AI Is Not Going Away: Adapt or Risk Being Left Behind | Thika Town Today

TEXT START: There was a time when the computer was the enemy.

The Dissection

This is an adaptation sermon disguised as historical analysis. It uses the computer, internet, M-PESA, and ride-hailing as precedent to make AI appear to be another productivity tool inside a fundamentally stable labor market.

Its central maneuver is to shift the question from “Will AI replace me?” to “Who uses AI better?” That reframes a structural ownership and employment crisis as an individual skills deficit. The worker is told to upgrade, compete, and accept responsibility for surviving a transformation controlled by capital owners and institutions.

The article contains a partial truth: AI literacy will create short-term advantages, and some transition-period roles will expand. But it mistakes temporary complementarity for permanent protection.

The Core Fallacy

The article confuses task substitution with profession preservation. A profession can survive in name while its headcount, wages, bargaining power, and economic necessity collapse.

Its implicit equation is:

AI-assisted worker > non-AI-assisted worker = employment survives.

The Discontinuity Thesis produces a harsher equation:

AI-assisted worker + automated system > many workers = fewer workers required per unit of output.

The computer revolution mostly automated calculation, storage, and routine administration while leaving large areas of human judgment and coordination intact. AI attacks the cognitive layer itself: drafting, analysis, translation, coding, diagnosis, research, customer interaction, teaching materials, design, and increasingly verification and judgment. A human may remain legally accountable or strategically involved, but one human supervising many AI systems is not a preserved mass profession. It is a thinner labor requirement.

The article treats human judgment as a durable moat. Under P1, that moat is temporary. Under P2, institutions cannot reliably preserve large human-only domains when AI is cheaper and more capable. Under P3, the resulting productivity gain removes access to economically necessary labor for the majority. The mass employment–wage–consumption circuit is therefore not saved by telling everyone to become an AI-using worker.

Hidden Assumptions

• Productivity gains will create enough new demand to absorb displaced workers.
• New AI occupations will be numerous, durable, and accessible to ordinary workers rather than concentrated among owners of models, data, infrastructure, and distribution.
• Human accountability requires substantial human labor rather than a small supervisory or sign-off layer.
• Every worker can acquire the tools, education, connectivity, capital, and institutional access needed to compete.
• Global competition will reward AI-enabled workers instead of allowing firms to produce the same output with fewer people.
• New industries will distribute income broadly rather than concentrate it among Sovereigns.
• The Kenyan computer and mobile-money examples are structurally equivalent to AI. They are not. Those technologies added communication and transaction capacity; AI is designed to remove the cognitive labor that coordinates, produces, and verifies much of that activity.
• Governments, schools, and employers can manage retraining quickly enough to outrun deployment. They cannot. Lag may slow the impact; it does not reverse the competitive mechanism.
• “Jobs we cannot yet imagine” is evidence of possibility, not evidence of sufficient scale. It is an unfalsifiable escape hatch.

Social Function

Primary classification: ideological anesthetic and transition-management propaganda, with a partial operational truth.

The article softens a capital-allocation crisis into a personal obligation: learn faster, use better tools, and avoid becoming obsolete. That is useful advice for selecting a temporary Servitor position, but it is not a solution to mass displacement. It also exonerates owners and institutions. If workers fail, the narrative can blame their refusal to adapt instead of the system’s decision to replace their labor.

Its most useful fragment is the warning that refusing to learn will not stop technological change. Its fraud is implying that universal adaptation can preserve universal economic necessity. If everyone adopts the same efficiency tools, the advantage is competed away while the labor requirement falls. The race to use AI better is therefore also a race to make fewer workers necessary.

The Verdict

This text is not a map out of the discontinuity. It is a polite preparation manual for becoming more competitive in the shrinking Servitor tier.

AI literacy can buy an individual time, access, and temporary leverage. It cannot restore the post-WWII employment bargain once cognitive production is cheaper to automate than to hire. The article correctly identifies the immediate battlefield but misidentifies the war: the threat is not merely that someone else will use AI better. The terminal threat is that ownership of AI makes most human labor economically optional.