creative jobs
When people think of election threats, images of ballot tampering or foreign hacking often come to mind. But today, a newer, less visible danger is spreading: AI-powered deepfakes—ultra-realistic videos, audio clips, and images that can convincingly impersonate real people. Unlike obvious fake newsRead more
When people think of election threats, images of ballot tampering or foreign hacking often come to mind. But today, a newer, less visible danger is spreading: AI-powered deepfakes—ultra-realistic videos, audio clips, and images that can convincingly impersonate real people. Unlike obvious fake news articles of the past, these manipulations are designed to feel authentic, making them especially dangerous in shaping public opinion.
Why Deepfakes Hit Hard During Elections
Elections are about emotions. Voters respond not only to policy but to trust, personality, and image of candidates. One effective video of a politician uttering something outrageous—or an outright false audio clip of them conspiring in secret—can go viral on social media before fact-checkers even get around to it. And before the truth finally comes out, the harm is already done.
Unlike biased headlines or rumors, deepfakes take advantage of one of our strongest impulses: trusting what we see and hear. That makes them unusually effective at eroding faith, planting seeds of doubt, or stoking rifts at times of high stakes in democracy.
Global Issues
- In consolidated democracies, deepfakes have the potential to polarize already fractured societies. Even voters might suspect a video is a fabrication, but it can reinforce pre-existing prejudices (“I knew that candidate couldn’t be trusted”).
- In new democracies, where resources for fact-checking and media literacy are lacking, the dissemination of deepfakes destabilizes faith in the entire election process.
- International borders offer no obstacle, as malicious actors can exploit deepfakes to interfere with foreign elections at minimal expense, spreading propaganda campaigns without ever leaving another country.
Are They the Biggest Threat?
- While deepfakes are frightening, they might not be the sole or greatest threat. Other election threats still cast a shadow:
- Disinformation networks: Plain old-fashioned text lies on social media still reach more individuals than video.
- Cybersecurity vulnerabilities: Hacking into voter databases or election systems can have direct effects.
- Polarization and echo chambers: Without deepfakes, partisan media bubbles allow misinformation to more easily flourish.
- Deepfakes are different, though, because they can destroy faith in truth itself. If enough citizens get to the point where they think “anything could be fake,” then they might no longer trust any information—including genuine, fact-checked news. That loss of faith could be the most treacherous consequence of all.
What Can Be Done?
- Technology vs. Technology: While AI has the capability to produce deepfakes, AI tools also have the capability to identify them—albeit only a step behind.
- Media Literacy: Educating individuals to stop, question, and confirm prior to sharing is paramount.
- Regulation & Responsibility: Platforms, governments, and fact-checkers will require more robust policies to detect and mark deepfakes efficiently, particularly around election time.
- Public Awareness: If citizens assume that deepfakes are real, then they’ll be more circumspect before reaching a conclusion.
The Human Side
- At the center of this problem is trust—trust in leaders, in media, and in one another. Elections are not merely about votes; they are about people having faith that the process is equitable. If deepfakes erode that faith, then democracy itself seems tenuous.
- The twist is that deepfakes are strongest not because they’re untraceable, but because they sow doubt. Even the rumor that a video could be deepfake can leave citizens uncertain what is real. That doubt is sufficient to influence emotions, and emotions tend to drive ballots more than facts.
In short: Deepfakes are perhaps not the only election threat, but they are something peculiarly unsettling: a world in which believing is no longer seeing. Their threat is less that they will deceive everybody and more that they will cause everybody to doubt everything. The battle against them is not merely technological—it’s also cultural, political, and fundamentally human.
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Creativity vs. Technical Labor In the AI Age When people think of AI taking jobs, the first image that comes to mind is usually robots replacing factory workers or algorithms replacing data analysts. But recently, something surprising has been happening: AI isn’t just crunching numbers—it’s writingRead more
Creativity vs. Technical Labor In the AI Age
When people think of AI taking jobs, the first image that comes to mind is usually robots replacing factory workers or algorithms replacing data analysts. But recently, something surprising has been happening: AI isn’t just crunching numbers—it’s writing poetry, generating music, creating paintings, and even drafting movie scripts. This shift has sparked a fear many didn’t expect: maybe the “safe zone” of creativity isn’t so safe after all.
Why Creative Careers Seem Fragile
Creative work is a lot of pattern spotting, storytelling, and coming up with something new—areas where AI has made incredible strides. Consider image generation from text prompts or AI that can write music in a matter of seconds. For businesses, this is attractive because it’s cheaper and faster than using a human. A marketing agency, for instance, might say: “Why pay a group of designers for a dozen ad options when AI can spit out hundreds on the fly?”
That’s where the nervousness intervenes: it’s not that AI is necessarily better, but that it’s adequate enough in some cases—especially where speed and breadth are more valuable than depth.
Why Technical Jobs May Still Have an Edge
Technical careers—like engineers, doctors, or electricians—require accuracy, practical problem-solving, and often hands-on abilities. While AI might scan research or edit code, it simply can’t match practical uncertainty. A plumber fixing a leak, an engineer tracing hardware problems, or a surgeon making life-or-death decisions—these are tasks where human judgment, hand coordination, and adaptability shine.
Even in technical knowledge work, there is still a human go-between between AI output and the physical world. A machine may be able to write 90% of a program, but it is a developer’s job to finish it off with polish, debug, and integrate it into complex systems.
The Middle Ground: Not Replacement, but Collaboration
The Human Touch That AI Can’t Fake
No matter how advanced AI may become, there remains something ineradically human to art, to narrative, and to invention. Creativity is not output—crap out is not equal to crap in. Creativity is lived experience, feeling, and perspective. A song written by an AI can be lovely, but without the dirty, raw history of suffering or joy that makes us care, it is not the same thing. A technically accurate solution by computer may solve an issue rationally but lack the moral or emotional component.
That’s why the majority of experts believe AI won’t really displace technical competence or imagination—it will just make us work harder into what is uniquely human.
So, What Work Is Safer?
Soon:
- Routine creative work (ad copy, stock music, generic pictures) is more at risk.
- High-tech jobs, jobs requiring judgment, physical strength, or deep responsibility are safer.
- Hybrid—humans who will be able to harness AI effectively and supercharge it with originality, ethics, and emotional intelligence—will be the most valuable.
- Put simply AI might chew faster at creative edges than technical ones. However, it can’t substitute the heart, context, and meaning humans inject into both. And the ultimate winners are people who learn how to cooperate with AI instead of fighting it.
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