Strategic Plan

Megatrends

Plan Details

Megatrends are defined as global, macro forces that will transform business, the marketplaces that they operate in, and society at large. The term was first coined more than 35 years ago by US author, John Naisbitt in his first book ‘Megatrends: Ten New Directions Transforming Our Lives'.

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Plan submitted by:

Chris Fox

Analysis

PESTEL Analysis

Political

  • Increased nationalism
  • Economic and cyber cold warfare

Economic

  • The 'gig economy'
  • Emerging business models
  • Shift in global economic power
  • Reducing extreme poverty
  • Organisations will fragment

Social

  • Demographic change
  • Urbanisation
  • Generational waves
  • From learning to doing

Technological

  • Artificial Intelligence
  • The fourth Industrial Revolution
  • Nanotechnology
  • Online
  • Diversity
  • Data driven life-hacking

Environmental

  • Climate change and resource scarcity
  • Clean energy

Legal

  • Big Tech regulation
  • Big Tech taxation
  • Big Tech antitrust

Insight Details

The 'gig economy'

The 'gig economy' where, instead of holding regular jobs, independent workers accept piece work, is most popular characterised by businesses like Uber. However, it probably also includes a broader move towards self-employment and micro-businesses.

More recently, experts have started to conclude that the gig economy has had less impact on the economy than first imagined. (Source: How Estimates of the Gig Economy Went Wrong - WSJ)

Artificial Intelligence

AI encompasses a variety of different methods. AI researcher Pedro Domingos explains that there are five basic approaches to machine learning, from neural nets that mimic the brain, to support vector machines that classify different types of information and graphical models that use a more statistical approach. (Source: Four Things Every Leader Should Know About Applying Artificial Intelligence To Business – Innovation Excellence published 01/11/2018)

Considerations:

  • Artificial intelligence will destroy some forms of work whilst create new forms of work. No-one knows for sure what the net effect on jobs will be, but the skills required to succeed in the future will be different.

    The invention of the wheel in about 5,000 BC meant that you needed fewer people to move a heavy stone block. Instead of making the rest redundant, they simply started moving more and larger stones. The same can be said for steam power, electricity, and computing power, and there is little reason to believe that the same will not be true of artificial intelligence, and whatever follows it.

    AI skills are the fastest growing category on Linkedin, increasing by 190% globally from 2015 to 2017.

    Simultaneously, what will matter most at work is what is left after AI and automation - humanity. The fastest growing skills gaps relate to soft skills: oral communication, people management, time management and leadership.

    Research by the IMF suggests that automation will affect women's jobs disproportionately as they tend to be employed in more routine jobs.

  • As machines take on more and more complex roles, the ethical considerations become more complex. For example, in a situation where the death of either a passenger or a pedestrian is unavoidable, how should an autonomous vehicle choose?

Emerging business models

There is a gradual shift from business models predicated on selling products to business models predicated on service subscriptions, shared ownership and rental:

A platform is a business model that allows multiple participants (producers and consumers) to connect to it, interact with one another, and create and exchange value. The most successful companies in the digital era, including Alibaba, Amazon, and Facebook, were all designed on platform business models. (Source: Insurance beyond digital: The rise of ecosystems and platforms | McKinsey) Uber and AirBnb are other examples of well-known platform businesses.

An ecosystem, meanwhile, is an interconnected set of services that allows users to fulfil a variety of needs in one integrated experience.

  • Consumer (B2C) ecosystems currently emerging around the world tend to concentrate on needs such as travel, healthcare, or housing.
  • Business-to-business (B2B) ecosystems generally revolve around a certain decision maker—for example, marketing and sales, operations, procurement, or finance professionals.

(Source: Insurance beyond digital: The rise of ecosystems and platforms | McKinsey)

Personalisation and Mass Customisation

Since the second industrial revolution, commerce has been driven by economies of scale: standardising products and services and then flogging them to as many people as possible. (Think of the Model T Ford, available in any colour as long as it is black!)

But that is changing. Technology is allowing firms to deliver services personalised to individual customers and customised to increasingly small customer segments.

This is enabled by technologies such as Artificial Intelligence, 3D printing. AI allows firms to line about customers on an increasingly granular level, whilst 3D printing allows them to personalise products for those customers.

Examples:

  • Shapeways profiles customers before sending them a selection of clothing. The customer buys what they want and returns the rest. The AI learns from these choices and then sends a better selection next time. (Source: Bigger Is No Longer Better When It Comes to Consumer Brands published 29/08/2018)

Climate change and resource scarcity

  • As the world becomes more populous, urbanised and prosperous, demand for energy, food and water will rise. But the Earth has a finite amount of natural resources to satisfy this demand. (Source: Megatrends - Issues - PwC UK)

The fourth Industrial Revolution

The first Industrial Revolution was powered by the invention of the steam engine. The second was powered by electricity and characterised by the development of the mass production assembly line and the division of labour. The third was powered by the development of the digital computer. The fourth is being powered by artificial intelligence.

(Image source: 4th Industrial Revolution Will Change Companies from the Inside – Innovation Excellence)

The fourth Industrial Revolution is powered by a combination of:

  • Artificial Intelligence and machine learning,
  • the Internet of Things (IoT),
  • additive manufacturing or 3D printing, and
  • automation and robotics

BNY Mellon has described it as "the convergence of physical and digital that can create a digital feedback loop leading a specific outcome in the real world." (Source: The many faces of Industry 4.0)

The digital revolution has no boundaries or borders. It is changing behaviour and expectations as much as the tools used to deliver new services and experiences. (Source: Megatrends - Issues - PwC UK)

Demographic change

Shift in global economic power

Some emerging economies that were growing rapidly are now in recession. Commodity prices have played a considerable role in sending these economies into reverse. (Source: Megatrends - Issues - PwC UK)

Urbanisation

  • Today, more than half the world’s population live in urban areas and almost all of the new growth will take place in lesser known medium-sized cities of developing countries. (Source: Megatrends - Issues - PwC UK)
  • The increasing pressures of urbanisation are leading to increasing interest in 'smart cities' (Source: Anatomy of a smart city)
  • As a counter-trend, worsening commutes and increasing real-estate prices mean that large employers will look for alternatives to concentration in large cities. This could include smaller regional offices, flexible working from home, or working from localised shared work-centres with virtual teams enabled by collaboration technologies.

Generational waves

By 2019, Generation Z will outnumber millennials, and for the first time in modern history, 5 generations will work side by side.

Demographic cohorts:

  • Gen Z: those born from 1997 onward. 1/3rd of the global population and 1/5th of the working population.
  • Gen Y or Millenials or Echo Boomers: those born between the mid-80s and the early 2000s.
  • Gen X: those born from the early to mid-1960s to the early 1980s.
  • Baby Boomers: those born between the mid-1940s and the early to mid-1960s
  • The Silent Generation or G.I. Generation (US): those born between the mid-1920s and the early-mid 1940s.

Online

In 2019, for the first time, globally, people will spend more hours a day on the Internet than watching TV, consuming more content than ever before in history.

Increased nationalism

As evidenced by Brexit and Trump, and not that long ago the Scottish and Catalan independence movements.

This will make immigration harder and exacerbate the refugee crisis as well as the impact of aging populations on developed nations.

This will extend to the digital sphere, with China developing a shadow internet, and some non-European firms choosing to block European web visitors rather than comply with GDPR regulations.

Diversity

Institutions, including employers, will learn to embrace diversity: of ability, gender diversity, neurodiversity, etc.

Inclusive design - designing products and services for people with different needs from the outset, rather than adapting products and services after the fact - will become more commonplace.

Movements like #metoo will ruthlessly seek out and expose any remaining dark corners.

Big Tech regulation

Concerns about data privacy will:

  • lead to increase regulation, such as the GDPR
  • cause some people to close their accounts, but more to use ad blockers and opt out of cookies.

Big Tech taxation

Local and national authorities are looking for more effective ways to tax big tech firms who redirect profits to lower tax jurisdictions:

  • The UK: planning a digital tax of 2% on tech companies
  • The EU: tax reform has petered out.
  • The US:
    • Seattle: head tax
    • San Francisco: Proposition C
  • India, South Korea, Mexico and Chile are all working on the same idea.

Big Tech antitrust

The US has traditionally shied away from this fearing it could stifle innovation, but Europe has a freer hand and fewer local tech giants.

Reducing extreme poverty

Over the last 25 years, more than a billion people have lifted themselves out of extreme poverty. The global poverty rate is at its lowest level in recorded history.

Economic and cyber cold warfare

Whilst global economies may be too integrated for full trade or cyberwarfare, escalating tension between the US and China may lead to a cold war.

Data driven life-hacking

We will increasingly turn to data to 'hack' our lives.

This will initially focus on:

  1. Health care: Patients will have access to their own data and medical professionals will have better access to more of it.
  2. Personal finances: It will have a similar effect on personal finance, with improved transparency and individual control co-evolving with better support from professionals.

Organisations will fragment

As the gig economy moves up the value chain, and inter-company collaboration increases, big corporates will increasingly fragment into smaller autonomous and collaborative ecosystems.

Clean energy

Old technology, like the internal combustion engine, will get smarter before it goes away. For example:

  • an anti-smog device installed on the engine for a few hundred bucks that reduces fuel consumption by 20% and particles by 80%.
  • built-in AI in your car can help you drive greener and cut another 20% off the bill.
  • today, half the energy we use is wasted because we have inefficient systems.

And it is not just technology. Insects have more protein than any other meat and are lauded as an environment-friendly way to feed a growing population. Already, over 2 billion people worldwide consume insects on a regular basis for a source of protein.

From learning to doing

As the world continues to change their will be a premium on life-long learning. But we will learn that learning from books is no substitute for learning by doing.

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