Blockchain – “5 Predictions by Experts for 2030”

Ray Valdes (CTO- ConsenSys) and Kate Mitselmakher (CEO – Bloccelerate VC) have given up their jobs at the well-known technology research company Gartner to join the blockchain movement. The two are no strangers to the blockchain world but experts and don’t just talk about anything therefore. In their opinion, we are still in the beginning and they give 5 predictions of how blockchain technology will shape the world by 2030.

Prediction 1:
By 2030, most governments around the world will create or adopt virtual currencies. The state currency of the future will inevitably become a cryptocurrency. Compared to the traditional Fiat alternative, cryptocurrency is more efficient, offers shorter billing times and offers increased traceability.

Prediction 2:
By 2030, among the four highest-rated companies in the world (based on stock market valuation), there will be a race over which will be the first $1 trillion in value. By using blockchain technology and their value of tokens, then in the running are Apple, Amazon, Alphabet (Google) and Microsoft.

Prediction 3:
By 2030, identity systems as we know them today will be replaced by blockchain-based identity systems. These systems provide a single source for verifying people’s identities and assets.

Prediction 4:
By 2030, most of the world’s world trade will be run using blockchain technology. One of the most promising areas is the global supply chain. In its current state, global trade is conducted over a chaotic, fragmented business relationship between parties that are untrustworthy.

Prediction 5:
By 2030, significant improvements in the world’s living standards will be due to the development of blockchain technology. Poverty and income discrepancy are arguably the most difficult problems for humanity. More than 10 of the world’s population, more than 750 million people, live on less than $2 a day. Although overall living standards are rising and global GDP is rising, the rich are getting richer and the poor are getting poorer.