Supertrends 2022 Credit Suisse — Artificial intelligence (AI)— Digital age workhorse (excerpt of trend #3.3 — Technology)


This is an excerpt of the report “Supertrends 2022 — Here to stay. From societal trends to investor impact.” , with the title above, focusing on the topic in question.


Credit Suisse
Michael Strobaek; Nannette Hechler-Fayd’herbe
, Daniel Rupli
July 2022


Excerpt by


Joaquim Cardoso MSc.
Health Revolution — Institute

Institute for continuous health and digital transformation.
Supertrends — Unit
July 1, 2022


Synthesis of Supertrends:


  • 1.Anxious societies — Inclusive Capitalism
  • 2.Infrastructure — Closing the gap
  • 3.Technology — At the service of humans
  • 4.Silver economy — Investing for population aging
  • 5.Millennials’ values — Gen Z and Y
  • 6.Climate change — Decarbonizing the economy


  • 1.Digitalization — Meet the Metaverse
  • 2.Virtual reality — Living in a virtual world
  • 3.Artificial intelligence — Digital age workhorse
  • 4.Industry 4.0 — Smarter supply chains
  • 5.Healthtech — Now entering the hologram


3.Artificial intelligence — Digital age workhorse


The pandemic has proven to be a massive disruptor in terms of many traditional businesses during the past two years.

At the same time, it has acted as a catalyst for digital technologies, in particular artificial intelligence (AI), machine learning and data analytics. Consulting firm McKinsey & Company’s 2021 survey (The State of AI in 2021) found that 56% of survey respondents reported AI adoption in at least one function, up from 50% of respondents in 2020 18.

In addition, more respondents reported that AI contributed to their bottom line.


… 56% of survey respondents reported AI adoption in at least one function, up from 50% of respondents in 2020


In addition, more respondents reported that AI contributed to their bottom line.


That being said, we may still be some distance away from realizing the full potential and widespread adoption of AI, as building sizeable AI capabilities requires significant investment, AI talent and computing power.


… we may still be some distance away from realizing the full potential and widespread adoption of AI, as building sizeable AI capabilities requires significant investment, AI talent and computing power.


While hyper-scale providers have somewhat bridged this gap, we believe there is tremendous growth ahead.

Putting this opportunity into perspective, worldwide AI software revenue should expand by 21% to USD 62.5 billion in 2022, with growth coming from software demand for autonomous vehicles, virtual assistants and knowledge management, among other areas, according to a Gartner® forecast 19.


While we expect AI to create great value in the near future, it has already made substantial inroads in recent years.

Amazon recently announced that Amazon Web Services (AWS) and Gilead Sciences have agreed to collaborate on the development and delivery of new medicines to patients by using AWS’s machine learning and analytics to improve clinical trial design and advance data-driven decision making.


In the gaming world, Sony has developed an AI-based agent (Gran Turismo Sophy) to make its Gran Turismo racing simulator game more realistic.

The program trains users continuously through deep reinforcement learning and provides an enhanced competitive environment compared to traditional gaming.


Sony believes this innovation should open up new opportunities in areas such as autonomous racing and driving, high-speed robotics and control.


Overall, we believe that AI adoption will continue to expand due to its potential to fuel innovation, increase scale, reduce costs and accelerate growth.


Overall, we believe that AI adoption will continue to expand due to its potential to fuel innovation, increase scale, reduce costs and accelerate growth.


About the authors


Editor-in-chief

Nannette Hechler-Fayd’herbe

Authors


Daniel Rupli 
Reto Hess 
Jens Zimmermann 
Uwe Neumann 
Lorenzo Biasio 
Julie Saussier 
Pedro Iglesias De La Vega 
Samuel Traub


Preface


Michael Strobaek,
Global Chief Investment Officer, Credit Suisse
Nannette Hechler-Fayd’herbe, Head of Global Economics & Research, Credit Suisse
Daniel Rupli, Head of Single Security Research, Credit Suisse

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