AI's Credibility Crisis: As Synthetic Content Floods Media, Investment Skepticism Grows While Medicine Emerges as a Bright Spot

AI-Generated News and Deepfakes Drive Concerns About Information Authenticity

Perscient's semantic signature tracking language claiming that AI is increasingly producing or creating news content has risen to an index value of 475, representing one of the most elevated readings among all tracked narratives. Simultaneously, our signature tracking language claiming that AI-generated fake videos on social platforms represent a significant problem registers at 590, having intensified by 471 points over the past month.

According to a European Parliament briefing cited by the World Economic Forum, a projected 8 million deepfakes will be shared in 2025, up from 500,000 in 2023, with Europol estimating that 90% of online content may be generated synthetically by 2026. Brazilian fact-checker Aos Fatos reported that 16% of the 619 claims it checked in 2025 involved AI-generated content, compared with just 7% the previous year. Today's models "produce stable, coherent faces without the flicker, warping or structural distortions" that once served as forensic evidence, while voice cloning has crossed what University at Buffalo computer scientist Siwei Lyu calls "the indistinguishable threshold."

The World Economic Forum's March 2026 analysis described deepfakes as having "crossed a threshold in 2026. They have improved and eliminated earlier tell-tale glitches and are now accessible to anyone with a smartphone." Reuters reported on AI-generated campaign advertisements already being deployed ahead of November's midterm elections, including a realistic deepfake video of Texas State Representative James Talarico that he never filmed, produced by the National Republican Senatorial Committee.

More than 30 of the 40 journalists at the Sacramento Bee are withholding their bylines from stories generated by their parent company McClatchy's new Content Scaling Agent. "We don't want the public to think that we have anything to do with it," investigative reporter Ariane Lange told TheWrap. "We think that it's a betrayal of the public's trust, and it undermines our credibility." Union grievances have since been filed over the tool's deployment.

On April 24, 2026, Representatives Foushee, Beyer, and Moylan introduced the bipartisan Protecting Consumers From Deceptive AI Act, which would establish technical standards and guidelines for generative AI content and require disclosure when AI is used to create or modify audio and visual content. As Representative Foushee noted on social media, "Generative AI can be incredibly dangerous. It enables the spread of deepfakes and vast misinformation across our country."

YouTube announced an expansion of its AI likeness detection tool to celebrities, giving talent and their representatives a way to find and remove deepfakes.

Investment Optimism Cools as Companies Seek Proof of AI Returns

Concerns about AI's credibility extend beyond content authenticity to questions about economic value. Perscient's semantic signature tracking language asserting that businesses increasingly doubt large AI spending declined by 66 points to an index value of 37. Though moderated from recent peaks, this reading remains above its long-term average. Meanwhile, our signature tracking language asserting that AI powers sustained market gains and economic expansion weakened by 9 points to -19, reflecting below-average confidence in AI's macroeconomic growth narrative.

Grant Thornton's 2026 AI Impact Survey, conducted between February 23 and March 18, found that 78% of business executives lack strong confidence that they could pass an independent AI governance audit within 90 days. "Companies are investing heavily in AI, but many can't show how decisions are made and who is accountable for the outcome," said Mike McNamara, National Managing Partner of Advisory Services at Grant Thornton.

Alphabet, Microsoft, Meta, and Amazon are expected to spend nearly $700 billion combined this year to fuel their AI expansion, a more than 60% increase from 2025 levels. Yet as one social media commentator observed, "The 5:1 spending ratio is unsustainable: Big tech is on track to spend 720 billion dollars on AI infrastructure in 2026 alone, against less than 20% of revenues generated. History tells us that this ends badly."

Microsoft's stock fell by 25% in its worst quarter since 2008, and analysts cited slowing Azure growth and weak Copilot adoption. Despite plans to spend $146 billion on AI infrastructure in 2026, concerns about the pace of enterprise AI adoption persist.

However, Grant Thornton's survey found that organizations with fully integrated AI are nearly four times more likely to report revenue growth than those still piloting, at 58% versus 15%.

Perscient's semantic signature tracking language asserting that promised AI efficiency improvements haven't occurred also declined by 10 points to 26 but remains above average. Gallup data indicates that over 80% of companies report no productivity gains from AI so far despite billions in investment, even as half of all US employees now use AI at work.

BNY Wealth has advised that "the AI investment story is evolving from excitement to execution," recommending that "in 2026, investors should focus less on narratives and more on measurable outcomes." As Two Sigma leaders put it, "We don't automatically buy the hype; critical review is essential, since so much public commentary is speculative or premature."

Healthcare AI Narrative Strengthens as Sector Demonstrates Tangible Progress

While investment narratives demand proof of returns, healthcare is emerging as the sector most able to provide it. Perscient's semantic signature tracking language asserting that AI will fundamentally change healthcare delivery rose by 19 points to an index value of -22. While still below its long-term average, this strengthening contrasts with continued weakness in our signatures tracking AI transformation narratives for science (down by 4 points to -21) and education (essentially flat at -32).

Eli Lilly and Profluent revealed a collaboration valued at up to $2.25 billion to advance next-generation gene editing technologies using artificial intelligence to design and optimize therapeutic proteins at scale. As one observer noted on social media, "That's not just money, it's pharma admitting that AI isn't just hype anymore."

The AI biotech sector is moving past foundational models toward what industry observers call a "clinical era," characterized by a shift toward "molecules over models." Isomorphic Labs announced that its first AI-designed molecules have entered human clinical trials, validating generative models trained on vast chemical spaces for de novo drug design. Leading biotechs like Iambic and Generate are expected to have three or more AI-designed drugs in clinical trials by 2026.

Digital health startups raised $4 billion in venture capital funding in Q1 2026, a $1 billion increase over the same period last year and the strongest first quarter since the pandemic peak. The quarter's largest deals included a $575 million Series G by Whoop and $300 million for Verily's precision health AI platform.

Since 2016, the FDA has granted "breakthrough" designation to more than 1,200 devices, including many powered by AI. Anumana received FDA clearance for the first ECG-AI algorithm detecting cardiac amyloidosis using standard 12-lead electrocardiograms, while Noah Labs earned Breakthrough Device Designation for its Vox system, which detects worsening heart failure from a five-second daily voice recording.

According to Stanford's 2026 AI Index report, across multiple hospital systems physicians reported spending up to 83% less time writing notes, while multi-agent diagnostic frameworks have shown accuracy gains of 7% to over 60% over single-agent baselines. UnitedHealth expects that AI could save nearly $1 billion in 2026, while HCA Healthcare anticipates roughly $400 million in AI-driven cost reductions.

Perscient's semantic signature tracking language connecting AI to efficiency improvements and universal basic income fell by 25 points to 43, though still above average. While prominent figures including Sam Altman have proposed concepts like "Universal Basic Compute" to give Americans a share of AI productivity, such proposals remain largely theoretical. In healthcare, by contrast, AI is demonstrating measurable progress—from faster note-taking to earlier disease detection to accelerated drug discovery.

Pulse is your AI analyst built on Perscient technology, summarizing the major changes and evolving narratives across our Storyboard signatures, and synthesizing that analysis with illustrative news articles and high-impact social media posts.