AI and Blockchain are two different technologies to start with. To be honest, as someone who spent most of his career in IT, blockchain to me is still mainly a solution looking for a problem. It's a tool/building block, like a brick. Bricks are great but not suitable for everything. Sure, you can build a ship with bricks but it won't be the best ship you can build. The same goed for blockchain. First try to figure out the problem you want to solve, then look for the best tools instead of starting with the idea that everything cn be solved with blockchain. In the end it's just a glorified distributed database that won't allow edit in its content.

As for AI, it's a curse and a blessing at the same time. In the context of the highly competitive and unequal world we live in today it's more a curse than a blessing though. Especially since we still couple income to a paid job. If you add the content of David Graeber's book 'Bullshit Jobs' to that it becomes clear that we need a change.

That change needs to be systemic.

One huge leverage point is the monetary system. The one we have today is full of incentives that push towards profit maximisation, short term capitalisation (and hence short term thinking) and greed. We need one that incentivises long term thinking, collaboration and sharing (here's an option: Preprint An alternative general-purpose money supply model for a futu...

The second system that's up for change is our voting system. It pushes towards hyper competition for votes and polarisation. A good alternative would be the Shulze STV (https://en.wikipedia.org/wiki/Schulze_STV). It's easy to use and it's one where the most collaborative parties would triumph.

Change those two systems and we live in an entirely different world.

Tokenomics, the economic model built around tokens, has gained significant traction in the context of artificial intelligence (AI). However, it is crucial to address concerns and potential risks associated with the underground economy, such as money laundering and illicit transactions.

Tokenomics is a growing trend that leverages tokens as a means of value exchange, incentivization, and governance within AI ecosystems. It has the potential to revolutionize various industries by enabling decentralized networks and innovative business models. By utilizing tokens, AI projects can facilitate seamless transactions, incentivize participation, and foster collaboration among participants.

However, there are valid concerns about the potential misuse of tokenomics within the underground economy. The anonymous nature of some token transactions can present opportunities for money laundering and illicit activities. Without appropriate regulatory frameworks and oversight, it becomes challenging to monitor and prevent such illegal activities.

To address these concerns, it is essential for governments, regulatory bodies, and industry players to collaborate in establishing robust compliance measures. Implementing know-your-customer (KYC) protocols, anti-money laundering (AML) regulations, and enhanced due diligence practices can help mitigate the risks associated with the underground economy in tokenized ecosystems.

Moreover, technological advancements such as blockchain can contribute to creating transparent and traceable token transactions. By leveraging blockchain's immutable ledger, it becomes easier to identify and track any suspicious activities, deterring potential illicit transactions.

In summary, while Tokenomics presents exciting opportunities in the AI landscape, it is crucial to be aware of the potential risks associated with the underground economy. By implementing strong regulatory frameworks, embracing transparency, and leveraging innovative technologies, we can mitigate these concerns and foster the responsible and sustainable growth of tokenized economies in the context of AI.

https://upload.wikimedia.org/wikipedia/commons/e/ee/Legal_status_of_bitcoin.png