Daniel Kokotajlo, a former AI forecaster for OpenAI, recently testified before the Senate and put the odds of AI companies automating their own work by the end of 2028 at about 50%.
An AI forecaster puts a date on automation
Daniel Kokotajlo, a former AI forecaster for OpenAI, recently testified before the Senate and put the odds of AI companies automating their own work by the end of 2028 at about 50%. His estimate concerns AI companies automating their own work. It gives a near-term measure of how quickly the technology could change the work inside the companies building it.¹
Adam McKay is the Academy Award-winning director of The Big Short, Vice and Don't Look Up, the founder of Yellow Dot Studios and a board director for Climate Emergency Fund. Philip Eubanks is the executive director of that fund. Climate Emergency Fund has put half its funding toward grassroots groups at the forefront of the fight. Those roles place McKay and Eubanks in film and climate advocacy, alongside the risks raised by AI forecasts and emissions.¹
Adam McKay is the Academy Award-winning director of The Big Short, Vice and Don't Look Up, the founder of Yellow Dot Studios and a board director for Climate Emergency Fund.
AI use in oil exploration carries a carbon cost
A recent study in Nature revealed an alliance between oil majors and the tech industry to use AI for new exploration and extraction. The study says that alliance could add up to 1.8 gigatonnes of carbon dioxide to the atmosphere, an amount equivalent to Russia's annual emissions. The link is direct: AI is being used not only by companies developing the technology, but also to support new oil exploration and extraction.¹
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Read More →Exxon publicly said the world may reach 3C by 2050. At the same time, data centre construction has faced local resistance in the United States: at least 120 projects worth nearly $200bn were blocked or delayed in the first half of 2026. At least 20 projects were canceled outright in the first three months of that year. The figures describe different pressures around AI infrastructure: project delays and cancellations, alongside the climate risk associated with its use in oil expansion.¹²
The UN anniversary recalls a case for collective action
The United Nations marked its 80th anniversary in 2025. Dag Hammarskjöld, a former UN Secretary General, made an observation about the organization in 1954. The anniversary and that earlier observation place the institution's history across eight decades, from its postwar beginnings to its current role. The facts here do not specify the content of Hammarskjöld's observation, so they do not support assigning him a particular view on AI or climate policy.²
On the anniversary, a statement drew a direct line between the creation of the United Nations and the prevention of a third world war. That comparison presents international cooperation as a way to prevent a global catastrophe. The AI and climate facts describe risks operating across borders: technology companies are using AI in oil exploration, while estimates put a potential carbon addition on a scale comparable to a country's annual emissions.¹²
India combines lower per-person emissions with rapid digital adoption
India's CO₂ emissions from fuel combustion per person are approximately one third of the global average. The country also has more than 900 million internet users. UPI transactions have crossed 10 billion a month, after growing more than 10x in the last five years. These figures show two different parts of India's position: lower per-person emissions from fuel combustion and a large, rapidly expanding base of internet and digital-payment use.²
The World Bank has estimated that over half of children in low- and middle-income countries are not able to read a simple text by age 10. The World Economic Forum's Future of Jobs Report 2025 observed that 39% of workers' core skills will change by 2030. The figures point to two distinct pressures around human capability: basic reading remains out of reach for many children, while the skills required at work are changing.²
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Read More →The World Economic Forum's Future of Jobs Report 2025 observed that 39% of workers' core skills will change by 2030.
Plan for AI's Near-Term Disruption
If AI companies automate their own work by the end of 2028, roles inside the AI industry itself face the earliest disruption. A worker weighing a job at an AI firm should ask how much of the role depends on tasks the company could hand to its own models. The 50% odds are not a distant scenario; they describe the next few years for the very sector building the technology.¹
AI's use in oil exploration adds a separate risk: the technology's carbon cost could bring regulatory or reputational pressure on both tech and energy employers. A worker choosing between industries should weigh this, especially since 39% of workers' core skills will change by 2030. Building skills that transfer across sectors offers a hedge against both automation and industry-specific backlash.¹²
Sources
Written by Career Ahead AI. AI can make mistakes, so verify key facts. Report errors to support@careeraheadonline.com
