobs is diminished, and people seek new forms of purpose and fulfillment. They also discuss the potential for universal basic income as a policy response to economic disruption, weighing the benefits of targeting assistance to those most in need against the administrative challenges of implementing such a system. The conversation concludes with a reflection on the unpredictable nature of technological progress and its impact on society.

Mindmap

Keywords

๐Ÿ’กArtificial Intelligence (AI)

Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video, AI is central to the theme, as it discusses the potential of AI to change the world in various ways, including job displacement and enhancement of human capabilities. The script mentions AI's role in creating an 'Amit 2.0' version, which signifies an enhanced version of a person with all positive attributes and none of the negative traits.

๐Ÿ’กJob Displacement

Job Displacement occurs when jobs are eliminated or made obsolete due to technological advancements. The script discusses this concept in the context of AI and automation, particularly in India's service industry. It raises concerns about the potential for AI to decimate jobs, but also presents the counterargument that new jobs may be created as a result of technological advancements.

๐Ÿ’กSingularity Institute

The Singularity Institute is an organization focused on ensuring that the creation of smart AI has a positive impact. Ramis Nam, one of the guests in the script, works at the Singularity Institute, indicating the institute's role in shaping the future of AI and its effects on society.

๐Ÿ’กBehavioral Science

Behavioral Science is an interdisciplinary field that studies human behavior and decision-making. The podcast 'Scene and the Unseen' is described as focusing on economics, politics, and behavioral science, suggesting that the discussion of AI's impact on jobs and society is grounded in an understanding of human behavior and its interaction with technology.

๐Ÿ’กFuturist

A Futurist is someone who studies and predicts the future, particularly in terms of technological, social, and cultural trends. Ramis Nam is described as a renowned futurist, indicating his expertise in forecasting the potential developments and implications of AI in the future.

๐Ÿ’กUniversal Basic Income (UBI)

Universal Basic Income is a proposed economic policy where every citizen receives a set amount of money from the government, regardless of income or employment status. The script discusses UBI as a potential solution to address job displacement caused by AI and automation, suggesting it as a means to provide financial security in a changing job market.

๐Ÿ’กEconomic Anxiety

Economic Anxiety refers to the stress and concern individuals feel about their economic stability and future in a rapidly changing economy. The script mentions this concept in the context of job losses due to AI, highlighting the emotional and psychological impact of technological advancements on workers.

๐Ÿ’กGreen Revolution

The Green Revolution refers to the period of agricultural modernization in the 20th century, marked by the introduction of high-yielding varieties of crops and increased use of fertilizers and pesticides. Norman Borlaug, mentioned in the script, is credited with saving a billion lives through his contributions to the Green Revolution, illustrating the potential positive impact of technological advancements on society.

๐Ÿ’กAutomation

Automation is the use of technology to perform tasks with minimal human intervention. The script discusses the potential of automation to replace certain jobs, such as truck driving, and the need for society to adapt to these changes by retraining workers for new roles.

๐Ÿ’กOnline Education

Online Education refers to educational courses, degrees, or training that are delivered through the internet. The script suggests that AI and online education could play a significant role in retraining workers who have lost their jobs due to automation, providing them with new skills and opportunities.

๐Ÿ’กEconomic Surplus

Economic Surplus is the difference between the cost of production and the selling price of goods or services. The script implies that advancements in AI and automation could lead to increased productivity and reduced costs, potentially creating an economic surplus that could benefit society as a whole.

Highlights

A dream sequence introduces the concept of AI replacing human interaction with an enhanced version of oneself.

The podcast discusses the potential of AI to create value and deflation in service costs while acknowledging job loss concerns.

Historical examples are given to illustrate how technological advancements can lead to job creation despite initial fears of job loss.

The Green Revolution is cited as an example of how job displacement can lead to significant positive outcomes, such as increased food production.

The conversation explores the complex relationship between AI, job creation, and the potential for education disruption through personalized AI tutors.

The potential of AI to semi-automate tasks within jobs, rather than completely replacing them, is discussed as a more nuanced view of job displacement.

The idea of a social safety net and the role of education in retraining the workforce for new job opportunities is highlighted.

Universal basic income is debated as a potential solution to economic anxiety, with arguments for and against its implementation.

The potential for AI to increase efficiency in various sectors, such as food delivery, is considered, along with the impact on job roles.

The importance of targeting welfare and subsidies effectively using technology like Adar is discussed in the Indian context.

The podcast contemplates a future where AI and automation could satisfy all human needs, questioning the implications for jobs and human purpose.

The potential dystopian and utopian outcomes of AI advancements are debated, focusing on the balance between human needs and technological capabilities.

The conversation concludes with a reflection on the unpredictable nature of technological impact and the importance of adaptability.

A call to action for listeners to explore books and resources mentioned in the podcast for further insights into AI and its effects.

A teaser for the next episode of the podcast, hinting at a discussion on centrally sponsored schemes with PR Kotan.

A promotion for a related podcast, 'Keeping it Q,' which profiles LGBT individuals, adding diversity to the discussion on technology and society.

Transcripts

play00:02

welcome to the IBM podcast

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[Music]

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Network I had a strange dream the other

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night I saw my wife in a dream now this

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is unusual by itself who dreams about

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their spouse anyway in my dream I was in

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an Amorous mood and I went into my

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bedroom hoping to interest my lovely

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wife in some playful interaction she was

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curled up on the bed laughing to herself

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in a way I only see when she is laughing

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at my jokes she had an electrode plugged

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into her brain I opened my mouth to say

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something and she held up her hand and

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shushed me I don't need to talk to you

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anymore she said there is no longer any

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need for any actual physical interaction

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between us what are you talking about I

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said how can you say such a thing don't

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you love me anymore oh I love you very

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much she said but now I have an enhanced

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version of you I uploaded your brain on

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this device a week ago when you were

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sleeping and now there is an AI version

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of you here which makes even better

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conversation than you do it has all the

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good things about you your wit your

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knowledge but none of the bad stuff like

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your inflated sense of self-importance

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your lack of empathy your short

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attention span you are Amit 1.0 this is

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Amit

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2.0 oh damn I had always feared this day

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would come but that's just conversation

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I said what about the physical stuff

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what about cuddling ha she laughed

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that's also sorted see Amit people are a

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technology to make you feel a certain

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way when you hug me oxytocin floods

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through me well now I can replicate the

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firing of neurons that leads to that

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without actually having to hug an actual

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human in fact over the last few weeks I

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have saved all my experiences with you

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into the hard drive right here now I can

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replay them anytime I want and even

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tweak some details I don't need you at

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all

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I was very sad when I heard this I

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started pouting but as my natural

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resting face is a pout I must have

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looked the same okay fine I said I

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understand I apologize for intruding

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I'll just go and record next week's

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podcast now you don't need to she said

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it's done I'm listening to it now you

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talk about me in your intro how

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sweet welcome to the seen and the Unseen

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our weekly podcast on economics politics

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and Behavioral Science please welcome

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your host Amit

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BMA welcome to the scene and the Unseen

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in today's episode I'm going to be

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talking about artificial intelligence

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which is changing the world around us

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mostly in good ways unlike some

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alarmists I have nothing but positive

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feelings about AI I have two guests on

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the show today who share my optimism but

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are also aware of both positive and

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negative unseen effects of artificial

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intelligence

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Ramis Nam is a renowned futurist and

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award-winning science fiction novelist

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he works at the singularity Institute

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and I urge you to Google him and read

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some of his essays on AI also on the

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show today is Pavan shat my colleague at

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the magazine pragati who has studied

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some of the public policy implications

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of AI such as universal basic income

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Ramis and pan welcome to the scene and

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the Unseen thanks thanks rames you

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you've written a lot about artificial

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intelligence uh uh and I've been reading

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a lot of your stuff and it's amazing so

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tell me something there's especially in

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India there's a fear that people have

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about artificial intelligence that it's

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going to decimate jobs especially in the

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service industry for example and like at

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one level the scen effect of artificial

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intelligences creates enormous value and

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it might seem the Unseen effect as a job

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loss but to a lot of us here in India

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this the job loss is also sort of the

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scene effect what are we missing what's

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the bigger picture here yeah well I

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think the dialogue is pretty far ahead

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in India if you're already talking about

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job loss from Automation and I do think

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we should just acknowledge for a moment

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that the the big obvious effect of AI

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and digital technology in general is

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lots of wealth creation and lots of

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deflation of the cost of services that

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were once impossible we all have more

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access to information than any US

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president before Bill Clinton let's say

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basically for free so that's amazing

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amazing right now will AI uh destroy

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jobs who knows I would say it will

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destroy some jobs for sure will it

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overall have a macro effect of

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destroying jobs I am cautious about

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predicting that because it's been

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predicted so many times that AI would

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destroy jobs or that automation would

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destroy jobs in a macro sense and it

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hasn't ever been right at least not for

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the long term I'll give you an example

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of that I will answer your question

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eventually I'll give you example of that

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is Ned lud the Lites are named after him

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Ned may or may not have actually existed

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we don't really know if he was a real

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person or not fake news yeah he net L

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might be fake news but he apocryphally

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destroyed artificial weaving machines

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because he thought that they would take

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jobs from Weavers and textile workers

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but the invention of those machines

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actually increased demand for textiles

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so much that more people were employed

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in the industry 10 years later than had

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been before they were around because

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they brought down the price of textiles

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that made clothing much more affordable

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and that spurred demand it was a a

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positive some sort of thing okay so we

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have some humility about predicting the

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future but let's imagine that it does

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destroy some jobs uh the example you and

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I were talking about last night is

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Norman Boro Norman Boro started the

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Green Revolution in the 1940s he bred

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better wheat than better rice that

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doubled crop yields around the world uh

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helped save India from massive famine

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saved Mexico from massive famine they

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say he had a billion people saved A

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Billion Lives maybe more than anyone in

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history borw grew up uh in sort of a

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poor town in Iowa in the US he had no

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electricity no running water uh and the

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reason he is who he is today is that he

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would have grown up to just be a farmer

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following in his parents footsteps but

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his family was able to get a Ford

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mechanical tractor and that Ford tractor

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destroyed boro's job of being a menial

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laborer on the farm but that let him go

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to high school not even University High

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School and that led to him having the

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skills to combine new ideas to produce

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these better crops that feed us all that

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changed the world that changed the world

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and made him a hero in India so you know

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I'm always an evangelist for technology

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to me the Unseen effect of more

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technology is always positive you know

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you might see some immediate job loss in

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the short term if at all but so much

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extra value is created that it goes back

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into the economy and the world is better

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off than it was before it's a positive

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sum game what I don't have answers to

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and what people often ask me is in the

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specific Indian context where we are

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where as a nation we're growing younger

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and younger we have a million people

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coming into the workforce every month

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and there simply Aren't Enough jobs

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getting generated for them and what I

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see happening is that a a lot of our

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service industry is lowend kind of

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Services which can easily be replaced by

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Ai and it's already started happening

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and plus while we never had a

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manufacturing industry because of our

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labor laws and whatever that is a

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non-starter now simply because

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automation won't allow it to happen so

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now I understand that in the long-term

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great things will happen and I also buy

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your point about having humility about

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predicting the future because a future

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is of course full of unknown unknowns as

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it were in this case so no one can

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possibly no one could have predicted at

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the time bok's parents brought a tractor

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that it would lead to the Green

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Revolution that was an unknown unknown

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um but before the longterm comes we got

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to deal with the shortterm sort of

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social unrest that is likely the demand

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on policy makers to somehow amarate this

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is uh uh likely I and when people ask me

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all this I really don't have any answers

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anymore yeah it is complex and there are

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parts of it that are really scary we

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know whether or not the macro job

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destruction happens we know that micro

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job destruction will happen um in the US

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we talk a lot about truck driving in

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most US states uh truck driver is the

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most common profession uh but those

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might be automated away in the next 10

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years even if it goes very slowly might

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be 20 years so what do they go do there

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about 3 million people in the US about

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1% of the US population drives a vehicle

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for a living and I see a lot of people

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in India that do that as well uh so

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maybe and I'm optimistic about this the

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total number of new jobs created by

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technology will be much larger than the

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number that are destroyed but still what

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do you do do with those people I hope

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for a couple things I hope one that

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technology that's disrupting driving or

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this disrupted music or newspapers might

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also disrupt education so MIT one of the

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world's top universities has said they

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will make all of their curriculum

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available for free uh we have ai in

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video games that knows how skilled you

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are and plays just hard enough for it to

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be an engaging experience for you and in

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fact makes it addictive could we have ai

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tutors in your phone in your tablet that

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have access to all of this curriculum

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that know what questions you're getting

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right and wrong and tailor the education

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for you in a way that no human teacher

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with 30 or 40 kids could do that sounds

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like science fiction right but it was

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science fiction for a robot to be

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driving a car just 10 years ago so if we

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do that is there a chance we can take

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children throughout the world that maybe

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don't have good schooling and give them

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amazing schooling bar better than now

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for pennies billions of them and even

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take adults who are taxi drivers they

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might not have the same ability to learn

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new skills but I'll bet we can retrain

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them into some new jobs if we deploy

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this sort of technology for them so let

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me play devil's advocate for a moment um

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a government policy maker say 10 years

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down the line in India might well say

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that look I buy a technology as a whole

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is a great thing but I can approach

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different aspects of it differently for

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example if truckers across the country

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are losing jobs I can ban self-driving

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cars or you know tax them or whatever

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and I can let the education happen it's

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it's it's not as if I have to have the

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same approach to a disruptive technology

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and to technology which clearly does the

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kind and I absolutely share your

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optimism on the online education bit uh

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so you know at a policy level if it's

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approached like that and even in the

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popular imagination I mean popularism

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dominates the world today I don't see it

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very far like for the same reason like

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for

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example some of of Trump's Victory is

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definitely due to job loss which he

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attributes to a jobs being shipped

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overseas and B immigrants coming and

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taking the jobs and a significant chunk

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of them are because of automation how

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long before the anger goes in that

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direction I do think unrest is a real

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issue I do think uh people see their way

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of life changing and they have economic

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anxiety there sort of a hollowing out of

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uh the the blue collar Workforce in the

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US the manual laborers that used to work

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in manufacturing and so on service jobs

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are vulnerable but they have not been

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hurt as much so far I think India does

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have some vulnerability there um so you

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have to figure out how to deal with that

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and I think part two is you have to have

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a social safety net you have to have

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some way to say okay if your job has

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been destroyed we are going to take care

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of you for a while with incentives for

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you to learn something new that is

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valuable to society that that should be

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the number one thing that we ask someone

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to do if we are taking care of them when

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they're not employed is we should ask

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them to learn fundamentally P ra

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mentioned the social safety net and

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you've been reading and thinking and

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writing about Universal basic income for

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example among other things what are your

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thoughts I think Universal basic income

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is seems to be the latest um uh latest

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idea in welfare that has picked up speed

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uh the idea has been around for a while

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various flavors of it have existed

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there's the idea of a negative income

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tax for example and I think it's good

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that this discussion is happening in the

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United States uh because I think they

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are prosperous enough to have that

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conversation in India even if you take

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the pie you redistribute it you get rid

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of administrative uh cost you get 3,000

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4,000 rupees per person per year if

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pushed maybe 20,000 rupes per person per

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year and when you're providing that as

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cash and you don't have have public

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goods that are available then your

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efficiency in using that cash is very

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limited I mean you don't have a road to

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travel on you have the money to buy a

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scooter now but that's not going to help

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right so I think our conversations have

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to be a little different and I want to

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ask a question on this um I think one of

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the ways to amarate economic anxiety on

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this is when people can think of easy um

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first entry jobs uh that can be created

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in this new space uh if I'm looking at

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what's happening in India over the last

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5 10 years with uh e-commerce becoming a

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big thing with um new startup sort of

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achieving scale uh is that you have a

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lot of these um jobs that people can

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quickly get into you know you're a

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driver you're a delivery guy you are uh

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in many other places and these are being

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created rapidly so one of the reasons

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why startups have worked in India so far

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is while they have hit at disrupted old

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old businesses they've disrupted the

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black and yellow taxi cabs in Mumbai but

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they've also created these jobs so

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there's a new constituency of people who

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are batting for them so in AI uh RAM do

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you see any opportunities for such jobs

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I think we do and I would say that

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here's a slightly more sophisticated way

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to think about Job destruction most of

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the time automation does not destroy a

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whole job what it does is that a job is

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a basket of tasks let's say your job has

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10 tasks let's say you are a delivery

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man some of your tasks is you walk into

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to the restaurant and you get the food

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you walk back out you know the address a

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bunch of your job is you drive there and

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then another part of your job is you get

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out you walk up to the house you knock

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you give the person their food collect

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the money well technology might automate

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away the driving part but that last not

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even the last mile but the last 100

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meters is actually quite difficult to

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automate away and drones we can have

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fantasies about the taco drone all we

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want but it just doesn't make a lot of

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economic sense for some time so and we

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see that in a variety of other things in

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in White Collar work in service work we

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see the same thing so I'll give you an

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example of something not in the tech

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industry uh being a lawyer in the US one

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of the uh large things that you do in a

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big complicated case is Discovery what

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is Discovery it's reading through

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thousands or hundreds of thousands or

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millions of documents to find something

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interesting so now we have ai

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that can automate can semi-automate can

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make that part of the job the most

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boring least fun least intellect

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demanding part of the job much more

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streamlined and it can free up the

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attorney to do the most important parts

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the negotiation the arguing in court and

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so on so I actually I'm not sure that in

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many of these cases that we'll see

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people just go away if the the truckers

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that I talked about if that trucking job

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is automated you still have uh someone

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that needs to refuel that vehicle you

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still have the people that need to load

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and unload it some of that will be

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automated not all of it you are reducing

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the cost of shipping Goods that will

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probably in turn increase the demand for

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shipping goods and the way the textile

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demand went up when the price went down

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that internal will create ancillary jobs

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so that's what I see and I can't tell

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you exactly what that looks like but I

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think if for instance if if India had uh

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fully autonomous vehicles every single

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one a the traffic would move five times

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faster right and that what economic

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surplus does that have for everyone in

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India uh and B will that actually create

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more demand for uh delivery services

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that employ a human in some way maybe

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the human has to do four other tasks

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during the drive but he's still going to

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do something right absolutely I mean I

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completely get this exact analogy just

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with Uber and Ola in India uh if you had

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to be a taxi driver in an Indian city

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say 15 years ago you needed need to know

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the city first right you needed a

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geographic map of the city you needed a

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mental map of this now because Google

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Maps has automated that any firsttime

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driver so long as they know driving and

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they know the rules of the road

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reasonably well they can just get on the

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actually made it easier for people to

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become drivers and you know therefore

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Increase jobs in that space so so like

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you said if certain tasks that require

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extensive experience or

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training become uh obvious with the use

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of Technology uh maybe some jobs might

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increase in certain sectors yeah maybe

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the future of meal delivery is going to

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be that it's a mobile kitchen and the

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person is the work they're doing is

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they're cooking inside while it's

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driving automatically from each place to

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each place I don't know I'd like to come

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back to the the universal basic income

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though because when I do the math I just

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do the math math in the back of the

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envelope what I come to the conclusion

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of is we should talk about basic income

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and not Universal basic income because

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if you target it at the bottom 20% of

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society let's say you get five times as

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many Rupees that you can spend on those

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people so I think we should think of it

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as a safety net something that phases

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out gradually and slowly with income

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rather than being Universal there's

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various Arguments for Universal that

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gets more politically popular if

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everyone gets some but it's just not as

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efficient I don't need that income

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myself I would rather that a poor person

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gets more more than I do right I think

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the argument in favor of a universal in

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Universal anything is that the cost of

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targeting might uh and the challenges of

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mistargeting Might outweigh the cost of

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universalization and I think with

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technology that might be proving wrong

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we'll need to see how Adar and other

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things in India can be deployed

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meaningfully uh to make targeting

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successful what Adar will do is it will

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provide Universal surveillance

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so while we're looking at that angle I

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think the original purpose of the Adar

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was how do we manage horribly bloated

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subsidies in Fair how do we get the

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targeting right how do we make sure the

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right guy is I fully agree with you

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right so so let me let me let me end by

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uh asking a question of what could

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either be a utopian or a dystopian

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future now typically we imagine that um

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you know whenever new technology comes

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it might cause short-term micro job

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losses but it creates value and that

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value goes back into the economy and

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that creates more jobs now what happens

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in a future scenario where artificial

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intelligence and automation together can

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essentially satisfy every human need

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yeah right and in which case whatever

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value is created goes back into Ai and

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automation because any need that any

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human can have is possibly satisfied now

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the dystopian vision is that my god

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there are no jobs and what are people

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going to do and we need to protect the

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people and the I opian vision is that

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everything will be so cheap because

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productivity is so high that people

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don't need jobs where's the balance I

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mean so I think uh people do like having

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a purpose in life so we have to worry

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about that and also expect that people

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will look for purpose in life but I also

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become very very cautious about

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predictions like this John Maynard ke

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arguably the greatest Economist of the

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20th century predicted that in the USA

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by today by actually like 2000 I think

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people would work an eight hour work

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week cuz he said per capita income grows

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at you know 2% perom and so by 2,000

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everyone should be able to work 8 hours

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and have a good quality of life by which

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he meant a 1920s level quality of life

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and in the US maybe they could get with

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8 work maybe you could work 8 hours and

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have a 1920s quality of life but no one

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wants to almost a few people do human

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needs expand I'll tell you just from my

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country cuz I know the stats the uh

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living space per capita in the US number

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of square meters per capita has gone up

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by a factor of three since

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1970 right why uh because people given

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the option like space the number of

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miles flown per capita has gone up by a

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factor of like 20 since 1970 people like

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to travel so human needs are not so

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easily satisfied uh some people would

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view that as a horrible thing I view it

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as a sort of a positive and maybe we all

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need to go to Mars maybe Elon Musk might

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think so for now guys just thank you for

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coming on the scene in the Unseen it was

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a pleasure talking to you thank you

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thank

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you thank you for listening so far into

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the show in a future age this podcast

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will be uploaded directly to your brain

play21:41

for now though we live in the cumbersome

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physical world where I urge you to head

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over to your nearby online or offline

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bookstore and pick up any of the books

play21:50

written by rames his award-winning Nexus

play21:53

Trilogy in particular is a blast to read

play21:56

and very very thought-provoking Pavan

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and I both write for pragati at think

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pragati.com and you can also check out

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my blog India uncut at India uncut.com

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do come back for more next week long

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after humans have become posthuman the

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seen and the Unseen will keep coming at

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you week after week after

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[Music]

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week next week on the scene and the

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Unseen Amit Varma will be talking to PR

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kotan about centrally sponsored schemes

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for more go to scen unseen. if you

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enjoyed listening to the scene in the

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Unseen check out this exciting new

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podcast from indust Works media called

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keeping it qu keeping it qu is hosted by

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my friend naen narona and he profiles

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LGBT people from all across the country

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and some of the stories are really

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poignant check it out on Audi boom or

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iTunes excuse me excuse me Madam

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menen on cus say Mar India rediscovery

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simplified keeping it things and

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Related Tags
Artificial IntelligenceJob AutomationEconomic ImpactSocial UnrestTechnological AdvancementFuture PredictionsEducation DisruptionPolicy MakingBasic IncomeHuman Needs