Blackstone’s Gray: Power Is The New Plastics For AI

Blackstone’s Jon Gray redefines career advice for the AI era, declaring “power is the new plastics.” This shifts focus to critical infrastructure and skilled trades, while signaling rapid job transformation for some white-collar sectors.

In an era awash with technological marvels and existential anxieties, few moments crystalize the shifting sands of our economic future quite like a subtle tweak to a cinematic classic.

When Jon Gray, the influential President and COO of financial behemoth Blackstone, addressed his firm’s investors last week, he wasn’t just talking numbers; he was delivering a poignant, albeit stark, forecast for the AI economy, updating a timeless piece of career advice for the 21st century.

Gray’s re-imagining of “The Graduate’s” iconic scene, where Dustin Hoffman’s character is advised on his future, swapped the original “plastics” for “power.”

It was more than a clever rhetorical flourish; it was a potent prognostication for the electricity-hungry engine of artificial intelligence.

Power, Gray declared, is the new plastics – the foundational commodity upon which this burgeoning technological revolution will be built.

This seemingly minor edit serves as a powerful metaphor for the profound reordering of industries and workforces that Gray believes is already underway, and which Blackstone is strategically navigating.

Gray, a seasoned observer of market tides, cast the AI revolution alongside the Industrial Age and the dot-com boom, yet with a crucial distinction: its velocity.

ChatGPT, he noted, achieved 700 million consumers faster than any product in history, a testament to the unprecedented speed with which AI is permeating society.

This rapid acceleration, Gray posited, means the economic reshuffling will be swifter, more impactful, and perhaps, more disorienting than its predecessors.

The question for businesses and individuals alike is not if change is coming, but how fast it will arrive and who will be left standing.

Blackstone, rather than chasing the dazzling, often volatile, front-end of generative AI, has opted for a more grounded, arguably more resilient, “picks and shovels” strategy.

Their focus is on the indispensable infrastructure that fuels the AI beast: data centers, energy grids, and the skilled labor required to build and maintain them.

Gray’s advice to young college graduates is unequivocal: “power is the way to go.”

This translates into a burgeoning demand for the unglamorous but utterly indispensable roles of electricians, plumbers, and skilled tradespeople.

These professions, often overlooked in the tech-centric narrative, are suddenly the bedrock of this new economy, experiencing massive labor shortfalls even as AI advances.

The staggering growth of Blackstone’s QTS data center platform, soaring from $10 billion to $70 billion since 2021, underscores the voracious appetite for digital real estate and the people who staff it.

Here, traditional skills meet cutting-edge demand, creating a surprising cohort of winners.

But for every winner, a shadow falls.

Gray’s presentation, drawing from a recent Stanford study, painted a stark picture for early-career white-collar professionals.

Software developers, once the undisputed darlings of the digital age, are now finding their entry-level ranks vulnerable to the Claude code effect – AI’s burgeoning ability to write and debug code.

The study indicated a noticeable lag in hiring for 22-25 year olds in these roles, a trend that began in late 2022.

Similarly, customer service agents face an imminent threat as AI systems grow increasingly adept at answering phones and resolving queries.

Beyond these directly impacted roles, Gray highlighted “rules-based businesses” like accounting, healthcare claims, and marketing compliance as ripe for transformation.

Blackstone’s investments in companies like AGS Health, Citrin Cooperman, and Norm AI signal a belief in AI’s power to streamline, automate, and fundamentally alter these sectors.

While framed as efficiency gains, such transformations inevitably raise uncomfortable questions about workforce displacement, forcing us to consider whether “doing more with less” will translate into “doing it with fewer people.”

Perhaps most chillingly for some, Gray illustrated AI’s creeping influence even into the realm of human creativity.

He showcased two versions of a Blackstone commercial, one filmed on location for a cool $1 million, the other an AI-generated counterpart crafted by “two guys in a couple of hours” for “a lot, lot less.”

While Gray conceded the AI version wasn’t “quite as good yet,” the cost disparity is a stark warning shot across the bow of creative industries.

This example underscores that the impact of AI isn’t confined to repetitive, rules-based tasks; it’s beginning to penetrate the very fabric of imagination and artistic production, challenging the long-held belief that creativity is immune to automation.

Gray himself, while bullish on the underlying opportunity, wasn’t immune to the historical echoes of “overexuberant investments,” cautioning against the speculative froth that often accompanies such seismic shifts.

He questioned whether the AI boom could create “bubbles,” reminding investors of past financial industry layoffs triggered by unchecked enthusiasm.

This adds a layer of sober realism to the discussion, suggesting that even as new wealth is created, prudent navigation will be paramount.

The AI era, as envisioned by Gray, isn’t merely a technological upgrade; it’s a fundamental re-calibration of value, skill, and human endeavor.

It forces us to confront not just what machines can do, but what unique, indispensable qualities remain the exclusive domain of human ingenuity.

As the rapid current of AI continues to flow, individuals and economies alike must adapt, learn, and perhaps, take Gray’s updated advice to heart: in this new world, understanding “power” in all its forms, from electrical grids to human resilience, may be the most crucial skill of all.