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The AI industrial revolution puts middle-class workers under threat this time
February 18, 2023
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Microsoft’s Yusuf Mehdi announces ChatGPT integration for the Bing seach engine earlier this month. Photograph: Jason Redmond/AFP/Getty Images

The machines are coming and they will eat your job. That’s been a familiar refrain down the years, stretching back to the Luddites in the early 19th century. In the past, step-changes in technology have replaced low-paid jobs with a greater number of higher-paid jobs. This time, with the arrival of artificial intelligence, there are those who think it will be different.

Politicians know that even in the best case AI will cause massive disruption to labour markets, but they are fooling themselves if they think they have years to come up with a suitable response. As the tech entrepreneur Mihir Shukla said at the recent World Economic Forum in Davos: “People keep saying AI is coming but it is already here.”

Developments in machine learning and robotics have been moving on rapidly while the world has been preoccupied by the pandemic, inflation and war. AI stands to be to the fourth industrial revolution what the spinning jenny and the steam engine were to the first in the 18th century: a transformative technology that will fundamentally reshape economies.

Change will not happen overnight but, as was the case in previous industrial revolutions, it will be painful for those affected, as millions of workers will be. Previously, machines replaced manual labour, leaving jobs that required cognitive skills to humans. Advances in AI – symbolised by ChatGPT – shows that machines can now have a decent stab at doing the creative stuff as well.

ChatGPT is a machine that can write intelligently. Asked to come up with a version of Abraham Lincoln’s Gettysburg address in the style of Donald Trump, it will search the web for suitable source material and generate original content.

Launched by the San Francisco-based research laboratory OpenAI in November last year, ChatGPT notched up its 100 millionth user in 60 days. By contrast, it took Facebook two years to reach the same milestone.

Other new products will follow. The number of AI patents increased 30-fold between 2015 and 2021, according to a report from Stanford University in California. Robots are becoming cheaper and more sophisticated all the time.

History suggests profound technological change presents significant challenges for policymakers. Each of the three previous industrial revolutions had a similar initial impact: it hollowed out jobs across the economy, it led to an increase in inequality and to a decline in the share of income going to labour.

AI threatens to have precisely the same effects, but with one key difference. Left unchecked, owners of the new machines will make enormous sums of money out of their innovations. Capital will see its share of income rise at the expense of labour. There will be a hollowing out of some sectors of the economy but there will be employment growth in other sectors.

The difference this time is that the jobs most at risk will be white-collar, middle-class jobs, while many of the jobs created might be of the low-paid, dead-end variety. As Shukla noted in Davos, the days of humans processing mortgage applications are already numbered.

There are ways of dealing with some of these issues. Governments could invest more in education and training, so that workers have the skills they need to make a decent living. They might explore ways of spreading the gains from the new technology. Silicon Valley entrepreneuomist Joseph Schumpeter popularised a phrase to describe how capitalism periodically reinvents itself. rs have been among the most vocal supporters of a universal basic income.

But whatever they do, policymakers need to act with care as well as speed. He called it creative destruction, and just such a process is in its early stages now.

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The Great Onboarding: US Government Anchors Global Economy into Web3 via Pyth Network

For years, the crypto world speculated that the next major cycle would be driven by institutional adoption, with Wall Street finally legitimizing Bitcoin through vehicles like ETFs. While that prediction has indeed materialized, a recent development signifies a far more profound integration of Web3 into the global economic fabric, moving beyond mere financial products to the very infrastructure of data itself. The U.S. government has taken a monumental step, cementing Web3's role as a foundational layer for modern data distribution. This door, once opened, is poised to remain so indefinitely.

The U.S. Department of Commerce has officially partnered with leading blockchain oracle providers, Pyth Network and Chainlink, to distribute critical official economic data directly on-chain. This initiative marks a historic shift, bringing immutable, transparent, and auditable data from the federal government itself onto decentralized networks. This is not just a technological upgrade; it's a strategic move to enhance data accuracy, transparency, and accessibility for a global audience.

Specifically, Pyth Network has been selected to publish Gross Domestic Product (GDP) data, starting with quarterly releases going back five years, with plans to expand to a broader range of economic datasets. Chainlink, the other key partner, will provide data feeds from the Bureau of Economic Analysis (BEA), including Real Gross Domestic Product (GDP) and the Personal Consumption Expenditures (PCE) Price Index. This crucial economic information will be made available across a multitude of blockchain networks, including major ecosystems like Ethereum, Avalanche, Base, Bitcoin, Solana, Tron, Stellar, Arbitrum One, Polygon PoS, and Optimism.

This development is closer to science fiction than traditional finance. The same oracle network, Pyth, that secures data for over 350 decentralized applications (dApps) across more than 50 blockchains, processing over $2.5 trillion in total trading volume through its oracles, is now the system of record for the United States' core economic indicators. Pyth's extensive infrastructure, spanning over 107 blockchains and supporting more than 600 applications, positions it as a trusted source for on-chain data. This is not about speculative assets; it's about leveraging proven, robust technology for critical public services.

The significance of this collaboration cannot be overstated. By bringing official statistics on-chain, the U.S. government is embracing cryptographic verifiability and immutable publication, setting a new precedent for how governments interact with decentralized technology. This initiative aligns with broader transparency goals and is supported by Secretary of Commerce Howard Lutnick, positioning the U.S. as a world leader in finance and blockchain innovation. The decision by a federal entity to trust decentralized oracles with sensitive economic data underscores the growing institutional confidence in these networks.

This is the cycle of the great onboarding. The distinction between "Web2" and "Web3" is rapidly becoming obsolete. When government data, institutional flows, and grassroots builders all operate on the same decentralized rails, we are simply talking about the internet—a new iteration, yes, but the internet nonetheless: an immutable internet where data is not only published but also verified and distributed in real-time.

Pyth Network stands as tangible proof that this technology serves a vital purpose. It demonstrates that the industry has moved beyond abstract "crypto tech" to offering solutions that address real-world needs and are now actively sought after and understood by traditional entities. Most importantly, it proves that Web3 is no longer seeking permission; it has received the highest validation a system can receive—the trust of governments and markets alike.

This is not merely a fleeting trend; it's a crowning moment in global adoption. The U.S. government has just validated what many in the Web3 space have been building towards for years: that Web3 is not a sideshow, but a foundational layer for the future. The current cycle will be remembered as the moment the world definitively crossed this threshold, marking the last great opportunity to truly say, "we were early."

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US Dept of Commerce to publish GDP data on blockchain

On Tuesday during a televised White House cabinet meeting, Commerce Secretary Howard Lutnick announced the intention to publish GDP statistics on blockchains. Today Chainlink and Pyth said they were selected as the decentralized oracles to distribute the data.

Lutnick said, “The Department of Commerce is going to start issuing its statistics on the blockchain because you are the crypto President. And we are going to put out GDP on the blockchain, so people can use the blockchain for data distribution. And then we’re going to make that available to the entire government. So, all of you can do it. We’re just ironing out all the details.”

The data includes Real GDP and the PCE Price Index, which reflects changes in the prices of domestic consumer goods and services. The statistics are released monthly and quarterly. The biggest initial use will likely be by on-chain prediction markets. But as more data comes online, such as broader inflation data or interest rates from the Federal Reserve, it could be used to automate various financial instruments. Apart from using the data in smart contracts, sources of tamperproof data 👉will become increasingly important for generative AI.

While it would be possible to procure the data from third parties, it is always ideal to get it from the source to ensure its accuracy. Getting data directly from government sources makes it tamperproof, provided the original data feed has not been manipulated before it reaches the oracle.

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