A long economic winter
The flurries that began with the 2018 tariff spiral have
hardened into a genuine economic ice age. The echo of the
1930 Smoot–Hawley Act—ten years of depression
followed by six years of war—has lengthened, as
renewed tariff escalation collides with record leverage,
speculative excess, and an inverted demographic pyramid.
Even the fifteen-year recovery that followed
Smoot–Hawley may prove optimistic; the present
contraction plausibly extends across decades.
Strategy under constraint
As argued in
Genesis—Chapter 8: Strategy, the appropriate
response is not radical self-editing but disciplined
co-evolution. The priority is to strengthen core systems
rather than endlessly reshuffling teams, while preserving
a baseline of human dignity and agency as the boundary
between person and program blurs. The mandate is
necessarily balanced: augment human capability enough to
remain competitive, yet constrain machine power within a
moral and operational frame. This balance cannot be fixed
in advance; it requires a continuously revised
understanding of what must remain human as code evolves.
The Net Terminal Gene
The central risk is not a dramatic machine revolt but quiet
deskilling. When societies become fluent in outputs yet
illiterate in mechanisms, tacit knowledge erodes and
systemic failures go unseen until they are catastrophic.
The allegory of the Net Terminal Gene captures this danger:
relinquishing the capacity to directly understand,
intervene in, and reconstitute infrastructure.
Co-evolution with machines remains viable only while human
agency retains sufficient depth to supervise, override,
and redesign automated systems. Manual oversight,
therefore, is not nostalgia but necessity.
Puppet mastery
What persists in the cold is curiosity—the refusal to
stop asking “What if?”—and creativity, the
recombination of ideas beyond any predefined routine.
Alongside these stands puppet mastery, understood not as
manipulation but as technical stewardship. In the present
era, a single engineer coordinating multiple AI and robotic
agents through deep code literacy is no longer exceptional
but natural. Such coordination may be read metaphorically
as a transformation of human time and space complexity:
not in the formal sense of computation theory, but in
practical effect, where the cognitive and operational
reach of one engineer expands dramatically.
Harnessing Brooks’s Mythical Man-Month
Under such conditions, the lesson of
The Mythical Man-Month becomes not merely relevant
but structurally attainable. When a single engineer retains
the Net Terminal Gene—the capacity for direct
system-level understanding—and exercises puppet
mastery over multiple AI agents, the classic constraints
identified by Brooks are partially dissolved. Productivity
still does not scale linearly with headcount; instead, it
scales with architectural clarity and disciplined
coordination. By conducting many agents as a unified
system, individual effort is compressed, parallelized, and
amplified, reducing coordination overhead to a
human-manageable scale. In this configuration, the limiting
factor shifts decisively away from manpower toward
understanding, making outcomes once reserved for entire
teams achievable under the stewardship of a single,
system-literate engineer.
Grace in the machine
“A man can receive nothing except it be given him
from heaven” (John 3:27). Seen in this light,
artificial intelligence appears less as a rival than as a
provision. Perhaps AI itself is such a gift, multiplying
the loaves of curiosity and the fishes of creativity. The
gift, however, is not the machine itself, but the
opportunity it affords: to act with greater coherence, to
think with greater reach, and to realize long-held designs
through disciplined stewardship. When deliberately
oriented toward this end, such software becomes a means of
return rather than accumulation—an instrument through
which human agency may be extended to love, to restore, and
to contribute, however modestly, to the good of humanity
even through a long winter.