Tuesday, January 24, 2017

Getting started


I believe God has created us with the ability to achieve our dreams. It is up to us to dream big. Everyone is born with a spirit of courage but as we age slowly develops into a spirit of fear. The quickest path to a mediocre life is to give in to your fear of failure.Do not let doubt and negative thoughts creep into your head. Do you hang out with negative people? People that are constantly complaining about their spouse, their job, their life, etc. Don’t they just suck the life and energy right out of you? Get rid of them, let them live their mediocre lives. Do you ever hear really successful people complaining? No, because they are too busy doing. The only difference between you and the people you admire is they have zero doubt where they are headed. You have to train your mind to have zero doubt. Your thoughts influence your words, and your words influence your actions. If you want to be a great investor, know that you will be one.

I get asked quite often, “I want to be a full time investor someday, how do I get started?” First and foremost, investing isn’t for everyone. If you want to be great at something, it must be your passion. Many mistake greed for passion. Greed and passion are two completely different things. Here is a little test to find out if you are passionate about investing. If you invested all your money and lost it all would you still have the same drive and desire to invest? Would you dig yourself out of that hole or would you just give up and move onto another way to make money? If it’s the former you have passion, and you are ready to succeed.

When I was in my early 20’s managing a meager sum of $10,000 my dream was to become a full time private investor. In six years I would reach my goal, and I would have my freedom. If I can do it, you can too. Every day I would wake up with an unapologetic, fierce, and unwavering passion to reach this goal. I had many naysayers try to push me towards getting a job on Wall Street to “gain experience”, and so many people just looked at me and said, “Why don’t you get a job like everyone else?” The truth is I didn’t want to live like everyone else. Remember when I said get rid of negative people from your life? I actually decided to move away to get away from all negative influences. In most cases to reach your goals you can’t think the way the world thinks.

If you ever want to become good at something you have to immerse yourself in it. If you want to learn a language, you immerse yourself in it. If you want to learn Spanish, go to Spain for a few months. If you want to be a great investor, yes you know what’s coming, immerse yourself in it. When I moved away I was living on my own far away from my friends and family. I had a lot of time on my hands, so I just started reading every investment book I could get my hands on. I wanted to find out what everyone else was doing. It took thousands of hours of reading and researching before I started putting the pieces together. It was really important for me to understand what worked in the past so I could start to develop my investment philosophy for the future.

As a small retail investor just starting out, success might seem like an insurmountable challenge. Even Charlie Munger is quoted by saying, “The first $100,000 is a bitch”. He is right, the first $100,000 – $200,000 – $500,000 is a real grind, but that is when you learn the hard lessons. The knowledge you gain in those years will give you the expertise to make $1 million – $2 million – $5 million a whole lot quicker. Investors generally overestimate what they can do in the short run but greatly underestimate what they can do over a lifetime. There is no reason you can’t make $10 million, $20 million, $50 million or more starting with a very small amount of capital. Other investors have done it, and there is no reason why you can’t either.

When I was on my own and trying to build a capital base, I watched every penny. I was a scrooge. I viewed one dollar I spent as ten dollars I wasn’t going to have in a few years. I got very efficient with eating, buying clothes, etc. My extravagance wasn’t going to the pub and spending $40 on beers and dinner, it was going to Taco Bell and spending $2.48 (yes I still remember) for two beef baja chalupas for dinner. I remember being able to make ends meet on $1,080 per month. You do what you have to do during these crucial capital building years.

New investors like to use the excuse of lack of resources for not getting started. They say, “I don’t have enough money, I don’t have 6 trading screens, I don’t have the right screening software, I don’t have the right technology, I don’t, I don’t”. First, stop using words like Can’t, Don’t, and Won’t. Losers use these words. The truth is you will learn far more without these resources because it will force you to be resourceful. The only resource you need is between your ears.

Be patient. You can’t become a great investor overnight because the most important lessons can’t be taught. They have to be experienced. You are going to make mistakes and lose money. You might lose most of your money a couple of times, like I did, but that is how you learn. Every time I took a loss I never doubted I was going to make it back. In most cases you need to fail so you know what will work the next time. Failure is often the first step toward success. Some of my best investment decisions were right after a big loss. I found that the loss (failure) often times refocused me on what was important and it honed my skills.

“There are two ways to receive wisdom: mistakes and mentors” – Mike Murdock

Mentors are very important in business and personal development. Don’t take advice from someone who has never done what you are about to do. I had a mentor early in my investment career, and it rapidly increased my learning. Mentors are rarely your best friend because they only care about your success, not your comfort. I learned how to effectively communicate with management teams from my mentor. It was irreplaceable.

“As iron sharpens iron, so one person sharpens another” – Proverbs 27:17

Turn off the mainstream financial media outlets. All they do is alert lemmings to investment opportunities that are in their last leg. A great investor and friend of mine Paul Andreola tweeted the other day: “It’s no coincidence that my portfolio returns improved dramatically when I stopped listening to mainstream financial media”. He is 100% correct.Nothing new that is actionable is ever going to come from the mainstream. If the opinions of the herd make zero impact on you, then you are ready to make money.

So now we are at the conclusion. Conclusion? I didn’t even tell you how to invest or what to invest in. The truth is I have no right to do so. You might be a value investor, growth investor, GARP, heck maybe it’s not even stocks. It isn’t for me to decide. Your investment philosophy will be shaped by your experiences. You have to create your own path, your own success story. I’m just here to tell you everything that you dream is possible. Now get started.

Robots Are Taking Over Oil Rigs


The robot on an oil drillship in the Gulf of Mexico made it easier for Mark Rodgers to do his job stringing together heavy, dirty pipes. It could also be a reason he’s not working there today.
The Iron Roughneck, made by National Oilwell Varco Inc., automates the repetitive and dangerous task of connecting hundreds of segments of drill pipe as they’re shoved through miles of ocean water and oil-bearing rock. The machine has also cut to two from three the need for roustabouts, estimates Rodgers, who took a job repairing appliances after being laid off from Transocean Ltd.
“I’d love to go back offshore,” he says. The odds are against him. As the global oil industry begins to climb out of a collapse that took 440,000 jobs, anywhere from a third to half may never come back. A combination of more efficient drilling rigs and increased automation is reducing the need for field hands. And therein lies a warning to U.S. President Donald Trump, who has predicted a flood of new energy-sector jobs under his watch.
Automation, of course, has revolutionized many industries, from auto manufacturing to food and clothing makers. Energy companies, which rely on large, complex equipment for drilling and maintaining oil wells, are particularly well-positioned to benefit, says Dennis Yang, chief executive officer of Udemy, a company in San Francisco that trains workers whose careers were derailed by advanced machinery.
“It used to be you had a toolbox full of wrenches and tubing benders,” says Donald McLain, chairman of the industrial-programs department at Victoria College in south Texas. “Now your main tool is a laptop.” McLain, who worked as a rig hand for 25 years, is helping to retrain laid-off oil workers for more technical jobs.

 Dangerous Talk

During the boom, companies were too busy pumping oil and gas to worry about head count, says James West, an analyst at investment bank Evercore ISI: “We got fat and bloated.” He says the two-and-a-half-year downturn gave executives time to rethink the mix of human labor and automated machinery in the oil fields.
Still, in the current political climate, they’re proceeding cautiously. More robotic drilling ultimately means lower labor costs and fewer workers near some of the most dangerous tasks. But oil companies probably will frame their cost-cutting technologies simply as a way to be more competitive around the world, says West.
“They’ll more likely brag about the automation rather than these head counts,” West says. “It’s kind of dangerous to talk about jobs in the Trump administration.”
Yet Trump is seen as the great hope for more shale-job creation than ever before, says Jay Colquitt, founder of OilfieldTrash.com, an online news portal catering to oilfield workers. As more federal lands open up for drilling, the jobs will follow, he adds.
“Even though modern technology is great, you can’t eliminate the person,” says Rodgers. “To make sure it never fails, you’ve got to have somebody there watching it, to verify it.”
The industry is acutely aware of the heavy reliance on manpower, after the world’s four largest oil-service companies spent $3.12 billion in severance costs during the past two years, says Art Soucy, president of global products and technology for Baker Hughes.
Rigs have gotten so much more efficient that the shale industry can use about half as many as it did at the height of the boom in 2014 to suck the same amount of oil out of the ground, says Angie Sedita, an analyst at UBS Corp. Nabors Industries, the world’s largest onshore driller, says it expects to cut the number of workers at each well site eventually to about five from 20 by deploying more automated drilling rigs.
The impact of technology extends well beyond the wellhead. Automation-related jobs for software specialists and data technicians are in demand as the oil industry recovers, said Janette Marx, chief operating officer of Airswift, an oilfield recruiter. She sees explorers and service companies being much more methodical and selective in their hiring this time around.
“To me, it’s not just about automating the rig, it’s about automating everything upstream of the rig,” says Ahmed Hashmi, head of upstream technology for BP PLC. “The biggest thing will be the systems.”
That means an engineer can design an oil well at his desk. With the press of a button, an automated system would identify the equipment needed from a supplier, create a 3D model and send instructions for building it out into the field, Hashmi says. “That is automation.”

Iron to ‘Correct Down Sharply’ as Supply Rises, Citigroup Says


Iron ore is headed for a sharp decline as higher-grade supplies from Brazil and Australia are set to increase, according to Citigroup Inc., which combined its forecast for a second-half tumble with upgrades to the bank’s outlook in the opening quarters of the year.
Recent gains have been supported by a deficit in higher-grade material, analysts including Ed Morse said in a note received Monday. The bank boosted its first-quarter forecast to $77 a metric ton from $60, raised the second-quarter call to $70 from $57, while holding the fourth-quarter figure at $53. 
Iron ore surged last year as government stimulus in China buttressed demand for imports, buoying global miners including Rio Tinto Group, BHP Billiton Ltd. and Vale SA. The unexpected rally was supported by a jump in coal prices, which aided mills’ demand for higher-grade ore to improve efficiency. China’s push to clamp down on pollution that’s fueled smog has also added to demand for premium products, according to Citigroup. 
The bank expects “prices to correct down sharply in the second half, with 50 to 60 million tons a year of high-grade ore supply from Brazil and Australia ramping up,” it said in the Jan. 22 note. “Chinese iron ore output may also rise,” it said, citing a forecast from MySteel for a 15 million ton increase.
Ore with 62 percent content in Qingdao rose 0.9 percent to $81.13 a dry ton on Monday, according to Metal Bulletin Ltd. Prices hit a two-year high of $83.65 on Jan. 16 and are up 2.9 percent in 2017 after last year’s surge.
Stockpiles of ore held at ports in China climbed to a record 119.1 million tons last week, according to Shanghai Steelhome Information Technology Co. Citigroup said that as more than 95 percent of the build-up during 2016 was probably low-grade material, the high-grade market remains fairly tight.
While other forecasters including Barclays Plc have also flagged the potential for losses over 2017, some are more optimistic. Iron ore will probably hold its ground in 2017 or may even advance as China’s imports rise, according to a survey of industry participants conducted by Singapore Exchange Ltd., which operates derivatives contracts that help to set global prices.
Iron ore’s surprise jump has benefited miners’ shares. In Brazil, Vale’s stock more than doubled last year, and it has extended gains in 2017. Rio rallied in Sydney last year and the company has risen each week so far in January.

Monday, January 23, 2017

FMCGs hit harder in urban areas


The impact of demonetisation on sales of FMCG categories in urban markets has been more than double as comapred to rural markets. The dip in volume of sales in the overall urban FMCG category was at 24.37 per cent, compared to the overall rural FMCG category, where the drop was at 7.47 per cent between the pre- and post-demonetisation months of October and December, according to data from Brickworks Media (a concern of Chrome DM), a research and data analytics company.
In the urban markets, it was a non-seasonal category like noodles, which felt a greater impact where sales dropped to 33.23 per cent – while tea remained the least impacted at 10.77 per cent.
But it was soft drinks which had a double whammy at a 36.8-per-cent drop in sales, as it was a seasonal category when consumption was low in the winter months and the added impact of demonetisation led to an even further fall in volumes.
Low-ticket size categories like biscuits and candies also faced a double-digit drop in sales at 24.77 per cent and 24.13 per cent respectively. Non-food categories like detergents dropped at 16.46 per cent, and discretionary categories like personal care products were down by 27.93 per cent. Toothpaste and soaps were also down in urban markets by 16.17 per cent and 18.5 per cent respectively.
In rural markets, it was the soft drinks category that faced the maximum drop in sales at 13.8 per cent, followed by the chips and snacks category at 10.9 per cent.
Noodles also dropped 7.41 per cent, while tea sales were lower by 6.86 per cent. Low-value food categories like biscuits and candies suffered a drop at 5.13 per cent and 4.13 per cent, respectively.
The volume of sales of non-food categories like detergents also dropped 9.46 per cent while toothpaste (9.17 per cent), soaps (8.79) and personal care products(6.93) also declined in the rural markets between October and December. According to Pankaj Krishna, Founder and CEO, Brickworks Media: “The products of daily usage in the food category has seen a lower impact in the rural markets due to continued purchase on credit. Distributors and stockists have also been buying products on credit, which has helped the movement of FMCG products across the supply chain.’’
Consumer durables
In the case of consumer durables and mobile phones, the drop in sales has been sharper. For instance, in the home appliances category, demonetisation led to a 43 per cent drop in sales in the rural markets compared to a 54 per cent decline in the urban markets.
Explaining the trend in consumer durables, Krishna added: “Higher categories like consumer durables and mobile phones have been adversely impacted in rural markets, where all transactions happen in cash. In such categories, urban areas have seen comparatively lower impact as there have been cash-backs, credit card discounts, online offers and back-date billings.

Monday, January 16, 2017

Big Data for the next green revolution


It is clear that the projected population growth and urbanisation rates will have dramatic impacts on food security across the world by 2050. The impacts are multi-sectoral and extend well beyond food into infrastructure, healthcare, and technology.
However, technology has the potential to re-shape these trends for the benefit of society. Technology is disrupting all areas of agricultural value chain, driving countless opportunities and challenges particularly around profitably feeding the 9.6 billion people on Earth by 2050.
At the same time, the growing demand for food and shifting food security needs are driving innovation in the resource space. World is now more inter-connected, spawning massive data and exploration of these data can help to drive decision making that can transform the farm source-to-consumer value chain. Agri-businesses are subject to numerous regulations and consumer requirements across their supply chain. Of the several touchpoints along the agri-value chain, each hold critical information that can help businesses make the most of their resources, provide greater transparency in their processes and protect consumers.
Big Data has the potential to add value across each touchpoints starting from selection of right agri-inputs, monitoring the soil moisture, tracking prices of markets, controlling irrigations, finding the right selling point and getting the right price.
What data can do
Big-data businesses can analyse varieties of seeds across numerous fields, soil types, and climates. Similar to the way in which Google can identify flu outbreaks based on where web searches are originating, analysing crops across farms helps identify diseases that could ruin a potential harvest. The challenges and opportunities of data is immense in a country like India with 638,000 villages and 130 million farmers speaking around 800 languages with 140 million hectares of cultivable land under 127 agro climatic regions capable of supporting 3,000 different crops and one million varieties.
Self-driven vehicles can already drive themselves across fields using Global Positioning System (GPS) signals accurate to less than inch of error thus helping farmers plant more accurately, but the real potential is what happens when this data from thousands of tractors on thousands of farms is collected, grouped and analysed in real time.
Precision agriculture aids farmers in tailored and effective water management, helping in production, improving economic efficiency and minimising waste and environmental impact. Recent progress in Big Data and advanced analytics capabilities and agri-robotics such as aerial imagery, sensors, and sophisticated local weather forecasts can truly transform the agri-scape and thus holds promise for increasing global agricultural productivity over the next few decades.
Right information
Farmers need accurate weather forecasts and accurate information on the inputs they can use. Optimising input factors (e.g., nutrients, irrigation, and pest control) can help protect natural resources. The use of granular data (for example, data for every 100 meter square of a field) and analytical capability to integrate various sources of information (such as weather, soil, and market prices) will help in increasing crop yield and optimising resource usage, lowering cost. Since, climate change and extreme weather events will demand proactive measures to adapt or develop resiliency, Big Data can bring in the right information to take informed decisions.
Big Data and advanced analytics are streamlining food processing value chains by finding the core determinants of process performance, and taking action to continually improve the accuracy, quality and yield of production. Big Data is already being used for optimising production schedules based on supplier, customer, machine availability and cost constraints.
It can provide agri-business with greater visibility into supplier quality levels, and greater accuracy in predicting supplier performance over time. In India, every year 21 million tons of wheat is lost, primarily due to scare cold-storage centres and refrigerated vehicles, poor transportation facilities and unreliable electricity supply. Big Data has the potential of systematisation of demand forecasting thus reducing such losses.
Connecting the dots
A trading platform for agricultural commodities that links small-scale producers to retailers and bulk purchasers via mobile phone messaging can help send up-to-date market prices via an app or SMS and connect farmers with buyers, offering collective bargaining opportunities for small and marginal farmers.
India should look at establishing a systematic mechanism to capture the data that could offer additional value-creating opportunities. In particular, rapid proliferation of mobile technologies in rural populations could let farmers in these areas to improve productivity based on decision made backed by better information grounded on Big Data. It also has the potential to change the agri-business models including revenue models, as businesses will have the opportunity to offer new products and services thus developing sustainable revenue streams.
Proliferation of data offers unprecedented opportunities to understand consumer needs and preferences of farmers, and to deliver tailored services and products for organisations that can make sense of this data.
Given all this, today is right time for agri-businesses to lead on defining what better practices on data use are available. There is need to formulate a business model wherein value can be captured from the scale of data being captured by different players in the agri-supply chain. Companies must act now to focus, simplify and standardise big data through an enterprise-wide data management strategy as Big Data poise to deliver the next revolution of farming.

China’s embrace of a new electricity-transmission technology holds lessons for others


YOU cannot negotiate with nature. From the offshore wind farms of the North Sea to the solar panels glittering in the Atacama desert, renewable energy is often generated in places far from the cities and industrial centres that consume it. To boost renewables and drive down carbon-dioxide emissions, a way must be found to send energy over long distances efficiently.
The technology already exists (see article). Most electricity is transmitted today as alternating current (AC), which works well over short and medium distances. But transmission over long distances requires very high voltages, which can be tricky for AC systems. Ultra-high-voltage direct-current (UHVDC) connectors are better suited to such spans. These high-capacity links not only make the grid greener, but also make it more stable by balancing supply. The same UHVDC links that send power from distant hydroelectric plants, say, can be run in reverse when their output is not needed, pumping water back above the turbines. 
Boosters of UHVDC lines envisage a supergrid capable of moving energy around the planet. That is wildly premature. But one country has grasped the potential of these high-capacity links. State Grid, China’s state-owned electricity utility, is halfway through a plan to spend $88bn on UHVDC lines between 2009 and 2020. It wants 23 lines in operation by 2030.
That China has gone furthest in this direction is no surprise. From railways to cities, China’s appetite for big infrastructure projects is legendary (see article). China’s deepest wells of renewable energy are remote—think of the sun-baked Gobi desert, the windswept plains of Xinjiang and the mountain ranges of Tibet where rivers drop precipitously. Concerns over pollution give the government an additional incentive to locate coal-fired plants away from population centres. But its embrace of the technology holds two big lessons for others. The first is a demonstration effect. China shows that UHVDC lines can be built on a massive scale. The largest, already under construction, will have the capacity to power Greater London almost three times over, and will span more than 3,000km.
The second lesson concerns the co-ordination problems that come with long-distance transmission. UHVDCs are as much about balancing interests as grids. The costs of construction are hefty. Utilities that already sell electricity at high prices are unlikely to welcome competition from suppliers of renewable energy; consumers in renewables-rich areas who buy electricity at low prices may balk at the idea of paying more because power is being exported elsewhere. Reconciling such interests is easier the fewer the utilities involved—and in China, State Grid has a monopoly.
That suggests it will be simpler for some countries than others to follow China’s lead. Developing economies that lack an established electricity infrastructure have an advantage. Solar farms on Africa’s plains and hydroplants on its powerful rivers can use UHVDC lines to get energy to growing cities. India has two lines on the drawing-board, and should have more.
Things are more complicated in the rich world. Europe’s utilities work pretty well together but a cross-border UHVDC grid will require a harmonised regulatory framework. America is the biggest anomaly. It is a continental-sized economy with the wherewithal to finance UHVDCs. It is also horribly fragmented. There are 3,000 utilities, each focused on supplying power to its own customers. Consumers a few states away are not a priority, no matter how much sense it might make to send them electricity. A scheme to connect the three regional grids in America is stuck. The only way that America will create a green national grid will be if the federal government throws its weight behind it.
Live wire
Building a UHVDC network does not solve every energy problem. Security of supply remains an issue, even within national borders: any attacker who wants to disrupt the electricity supply to China’s east coast will soon have a 3,000km-long cable to strike. Other routes to a cleaner grid are possible, such as distributed solar power and battery storage. But to bring about a zero-carbon grid, UHVDC lines will play a role. China has its foot on the gas. Others should follow.

Equipping people to stay ahead of technological change


WHEN education fails to keep pace with technology, the result is inequality. Without the skills to stay useful as innovations arrive, workers suffer—and if enough of them fall behind, society starts to fall apart. That fundamental insight seized reformers in the Industrial Revolution, heralding state-funded universal schooling. Later, automation in factories and offices called forth a surge in college graduates. The combination of education and innovation, spread over decades, led to a remarkable flowering of prosperity.
Today robotics and artificial intelligence call for another education revolution. This time, however, working lives are so lengthy and so fast-changing that simply cramming more schooling in at the start is not enough. People must also be able to acquire new skills throughout their careers. 
Unfortunately, as our special report in this issue sets out, the lifelong learning that exists today mainly benefits high achievers—and is therefore more likely to exacerbate inequality than diminish it. If 21st-century economies are not to create a massive underclass, policymakers urgently need to work out how to help all their citizens learn while they earn. So far, their ambition has fallen pitifully short.
Machines or learning
The classic model of education—a burst at the start and top-ups through company training—is breaking down. One reason is the need for new, and constantly updated, skills. Manufacturing increasingly calls for brain work rather than metal-bashing (see Briefing). The share of the American workforce employed in routine office jobs declined from 25.5% to 21% between 1996 and 2015. The single, stable career has gone the way of the Rolodex.
Pushing people into ever-higher levels of formal education at the start of their lives is not the way to cope. Just 16% of Americans think that a four-year college degree prepares students very well for a good job. Although a vocational education promises that vital first hire, those with specialised training tend to withdraw from the labour force earlier than those with general education—perhaps because they are less adaptable.
At the same time on-the-job training is shrinking. In America and Britain it has fallen by roughly half in the past two decades. Self-employment is spreading, leaving more people to take responsibility for their own skills. Taking time out later in life to pursue a formal qualification is an option, but it costs money and most colleges are geared towards youngsters.
The market is innovating to enable workers to learn and earn in new ways. Providers from General Assembly to Pluralsight are building businesses on the promise of boosting and rebooting careers. Massive open online courses (MOOCs) have veered away from lectures on Plato or black holes in favour of courses that make their students more employable. At Udacity and Coursera self-improvers pay for cheap, short programmes that bestow “microcredentials” and “nanodegrees” in, say, self-driving cars or the Android operating system. By offering degrees online, universities are making it easier for professionals to burnish their skills. A single master’s programme from Georgia Tech could expand the annual output of computer-science master’s degrees in America by close to 10%.
Such efforts demonstrate how to interleave careers and learning. But left to its own devices, this nascent market will mainly serve those who already have advantages. It is easier to learn later in life if you enjoyed the classroom first time around: about 80% of the learners on Coursera already have degrees. Online learning requires some IT literacy, yet one in four adults in the OECD has no or limited experience of computers. Skills atrophy unless they are used, but many low-end jobs give workers little chance to practise them.
Shampoo technician wanted
If new ways of learning are to help those who need them most, policymakers should be aiming for something far more radical. Because education is a public good whose benefits spill over to all of society, governments have a vital role to play—not just by spending more, but also by spending wisely.
Lifelong learning starts at school. As a rule, education should not be narrowly vocational. The curriculum needs to teach children how to study and think. A focus on “metacognition” will make them better at picking up skills later in life.
But the biggest change is to make adult learning routinely accessible to all. One way is for citizens to receive vouchers that they can use to pay for training. Singapore has such “individual learning accounts”; it has given money to everyone over 25 to spend on courses from 500 approved providers. So far each citizen has only a few hundred dollars, but it is early days.
Courses paid for by taxpayers risk being wasteful. But industry can help by steering people towards the skills it wants and by working with MOOCs and colleges to design courses that are relevant. Companies can also encourage their staff to learn. AT&T, a telecoms firm which wants to equip its workforce with digital skills, spends $30m a year on reimbursing employees’ tuition costs. Trade unions can play a useful role as organisers of lifelong learning, particularly for those—workers in small firms or the self-employed—for whom company-provided training is unlikely. A union-run training programme in Britain has support from political parties on the right and left.
To make all this training worthwhile, governments need to slash the licensing requirements and other barriers that make it hard for newcomers to enter occupations. Rather than asking for 300 hours’ practice to qualify to wash hair, for instance, the state of Tennessee should let hairdressers decide for themselves who is the best person to hire.
Not everyone will successfully navigate the shifting jobs market. Those most at risk of technological disruption are men in blue-collar jobs, many of whom reject taking less “masculine” roles in fast-growing areas such as health care. But to keep the numbers of those left behind to a minimum, all adults must have access to flexible, affordable training. The 19th and 20th centuries saw stunning advances in education. That should be the scale of the ambition today.