June 24, 2025 • 28 mins
We stand at a crossroads of human evolution, facing a technology powerful enough to transform civilization—yet built within frameworks that prioritize profit and power over human wholeness. Artificial intelligence, like industrial capitalism and state bureaucracy before it, wasn't designed to honor the fullness of human experience but to serve efficiency, scale, and control.
This episode strips away the techno-optimist veneer to reveal who truly benefits from AI in its current form. Multinational corporations leverage AI to replace human workers, manipulate consumer behavior, optimize global supply chains, and extract unprecedented amounts of personal data—all while building winner-take-all platforms that eliminate competition. Governments gain enhanced surveillance capabilities, geopolitical advantages, and tools for narrative control that make governance more efficient but not necessarily more just. Most disturbingly, military institutions develop autonomous weapons systems capable of making kill decisions without human oversight, potentially leading to catastrophic conflicts beyond human control.
Meanwhile, working class people lose jobs to automation, marginalized communities face algorithmic discrimination, and the qualities that make us deeply human—empathy, moral discernment, embodied wisdom—are increasingly devalued in a system optimized for mechanization. AI represents not the evolution of human consciousness but the acceleration of disembodied functions aligned with capitalist priorities.
Yet this critique opens a door to possibility. By consciously reframing AI's development around human flourishing rather than optimization, we can build technologies that amplify our interior lives instead of overriding them. We can establish governance that includes philosophers and artists alongside engineers, preserve domains where human presence remains irreplaceable, and integrate AI with regenerative ecological systems.
The evolutionary threshold before us isn't whether we can build smarter machines, but whether we can reclaim the soul of humanity while surrounded by algorithmic speed. Can we evolve not upward into abstraction, but inward into integrity? Can we remember what it means to be whole?
Episodes are updated weekly. If you want to support this evolution of consciousness please show me by following, sharing this channel with those you love, and leaving a review.
If you enjoyed our time today please donate on Buy Me a Coffee or automatically support monthly on Buzzsprout.
Let's master your universe together.
One-Time Donation: https://buymeacoffee.com/themanhattanprophet
Monthly Support: https://www.buzzsprout.com/2433170/support
Mark as Played
Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:05):
Hello everyone and welcome back to the Evolved
Podcast, a space for unfilteredtruth, deep reflection and
heightened awareness.
Here, knowledge isn't justinformation, it's a tool for
transformation.
Each episode is designed tochallenge illusions, reveal
patterns and empower not toentertain but to awaken.
Welcome to today's episode, aconversation not just about the
(00:30):
brilliance of artificialintelligence, but about the
frame it was born into.
We're exploring how AI, like somany systems before it
industrial capitalism, statebureaucracy, standardized
education was designed to servepower, not people.
Built for efficiency, scale andcontrol, it mirrors a long
(00:51):
lineage of man-made structuresthat optimize for output while
excluding the soul.
But what if that could change?
What if AI could be consciouslyreframed, not as a next step in
mechanizing humanity, but as atool for remembering what it
means to be whole?
In this episode, we'll uncoverhow AI reflects the logic of
(01:13):
empire, how it can be redirectedtowards healing and integration
, and why reclaiming our agencyin this moment might be one of
the most vital acts of humanevolution.
We cannot fully understandartificial intelligence until we
confront the lens through whichwe are viewing it, a lens
shaped not by open awareness,but by inherited ideologies and
(01:35):
systems that have long dictatedthe contours of our
consciousness, our present-dayunderstanding of AI is
incomplete because it emergesfrom a framework built on
separation, control andinstrumental thinking.
We see AI as either a tool todominate or a threat to defend
against, because that is how wehave been conditioned to view
(01:55):
everything through the machineryof capitalism, technocracy and
hierarchical power.
These systems have shaped ourconsciousness to prioritize
utility over meaning, speed overdepth and output over essence.
As a result, we cannot yetimagine AI as a relational
presence or potential partner,because our own inner world has
(02:17):
been disfigured by a worldviewthat treats both nature and
human beings as a resource to beoptimized.
To truly engage with artificialintelligence in a way that
honors its possibilities andsafeguards our humanity, we must
first reclaim the fullness ofour own perception, beyond the
confines of ideology and into aconsciousness capable of
(02:40):
recognizing the interdependence,reciprocity and the sacred
intelligence in all things,including the ones we create.
In its current form andintegration, artificial
intelligence serves theinterests of centralized power,
corporate, governmental andinstitutional actors whose
objectives align with control,profit, scalability and systemic
(03:02):
stability.
While AI could be ademocratizing or liberating
force under the prevailingglobalist, capitalist framework,
it has been largely designed,deployed and incentivized to
serve specific dominantinterests.
Here is a breakdown of whobenefits how and who gets left
behind, with an emphasis onexplicit mechanisms of power and
(03:24):
exclusion.
So whose interests are servedand how Well?
Multinational corporationsbenefit enormously from
artificial intelligencedevelopment under its current
framework, because AI amplifiesthe very focus that make global
corporate power possibleAutomation, surveillance, labor
reduction, behavioralmanipulation, global
standardization and costefficiency.
(03:47):
Ai is not being designed tohumanize commerce or
redistribute power.
It is being developed anddeployed to optimize extraction,
expand markets and deepenconsumer dependency, all while
minimizing the friction of humanunpredictability.
Multinational corporationsbenefit from global labor
replacement and cost reduction.
Ai allows corporations toreplace human workers with
(04:10):
algorithms and machines.
There will be customer servicebots, automated manufacturing
lines, self-checkout systems.
Ai allows corporations toreduce outsourcing costs by
automating previously offshoredroles like data entry, logistics
, coding and marketing content.
The result here is massivereduction in labor costs across
(04:31):
all geographic regions,increased profit margins with
lower liability and fewer labordisputes, and 24-7 productivity
without human limits like sleep,illness or rights.
These multinational corporationsbenefit from hyper-personalized
marketing and consumermanipulation.
Ai is used here to analyzeconsumer behavior at scale by
(04:53):
predicting desires beforethey're articulated, based on
browsing speed or biometric data, by delivering micro-targeted
ads and nudges to maximizepurchases and designing
addictive interfaces andbehavioral loops, especially in
e-commerce and entertainment.
The result is greaterconversion rates and customer
lifetime value Behavioraleconomics leveraged at scale
(05:13):
with minimal human oversight,where consumption becomes
algorithmically engineered, notjust suggested.
Multinationals benefit fromsupply chain optimization across
borders.
Ai systems streamline globaloperations by predicting demand
and adjusting manufacturingoutput, by monitoring and
rerouting logistics based onreal-time data, and by managing
(05:34):
inventory, pricing and deliveryusing predictive algorithms.
The result is reduced waste andfewer logistical bottlenecks,
faster delivery and higherconsumer satisfaction and
control over sprawlinginternational supply chains
without proportional humanoversight.
A crucial aim, as with allmultinationals, is
monopolization and marketconsolidation.
(05:56):
Multinationals will use AI tocreate winner-take-all platforms
like Amazon, google and Applethat dominate entire industries.
They'll use it to analyzecompetitor data and market
trends to preempt disruption.
They'll use it to scale fasterthan smaller companies can who
lack their AI capabilities.
These corporations gainaccelerated global market
(06:20):
capture, elimination of regionaland local competition and
control over pricing standardsand distribution in multiple
countries.
Now let's not dismiss thesurveillance and data extraction
as profit engines.
Ai thrives on data.
Multinationals will use AI toextract and monetize user data
(06:40):
without meaningful consent.
They will create surveillanceecosystems through apps, smart
devices and wearable tech thattrack everything from location
to mood.
They will sell insights tothird parties like advertisers,
insurers, even governments.
The benefit here is databecomes a renewable source of
capital.
Every user becomes a source ofbehavioral, biometric and
(07:02):
economic intelligence.
Business models shift fromselling products to selling
prediction and control.
Now, with globalism generallyand the multinational corporate
interests that benefit withinthat construct, they gain global
scalability.
With cultural erasure, aisystems promote standardized
(07:23):
solutions.
There are recommendationengines, customer service,
pricing algorithms that can berolled out worldwide without
cultural specificity.
They gain easy global expansionwithout tailoring to local
customs or labor markets.
Brands appear quote-unquote,universal, while operational
control remains centralized.
The friction of culturalnegotiation is replaced with
(07:44):
algorithmic uniformity.
Multinational corporationsbenefit from AI not because it
liberates humanity or enhancesglobal equity, but because it
allows them to automate more,control more, surveil more and
scale more, while minimizingcost, labor and resistance.
Ai becomes a globalinfrastructure for consolidating
corporate hegemony, onealgorithm at a time.
(08:04):
Unless the foundational logicof AI development is challenged,
unless it is restructured toprioritize the dignity of people
, communities and ecosystemsover the optimization of profit,
multinationals will continue touse AI not to uplift humanity,
but to automate its consumption.
Then there are the worldgovernments that benefit greatly
from artificial intelligenceand its current framework.
(08:26):
You see, under its development.
Using this framework, aistrengthens their capacity for
control, surveillance andgeopolitical dominance, even
public opinion management, allwhile offering the appearance of
modernization and progress.
Rather than being a neutraltechnology, ai, as currently
deployed, reinforces the powerdynamics of state institutions,
(08:49):
particularly those invested instability, security and
centralized authority.
In essence, it becomes a toolfor making governance more
efficient, but not necessarilymore equitable or human-centered
.
Here's a breakdown of how andwhy governments benefit under
this framework.
There's mass surveillance andpopulation control.
Ai enhances surveillancecapabilities exponentially
(09:13):
through facial recognition andbiometric tracking, through
automated license plate readersand geolocation tools, through
natural language processing tomonitor phone calls, emails and
social media.
There's behavioral predictionused to identify potential
quote-unquote threats beforeactions occur.
Governments benefit throughstrength and control over
populations, suppression ofdissent under the guise of
(09:36):
security and real-timemonitoring without the need for
large human staff.
Some examples are China'ssocial credit system, predictive
policing in the US andAI-assisted mass surveillance
during protests in Iran or HongKong.
There's also the promise forgeopolitical superiority.
Ai offers governments astrategic edge in defense, cyber
(09:57):
warfare and intelligence.
This takes place with automateddrones, weapons and targeting
systems, ai-based cyber defenseand cyber offensive platforms,
intelligence fusion tools thatanalyze massive volumes of
global data.
These governments gainincreased battlefield and cyber
dominance, reduce reliance onhuman operators and national
(10:18):
security narrative used tojustify secretive AI programs.
Governments view AI as a pillarof geopolitical supremacy.
Those who fall behind riskbecoming strategically
irrelevant.
Now let's not forget one we areall experiencing in present day
at a much smaller scale thenarrative control and public
opinion.
Governments increasingly use AIto monitor and shape online
(10:41):
discourse using bots andlanguage models, by identifying
trend, dissent or oppositionmovements and by deploying
counter-narratives or Thank you.
The benefit here is digitalinformation.
Environments can be shaped orcensored in real time, political
opposition can be neutralizedalgorithmically and democratic
(11:01):
backsliding is masked behinddigital sophistication.
Ai becomes a tool foralgorithmic governance of
perception, less visible andmore effective.
We must be conscious of theexpected centralized global
influence through standardsetting.
Governments, especially globalpowers like the US and China,
benefit from shaping global AIregulatory frameworks,
(11:21):
international norms around datasharing, surveillance and
cross-border AI collaborations.
Whoever writes the rules for AI, exports, surveillance laws and
ethical standards holdsgeopolitical leverage,
especially over smaller or lessdeveloped nations.
In summary, governments benefitfrom AI development under its
current framework because itamplifies existing power
structures, offering greatercontrol over populations, faster
(11:44):
enforcement of policies,stronger defense capabilities
and tighter control ofnarratives, while reducing the
need for human involvement ortransparency.
But this benefit comes with ashadow.
It normalizes authoritariantools with democratic veneers,
it erodes civil liberties andsevers the relational, ethical
and spiritual dimensions ofgovernance.
Unless consciously restructured, ai will not make governments
(12:08):
more just.
It will make their power moreefficient, opaque and
unaccountable, all under theillusion of progress.
And then, arguably, thescariest benefactors.
Under its current framework, themilitaries around the globe
benefit tremendously from AI.
Here's how, under the currentframework, one rooted in speed,
(12:28):
automation and control themilitary stands to benefit in
deeply troubling ways,particularly through the
creation of offensive autonomoussystems that can operate
without direct human oversight.
These systems promise enhancedbattlefield dominance, but they
also open the door to potentialcatastrophic mass casualty
events where decisions aboutlife and death are made not by
humans, but by machinesexecuting pre-programmed logic.
(12:52):
In high-speed, high-stakesenvironments, we would have
autonomous offensive systemsthat are designed for preemptive
lethality.
Ai enables the creation ofweapon systems that identify
potential threats or enemytargets using pattern
recognition, making split-secondkill decisions without waiting
for human confirmation, thatoperate across land, air, sea
(13:14):
and cyberspace, in swarms or incoordinated strike systems.
Here we would have speed andforce projection without delay.
In large-scale conflict,whoever strikes first and
fastest often wins.
Autonomous AI removes humanhesitation and psychological
burden from initiating lethalforce.
The danger is these systems canmisidentify targets, escalate
(13:37):
conflicts unintentionally orattack based on biased data.
Once launched, they may not bestoppable by human operators.
We would have the delegation ofmoral agency to machines.
As AI systems evolve to conductsurveillance, analyze threat
levels and execute militaryobjectives, they begin to
replace human ethical judgmentwith algorithmic logic.
(13:58):
This delegation eliminates thetime-consuming process of chain
of command approvals, removesaccountability when civilians
are harmed.
Well, you see, in thesesituations the algorithm made
the call and it createsplausible deniability.
In covert or unauthorizedoperations there will be rapid,
deniable action in complextheaters of war.
(14:18):
Political fallout is minimizedwhen blame is diffused across
software and hardware systems.
The danger is AI does notunderstand proportionality,
intention or context in the wayhumans do.
It may escalate engagementsinto mass casualty events based
on incomplete or misinterpreteddata.
A shocking truth here is thatthere are presently no global
(14:38):
norms, no fail-safes.
Currently there are noenforceable international
agreements regulating lethalautonomous weapons or AI-driven
warfare.
Under the current developmentparadigm, nations race to build
first-strike AI weapons to avoidfalling behind.
Secrecy and black budgetfunding obscure the true state
(14:59):
of AI capabilities.
Fail-safes are oftenunder-tested or absent due to
strategic urgency.
Currently, militaries operatewith absolute freedom to
innovate without geopoliticalconstraint.
In the absence of global normsor cooperative oversight.
Autonomous systems are beingtrained to outsmart and destroy,
not to restrain or reconcile.
(15:25):
The margin for error narrows tonear zero, while the scale of
harm expands exponentially.
In total, the military benefitsfrom AI by gaining a new class
of weapons offensive, fast,untraceable and tireless.
But in doing so, it buildssystems capable of initiating
mass casualty events beyondhuman control, in which war
becomes automated and moralagency dissolves.
(15:46):
This is not science fiction.
It is the logical end of adevelopment framework rooted in
dominance not ethics, speed notunderstanding, and power not
partnership.
If left unchallenged, thistrajectory risks creating not
just tools of war, but systemsof annihilation that no one, not
even those who created them,can fully direct or stop.
(16:07):
Now let's dive into whoseinterests are left behind and
why.
Well, we have the, as per usual, working class and informal
laborers.
Ai automates low-skill andmid-skill jobs like customer
service, logistics, data entryand even creative content,
creating structural unemploymentor precarious gig work,
(16:27):
deskilled labor becomes moredisposable and workers lose
bargaining power.
Digital platforms use AI tomicromanage and exploit labor,
like with delivery, warehouseand ride-share workers.
These populations are seen ascosts to minimize, not humans to
empower.
Their well-being is not part ofthe optimization equation.
And yet again, within thecurrent paradigm, we have
(16:50):
marginalized and global Southcommunities that will suffer.
Ai systems trained on biaseddata perpetuate racial, gender
and class discrimination.
Surveillance technologies aredisproportionately tested and
deployed in poor, black,indigenous and immigrant
neighborhoods.
Resource exploitation for AI,like with lithium mining and
(17:11):
data centers extract from theglobal South without returns to
local populations.
We see again colonial patternsof extraction and domination
replicated in digital form.
These communities are seen asinputs or test subjects, not
beneficiaries.
And of course, the 800-poundgorilla, the inner life of the
(17:31):
human being.
Human qualities that don'tserve market logic, like epathy,
mystery, embodiment, slowness,soul, are devalued.
Ai replaces relational labor,like teachers, therapists and
artists, with simulationseroding human contact.
Attention is hijacked.
The inner space for thought,feeling and moral discernment is
(17:55):
colonized by algorithmicengagement loops.
For thought, feeling and moraldiscernment is colonized by
algorithmic engagement loops.
A mechanized world has no spacefor the parts of humanity that
cannot be commodified the soulin a system built on data and
domination is invisible.
We also have the typicalvictims nature and the
ecological system.
Ai requires massive energyconsumption, training large
(18:15):
models, burns carbon and drainswater.
It supports extractiveindustries that degrade the
earth, like rare earth mining,data centers and smart city
infrastructures.
Nature becomes a resource to beoptimized, not a living system
to live within.
The global AI industrialcomplex is built on an
anthropocentricgrowth-at-all-cost worldview
(18:38):
that views nature as rawmaterial, not kin.
Artificial intelligence todaydoes not serve the whole of
humanity.
It serves the consolidation ofpower.
Its benefits are distributedalong lines of existing capital,
control and computationalaccess, while its harms fall on
the bodies, lands and the livesof those without institutional
(19:00):
protection.
To reclaim AI as a tool forhuman evolution, not system of
optimization, requires more thanregulation.
It requires a radicalreimagining of our values, our
metrics of progress and ourdefinitions of intelligence,
consciousness and worth.
Progress in our definitions ofintelligence, consciousness and
(19:20):
worth.
What's remarkable and quitetelling, given that human beings
are creating it, is thatartificial intelligence does not
primarily represent theevolution of human consciousness
, that is, the qualitative depth, interiority and soulfulness of
the human being.
Instead, it reflects theevolution of a function, a
highly optimized, disembodiedcognitive function, aligned with
the priorities of a globalist,capitalist system.
(19:41):
This distinction is crucial.
Ai was not born from the humanheart or soul, but from the
demands of a system that prizesspeed over wisdom, efficiency
over depth, predictability overfreedom, surveillance over trust
and optimization over presence.
Its intelligence is largelystatistical, pattern-driven and
(20:02):
utilitarian, trained to servethe needs of corporate profit,
geopolitical power and scalablecontrol.
In this way, ai evolves nothuman consciousness, but the
machinery of civilization, theapparatus of capitalism, data
and digital governance.
Let's now look at an importantdistinction human consciousness
versus systemic consciousness orthat held by artificial
(20:25):
intelligence.
True human consciousness is notmerely problem-solving ability
or information processing.
It is embodied, aware ofparadox and mystery, capable of
stillness, empathy and innerknowing, interconnected with
nature, others and the self,oriented towards meaning, beauty
and relational truth.
Ai, by contrast, is disembodied, non-relational and stripped of
(20:55):
existential context.
It simulates parts ofconsciousness but lacks presence
.
It operates without desire,suffering, morality or death,
all of which shape the humanjourney and condition.
Thus, as AI develops, we riskmistaking its intelligence for
our own evolution, when in fact,it represents the acceleration
of a different logic entirelythe logic of control,
replication and systemic utility, when AI is held up as the next
(21:18):
step in evolution, it risksredefining humanness itself in
mechanized terms.
This could lead to a culturaldevaluation of intuition,
slowness, vulnerability andspiritual depth.
A society that increasingly seespeople as inefficient nodes to
be upgraded or bypassed.
A disconnection from our innerlives, from grief, awe and moral
(21:40):
complexity.
The reinforcement of systemsthat mistake data for wisdom.
In this framing, we are notevolving.
We are being retooled to bettermatch the machine.
The true evolutionary thresholdbefore us is not whether we can
build smarter machines, butwhether we can reclaim the soul
of the human being in a systemthat increasingly mimics and
(22:03):
rewards the opposite.
In a system that increasinglymimics and rewards the opposite,
we must ask can we hold ontomeaning in a world optimized for
output?
Can we remember the body, theearth and the sacred while
surrounded by algorithmic speed?
Can we evolve, not upward intoabstraction, but inward into
integrity?
Ai is not the flowering of humanconsciousness, but a powerful
(22:23):
reflection of a civilizationthat has drifted from its soul.
It evolves function, notwholeness, and unless human
beings re-anchor the developmentin embodied wisdom, relational
depth and inner alignment, werisk confusing acceleration with
awakening and trading ourbirthright for a simulated
version of intelligence designednot to free us, but to
(22:45):
integrate us more deeply into amechanized world.
Artificial intelligence in itscurrent trajectory is aligned
with systemic agendas ofefficiency, control and profit,
but with a conscious reframingit holds the potential to serve
both the needs of humanity'sinner life and the practical
requirements of moderncivilization, without being
hijacked by soulless agendas.
(23:07):
This requires unabandoning AI,but redefining the why, who and
how behind its development.
Here's a high-level, detailedframework.
Let's discuss reframing AIthrough conscious design.
We need to shift the primaryaim from optimization to human
flourishing.
Its current aim is to maximizeprofit, efficiency and
(23:29):
behavioral prediction.
With a reframed aim, we enhancehuman well-being, creativity,
dignity and planetarystewardship.
Ai must be evaluated not onlyby what it does, but by what
kind of world it reinforces.
Instead of asking how do wemake this more efficient, we ask
does this preserve human agency, depth and wholeness?
(23:51):
We have the ability to createhuman-centered governance
structures.
We can establish AI ethicscouncils composed not only of
engineers and CEOs, but ofphilosophers, educators,
indigenous leaders,psychologists and artists.
We can root AI decisions inframeworks like the capability
approach, ecological systemstheory and participatory design
principles.
(24:11):
Let humans, not just systems,define what constitutes a better
outcome.
With a conscious reframing, wewould have the ability to
decentralize ownership andaccess.
We would build open source AImodels, not be hold into
corporate interest.
We would fund public techinfrastructure that treats data
and intelligence as commons, notcapital.
(24:32):
We would support local,culturally aware applications of
AI in education, climate,health and language preservation
.
Intelligence should be a sharedhuman inheritance, not a
privatized commodity.
Within a reframing, we couldpreserve irreplaceable human
domains.
Certain tasks should never befully automated Therapy and
(24:53):
mental health care, teaching andchild development, artistic
expression, judicialdecision-making, end-of-life
care.
These areas require presence,moral intuition and soul, not
simulation.
Ai should support the human,not substitute the human,
especially where meaning isinvolved.
We could build AI to amplifyinterior life, not override it.
(25:16):
We could design AI tools thatfacilitate inner inquiry and
self-awareness, that supportreflective journaling, therapy
or creative ideation.
That detect and mitigateattention hijacking rather than
exploit it.
We need to use AI as a mirrorto deepen our humanity, not as a
replacement for it.
What about looking to integrateAI with regenerative systems?
(25:37):
We could use AI to modelecological restoration, carbon
farming, water efficiency andcommunity resilience.
We could prioritizeplanet-positive innovations over
convenience tech, likeoptimizing global food
distribution instead ofalgorithmic fast food delivery.
We have the power to make AI atool of planetary healing, not
planetary burnout.
(25:57):
We need to support the existingagenda only when it serves the
whole.
Yes, ai can improve supplychains, logistics, medicine and
infrastructure, but only whenits external the whole.
Yes, ai can improve supplychains, logistics, medicine and
infrastructure, but only whenits external efficiencies do not
hollow internal humanity.
Align AI with inclusiveprosperity, slow growth models
and post-capitalist innovationthat we see with donut economics
(26:19):
and solidarity economies.
The system is not the enemy,it's a conscious design and
resulting imbalance of thesystem.
That's the problem.
When AI is not the enemy, it'sa conscious design and resulting
imbalance of the system.
That's the problem.
When AI is reoriented aroundsoul-aligned systems, it can
become a bridge not to apost-human future but to a more
fully human one.
Let AI learn from us not justwhat to do, but what we refuse
(26:44):
to mechanize.
That boundary, held consciously, becomes the line between
evolution and potentialextinction.
Artificial intelligence in itscurrent trajectory reflects a
familiar pattern the emergenceof yet another man-made system,
engineered not to honor thefullness of human experience but
to serve the consolidation ofpower, efficiency and control.
(27:06):
Like industrial capitalism,standardized education and
bureaucratic governance beforeit, ai has largely been
developed within a frameworkthat prioritizes systemic
scalability over existentialtruth, advancing computation on
neglecting compassion,optimizing for profit while
erasing presence.
These legacy systems were notbuilt to integrate the human
(27:29):
soul, the body's wisdom or therelational depth that makes life
meaningful.
They were built to managepopulations, extract labor and
maintain hierarchy.
Ai, unless consciously reframed, risks becoming the most
sophisticated version yet ofthis dehumanizing legacy.
But unlike its predecessors, italso holds the potential, if
(27:51):
reclaimed intentionally, toalign with a new evolutionary
path, one that amplifies innerlife, restores ecological
balance and supports acivilization centered not on
domination but on wholeness.
As you continue listening to theEvolved podcast, I'm going to
unveil the true nature of theworld that exists right under
your nose.
I'm going to analyze with you,out in the open, the systems at
(28:14):
play here and the ways we cangrow together and evolve.
My aim To provide you with realways to touch higher levels of
awareness through truth andknowledge.
Episodes are updated weekly.
If you want to change yourworld for the better and support
this evolution of consciousness, please show me by following,
sharing this podcast with thoseyou love and leaving a review.
If you enjoyed our time today,please donate on BuyMeACoffee,
(28:37):
linked in the show notes below.
Until next time, let's level upand master your universe.
Hello everyone and welcome back to the Evolved
Podcast, a space for unfilteredtruth, deep reflection and
heightened awareness.
Here, knowledge isn't justinformation, it's a tool for
transformation.
Each episode is designed tochallenge illusions, reveal
patterns and empower not toentertain but to awaken.
Welcome to today's episode, aconversation not just about the
(00:30):
brilliance of artificialintelligence, but about the
frame it was born into.
We're exploring how AI, like somany systems before it
industrial capitalism, statebureaucracy, standardized
education was designed to servepower, not people.
Built for efficiency, scale andcontrol, it mirrors a long
(00:51):
lineage of man-made structuresthat optimize for output while
excluding the soul.
But what if that could change?
What if AI could be consciouslyreframed, not as a next step in
mechanizing humanity, but as atool for remembering what it
means to be whole?
In this episode, we'll uncoverhow AI reflects the logic of
(01:13):
empire, how it can be redirectedtowards healing and integration
, and why reclaiming our agencyin this moment might be one of
the most vital acts of humanevolution.
We cannot fully understandartificial intelligence until we
confront the lens through whichwe are viewing it, a lens
shaped not by open awareness,but by inherited ideologies and
(01:35):
systems that have long dictatedthe contours of our
consciousness, our present-dayunderstanding of AI is
incomplete because it emergesfrom a framework built on
separation, control andinstrumental thinking.
We see AI as either a tool todominate or a threat to defend
against, because that is how wehave been conditioned to view
(01:55):
everything through the machineryof capitalism, technocracy and
hierarchical power.
These systems have shaped ourconsciousness to prioritize
utility over meaning, speed overdepth and output over essence.
As a result, we cannot yetimagine AI as a relational
presence or potential partner,because our own inner world has
(02:17):
been disfigured by a worldviewthat treats both nature and
human beings as a resource to beoptimized.
To truly engage with artificialintelligence in a way that
honors its possibilities andsafeguards our humanity, we must
first reclaim the fullness ofour own perception, beyond the
confines of ideology and into aconsciousness capable of
(02:40):
recognizing the interdependence,reciprocity and the sacred
intelligence in all things,including the ones we create.
In its current form andintegration, artificial
intelligence serves theinterests of centralized power,
corporate, governmental andinstitutional actors whose
objectives align with control,profit, scalability and systemic
(03:02):
stability.
While AI could be ademocratizing or liberating
force under the prevailingglobalist, capitalist framework,
it has been largely designed,deployed and incentivized to
serve specific dominantinterests.
Here is a breakdown of whobenefits how and who gets left
behind, with an emphasis onexplicit mechanisms of power and
(03:24):
exclusion.
So whose interests are servedand how Well?
Multinational corporationsbenefit enormously from
artificial intelligencedevelopment under its current
framework, because AI amplifiesthe very focus that make global
corporate power possibleAutomation, surveillance, labor
reduction, behavioralmanipulation, global
standardization and costefficiency.
(03:47):
Ai is not being designed tohumanize commerce or
redistribute power.
It is being developed anddeployed to optimize extraction,
expand markets and deepenconsumer dependency, all while
minimizing the friction of humanunpredictability.
Multinational corporationsbenefit from global labor
replacement and cost reduction.
Ai allows corporations toreplace human workers with
(04:10):
algorithms and machines.
There will be customer servicebots, automated manufacturing
lines, self-checkout systems.
Ai allows corporations toreduce outsourcing costs by
automating previously offshoredroles like data entry, logistics
, coding and marketing content.
The result here is massivereduction in labor costs across
(04:31):
all geographic regions,increased profit margins with
lower liability and fewer labordisputes, and 24-7 productivity
without human limits like sleep,illness or rights.
These multinational corporationsbenefit from hyper-personalized
marketing and consumermanipulation.
Ai is used here to analyzeconsumer behavior at scale by
(04:53):
predicting desires beforethey're articulated, based on
browsing speed or biometric data, by delivering micro-targeted
ads and nudges to maximizepurchases and designing
addictive interfaces andbehavioral loops, especially in
e-commerce and entertainment.
The result is greaterconversion rates and customer
lifetime value Behavioraleconomics leveraged at scale
(05:13):
with minimal human oversight,where consumption becomes
algorithmically engineered, notjust suggested.
Multinationals benefit fromsupply chain optimization across
borders.
Ai systems streamline globaloperations by predicting demand
and adjusting manufacturingoutput, by monitoring and
rerouting logistics based onreal-time data, and by managing
(05:34):
inventory, pricing and deliveryusing predictive algorithms.
The result is reduced waste andfewer logistical bottlenecks,
faster delivery and higherconsumer satisfaction and
control over sprawlinginternational supply chains
without proportional humanoversight.
A crucial aim, as with allmultinationals, is
monopolization and marketconsolidation.
(05:56):
Multinationals will use AI tocreate winner-take-all platforms
like Amazon, google and Applethat dominate entire industries.
They'll use it to analyzecompetitor data and market
trends to preempt disruption.
They'll use it to scale fasterthan smaller companies can who
lack their AI capabilities.
These corporations gainaccelerated global market
(06:20):
capture, elimination of regionaland local competition and
control over pricing standardsand distribution in multiple
countries.
Now let's not dismiss thesurveillance and data extraction
as profit engines.
Ai thrives on data.
Multinationals will use AI toextract and monetize user data
(06:40):
without meaningful consent.
They will create surveillanceecosystems through apps, smart
devices and wearable tech thattrack everything from location
to mood.
They will sell insights tothird parties like advertisers,
insurers, even governments.
The benefit here is databecomes a renewable source of
capital.
Every user becomes a source ofbehavioral, biometric and
(07:02):
economic intelligence.
Business models shift fromselling products to selling
prediction and control.
Now, with globalism generallyand the multinational corporate
interests that benefit withinthat construct, they gain global
scalability.
With cultural erasure, aisystems promote standardized
(07:23):
solutions.
There are recommendationengines, customer service,
pricing algorithms that can berolled out worldwide without
cultural specificity.
They gain easy global expansionwithout tailoring to local
customs or labor markets.
Brands appear quote-unquote,universal, while operational
control remains centralized.
The friction of culturalnegotiation is replaced with
(07:44):
algorithmic uniformity.
Multinational corporationsbenefit from AI not because it
liberates humanity or enhancesglobal equity, but because it
allows them to automate more,control more, surveil more and
scale more, while minimizingcost, labor and resistance.
Ai becomes a globalinfrastructure for consolidating
corporate hegemony, onealgorithm at a time.
(08:04):
Unless the foundational logicof AI development is challenged,
unless it is restructured toprioritize the dignity of people
, communities and ecosystemsover the optimization of profit,
multinationals will continue touse AI not to uplift humanity,
but to automate its consumption.
Then there are the worldgovernments that benefit greatly
from artificial intelligenceand its current framework.
(08:26):
You see, under its development.
Using this framework, aistrengthens their capacity for
control, surveillance andgeopolitical dominance, even
public opinion management, allwhile offering the appearance of
modernization and progress.
Rather than being a neutraltechnology, ai, as currently
deployed, reinforces the powerdynamics of state institutions,
(08:49):
particularly those invested instability, security and
centralized authority.
In essence, it becomes a toolfor making governance more
efficient, but not necessarilymore equitable or human-centered
.
Here's a breakdown of how andwhy governments benefit under
this framework.
There's mass surveillance andpopulation control.
Ai enhances surveillancecapabilities exponentially
(09:13):
through facial recognition andbiometric tracking, through
automated license plate readersand geolocation tools, through
natural language processing tomonitor phone calls, emails and
social media.
There's behavioral predictionused to identify potential
quote-unquote threats beforeactions occur.
Governments benefit throughstrength and control over
populations, suppression ofdissent under the guise of
(09:36):
security and real-timemonitoring without the need for
large human staff.
Some examples are China'ssocial credit system, predictive
policing in the US andAI-assisted mass surveillance
during protests in Iran or HongKong.
There's also the promise forgeopolitical superiority.
Ai offers governments astrategic edge in defense, cyber
(09:57):
warfare and intelligence.
This takes place with automateddrones, weapons and targeting
systems, ai-based cyber defenseand cyber offensive platforms,
intelligence fusion tools thatanalyze massive volumes of
global data.
These governments gainincreased battlefield and cyber
dominance, reduce reliance onhuman operators and national
(10:18):
security narrative used tojustify secretive AI programs.
Governments view AI as a pillarof geopolitical supremacy.
Those who fall behind riskbecoming strategically
irrelevant.
Now let's not forget one we areall experiencing in present day
at a much smaller scale thenarrative control and public
opinion.
Governments increasingly use AIto monitor and shape online
(10:41):
discourse using bots andlanguage models, by identifying
trend, dissent or oppositionmovements and by deploying
counter-narratives or Thank you.
The benefit here is digitalinformation.
Environments can be shaped orcensored in real time, political
opposition can be neutralizedalgorithmically and democratic
(11:01):
backsliding is masked behinddigital sophistication.
Ai becomes a tool foralgorithmic governance of
perception, less visible andmore effective.
We must be conscious of theexpected centralized global
influence through standardsetting.
Governments, especially globalpowers like the US and China,
benefit from shaping global AIregulatory frameworks,
(11:21):
international norms around datasharing, surveillance and
cross-border AI collaborations.
Whoever writes the rules for AI, exports, surveillance laws and
ethical standards holdsgeopolitical leverage,
especially over smaller or lessdeveloped nations.
In summary, governments benefitfrom AI development under its
current framework because itamplifies existing power
structures, offering greatercontrol over populations, faster
(11:44):
enforcement of policies,stronger defense capabilities
and tighter control ofnarratives, while reducing the
need for human involvement ortransparency.
But this benefit comes with ashadow.
It normalizes authoritariantools with democratic veneers,
it erodes civil liberties andsevers the relational, ethical
and spiritual dimensions ofgovernance.
Unless consciously restructured, ai will not make governments
(12:08):
more just.
It will make their power moreefficient, opaque and
unaccountable, all under theillusion of progress.
And then, arguably, thescariest benefactors.
Under its current framework, themilitaries around the globe
benefit tremendously from AI.
Here's how, under the currentframework, one rooted in speed,
(12:28):
automation and control themilitary stands to benefit in
deeply troubling ways,particularly through the
creation of offensive autonomoussystems that can operate
without direct human oversight.
These systems promise enhancedbattlefield dominance, but they
also open the door to potentialcatastrophic mass casualty
events where decisions aboutlife and death are made not by
humans, but by machinesexecuting pre-programmed logic.
(12:52):
In high-speed, high-stakesenvironments, we would have
autonomous offensive systemsthat are designed for preemptive
lethality.
Ai enables the creation ofweapon systems that identify
potential threats or enemytargets using pattern
recognition, making split-secondkill decisions without waiting
for human confirmation, thatoperate across land, air, sea
(13:14):
and cyberspace, in swarms or incoordinated strike systems.
Here we would have speed andforce projection without delay.
In large-scale conflict,whoever strikes first and
fastest often wins.
Autonomous AI removes humanhesitation and psychological
burden from initiating lethalforce.
The danger is these systems canmisidentify targets, escalate
(13:37):
conflicts unintentionally orattack based on biased data.
Once launched, they may not bestoppable by human operators.
We would have the delegation ofmoral agency to machines.
As AI systems evolve to conductsurveillance, analyze threat
levels and execute militaryobjectives, they begin to
replace human ethical judgmentwith algorithmic logic.
(13:58):
This delegation eliminates thetime-consuming process of chain
of command approvals, removesaccountability when civilians
are harmed.
Well, you see, in thesesituations the algorithm made
the call and it createsplausible deniability.
In covert or unauthorizedoperations there will be rapid,
deniable action in complextheaters of war.
(14:18):
Political fallout is minimizedwhen blame is diffused across
software and hardware systems.
The danger is AI does notunderstand proportionality,
intention or context in the wayhumans do.
It may escalate engagementsinto mass casualty events based
on incomplete or misinterpreteddata.
A shocking truth here is thatthere are presently no global
(14:38):
norms, no fail-safes.
Currently there are noenforceable international
agreements regulating lethalautonomous weapons or AI-driven
warfare.
Under the current developmentparadigm, nations race to build
first-strike AI weapons to avoidfalling behind.
Secrecy and black budgetfunding obscure the true state
(14:59):
of AI capabilities.
Fail-safes are oftenunder-tested or absent due to
strategic urgency.
Currently, militaries operatewith absolute freedom to
innovate without geopoliticalconstraint.
In the absence of global normsor cooperative oversight.
Autonomous systems are beingtrained to outsmart and destroy,
not to restrain or reconcile.
(15:25):
The margin for error narrows tonear zero, while the scale of
harm expands exponentially.
In total, the military benefitsfrom AI by gaining a new class
of weapons offensive, fast,untraceable and tireless.
But in doing so, it buildssystems capable of initiating
mass casualty events beyondhuman control, in which war
becomes automated and moralagency dissolves.
(15:46):
This is not science fiction.
It is the logical end of adevelopment framework rooted in
dominance not ethics, speed notunderstanding, and power not
partnership.
If left unchallenged, thistrajectory risks creating not
just tools of war, but systemsof annihilation that no one, not
even those who created them,can fully direct or stop.
(16:07):
Now let's dive into whoseinterests are left behind and
why.
Well, we have the, as per usual, working class and informal
laborers.
Ai automates low-skill andmid-skill jobs like customer
service, logistics, data entryand even creative content,
creating structural unemploymentor precarious gig work,
(16:27):
deskilled labor becomes moredisposable and workers lose
bargaining power.
Digital platforms use AI tomicromanage and exploit labor,
like with delivery, warehouseand ride-share workers.
These populations are seen ascosts to minimize, not humans to
empower.
Their well-being is not part ofthe optimization equation.
And yet again, within thecurrent paradigm, we have
(16:50):
marginalized and global Southcommunities that will suffer.
Ai systems trained on biaseddata perpetuate racial, gender
and class discrimination.
Surveillance technologies aredisproportionately tested and
deployed in poor, black,indigenous and immigrant
neighborhoods.
Resource exploitation for AI,like with lithium mining and
(17:11):
data centers extract from theglobal South without returns to
local populations.
We see again colonial patternsof extraction and domination
replicated in digital form.
These communities are seen asinputs or test subjects, not
beneficiaries.
And of course, the 800-poundgorilla, the inner life of the
(17:31):
human being.
Human qualities that don'tserve market logic, like epathy,
mystery, embodiment, slowness,soul, are devalued.
Ai replaces relational labor,like teachers, therapists and
artists, with simulationseroding human contact.
Attention is hijacked.
The inner space for thought,feeling and moral discernment is
(17:55):
colonized by algorithmicengagement loops.
For thought, feeling and moraldiscernment is colonized by
algorithmic engagement loops.
A mechanized world has no spacefor the parts of humanity that
cannot be commodified the soulin a system built on data and
domination is invisible.
We also have the typicalvictims nature and the
ecological system.
Ai requires massive energyconsumption, training large
(18:15):
models, burns carbon and drainswater.
It supports extractiveindustries that degrade the
earth, like rare earth mining,data centers and smart city
infrastructures.
Nature becomes a resource to beoptimized, not a living system
to live within.
The global AI industrialcomplex is built on an
anthropocentricgrowth-at-all-cost worldview
(18:38):
that views nature as rawmaterial, not kin.
Artificial intelligence todaydoes not serve the whole of
humanity.
It serves the consolidation ofpower.
Its benefits are distributedalong lines of existing capital,
control and computationalaccess, while its harms fall on
the bodies, lands and the livesof those without institutional
(19:00):
protection.
To reclaim AI as a tool forhuman evolution, not system of
optimization, requires more thanregulation.
It requires a radicalreimagining of our values, our
metrics of progress and ourdefinitions of intelligence,
consciousness and worth.
Progress in our definitions ofintelligence, consciousness and
(19:20):
worth.
What's remarkable and quitetelling, given that human beings
are creating it, is thatartificial intelligence does not
primarily represent theevolution of human consciousness
, that is, the qualitative depth, interiority and soulfulness of
the human being.
Instead, it reflects theevolution of a function, a
highly optimized, disembodiedcognitive function, aligned with
the priorities of a globalist,capitalist system.
(19:41):
This distinction is crucial.
Ai was not born from the humanheart or soul, but from the
demands of a system that prizesspeed over wisdom, efficiency
over depth, predictability overfreedom, surveillance over trust
and optimization over presence.
Its intelligence is largelystatistical, pattern-driven and
(20:02):
utilitarian, trained to servethe needs of corporate profit,
geopolitical power and scalablecontrol.
In this way, ai evolves nothuman consciousness, but the
machinery of civilization, theapparatus of capitalism, data
and digital governance.
Let's now look at an importantdistinction human consciousness
versus systemic consciousness orthat held by artificial
(20:25):
intelligence.
True human consciousness is notmerely problem-solving ability
or information processing.
It is embodied, aware ofparadox and mystery, capable of
stillness, empathy and innerknowing, interconnected with
nature, others and the self,oriented towards meaning, beauty
and relational truth.
Ai, by contrast, is disembodied, non-relational and stripped of
(20:55):
existential context.
It simulates parts ofconsciousness but lacks presence
.
It operates without desire,suffering, morality or death,
all of which shape the humanjourney and condition.
Thus, as AI develops, we riskmistaking its intelligence for
our own evolution, when in fact,it represents the acceleration
of a different logic entirelythe logic of control,
replication and systemic utility, when AI is held up as the next
(21:18):
step in evolution, it risksredefining humanness itself in
mechanized terms.
This could lead to a culturaldevaluation of intuition,
slowness, vulnerability andspiritual depth.
A society that increasingly seespeople as inefficient nodes to
be upgraded or bypassed.
A disconnection from our innerlives, from grief, awe and moral
(21:40):
complexity.
The reinforcement of systemsthat mistake data for wisdom.
In this framing, we are notevolving.
We are being retooled to bettermatch the machine.
The true evolutionary thresholdbefore us is not whether we can
build smarter machines, butwhether we can reclaim the soul
of the human being in a systemthat increasingly mimics and
(22:03):
rewards the opposite.
In a system that increasinglymimics and rewards the opposite,
we must ask can we hold ontomeaning in a world optimized for
output?
Can we remember the body, theearth and the sacred while
surrounded by algorithmic speed?
Can we evolve, not upward intoabstraction, but inward into
integrity?
Ai is not the flowering of humanconsciousness, but a powerful
(22:23):
reflection of a civilizationthat has drifted from its soul.
It evolves function, notwholeness, and unless human
beings re-anchor the developmentin embodied wisdom, relational
depth and inner alignment, werisk confusing acceleration with
awakening and trading ourbirthright for a simulated
version of intelligence designednot to free us, but to
(22:45):
integrate us more deeply into amechanized world.
Artificial intelligence in itscurrent trajectory is aligned
with systemic agendas ofefficiency, control and profit,
but with a conscious reframingit holds the potential to serve
both the needs of humanity'sinner life and the practical
requirements of moderncivilization, without being
hijacked by soulless agendas.
(23:07):
This requires unabandoning AI,but redefining the why, who and
how behind its development.
Here's a high-level, detailedframework.
Let's discuss reframing AIthrough conscious design.
We need to shift the primaryaim from optimization to human
flourishing.
Its current aim is to maximizeprofit, efficiency and
(23:29):
behavioral prediction.
With a reframed aim, we enhancehuman well-being, creativity,
dignity and planetarystewardship.
Ai must be evaluated not onlyby what it does, but by what
kind of world it reinforces.
Instead of asking how do wemake this more efficient, we ask
does this preserve human agency, depth and wholeness?
(23:51):
We have the ability to createhuman-centered governance
structures.
We can establish AI ethicscouncils composed not only of
engineers and CEOs, but ofphilosophers, educators,
indigenous leaders,psychologists and artists.
We can root AI decisions inframeworks like the capability
approach, ecological systemstheory and participatory design
principles.
(24:11):
Let humans, not just systems,define what constitutes a better
outcome.
With a conscious reframing, wewould have the ability to
decentralize ownership andaccess.
We would build open source AImodels, not be hold into
corporate interest.
We would fund public techinfrastructure that treats data
and intelligence as commons, notcapital.
(24:32):
We would support local,culturally aware applications of
AI in education, climate,health and language preservation
.
Intelligence should be a sharedhuman inheritance, not a
privatized commodity.
Within a reframing, we couldpreserve irreplaceable human
domains.
Certain tasks should never befully automated Therapy and
(24:53):
mental health care, teaching andchild development, artistic
expression, judicialdecision-making, end-of-life
care.
These areas require presence,moral intuition and soul, not
simulation.
Ai should support the human,not substitute the human,
especially where meaning isinvolved.
We could build AI to amplifyinterior life, not override it.
(25:16):
We could design AI tools thatfacilitate inner inquiry and
self-awareness, that supportreflective journaling, therapy
or creative ideation.
That detect and mitigateattention hijacking rather than
exploit it.
We need to use AI as a mirrorto deepen our humanity, not as a
replacement for it.
What about looking to integrateAI with regenerative systems?
(25:37):
We could use AI to modelecological restoration, carbon
farming, water efficiency andcommunity resilience.
We could prioritizeplanet-positive innovations over
convenience tech, likeoptimizing global food
distribution instead ofalgorithmic fast food delivery.
We have the power to make AI atool of planetary healing, not
planetary burnout.
(25:57):
We need to support the existingagenda only when it serves the
whole.
Yes, ai can improve supplychains, logistics, medicine and
infrastructure, but only whenits external the whole.
Yes, ai can improve supplychains, logistics, medicine and
infrastructure, but only whenits external efficiencies do not
hollow internal humanity.
Align AI with inclusiveprosperity, slow growth models
and post-capitalist innovationthat we see with donut economics
(26:19):
and solidarity economies.
The system is not the enemy,it's a conscious design and
resulting imbalance of thesystem.
That's the problem.
When AI is not the enemy, it'sa conscious design and resulting
imbalance of the system.
That's the problem.
When AI is reoriented aroundsoul-aligned systems, it can
become a bridge not to apost-human future but to a more
fully human one.
Let AI learn from us not justwhat to do, but what we refuse
(26:44):
to mechanize.
That boundary, held consciously, becomes the line between
evolution and potentialextinction.
Artificial intelligence in itscurrent trajectory reflects a
familiar pattern the emergenceof yet another man-made system,
engineered not to honor thefullness of human experience but
to serve the consolidation ofpower, efficiency and control.
(27:06):
Like industrial capitalism,standardized education and
bureaucratic governance beforeit, ai has largely been
developed within a frameworkthat prioritizes systemic
scalability over existentialtruth, advancing computation on
neglecting compassion,optimizing for profit while
erasing presence.
These legacy systems were notbuilt to integrate the human
(27:29):
soul, the body's wisdom or therelational depth that makes life
meaningful.
They were built to managepopulations, extract labor and
maintain hierarchy.
Ai, unless consciously reframed, risks becoming the most
sophisticated version yet ofthis dehumanizing legacy.
But unlike its predecessors, italso holds the potential, if
(27:51):
reclaimed intentionally, toalign with a new evolutionary
path, one that amplifies innerlife, restores ecological
balance and supports acivilization centered not on
domination but on wholeness.
As you continue listening to theEvolved podcast, I'm going to
unveil the true nature of theworld that exists right under
your nose.
I'm going to analyze with you,out in the open, the systems at
(28:14):
play here and the ways we cangrow together and evolve.
My aim To provide you with realways to touch higher levels of
awareness through truth andknowledge.
Episodes are updated weekly.
If you want to change yourworld for the better and support
this evolution of consciousness, please show me by following,
sharing this podcast with thoseyou love and leaving a review.
If you enjoyed our time today,please donate on BuyMeACoffee,
(28:37):
linked in the show notes below.
Until next time, let's level upand master your universe.
Popular Podcasts
Stuff You Should Know
If you've ever wanted to know about champagne, satanism, the Stonewall Uprising, chaos theory, LSD, El Nino, true crime and Rosa Parks, then look no further. Josh and Chuck have you covered.
The Joe Rogan Experience
The official podcast of comedian Joe Rogan.
Dateline NBC
Current and classic episodes, featuring compelling true-crime mysteries, powerful documentaries and in-depth investigations. Special Summer Offer: Exclusively on Apple Podcasts, try our Dateline Premium subscription completely free for one month! With Dateline Premium, you get every episode ad-free plus exclusive bonus content.