Impossible foods, a fourth industrial revolution technology company, makes a plant based food that smells, tastes, looks like real meat. It threatens the future of the $90 billion meat industry. If only 20% of the world population switches from eating real meat to eating alternative proteins it would free up 12% of total fresh water, free 400 million hectares of land and 960 megatons of CO2 emission.
The First Industrial Revolution
It was triggered by the invention of steam engines, which lead to mechanical production.
The Second Industrial Revolution
It was catalyzed by electricity and the assembly line, made mass production feasible and was catalyzed by the discovery of electricity and assembly line.
The Third Industrial Revolution
From the 1960s onwards, it was driven by computers, digital technology and the internet.
The Fourth Industrial Revolution
It is being driven today by ten technologies that are transforming industrial production: autonomous robots, simulation, big data and analytics, augmented reality, the cloud, cyber security, additive manufacturing, horizontal and vertical integration, the internet of things and artificial intelligence (AI).
These technologies are impacting the entire production value chain from design to productivity, speed and quality of production.
There is widespread concern over the potential impact of fourth industrial revolution on employment. A vast range of jobs are at risk of extinction and rapid scaling could lead to accumulation of job losses. The other fear is that new technologies would lead to increase in inequalities and lack of social cohesion.
- Elon Musk has stated AI represents an essential threat to humanity and has suggested tight regulations.
- Bill Gates has said that robots need to be taxed to compensate for greater efficiency compared to humans and suggested the pace of automation should be slowed down.
A McKinsey report estimates that 400-800 million people around the globe could be displaced by automation and will need to find new jobs by 2030, for which they will require new skills. There will be considerable need for re-skilling and training.
The two indicators holding ease of doing business in India back are enforcement of contracts where India stands at 164 and registering property where India stands at 154 out of 190 countries. About 3 crore cases are currently pending in Indian courts. Two thirds of all civil cases in district courts relate to registering land.
Blockchain based smart contracts could radically reduce litigation, bring transparency in land registry and eliminate corruption relating to land. India has a billion biometrics on Aadhaar. We have a unique opportunity to leverage our public identities to have many applications on a blockchain network.
AI will contribute as much as $15.7 trillion to the world economy by 2030. Given India’s strength in technology, favorable demographics and structural advantages in availability of advanced data Indian can be an AI pioneer. AI has the potential to add $957 billion to India’s economy by 2035, lifting it by 15% (Accenture report). India’s data diversity is a big draw for global AI implementer s.
AI can be a game changer in government where “scale” and “quality” need to be addressed simultaneously.
But firstly, India needs to realign its education system to emphasis skills rather than mere degrees. We must move away from the Anglo-Saxon system of education with emphasis on academic degrees, toward hands on learning in practical subjects.
Secondly, we must constantly upgrade skills. There is a severe shortage of skilled manpower. India needs massive up gradation programmes in new technologies.
Thirdly, we must create a highly flexible, resilient and adaptive workforce which is multi-skilled and has the capacity to undertake digital tasks from anywhere rather than a fixed location.
Fourthly, we must initiate measures to ensure that Indians are fully prepared to embrace the new era of AI, block-chain, additive manufacturing and emerging technologies. This requires a new mindset. Our policies must drive this change.
Fifthly, we must work across disciplines and institutional boundaries. We must break silos. Medical data is an example. Lifesaving opportunities can be utilized by sharing large sets of genomic data across different health providers and research organisations.
Sixthly, our focus must be on social sector – education, health, nutrition where new technologies will enable us to improve the quality of life and enhance our human development index (HDI). These are also the sectors where maximum jobs will be created.