Sanctity.AI

The cost curve does not care about your title.
MIT tested 11,000 real tasks against 40+ AI models. The actual workers judged the results. 73% accuracy on routine work. 55% on creative tasks. The AI is ready. The economics are not. Yet.
Here is what the reel did not cover:
The study is from MIT’s FutureTech research group. They did not test hypothetical jobs. They broke real roles into granular tasks and had the people who do those tasks daily evaluate the AI output. That distinction matters because it means the accuracy numbers come from practitioners, not researchers with a benchmark.
The 86% figure comes from mapping exposed tasks back to occupational demographics. The roles most exposed (administrative support, scheduling, data entry, claims processing, coordination) are disproportionately held by women across nearly every economy studied.
The cost curve: computing costs have followed a consistent halving pattern for decades. When that curve crosses the salary line depends on local wages. North America, Western Europe, and Australia face the shortest timeline. East Asia, Eastern Europe, and parts of Latin America come next. South Asia, Southeast Asia, and Africa have the most runway, but the direction is identical.
A friend of mine said something last week I have not stopped thinking about. She said, “I am not worried about AI taking my job. I am worried that nobody will tell me when it is about to.” That line did not make it into the reel. But it is the reason I made it.
If this changed how you think about your next few years, share it with someone who needs to hear it.

The reel covers what happened. Here’s what it doesn’t.

The deal is called the Agreement on Electronic Commerce. It was led by Australia, Japan, and Singapore and took five years to negotiate. 66 WTO members signed on at MC14 in Cameroon.

Who’s in: the EU, UK, Canada, China, South Korea, Japan, Australia, Singapore, and most major economies. China being inside the deal while the US is outside is one of the least-discussed parts of this story.

Who’s out: the United States withdrew from the negotiations in 2023 under political pressure to regulate Big Tech. India, Brazil, Indonesia, South Africa, Turkey, Colombia, and Bangladesh all refused to sign. Their combined digital populations represent over 2 billion people.

India’s finance case: an estimated $500 million per year in customs duties lost under the old moratorium. Across all developing nations, the figure is roughly $56 billion in potential revenue from digital products that crossed borders untaxed.

The agreement enters into force once 45 of the 66 members complete domestic acceptance. Until then, the signatories are implementing it on an interim basis. The WTO General Council will revisit the moratorium question in Geneva, possibly May 2026.

Why AI matters here: AI models are deployed as cloud services and accessed as electronic transmissions across borders. There are currently no internationally agreed rules for how AI is classified in a trade context. Whether it’s the model itself, the API call, the data processed, or the output generated, nobody has defined which part gets taxed and by whom.

Global e-commerce is projected to hit roughly $25 trillion this year and over $83 trillion by 2035.

The rules being written right now will shape who pays what, where, and to whom for every digital product and service on the planet.

Sources: WTO, ITIF, PwC, CCIA, Business Standard.

Should countries be free to tax digital services at the border? Or does that break the system that built the internet economy?