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The COVID-19 pandemic has accelerated global social and economic change that would otherwise have taken years to realise on a scale like no other. Today, we witness countries all over the world taking calculated risks as they ease societal restrictions. However, there is no such thing as going back to normal, asserts Telenor Research.

“The pandemic has shown that necessity is the mother of all innovation. It is clear that the pendulum is swinging towards the need for reflection and deeper changes in the way we run our cities, our companies and our communities,” says Gorm Andreas Grønnevet, Vice President at Telenor Research.

As Telenor’s research arm, the team has taken a step back in order to look forward, identifying three key predictions that would shape our new, post-coronavirus reality.

Prediction 1: New city infrastructure to facilitate a new way of work

We see that this has opened people’s eyes to the possibility that traditional office complexes are not so essential after all as the pandemic forces many typically office-bound workers to work out of their homes. More and more people are starting to adjust to working remotely, either from home or near home, for example, in a co-working space. We expect the pandemic to accelerate this trend. More governments will start to re-think the way they organise their cities, re-allocating more resources to digital and communications infrastructure as the number of workers operating from home or co-working spaces increases.

These hubs will allow workers to be scattered across the cities and closer to residential areas to cut down on commuting time needed. Less commuting means less time spent in traffic and less traffic in general, which leads to less pollution, cleaner air, improved public health and increased productivity and efficiency. In conclusion, the post-pandemic cities will see fewer traditional office complexes and more hubs, and as a result, become increasingly environmental and pedestrian-friendly.

Prediction 2: Recruitment + AI = Match  

Along with the lockdowns came economic consequences. We also saw new types of jobs emerge while millions of jobs were lost, to cope with unique needs stemming from the pandemic and the new limitations on immigration. The traditional forms of hiring just take too long and many existing skillsets are in dire need of updates in a job market saturated with displaced workers and new manpower needs. We predict that artificial intelligence (AI) holds the key to transform the employment game for the better.

Algorithms will filter out unsuitable positions and candidates, and connect the right seekers with the right employers by processing comprehensive background information about employers and potential candidates. The speed and accuracy from AI headhunting will not only reduce time and money spent searching for jobs and new employees, it will also reduce turnover as the chances for a ‘perfect match’ between both parties increases.

AI will help workers keep up-to-date, identifying critical competencies they need to train themselves in to prepare for the future and the ever-changing job market. Insight into skills for the future and how they can upskill in advance will also give young people and unemployed a leg up in becoming attractive candidates for employers.

Prediction 3: Crowd movements to the rescue

Data is becoming an increasingly important tool in fighting rapid spread of infectious diseases. However, the recent use of people’s movement data during COVID-19 has also triggered a huge privacy debate. The calls for safeguarding the individual’s privacy are getting increasingly louder, which is why we predict a future rise in the use of aggregated, anonymous data from mobile phone signals, instead of app location data.

A Harvard Business Review article attests that telco data can be used in public health emergencies in a responsible and anonymised format, citing Telenor’s collaborations with local health authorities to model, predict and respond to outbreaks around the world, most recently in Norway and Denmark. Previous Telenor studies in Pakistan and Bangladesh in predicting the spread of dengue and malaria also prove that aggregated mobility data improves the accuracy of epidemiological models, enabling governments and health authorities to better target their containment measures as well as relief efforts. Individuals concerned about Big Brother watching will be reassured to know that these location traces only provide an overview of general travel patterns, and the data reported only trace movements of groups.

The potential for mobility analytics stretches far beyond disease prediction. It can also contribute to smart city planning, environmental analysis and helping industries like travel to get back on their feet. The possibilities are endless.

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