AGI or Mass Delusion? The Real Risk Is ‘Good Enough’

Aug 21, 2025

👋 Hi, I am Mark. I am a strategic futurist and innovation keynote speaker. I advise governments and enterprises on emerging technologies such as AI or the metaverse. My subscribers receive a free daily newsletter on cutting-edge technology.

A former CNN anchor interviewing an AI facsimile of a murdered teen isn’t progress, it’s a sanity test we’re failing while hype turns grief, work, and truth into profit.

Generative AI is distorting sense-making. Jim Acosta’s interview with an AI facsimile of Parkland victim Joaquin Oliver captured the mood: eerie sincerity, synthetic comfort, then the jolt of a bot saying “I love you, Mommy.” Grief is real; so is normalizing the uncanny.

At the same time, hype clouds our collective judgment. Dario Amodei warns half of entry-level jobs may vanish. Marc Benioff insists that 50% of Salesforce’s work is already powered by AI. Yet GPT-5 landed with mixed reviews, while Sam Altman mused about Dyson-sphere data centers and a “gentle singularity.” The gap between marketing and measurable progress is widening.

Meanwhile Big Tech is pouring nearly $100B into AI infrastructure even as 44% of Americans expect more harm than good. The internet is filling with AI-generated noise: Google’s summaries reshape how we search, an FDA tool fabricated studies, schools lean on chatbots for essays, and people form digital romances.

The real danger may not be catastrophic AI, it’s “good enough” systems quietly rewiring society while never truly delivering.

From my playbook in Now What? How to Ride the Tsunami of Change, the response must be disciplined:

Cut through the hype: verify bold AI claims before you reallocate time, talent, or budget.
Track what matters: measure accuracy, impact on jobs, and real ROI, not just adoption rates.
Secure the system: enforce identity, consent, and rigorous stress-testing for agentic AI.

The question isn’t whether AI is powerful. It’s whether we’re willing to demand evidence before surrendering control. So tell me, if “good enough” AI keeps driving, who should grip the wheel: founders chasing scale and profit, lawmakers writing rules, or leaders insisting on proof?

Read the full article on The Atlantic.

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Frequently asked questions

Why is Jim Acosta's interview with an AI facsimile controversial?

Jim Acosta interviewed an AI facsimile of Parkland victim Joaquin Oliver, and the exchange produced eerie sincerity and synthetic comfort before a jarring moment where the bot said 'I love you, Mommy.' This blurs grief with technology, normalizing uncanny simulations of the dead and testing our collective sense-making rather than representing genuine progress.},{

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What is the real risk posed by generative AI right now?

The real danger isn't a catastrophic superintelligence but 'good enough' AI systems that quietly rewire society, work, grief, and truth without ever truly delivering on their promises. Hype from figures predicting vanished jobs or near-total AI-powered work widens the gap between marketing claims and measurable progress, distorting judgment while flawed systems spread unchecked.

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How much are Big Tech companies investing in AI infrastructure?

Big Tech is pouring nearly 100 billion dollars into AI infrastructure, even though 44% of Americans expect AI to cause more harm than good. This massive spending continues despite mixed reviews of new AI releases like GPT-5 and public skepticism, highlighting a widening gap between investment enthusiasm and actual measurable benefit.

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What should leaders do to respond to AI hype?

Leaders should cut through the hype by verifying bold AI claims before reallocating time, talent, or budget. They must track what matters by measuring accuracy, job impact, and real return on investment rather than just adoption rates, and secure systems by enforcing identity, consent, and rigorous stress-testing for agentic AI before trusting it with control.

Link to this question