SignalLock.ai
A monthly signal report

The unsolved gaps in the AI industrial revolution.

Every month SignalLock finds the open gaps in the AI boom: real problems no one has solved yet. It locks each one with a date, then tracks who tries to fix it. The longer a gap stays open, the bigger the opportunity.

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This Month's Signals

July 2026

The unsolved gaps in the AI industrial revolution, ranked by strength. A strong signal means many people see the gap, but few have fixed it. Those are the best openings.

  1. 1

    Distillation defense

    A model leaks its skill the moment it is served, and there is no defense.

    1.0
    Window opening
  2. 2

    A brake on self-improving AI

    AI is speeding up its own progress, with no trusted way to pause it.

    1.0
    Window opening
  3. 3

    Evals you can trust

    Benchmarks are gamed and leaked, so a high score proves little.

    0.8
    Window opening
  4. 4

    Long-horizon reliability

    Agents lose the thread on long work, and cannot remember across sessions.

    0.8
    Window opening
  5. 5

    Measuring AI's value

    We can count what AI costs, not what it makes.

    0.8
    Window opening
  6. 6

    The dissolving interface

    Agents build the screen, and nothing captures intent or permissions.

    0.8
    Window open
  7. 7

    The maintenance load

    Software is cheap to build but expensive to keep alive.

    0.8
    Window open
  8. 8

    Code provenance

    No trusted record of where code came from.

    0.7
    Window open
  9. 9

    Cost discipline

    Agents burn tokens fast, and the spend isn't linked to results.

    0.7
    Window open
  10. 10

    The power ceiling

    Compute runs out of power and memory before it runs out of chips.

    0.6
    Window open
  11. 11

    Agent accountability

    Agents act on their own, and no one can say who authorized it.

    0.6
    Window closing
  12. 12

    Patch tempo

    A bug is exploited the day it's disclosed.

    0.6
    Window closing
  13. 13

    Sovereignty by design

    No way to prove where data lived or where the AI ran.

    0.6
    Window closing
  14. 14

    Interop & portability

    Models are swappable, but switching still means a rewrite.

    0.5
    Window closing
  15. 15

    Answer trust

    Newer models score higher but make up more answers.

    0.4
    Window closing

Read the July 2026 edition →

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