ackground:
The
swift
assimilation
of
Artificial
Intelligence
(AI)
across
multiple
industries
is
altering
the
worldwide
economic
terrain.
Unprecedented
opportunities
and
difficulties
are
brought
about
by
this
revolutionary
technology,
which
has
an
impact
on
innovation,
trade,
labor
markets,
security.
Objective:
goal
study
to
thoroughly
investigate
effects
AI
exploring
how
it
may
affect
trade
internationally,
offer
insights
that
support
strategic
decision-making
policy
formation
examining
current
trends,
opportunities,
difficulties.
Results:
research
highlights
dual
character
artificial
intelligence's
influence,
highlighting
both
its
potential
spur
expansion
drawbacks,
including
loss
jobs,
a
lack
standards,
security
issues.
crucial
cooperation
overcoming
these
obstacles
realizing
AI's
full
potential.
Conclusion:
balancing
risks
becomes
critical
as
continues
change
landscape.
report
promotes
proactive
steps
ethical
design
guidelines,
ongoing
worker
retraining,
flexible
regulatory
strategies.
As
we
shape
future
puts
inclusion,
creativity,
responsible
governance
first,
collaboration
emerges
key
theme.
SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
We
explore
the
implications
of
demographic
trends
for
evolution
real
interest
rates
across
countries
and
over
time.
To
that
end,
we
develop
a
tractable
three-country
general
equilibrium
model
with
imperfect
capital
mobility
country-specific
trends.
calibrate
to
study
how
low-frequency
movements
in
country's
rate
depend
on
its
own
other
countries'
factors,
given
certain
degree
financial
integration.
The
more
financially
integrated
country
is,
higher
sensitivity
global
developments
less
determinants
matter.
then
estimate
panel
error-correction
models
relating
many
possible
determinants---demographics
included---imposing
some
restrictions
motivated
by
lessons
from
our
structural
model.
Results
corroborate
importance
accounting
time-varying
integration,
show
factors
life
expectancy
are
relevant
rates.
Journal of Science Policy & Governance,
Journal Year:
2023,
Volume and Issue:
22(03)
Published: Sept. 10, 2023
Recent
developments
in
Artificial
Intelligence
(AI)
pose
a
complex
challenge
for
policymakers,
who
are
tasked
with
regulating
technology
which
is
poorly
understood,
highly
multi-use,
of
potentially
enormous
economic
impact,
and
becomes
more
powerful
at
an
extraordinary
rate.
In
response
to
this
challenge,
policy
position
paper
outlines
two
recommended
actions
national
governments
monitor
the
AI
supply
chain:
(1)
Invest
infrastructure
monitoring
chain,
(2)
establish
key
standards.
This
will
allow
policymakers
prepare
current
technological
challenges,
as
well
have
unforeseen
ones.
Importantly,
these
recommendations
directly
informed
by
technical
research
frontiers
forecasting,
help
make
decisions
that
robust
future
changes.
SSRN Electronic Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
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DOI
This
paper
examines
the
evolving
structure
and
competition
dynamics
of
rapidly
growing
market
for
foundation
models,
focusing
on
large
language
models
(LLMs).
We
describe
technological
characteristics
that
shape
industry
have
given
rise
to
fierce
among
leading
players.
The
analyzes
cost
emphasizing
importance
key
inputs
such
as
computational
resources,
data,
talent,
identifies
significant
economies
scale
scope
may
create
a
tendency
towards
greater
concentration
in
future.
explore
two
concerns
competition,
risk
tipping
implications
vertical
integration,
use
our
analysis
inform
policy
remedies
maintain
competitive
landscape.
WSB Journal of Business and Finance,
Journal Year:
2024,
Volume and Issue:
58(1), P. 198 - 216
Published: Jan. 1, 2024
Abstract
This
research
investigates
the
impact
of
artificial
intelligence
on
economic
growth,
focusing
how
AI-related
activities
such
as
scholarly
publications,
patent
filings,
and
national
AI
strategies
influence
GDP
across
different
contexts.
The
study
utilizes
a
comprehensive
dataset
from
2010
to
2023,
covering
141
countries,
employs
SGMM
analyze
impacts
AI.
Additionally,
incorporates
Random
Forest
algorithm
assess
importance
various
features,
providing
nuanced
understanding
which
aspects
are
most
predictive
outcomes.
dual-methodology
approach
allows
for
robust
analysis
by
addressing
potential
endogeneities
with
validating
feature
significance
Forest.
ensures
thorough
examination
AI’s
contributions
growth.
confirms
that
innovations
significantly
boost
output,
particularly
in
countries
advanced
infrastructure.
Complementing
this,
highlights
patents
per
million
crucial
predicting
These
features
key
drivers,
indicating
dense
innovation
environments
strategic
planning
essential
maximizing
benefits.
suggests
leverage
full
potential,
policymakers
business
leaders
should
develop
foster
conducive
integration.
contributes
unique
insights
into
quantitative
effects
highlighting
role
policies
infrastructure
enhancing
impact.
It
offers
driver
sustainable
development.
New Zealand Economic Papers,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 7
Published: Dec. 16, 2024
This
paper
explores
how
Artificial
Intelligence
(AI)
is
poised
to
reshape
economic
development
in
developing
countries.
It
examines
AI's
potential
enhance
productivity,
optimize
resource
allocation,
and
improve
access
critical
services
like
healthcare
education.
Despite
these
opportunities,
challenges
such
as
technological
infrastructure
gaps
job
displacement
are
significant.
The
emphasizes
the
need
for
tailored
policy
frameworks
harness
benefits
while
mitigating
risks
of
widening
inequalities
or
AI-poverty
traps.
By
analyzing
current
trends
projections,
aims
provide
insights
into
navigating
AI
adoption
economies,
promoting
sustainable
growth
inclusive
a
rapidly
evolving
global
landscape.