Top AI CEO Warns Lawmakers To Prepare For Tech To Gut These Entry-Level Office Jobs
Dario Amodei, CEO of leading artificial intelligence startup Anthropic, warns that AI may eliminate half of all entry-level white-collar jobs and spike unemployment within the next five years if lawmakers and companies don't do anything about it now.
'Most of them are unaware that this is about to happen,' Amodei told Axios. 'It sounds crazy, and people just don't believe it.'
Amodei told Axios politicians and companies can still prepare and protect Americans from job cuts in a range of entry level white-collar fields including technology, finance, law, consulting and more.
'We, as the producers of this technology, have a duty and an obligation to be honest about what is coming,' Amodei told the outlet. 'I don't think this is on people's radar.'
Amodei's warning came a week after Anthropic launched its newest Amazon-backedAI model Claude Opus 4, which is used for complex, long-running coding tasks. It's currently released under specific safety measures after testing raised concerns over the tool's capabilities.
For instance, Anthropic revealed in a safety report that Claude Opus 4 had sometimes taken 'extremely harmful actions' in test scenarios such as blackmailing engineers who posed a threat in taking it down.
Anthropic co-founder and chief scientist Jared Kaplan also told Time magazine that their tests revealed the AI model could potentially teach people how to produce biological weapons.
'You could try to synthesize something like COVID or a more dangerous version of the flu — and basically, our modeling suggests that this might be possible,' Kaplan said.
Amodei's warning focuses on the economic impact of AI models like his, but says there's still time to mitigate his worst-case scenario from happening.
The CEO suggests raising awareness, creating a joint committee on AI or formally briefing all lawmakers on the technology, encouraging workers to use AI to augment their tasks, and begin debating policy solutions for an economy dominated by AI.
One policy the CEO recommends is a 'token tax,' which taxes whatever money the AI company makes every time someone uses its model.
'Obviously, that's not in my economic interest,' Amodei said. 'But I think that would be a reasonable solution to the problem.'
Amodei is not the first executive to warn of AI's potential consequences.
Nvidia's Jensen Huang told an audience at the Milken Institute's Global Conference earlier this month that 'you're not going to lose your job to an AI, but you're going to lose your job to someone who uses AI,' CNBC reports.
LinkedIn's Aneesh Raman warned young workers in an op-ed published in The New York Times that AI also poses a real threat to their entry-level jobs, saying 'virtually all jobs will experience some impacts, but office jobs are expected to feel the biggest crunch.'
'You can't just step in front of the train and stop it,' Amodei told Axios. 'The only move that's going to work is steering the train — steer it 10 degrees in a different direction from where it was going. That can be done. That's possible, but we have to do it now.'
Amazon-Backed AI Model Would Try To Blackmail Engineers Who Threatened To Take It Offline
Social Media Brutally Mocks Elon Musk's Goodbye Note To DOGE
Elon Musk Is Leaving The Trump Administration After Criticizing 'Big Beautiful Bill'
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
16 minutes ago
- Yahoo
A Look At The Intrinsic Value Of Thai Beverage Public Company Limited (SGX:Y92)
The projected fair value for Thai Beverage is S$0.52 based on 2 Stage Free Cash Flow to Equity With S$0.47 share price, Thai Beverage appears to be trading close to its estimated fair value The ฿0.63 analyst price target for Y92 is 21% more than our estimate of fair value Does the June share price for Thai Beverage Public Company Limited (SGX:Y92) reflect what it's really worth? Today, we will estimate the stock's intrinsic value by estimating the company's future cash flows and discounting them to their present value. This will be done using the Discounted Cash Flow (DCF) model. Before you think you won't be able to understand it, just read on! It's actually much less complex than you'd imagine. We would caution that there are many ways of valuing a company and, like the DCF, each technique has advantages and disadvantages in certain scenarios. Anyone interested in learning a bit more about intrinsic value should have a read of the Simply Wall St analysis model. AI is about to change healthcare. These 20 stocks are working on everything from early diagnostics to drug discovery. The best part - they are all under $10bn in marketcap - there is still time to get in early. We're using the 2-stage growth model, which simply means we take in account two stages of company's growth. In the initial period the company may have a higher growth rate and the second stage is usually assumed to have a stable growth rate. To begin with, we have to get estimates of the next ten years of cash flows. Where possible we use analyst estimates, but when these aren't available we extrapolate the previous free cash flow (FCF) from the last estimate or reported value. We assume companies with shrinking free cash flow will slow their rate of shrinkage, and that companies with growing free cash flow will see their growth rate slow, over this period. We do this to reflect that growth tends to slow more in the early years than it does in later years. Generally we assume that a dollar today is more valuable than a dollar in the future, and so the sum of these future cash flows is then discounted to today's value: 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 Levered FCF (THB, Millions) ฿44.2b ฿39.1b ฿40.9b ฿22.4b ฿19.8b ฿18.4b ฿17.6b ฿17.1b ฿17.0b ฿17.0b Growth Rate Estimate Source Analyst x4 Analyst x4 Analyst x4 Analyst x1 Est @ -11.47% Est @ -7.32% Est @ -4.42% Est @ -2.38% Est @ -0.96% Est @ 0.04% Present Value (THB, Millions) Discounted @ 7.9% ฿41.0k ฿33.6k ฿32.5k ฿16.5k ฿13.6k ฿11.7k ฿10.3k ฿9.3k ฿8.6k ฿8.0k ("Est" = FCF growth rate estimated by Simply Wall St)Present Value of 10-year Cash Flow (PVCF) = ฿185b After calculating the present value of future cash flows in the initial 10-year period, we need to calculate the Terminal Value, which accounts for all future cash flows beyond the first stage. For a number of reasons a very conservative growth rate is used that cannot exceed that of a country's GDP growth. In this case we have used the 5-year average of the 10-year government bond yield (2.4%) to estimate future growth. In the same way as with the 10-year 'growth' period, we discount future cash flows to today's value, using a cost of equity of 7.9%. Terminal Value (TV)= FCF2034 × (1 + g) ÷ (r – g) = ฿17b× (1 + 2.4%) ÷ (7.9%– 2.4%) = ฿315b Present Value of Terminal Value (PVTV)= TV / (1 + r)10= ฿315b÷ ( 1 + 7.9%)10= ฿147b The total value, or equity value, is then the sum of the present value of the future cash flows, which in this case is ฿332b. To get the intrinsic value per share, we divide this by the total number of shares outstanding. Compared to the current share price of S$0.5, the company appears about fair value at a 10% discount to where the stock price trades currently. Valuations are imprecise instruments though, rather like a telescope - move a few degrees and end up in a different galaxy. Do keep this in mind. Now the most important inputs to a discounted cash flow are the discount rate, and of course, the actual cash flows. Part of investing is coming up with your own evaluation of a company's future performance, so try the calculation yourself and check your own assumptions. The DCF also does not consider the possible cyclicality of an industry, or a company's future capital requirements, so it does not give a full picture of a company's potential performance. Given that we are looking at Thai Beverage as potential shareholders, the cost of equity is used as the discount rate, rather than the cost of capital (or weighted average cost of capital, WACC) which accounts for debt. In this calculation we've used 7.9%, which is based on a levered beta of 0.856. Beta is a measure of a stock's volatility, compared to the market as a whole. We get our beta from the industry average beta of globally comparable companies, with an imposed limit between 0.8 and 2.0, which is a reasonable range for a stable business. See our latest analysis for Thai Beverage Strength Debt is well covered by earnings. Dividends are covered by earnings and cash flows. Weakness Earnings growth over the past year underperformed the Beverage industry. Dividend is low compared to the top 25% of dividend payers in the Beverage market. Opportunity Annual revenue is forecast to grow faster than the Singaporean market. Current share price is below our estimate of fair value. Threat Debt is not well covered by operating cash flow. Annual earnings are forecast to grow slower than the Singaporean market. Whilst important, the DCF calculation ideally won't be the sole piece of analysis you scrutinize for a company. DCF models are not the be-all and end-all of investment valuation. Instead the best use for a DCF model is to test certain assumptions and theories to see if they would lead to the company being undervalued or overvalued. For example, changes in the company's cost of equity or the risk free rate can significantly impact the valuation. For Thai Beverage, there are three fundamental elements you should consider: Risks: We feel that you should assess the 2 warning signs for Thai Beverage (1 is potentially serious!) we've flagged before making an investment in the company. Future Earnings: How does Y92's growth rate compare to its peers and the wider market? Dig deeper into the analyst consensus number for the upcoming years by interacting with our free analyst growth expectation chart. Other High Quality Alternatives: Do you like a good all-rounder? Explore our interactive list of high quality stocks to get an idea of what else is out there you may be missing! PS. Simply Wall St updates its DCF calculation for every Singaporean stock every day, so if you want to find the intrinsic value of any other stock just search here. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
Yahoo
31 minutes ago
- Yahoo
Latest OAG Report: High-Quality Data and AI Transformation Are Critical to Building Resilience Across Airline Operations
LONDON, June 03, 2025--(BUSINESS WIRE)--OAG, the global leader in aviation data and analytics, is proud to release its latest industry report in collaboration with Microsoft: "Can AI and the Right Data Rewrite the Rules of Airline Performance?". The report explores how trusted data is enabling AI to address critical operational challenges in aviation today. From minimizing delays and turnaround bottlenecks to forecasting maintenance needs and enhancing stakeholder decision-making, AI is already delivering tangible impact—but only when powered by accurate, complete, and well-structured data. Drawing on real-world case studies, robust research, and expert insight, the report illustrates how data readiness and AI transformation are ushering in a new era of operational resilience across the airline industry. A key highlight of the report is a comprehensive visual mapping of nine of the airline industry's most persistent operational challenges, structured along the end-to-end operational journey from pre-flight to post-flight. For each, the report showcases one real-world AI use case already delivering tangible results, offering airline leaders and innovators a clear path from problem to solution. Filip Filipov, OAG's Chief Operating Officer explained "AI is already transforming airline operations but to truly scale its impact, the industry must prioritize data readiness. Scalable transformation is only possible with intelligent, high-quality data at the core of every AI solution." The full report "Can AI and the Right Data Rewrite the Rules of Airline Performance?" is available to read now. About OAG OAG is a leading data platform for the global travel industry offering an industry-first single source for supply, demand, and pricing data. View source version on Contacts Media Enquiries: pressoffice@ Sign in to access your portfolio
Business Wire
33 minutes ago
- Business Wire
Latest OAG Report: High-Quality Data and AI Transformation Are Critical to Building Resilience Across Airline Operations
LONDON--(BUSINESS WIRE)-- OAG, the global leader in aviation data and analytics, is proud to release its latest industry report in collaboration with Microsoft: " Can AI and the Right Data Rewrite the Rules of Airline Performance? '. From minimizing delays and turnaround bottlenecks to forecasting maintenance needs and enhancing stakeholder decision-making, AI is already delivering tangible impact—but only when powered by accurate, complete, and well-structured data. Share The report explores how trusted data is enabling AI to address critical operational challenges in aviation today. From minimizing delays and turnaround bottlenecks to forecasting maintenance needs and enhancing stakeholder decision-making, AI is already delivering tangible impact—but only when powered by accurate, complete, and well-structured data. Drawing on real-world case studies, robust research, and expert insight, the report illustrates how data readiness and AI transformation are ushering in a new era of operational resilience across the airline industry. A key highlight of the report is a comprehensive visual mapping of nine of the airline industry's most persistent operational challenges, structured along the end-to-end operational journey from pre-flight to post-flight. For each, the report showcases one real-world AI use case already delivering tangible results, offering airline leaders and innovators a clear path from problem to solution. Filip Filipov, OAG's Chief Operating Officer explained 'AI is already transforming airline operations but to truly scale its impact, the industry must prioritize data readiness. Scalable transformation is only possible with intelligent, high-quality data at the core of every AI solution.' The full report ' Can AI and the Right Data Rewrite the Rules of Airline Performance? ' is available to read now. About OAG OAG is a leading data platform for the global travel industry offering an industry-first single source for supply, demand, and pricing data.
