TECHNOLOGY AT WORK
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30<br />
Citi GPS: Global Perspectives & Solutions February 2015<br />
Software: The Mechanism to Automate<br />
Walter Pritchard<br />
US Software Analyst<br />
Within IT, there is ironically a high degree of manual processes that are being<br />
replaced through automation with software. Estimates we’ve seen suggest labour is<br />
between 25-50% of IT spending, depending on industry, maturity of company and<br />
other factors. As mentioned above, to some degree automation is helping<br />
companies grow incremental capacity in data centres and networks and support for<br />
more devices without adding IT headcount. We see this with the move towards the<br />
“software defined” infrastructure. A decade ago, nearly all devices and infrastructure<br />
elements were manually configured. One way to look at this is the server-tosystems<br />
administrator ratio in data centres. Servers require certain maintenance<br />
and other tasks to be done, with some human intervention required to do these.<br />
While not all servers and environments are created equally and the definition of<br />
what an administrator does is not consistent, the trend on this ratio has continued to<br />
increase. Ten years ago, less than 10:1 was common with x86 (Intel) servers. Today<br />
this number is in the 50:1 ratio with many IT shops, while some push 100:1 with<br />
high degrees of automation. There have been some press reports suggesting that in<br />
web scale environments, with a high degree of server homogeneity and automation,<br />
this ratio can be above 1,000:1. There are analogous comparisons around other<br />
devices (e.g. storage and network devices) and processes (e.g. level 1 IT support)<br />
within IT that can have the impact of pressuring lower skill IT jobs. We note this is<br />
unlikely to have an impact on high-skill IT jobs such as software development,<br />
where automation is in the early stages or non-existent.<br />
Another area where low-skill customer-facing jobs are facing pressure is customer<br />
service automation technologies which drive efficiencies by enabling companies to<br />
scale operations without support personnel or outright cut headcount. Examples of<br />
these include Internet-based chat support, user self-support, diagnostic technology<br />
and modern call centre software.<br />
Digitisation and the Services Industry<br />
Ashwin Shirvaikar, CFA<br />
US Computer Services & IT Consulting<br />
Analyst<br />
Technology has both helped and hurt the<br />
Services industry<br />
We believe low- and mid-level jobs in the<br />
Services sector that involve repetition are at<br />
the highest risk of being lost<br />
People and their talent form the basis of the Services industry (both IT and<br />
Business Process Outsourcing). Traditional industry contract structures have<br />
dictated that most Services work is done and billed for on a per-person, per-unit-oftime<br />
basis. The billing rate generally depends on the complexity of work, the<br />
location of the worker, the expertise of the worker and the supply/demand dynamics<br />
of the specific labour classification.<br />
Against this backdrop, automation has long been a factor that has helped as well as<br />
hurt growth in the Services industry. Services companies, in their role as technology<br />
and process experts, clearly bring productivity benefits to their clients – this is a<br />
crucial selling point for their services and has been an important driver of growth. Of<br />
course, when Services companies use automation, a portion of the productivity gain<br />
is passed onto the client, which creates a headwind of growth to the industry. A<br />
second headwind is the deployment of automation directly by the client, which<br />
reduces the Services industry’s total addressable market. Often, such direct client<br />
deployment is due to the availability of software or online/mobile web/app-based<br />
solutions. In other words, other parts of the technology industry stack impinge on<br />
the Services opportunity.<br />
Given continuing developments in the area of automation, software is increasingly<br />
capable of performing tasks that humans have historically done. When applied to<br />
the workforce, we believe that low- and mid-level jobs in the Services sector that<br />
involve repetition (e.g. data entry, legal discovery work done by paralegals; journal<br />
entries done by accountants) are at the most risk of being lost. This is obviously<br />
© 2015 Citigroup