Lecture 46: The Next 100 Years
Yet blocking rising consumption can only lock in existing inequalities and
create new conÀ icts. And, as the U.S. learned in September 2001, modern
weaponry allows even small groups to inÀ ict terrible damage. Can global
consumption slow in a capitalist world? Does not the logic of consumer
capitalism require endless growth throughout the world?
There are also more hopeful trends. Global population growth is slowing as
a result of the “demographic transition.” As the proportion of peasants has
declined and living standards have risen, fertility rates have fallen throughout
the world. By the 1980s, fertility levels had fallen to the “replacement level”
of 2.1 children per woman in most developed industrialized countries. But
rates of population growth are also falling in poorer countries. In the 1960s,
global growth rates were over 2% per annum.
By 2005 they had fallen to under 1.2% per
annum, according to the U.S. Census Bureau.
These trends suggest that by the middle of
this century, global population may level out
at 8 or 9 billion people, rather than the 12–16
billion many had predicted in the 1980s.
Since the 1960s, ecological awareness has
increased. Most governments have agencies
concerned with environmental issues,
there are many nongovernmental agencies
concerned with environmental issues, and
there have been two international environmental summits, in Rio in 1992 and
in Johannesburg in 2002. There have also been some notable successes, such
as the 1988 international agreement to reduce production of CFCs because
they damage the ozone layer. Despite the existence of nuclear weapons since
1945, we have avoided a global nuclear war.
Capitalism may turn out to be part of the solution as well as part of the
problem. Recent centuries have shown capitalism’s astonishing capacity
to adapt to change and generate social and technological solutions to
new problems. Capitalism is particularly good at reacting to scarcities by
The collective brain
of modern humanity,
magni¿ ed by billions of
networked computers,
is the most powerful
problem-solving entity
we know of.