2019 Multifamily Innovation Digital Magazine
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Artificial<br />
INTELLIGENCE<br />
AI HAS A LONG WAY TO GO IN MULTIFAMILY DESPITE THE HYPE<br />
BY: MATTHEW OHLMAN, CTO, SHADOW VENTURES<br />
IT’S NO SECRET that technology adoption<br />
in <strong>Multifamily</strong> has historically lagged behind<br />
other industries. Even though multifamily<br />
construction spending has experienced double-digit<br />
growth over the past decade (one of<br />
the highest growth rates across all types of<br />
construction), the industry is still slow to adopt<br />
new technology.<br />
Construction, in general, has a massive labor<br />
and productivity problem on the job site. Millennials<br />
and Gen-Z aren’t interested in manual<br />
labor and are instead drawn to professional<br />
jobs or less labor-heavy sectors. Productivity<br />
(measured as output per worker) for the<br />
Construction sector has remained flat while<br />
other industries, such as Manufacturing, have<br />
increased significantly over the past few years.<br />
But in <strong>Multifamily</strong>, design and construction<br />
problems are only the beginning. After delivery,<br />
properties have an unprecedented amount<br />
of competition and have to deal with sky-high<br />
expectations from younger renters. The challenges<br />
across the building lifecycle are cutting<br />
into margins and making workers busier than<br />
ever.<br />
cases for Artificial Intelligence. As a seedstage<br />
investor in Real Estate and Construction<br />
Tech startups, I get a unique first look at the<br />
technology innovation happening to solve<br />
these problems (and more) in the industry.<br />
Many startups are indeed claiming to use<br />
Artificial Intelligence – so many that it seems<br />
to be an unwritten rule that every startup pitch<br />
deck must now mention Artificial Intelligence,<br />
Machine Learning, or other related buzz-words.<br />
But while it may seem like Artificial Intelligence<br />
is a recent trend, it is in fact not new and has<br />
been heavily researched for decades.<br />
In 1950, Alan Turing wrote a now-famous paper<br />
describing what has since been named The<br />
Turing Test – still the standard today to judge<br />
if a machine can exhibit human-like thought.<br />
Yet in the 69 years since Turing published his<br />
paper, no computer has been able to pass the<br />
Turing Test.<br />
These problems sound like the perfect use<br />
Alan Mathison Turing was an English mathematician,<br />
computer scientist, logician, cryptanalyst,<br />
philosopher and theoretical biologist.<br />
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