Approaching AGI, Part 2: The Shift Is Here

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In Part 1 of this series, we outlined a framework for understanding the approach to artificial general intelligence - not as a single event, but as a gradual transition.

At the time, these were projections.

They are beginning to look like observations.

The Numbers Arrive

In early 2026, tens of thousands of technology jobs have been eliminated globally. A growing portion of these cuts are attributed to AI adoption.

Block reduced its workforce by 40% while growing gross profit by 26%.

This was not framed as a crisis - but as a structural shift.

A smaller team, supported by increasingly capable tools, could do more.

The market rewarded the decision.

The Pattern Repeats

Similar signals are emerging elsewhere.

Large companies across technology, finance, and crypto are openly discussing workforce reductions tied to AI. Amazon's CEO signaled shrinking white-collar headcount as it invests in AI agents. Oracle is reportedly considering cuts of up to 30,000 to fund AI data centers. Crypto.com reduced its workforce citing roles that "do not adapt" as it integrates AI enterprise-wide - the same week it spent $70 million acquiring the AI.com domain.

These are not isolated decisions. They reflect a pattern spreading across industries.

Economic indicators show something unusual:

GDP is growing
corporate earnings are strong
employment is weakening

Productivity and employment may be beginning to decouple.

A Subtle Shift in Assumptions

What makes this moment unusual is not just the decisions being made, but the assumptions behind them.

Companies are not restructuring around systems that have reached their limits. They are restructuring around systems they expect to improve - rapidly, continuously, and in ways that are difficult to fully anticipate.

The implication is subtle but important:

These changes are not responses to a stable technology. They are early adjustments to something still accelerating.

The Entry-Level Collapse

The most immediate impact is at the bottom of the career ladder.

Entry-level roles are declining.

Hiring pathways are narrowing.

Senior workers are being augmented.

Junior roles are being absorbed.

The ladder remains standing.

The bottom rungs are being removed.

The AI-Washing Question

Some argue companies are overstating AI's role - using it to justify cost-cutting they would have pursued regardless.

This may be partly true.

But there is a third possibility: some companies are cutting headcount not because AI has replaced the work, but to free up capital for AI infrastructure investment. The labor savings fund the AI race. The workforce reduction and the AI bet are the same decision.

Whether workers are displaced by AI directly, by the narrative surrounding it, or by capital being redirected toward it - the result is the same.

Roles disappear.

Opportunities narrow.

Careers shift.

The Solo Builder Phenomenon

At the same time, individuals now have unprecedented capability.

One person with judgment, taste, and access to AI tools can now produce what once required an entire department.

But this is not a guaranteed path to success.

The barrier to building has dropped.

The barrier to succeeding has not.

And this shift isn't limited to individuals. The structure of work itself is changing at every level. The old assumption that scale requires headcount is quietly being retired. What replaces it - how organizations themselves are reimagined in an era of abundant intelligence - is a question large enough to deserve its own examination.

Fear Crosses the Threshold

Fear of AI-driven job loss is rising - from 28% of workers in 2024 to 40% in early 2026.

What was once abstract is now specific.

When people can name the company, the number, the role - behavior changes.

Spending shifts.

Risk tolerance drops.

The psychological transition accelerates the economic one.

A Historical Pivot

It is still too early to know whether these developments will be remembered as the beginning of a profound transformation or simply another phase of technological change.

But moments like this - when profitable companies shrink, when entry-level paths narrow, when individuals gain institutional capabilities - often appear ordinary in real time.

Only later do they become visible as inflection points.

What This Moment Reveals

The transition is not hypothetical.

It is underway.

Its effects are uneven:

senior workers are augmented
entry-level workers are excluded
individuals gain capability, not guarantees
organizations contract

The narrative itself is shaping reality.

Institutions are not keeping pace.

Conclusion: A Directional Shift

Transitions do not resolve themselves.

They are navigated - or mishandled.

The macro picture is now visible.

What matters next is the individual - how people position themselves in a world where intelligence is no longer scarce.

That is where this series continues.