Young adults are among the heaviest users of artificial intelligence—and their concern about its effect on jobs is rising quickly. A new Pew Research Center analysis finds that 55% of U.S. adults under 30 are now more concerned than excited about AI, while 73% expect it to reduce the total number of jobs over the next 20 years.

Dr. Mike separates survey belief from employment evidence, compares the Stanford and Dallas Fed warning signs with more cautious findings from Yale and the Economic Policy Institute, and explains why the most important risk may be the missing first rung of the career ladder.

KEY TAKEAWAYS
• Concern among adults under 30 rose from 31% in 2021 to 55% in 2026.
• The 71% figure measures people who expect fewer jobs; it does not mean 71% of jobs will disappear.
• Young adults can use AI frequently while distrusting its broader direction.
• Some research finds weakness among early-career workers in highly exposed occupations, especially through fewer people entering those jobs.
• Other economy-wide research has not found a clear AI employment effect yet.
• Employers and schools need new paths for supervised practice when routine beginner tasks are automated.

SOURCES
Pew Research Center — Young adults are increasingly wary of AI:
https://www.pewresearch.org/short-reads/2026/08/18/young-adults-in-the-us-are-increasingly-wary-of-ai-concerned-it-will-take-jobs/

Gallup — Americans cool toward AI:
https://news.gallup.com/poll/712751/americans-cool-toward.aspx

Axios / Generation Lab — Youth poll:
https://www.axios.com/2026/08/13/youth-poll-thumbs-down-on-everything

Stanford Digital Economy Lab — Early employment effects:
https://digitaleconomy.stanford.edu/publication/canaries-in-the-coal-mine-six-facts-about-the-recent-employment-effects-of-artificial-intelligence/

Federal Reserve Bank of Dallas — Young workers and AI exposure:
https://www.dallasfed.org/research/economics/2026/0106

Yale Budget Lab — Tracking AI and the labor market:
https://budgetlab.yale.edu/research/tracking-impact-ai-labor-market

Economic Policy Institute — Class of 2026 occupation data:
https://www.epi.org/blog/class-of-2026-what-occupation-data-show-about-ai-and-the-young-college-graduate-workforce/

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OpenAI has signed a 20-year agreement for approximately eight gigawatts of computing capacity at the PORTS-Pike Technology Campus in southern Ohio. The deal turns artificial intelligence into a physical infrastructure story involving power plants, transmission lines, federal land, local jobs, water systems, chips, and a large conditional financial backstop from Nvidia.

Dr. Mike explains what the numbers actually mean, why a $105 billion guarantee cap is not cash already paid, how sponsor job projections differ from measured outcomes, and which community, ratepayer, water, and climate promises deserve continued verification.

KEY TAKEAWAYS
• Eight gigawatts refers to planned computing load—not an eight-gigawatt power plant.
• The supporting plan calls for at least ten gigawatts of new generation, including at least 9.2 gigawatts of natural gas, plus $4.2 billion in transmission work.
• Nvidia will be the exclusive computing provider, invest $1.5 billion in S. B. Energy, and conditionally back an initial lease value capped at $105 billion.
• The 35,000 construction-job estimate is temporary work projected across a six-year buildout; the long-term operating estimate is 2,500.
• OpenAI and S. B. Energy describe an $80 million combined community-benefit fund; separate Codex credits have a stated maximum retail value of $84 million.
• Closed-loop air cooling may reduce direct onsite water demand, but it does not measure the project's entire water or climate footprint.

SOURCES
OpenAI — OpenAI joins PORTS-Pike project:
https://openai.com/index/openai-joins-ports-pike-project/

Nvidia — PORTS-Pike announcement:
https://nvidianews.nvidia.com/news/nvidia-guarantees-sb-energy-s-ports-pike-technology-campus-in-ohio-to-exclusively-host-nvidia-ai-compute

Nvidia Form 8-K filed with the U.S. Securities and Exchange Commission:
https://d18rn0p25nwr6d.cloudfront.net/CIK-0001045810/988230c7-dd29-466b-92dc-5cf34f65b60f.pdf

Axios independent reporting:
https://www.axios.com/2026/08/17/openai-nvidia-ohio-data-center-sb-energy

U.S. Department of Energy fact sheet:
https://www.energy.gov/articles/fact-sheet-department-energy-ensuring-affordable-energy-access-ohio-while-powering-future

PORTS Technology Campus project site:
https://portscampus.com/

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OpenAI has published a plain-language explanation of the limited identifiers and browsing events it shares with selected marketing partners to promote its own products on other websites and apps. The disclosure does not say OpenAI is selling chat transcripts—but it does show how ChatGPT is joining the familiar cross-site advertising ecosystem.

Dr. Mike explains what a hashed identifier can still reveal, separates external OpenAI marketing from ads shown inside ChatGPT, and walks through the account-level privacy control users can review today.

KEY TAKEAWAYS
• OpenAI says external marketing partners may receive limited identifiers and basic activity such as a Free-tier signup or product-page visit.
• OpenAI says conversations and uploaded documents, images, videos, and other content are not shared with those partners for this purpose.
• A hashed email or phone value is harder to read directly, but it can still be matched when another platform already has the same input.
• External OpenAI marketing and labeled ads inside ChatGPT are separate systems with different stated data flows.
• The account-level control is Settings → Data Controls → Marketing Privacy.
• An early independent audit of in-ChatGPT ads found clear separation from responses, while lower-income-signaling test accounts received ads more often.

SOURCES
OpenAI — How We Promote OpenAI on Third-Party Properties:
https://help.openai.com/en/articles/20001156

OpenAI — Ads in ChatGPT:
https://help.openai.com/en/articles/20001047-ads-in-chatgpt

OpenAI U.S. Privacy Policy:
https://openai.com/policies/privacy-policy/

OpenAI Advertising Policies:
https://openai.com/policies/ad-policies/

Associated Press independent reporting:
https://apnews.com/article/83812a066375a805fa2e29b28fc77da1

Axios independent reporting:
https://www.axios.com/2026/02/09/chatgpt-ads-testing-go-free

Lurie et al., The Beginning of ChatGPT Ads:
https://arxiv.org/abs/2608.05008

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Artificial intelligence is making college students reconsider their majors—but anxiety is not the same thing as a labor-market forecast. New survey evidence shows substantial uncertainty and real academic changes, while leaving a crucial question unanswered: are students moving toward AI-intensive fields or away from them?

Dr. Mike separates tasks, jobs, and majors; explains why accounting is a useful case study; and offers a seven-step framework for choosing an education without chasing every headline.

KEY TAKEAWAYS
• There is no permanently AI-proof major.
• Reported student anxiety matters, but it does not measure jobs eliminated by AI.
• Gallup found that 47% considered changing their major or field because of AI’s possible job-market effects, while 16% reported already changing.
• AI can transform individual tasks without eliminating an entire job or educational pathway.
• Durable skills, domain depth, proof of work, optionality, and scheduled reassessment are more useful than panic.
• If AI removes routine entry-level tasks, schools and employers may need more deliberate supervised practice—an editorial inference, not a reported finding.

SOURCES
Gallup — College Students Weigh AI’s Impact on Majors and Careers:
https://news.gallup.com/poll/704087/college-students-weigh-impact-majors-careers.aspx

Lumina Foundation–Gallup 2026 State of Higher Education report:
https://www.gallup.com/file/analytics/704279/Lumina-Foundation-Gallup-SOHE_AI_Report.pdf

Lumina Foundation summary:
https://www.luminafoundation.org/resource/ai-in-higher-education-widespread-use-unclear-rules/

Axios, August 15, 2026:
https://www.axios.com/2026/08/15/college-major-ai-skills-job-search

Associated Press independent reporting:
https://apnews.com/article/ai-anxiety-college-major-4af9a0a8caae1d302acb5aadcf0c68ba

American University curriculum announcement and course listings:
https://kogod.american.edu/news/kogod-school-of-business-infuses-artificial-intelligence-throughout-curriculum
https://kogod.american.edu/aicourses

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Google now lets people remove the visible watermark from AI-generated images, video, and music—but the invisible provenance signals are supposed to remain. That moves transparency from a badge anyone can notice toward signals people must actively inspect.

Dr. Mike explains what changed, what SynthID and Content Credentials can and cannot establish, why clean output matters to creators, and a practical six-step verification ladder for viewers, schools, employers, newsrooms, and other institutions.

KEY TAKEAWAYS
• Google’s visible AI badge is now optional for generated images, video, and music.
• Google says invisible SynthID and C2PA-based Content Credentials remain.
• A missing detector result does not prove media is authentic or non-AI.
• A positive provenance signal identifies origin or editing tools; it does not prove the depicted claim is true.
• High-stakes claims deserve source tracing, provenance inspection, and independent corroboration.

SOURCES
Primary announcement — Josh Woodward, Google Labs:
https://x.com/joshwoodward/status/2088259242423968162

Independent reporting — TechCrunch, August 14, 2026:
https://techcrunch.com/2026/08/14/google-will-now-allow-users-to-remove-visible-watermark-from-its-ai-generations/

Google DeepMind — SynthID:
https://deepmind.google/models/synthid/

Google Gemini Help — verify whether media was made with Google AI:
https://support.google.com/gemini/answer/16722517?hl=en

Google — identifying AI-generated media online:
https://blog.google/innovation-and-ai/products/identifying-ai-generated-media-online/

C2PA technical specification:
https://c2pa.org/specifications/specifications/2.2/index.html

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Twitch now has a default-on setting that permits Amazon to use channel-associated content in generative-AI development. Creators can opt out—but streams, clips, images, and community chat make this more than a simple creator-only decision.

Dr. Mike explains what Twitch disclosed, why the default matters, the real accessibility case for better speech recognition and captions, what remains unknown about past use, and the practical setting audit creators can perform today.

KEY TAKEAWAYS
• Twitch’s AI-training control is on by default, with a creator opt-out.
• Channel-associated content can include streams, clips, images, and chats.
• Better captions are a real benefit; they do not settle whether default enrollment is meaningful consent.
• Twitch has not publicly answered key questions about timing, model-specific use, historical content, or the technical effect of opting out.
• Creators can make the choice explicit and communicate it to their communities.

SOURCES
Twitch Privacy Notice:
https://www.twitch.tv/p/en/legal/privacy-notice/

Twitch account settings help:
https://help.twitch.tv/s/article/twitch-account-settings?language=en_US

Twitch AI-consent setting:
https://www.twitch.tv/settings/security#settings-security-page-ai-consent

Independent reporting — BBC News, August 13, 2026:
https://www.bbc.co.uk/news/articles/cp30pz8d09jo

Earlier context — The Information:
https://www.theinformation.com/briefings/twitch-has-role-to-play-in-training-amazon-ai-executive-says

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Google's Pixel 11 launch is less about opening a smarter chatbot and more about AI appearing inside the camera, keyboard, messages, travel details, and connected apps. That could remove everyday friction—but it also gives the assistant more context, more chances to act, and more opportunities to sound certain when verification still matters.

Dr. Mike explains the new Pixel 11 lineup, Google's Tensor G6 and on-device AI claims, proactive multi-app help, Rambler speech cleanup, sign-to-text, computational photography, live translation, and the practical questions ordinary users should ask before handing an assistant more access.

KEY TAKEAWAYS
• “On device” can reduce delay; it is not a blanket privacy guarantee.
• Proactive help is useful only when permissions and consequential actions remain reviewable.
• Clean transcription and translation can remove uncertainty that matters.
• Computational photography is not automatically dishonest, but originals matter when an image is evidence.
• Trial offers, connected services, and polished suggestions deserve a full-price and source check.

SOURCES
Google — Made by Google 2026 announcements (August 12, 2026):
https://blog.google/products-and-platforms/devices/pixel/made-by-google-2026/

Google — Pixel 11 features:
https://blog.google/products-and-platforms/devices/pixel/pixel-11-features/

Google — Pixel 11 Pro and Pro XL:
https://blog.google/products-and-platforms/devices/pixel/google-pixel-11-pro-xl/

Google — New Gemini connected apps and services:
https://blog.google/innovation-and-ai/products/gemini-app/new-connected-apps-services-gemini-august-2026/

Independent reporting — Associated Press:
https://apnews.com/article/google-pixel-11-android-3bbad7afc4d25e15527477123415e50a

Independent reporting — Axios:
https://www.axios.com/2026/08/12/google-pixel-foldable-watch-2026

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Abbott and Google Health are connecting Lingo continuous glucose readings to a Gemini-powered health coach. The goal is more personalized guidance using glucose, sleep, activity, and recovery context—but a wellness sensor is not a diagnosis, and a persuasive AI explanation can still be wrong.

Dr. Mike explains what the companies announced, what Lingo actually measures, why the planned real-world study matters, and the evidence, privacy, access, and commercial-incentive questions users should keep in view.

KEY TAKEAWAYS
• Lingo estimates glucose patterns; it does not diagnose diabetes or prediabetes.
• The Google Health Coach is intended to combine glucose with broader wellness context.
• A personalized story from noisy biological data can feel more certain than the evidence.
• The planned study is potentially important, but methods and results are not available yet.
• Review connected data sources, consent controls, premium access, and total recurring cost.

SOURCES
Abbott primary announcement (August 11, 2026):
https://abbott.mediaroom.com/2026-08-11-Abbott-and-Google-launch-first-of-its-kind-partnership-to-transform-everyday-health-through-glucose-insights-and-AI

Independent reporting — Drug Delivery Business:
https://www.drugdeliverybusiness.com/abbott-google-to-deliver-blood-glucose-insights-through-artificial-intelligence/

Independent reporting — Fierce Biotech:
https://www.fiercebiotech.com/medtech/abbott-teams-google-health-ai-powered-health-insights-app

Google Health product overview:
https://blog.google/products-and-platforms/products/google-health/google-health-app/

Google Health privacy and consent information:
https://support.google.com/googlehealth/answer/16998660?hl=en
https://support.google.com/googlehealth/answer/17055092?hl=en

FDA Lingo clearance and intended use:
https://www.accessdata.fda.gov/cdrh_docs/pdf23/K233655.pdf

CDC diabetes and prediabetes statistics:
https://www.cdc.gov/diabetes/php/data-research/index.html

Independent clinical context — Associated Press:
https://apnews.com/article/75469f79bc649cab0d831e6ec52758a7

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Meta has released Muse Glimmer, a 30-billion-parameter open-weight AI agent model designed to run locally on one sufficiently powerful computer. That could make advanced assistants more private, customizable, and resilient—but local execution does not automatically make an entire application safe or private.

Dr. Mike explains what Meta actually released, the hardware it requires, why an agent is different from a chatbot, what the model card says about risk, and how read-only access and human confirmation can reduce the danger of unintended actions.

KEY TAKEAWAYS
• Muse Glimmer is infrastructure, not a finished consumer assistant.
• Meta targets computers with roughly 24–32 GB of high-speed memory; this is not every laptop.
• Local inference can improve privacy, but extensions, telemetry, and tool connections still matter.
• Open-weight is more precise than claiming every part of the system is open source.
• Start agents with read-only access and require confirmation before irreversible actions.

SOURCES
Meta AI technical announcement and model details:
https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model

Meta model card and stated limitations:
https://huggingface.co/meta-models/Muse-Glimmer-30B

Meta essay on broad AI access:
https://www.meta.com/thefutureisforeveryone/

Associated Press independent reporting:
https://apnews.com/article/meta-ai-mark-zuckerberg-artificial-intelligence-df8a4e7d7825470d09e8090367457c2c

Axios independent analysis:
https://www.axios.com/newsletters/axios-am-4091a8a0-93fe-11f1-b7c5-3bc7f3809f0e

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Chatbots can sound caring, remember context, and offer advice—but that does not make them licensed clinicians. California Senate Bill 903 is an active proposal, not current law, that would draw new boundaries around AI used in psychotherapy and mental-health screening.

Dr. Mike explains what the amended bill would allow, where it would require licensed human review, the consent and data-use safeguards it proposes, and why access concerns make the policy debate more complicated than a simple ban.

KEY TAKEAWAYS
• SB 903 is still pending; it has not taken effect.
• The proposal distinguishes administrative support from diagnosis, treatment, triage, and other clinical decisions.
• Patients would receive disclosure and give explicit, documented, revocable consent for specified uses.
• A supportive tone is not evidence of clinical competence or confidentiality.
• Use AI to organize and prepare; rely on qualified people for high-stakes decisions and crises.

SOURCES
Los Angeles Times / CalMatters, independent reporting published August 9, 2026:
https://www.latimes.com/science/story/2026-08-09/as-ai-therapists-dish-out-advice-california-lawmakers-try-to-set-some-limits

California Legislature, current text of Senate Bill 903:
https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202520260SB903

California Legislature, official status and history of Senate Bill 903:
https://leginfo.legislature.ca.gov/faces/billStatusClient.xhtml?bill_id=202520260SB903

Senator Steve Padilla, Senate passage announcement:
https://sd18.senate.ca.gov/news/california-state-senate-approves-legislation-protect-against-dangerous-ai-therapy-products

California Legislature, Senate Bill 243 companion-chatbot law:
https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202520260SB243

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