Marketing in the age of Human Obsolescence
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As Artificial Intelligence and Robotics (AIR) encroach on traditionally
human work, the discussion has centered on the fear of job loss. The
conversation needs to move beyond fear and towards harnessing these technologies
without compromising on what it means to be human. This article questions the
assumption of human obsolescence and offers views on the possibilities for
Marketing in the age of AIR.
A recent McKinsey paper suggests that AIR is likely to have the greatest impact on activities
that involve predictable physical work, on data gathering and on data
processing. According to this paper, the five industries that will be significantly
impacted by AIR are Manufacturing, Food
Services, Healthcare, Retail and the Finance and Insurance industries.
Industries have thus far delivered value by improving
productivity to maintain affordable prices. This has sacrificed customer choice
by confining real customization to the point of sale and beyond. As robots
increasingly take on predictable labor, it is time to ask if one could extract
the human (unpredictable) work from the central production hive and place it at
the point of sale to offer customized products that deliver better value to customers.
Similarly, as raw computing power takes over
data gathering and processing, humans could be used to sharpen the analytics
with context and with better questions. With this background, let’s re-examine the five industries from a Marketer’s
perspective.
Manufacturing has
evolved by improving productivity and lowering costs. But, this has gradually
drained the uniqueness from most industrial products, nudging them towards commoditization.
Could industries enhance value by engaging customers at the point of sale to
deliver a unique product, customized with
human skills? This could mean the
emergence of human skill-oriented teams that
work closely with sales teams at all points of sale. Chatbots and human
salespersons could elicit customer preferences which would be acted on by the human skill teams to deliver exactly what the
customer wants. Could this deliver customized products, at reasonable prices?
For instance, consumers might order appliances
in custom dimensions and finishes at reasonable prices. Customization that is
relevant to the customer could generate more satisfaction and greater brand
loyalty. Who needs a perpetual sale!
Food Service has
its own version of centralized production at scale with minimal customization
at the point of sale/service. The predictability
of the process seeps into the taste of the food, making it undifferentiated and
often uninteresting. Customers have been voting against this sameness by
seeking out ‘fresh’ options. Further,
there is a concentration of outlets in population
centers, due to transient labor and urban concentration of customers. The availability
of AIR in Food Service will reduce human staffing requirements per location but
that will allow much more geographically
distributed locations. It could enable smaller outlets running regular hours
with a mix of humans and AIR and after hours with just AIR. Humans in this
revised setup would add personalized service
and more customization in food offerings. Consider baristas and their
contributions to personalized coffee. Satisfied customers pay a premium for
customized coffee, would they not pay more for customized meals?
Healthcare has struggled with cost
containment and data management limitations in improving patient health
outcomes. Despite the improved efficacy, there are gaps in the patient experience
especially in service availability and the information gaps that keep patients
and often medical practitioners in the dark about all treatment options. Moreover, there are discrepancies in the quality
of care due to an urban concentration of
skills. Application of AI will improve data gathering and management, helping to reduce errors, unnecessary
procedures, and billing snafus. It might even free up medical professionals in
rural areas, allowing them to focus on patient
care. This will improve patient interactions in urban areas and better
utilize skilled healthcare workers especially
in rural areas. It will also make smaller hospitals more viable, facilitating
health services far from urban centers. The
use of chatbots in healthcare could make
a big difference in responding to patient questions and in informing doctors
and nurses of the best treatment options. From a marketer’s perspective, the payoff could come from changing
negative perceptions that keep patients from procrastinating on preventative care. This could increase usage while
actually lowering costs and might improve results and ultimately customer satisfaction.
Retail is the
customer facing service end of manufacturing. It should, therefore, be extremely service-oriented. However, retail has gone astray, de-emphasizing
customer service and driving its customers to online competitors. While the predictable
work of stocking/re-stocking shelves might
be delegated to robots, stores should seize the opportunity to enhance service
through a dynamic collaboration between humans and AI and in some cases,
unpredictable human work to deliver better value. Currently, physical stores are typically understaffed and often confusing
to navigate. What they could really use are humans aided by chatbots to anticipate, understand and better serve
the customer’s needs. What also needs to
be done is to bring in a greater level of customization into the retail store.
For instance, off-the-rack clothing rarely flatters the wearer in terms of fit.
Perhaps we could have in-store fitting services that give customers exactly
what they want and encourage prolonged shopping.
Finance and Insurance
are data-centric and likely to be dominated by AI at the back end. However, they could use real human skills to provide
context and to identify products that better meet the customer's needs. AI tools along
with skilled money management professionals could deliver products that more
closely meet customer needs without expensive service fees. Similarly, AI could facilitate the creation of
products/services based on smaller data pools. Rather than slotting customer’s
into existing ill-fitting products, we could create products that fit each
customer. This points to more geographically dispersed service providers offering
better and cheaper services.
My analysis started with an acknowledgment
of the compromises forced upon customers in return for lower prices. That could
change with the introduction of AIR allowing smaller but more geographically
distributed operations, customized products without price premiums and more customer-centric retail operations. The
use of AI and related tools (chatbots) could enhance understanding of customers
at an individual level and usher smaller data pools allowing engagement of individual
customers. All of this could lead to
more satisfying consumer experiences, better profits and stronger customer loyalty towards manufacturers and
retailers. Just free up Marketers to enlist human skills that can deliver
custom experiences that are relevant to the paying customer.