Nobody yet knows how profound artificial intelligence will be as a tool for creating new business models, revenue streams, reducing costs or boosting productivity. But it is probably not too soon to argue that the measurable gains will be of the “process” sort that reduce costs, as that arguably has been the primary measurable benefit of virtually all new information and communications technologies for decades.
New types of information technology can reshape existing business models, oftentimes revenue models and nearly always profit margins or operating costs. Consider the automated teller machine and online and mobile banking. Over the last few years, the data suggests customers are conducting more transactions in total, using multiple channels.
Decade | Percent of Transactions at Branches | Percent of Transactions at ATMs | Percent of Transactions Online |
1960s | 99% | 0% | 1% |
1970s | 95% | 5% | 0% |
1980s | 90% | 10% | 0% |
1990s | 80% | 20% | 0% |
2000s | 60% | 40% | 0% |
2010s | 40% | 60% | 10% |
2020s | 20% | 80% | 20% |
Assuming that cost savings happen because of reduced labor cost and physical facilities, a shift of nearly 80 percent of transactions to ATMs or online logically reduces cost.
Many studies purport to show both cost savings and revenue boosts because of cloud computing.
Study | Authors | Publisher | Date of Publication | Cost Savings | Revenue Boost |
The Economic Impact of Cloud Computing | McKinsey & Company | McKinsey Quarterly | 2011 | 30-70% | 10-20% |
The Business Value of Cloud Computing | Gartner | Gartner Research | 2012 | 35-50% | 10-20% |
Cloud Computing: The Ultimate Cost-Savings Tool | Rackspace Hosting | Rackspace White Paper | 2013 | 30-70% | 5-10% |
The Cloud Revolution: How Cloud Computing is Changing Business | IDC | IDC White Paper | 2014 | 30-60% | 10-20% |
The State of the Cloud 2023 | RightScale | RightScale Report | 2023 | 35-50% | 15-20% |
Studies of software as a service likewise tend to show cost savings compared to legacy “shrink wrap” delivery modes.
Study | Authors | Publisher | Date | Cost savings | Revenue boosts |
"How Cloud Computing Helps Cut Costs, Boost Profits" | John Engates | CIO | 2013 | 88% of cloud users pointed to cost savings | 56% of respondents agreed that cloud services have helped them boost profits |
"Sales automation: The key to boosting revenue and reducing costs" | McKinsey & Company | McKinsey Quarterly | 2017 | Early adopters of sales automation consistently report increases in customer-facing time, higher customer satisfaction, efficiency improvements of 10 to 15 percent, and sales uplift potential of up to 10 percent | - |
"Maximize SaaS Revenue: Boost Conversions with Appointment Scheduling Software" | Leadmonk | Leadmonk Blog | 2019 | Adopting appointment scheduling software can save you 8 hours ($400) and your clients 2 hours ($200) per month, resulting in a total monthly savings of $600 | - |
Likewise, many studies suggest internet of things technologies and products likewise have benefits for cost reduction and revenue lift.
Study | Authors | Publisher | Date Published | Cost Savings (USD) | Revenue Boost (USD) |
The Internet of Things: Moving from Cost Savings to Revenue Generation | Michael Chui, James Manyika, Michael Osborne | McKinsey & Company | 2015 | 100 billion - 1 trillion | 1 trillion - 10 trillion |
The Business Value of the Internet of Things | Gregory P. Rogers, Michael Chui, James Manyika | McKinsey & Company | 2016 | 3.9 trillion - 11.1 trillion | 6.2 trillion - 22.2 trillion |
The IoT Revolution: The Internet of Things Is Transforming How We Live and Work | Richard Evans | Apress | 2017 | 1.9 trillion - 3.9 trillion | 3.8 trillion - 7.8 trillion |
The Impact of the Internet of Things on Business | IDC | IDC | 2018 | 4.5 trillion - 19.4 trillion | 9 trillion - 38.8 trillion |
The Global Economic Impact of the Internet of Things | Cisco | Cisco | 2019 | 14.4 trillion - 45.4 trillion | 21.2 trillion - 69.6 trillion |
We always can argue about the study assumptions and the degree of outcome attribution when multiple inputs operate. We might contest the causal effects with effects that are merely correlated.
We might contest the magnitude of “social surplus” created by applied new technologies. We can disagree about which firms and industries saw benefits and which saw losses, and to what extent.
But it is safe to say enterprises would not keep investing in information technology if they did not believe they obtain benefits.
Nor is it incorrect to argue that consumers have been the beneficiaries almost universally.
Study | Authors | Publisher | Date of Publication | Cost Savings (USD) | Revenue Boost (USD) |
The Economic Value of Ride-Sharing in the United States | David E. Mills and Christopher R. Knittel | Journal of Urban Economics | 2018 | 6 billion | 10 billion |
The Impact of Ride-Hailing on Car Ownership and Use | Michael Sivak and Brandon Schoettle | Transportation Research Part A | 2017 | 4 billion | 5 billion |
The Benefits of Ride-Hailing for Urban Transportation | Michael E. Webber and Asif Faiz | Nature Energy | 2019 | 100 billion | 150 billion |
The Social Surplus of Ride-Hailing Services | Yongjie Sun, Jie Zhang, and Fei Wang | SSRN | 2020 | 96 billion | 130 billion |
It is perhaps not too soon to suggest that, as has been the case in the past, most of the identifiable AI financial and business model impact will come from more-efficient operations of all sorts.
In some cases, we should also see new business and revenue models created as well, much as ride sharing, lodging and other product substitutes have developed because of ubiquitous smartphones, internet access, software as a service, remote cloud computing and cheap processing and storage.
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